GEOS-Chem Adjoint Model: Difference between revisions

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<big>'''Adjoint and Data Assimilation Working Group'''</big>
== Contact information ==


{| border=1 cellspacing=0 cellpadding=5
|-valign="top"
!width="300px" bgcolor="#CCCCCC"|Adjoint Model Scientist
|width="600px"|[mailto:daven.henze@colorado.edu Daven Henze]
|-valign="top"
!bgcolor="#CCCCCC"|GEOS-Chem Adjoint support team
|
*[mailto:yanko.davila@colorado.edu Yanko Davila],
|-valign="top"
!bgcolor="#CCCCCC"|Adjoint Model email list
|<tt>geos-chem-adjoint [at] g.harvard.edu</tt>
|-valign="top"
!bgcolor="#CCCCCC"|To subscribe to email list
|Either
*Send an email to <tt>geos-chem-adjoint+subscribe [at] g.harvard.edu</tt>
Or
*Go to [https://groups.google.com/a/g.harvard.edu/forum/#!forum/geos-chem-adjoint Adjoint Google Group], then
*Click on '''Subscribe to this group'''
|-valign="top"
!bgcolor="#CCCCCC"|To unsubscribe from email list
|Either
*Send an email to <tt>geos-chem-adjoint+unsubscribe [at] g.harvard.edu</tt>
Or
*Go to the [https://groups.google.com/a/g.harvard.edu/forum/#!forum/geos-chem-adjoint Adjoint Google Group], then
*Click on the '''My Settings''' button
*Click on '''Leave this group'''
|}


== Historical Development ==
== Historical Development ==
Original work on the adjoint of GEOS-Chem v6 began in 2003, focusing on the adjoint of the offline aerosol simulation.  By 2005, the adjoint was expanded to include a tagged CO simulation and a full chemistry simulation; an adjoint of GEOS-Chem v7 was also developed in the following years. Each of these branches of the adjoint code were been constructed in a hybrid fashion using a combination of automatic differentiation software ([http://www.autodiff.com/tamc TAMC], [http://people.cs.vt.edu/~asandu/Software/Kpp/ KPP]) and manual coding of both discrete and continuous adjoints.  They shared many common elements yet had unique features for different applications.  
Original work on the adjoint of GEOS-Chem v6 began in 2003, focusing on the adjoint of the offline aerosol simulation.  By 2005, the adjoint was expanded to include a tagged CO simulation and a full chemistry simulation; an adjoint of GEOS-Chem v7 was also developed in the following years. Each of these branches of the adjoint code were been constructed in a hybrid fashion using a combination of automatic differentiation software ([http://www.autodiff.com/tamc TAMC], [http://people.cs.vt.edu/~asandu/Software/Kpp/ KPP]) and manual coding of both discrete and continuous adjoints.  They shared many common elements yet had unique features for different applications.  


During the summer of 2009, the existing branches were merged and updated to bring the adjoint into alignment with the latest release of GEOS-Chem, v8-02-01.  This merged adjoint model is now the standard adjoint code into which all further development efforts will be placed.
During the summer of 2009, the existing branches were merged and updated to bring the adjoint into alignment with the latest release of GEOS-Chem, v8-02-01.  This merged adjoint model is now the standard adjoint code into which all further development efforts will be placed.


== Current Forward Model Code ==
== Forward Model Code ==


The forward model on which the adjoint is based corresponds to GEOS-Chem v8-02-01 with the following updates:
The forward model on which the adjoint is based originally corresponded to GEOS-Chem v8-02-01. It was subsequently updated as follows:
   
   
* KPP solver for gas-phase chemistry (as in GCv8-02-03)
* KPP solver for gas-phase chemistry (as in GCv8-02-03)
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* Apply bug fixes from GCv8-02-04 listed [http://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-Chem_v8-02-04#Previous_issues_now_resolved_in_v8-02-04 here]
* Apply bug fixes from GCv8-02-04 listed [http://wiki.seas.harvard.edu/geos-chem/index.php/GEOS-Chem_v8-02-04#Previous_issues_now_resolved_in_v8-02-04 here]


== Current Adjoint Code ==
All bug fixes and model updates were previous listed at the top of inverse_driver.f.  Since then the code has been kept up to date with bug fixes and some forward model updates in v9 and v10. We have now switched to documenting the code development cycle here in the wiki, see the following section.
 
== Code Versions, Bug Fixes and Developments ==
 
=== User's Guide ===
* [[GEOS-Chem Adjoint User's Guide]] (note, may need updating)
 
=== Current GEOS-Chem adjoint version released ===
*[[GEOS-Chem_Adjoint_v36]] (You will download this version when you check out.)
 
=== Previous GEOS-Chem adjoint versions released ===
*[[GEOS-Chem_Adjoint_v35]] (You can checkout the last release of this with: git checkout v35n)
*[[GEOS-Chem_Adjoint_v34]]
*[[GEOS-Chem_Adjoint_v33]]
*[[GEOS-Chem_Adjoint_v32]]
*[[GEOS-Chem_Adjoint_v31]]
 
== Summary of Main Adjoint Code Supported Features ==


=== Features ===  
=== Features ===  
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** GEOS-3 <i>needs testing</i>
** GEOS-3 <i>needs testing</i>
** GEOS-4
** GEOS-4
** GEOS-5  
** GEOS-5
** GEOS-FP
** MERRA and MERRA2 <i>in progress</i>
* model resolution
* model resolution
** 4 x 5
** 4 x 5
** 2 x 2.5  
** 2 x 2.5
** 0.5 x 0.666
** 0.25 x 0.3125
** Nested China and North America
** Small Domain China and North America
* Forward model processes
* Forward model processes
** convection
** convection
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** PBL mixing
** PBL mixing
** dry deposition
** dry deposition
** wet deposition <i> needs GEOS-4 testing </i>
** wet deposition
** strat / trop exchange with LINOZ <i> implemented, but will be updated once v8-02-04 is released </i>
** strat / trop exchange with LINOZ and new GMI strat chem (v9-01-03)
** NOy up fluxes  
** NOy up fluxes (now replaced with new GMI strat chem)
** aerosols  
** aerosols  
*** inorganic aerosol thermodynamics  
*** inorganic aerosol thermodynamics with RPMARES
*** inorganic aerosol thermodynamics with ISORROPIA <i> in progress </i>
*** sulfate chemistry  
*** sulfate chemistry  
*** BC
*** BC
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** tagged CO
** tagged CO
** tagged Ox  
** tagged Ox  
** CO2<i> in progress </i>
** CH4
** methane  <i> in progress </i>
** offline aerosols (for BC and dust only)
** CO2
* Observational Operators
* Observational Operators
** MOPITT CO column
** MOPITT CO column
** SCIAMACHY CO column
** SCIAMACHY CO column
** AIRS CO column
** AIRS CO column
** IMPROVE PM2.5 (NO3, SO4, OC, BC) <i> needs updating </i>
** IMPROVE BC
** CASTNet (NH4+) <i> needs updating </i>  
** CASTNet (NH4+) <i> needs updating </i>  
** GOME / SCIAMACHY NO2 column <i> needs updating </i>  
** GOME / SCIAMACHY NO2 column <i> needs updating </i>  
*** using KNMI retrieval (Henze)
*** using KNMI retrieval (Henze)
*** using Dalhousie retrieval (Shim)
*** using Dalhousie retrieval (Shim)
** SCIAMACHY/OMI NO2
*** using Dalhousie retrieval (Bousserez, Padmanabhan)
** TES NH3  
** TES NH3  
** TES O3
** TES O3  
** GOSAT CO2
** MLS O3 and TES CO2 <i> in progress </i>
* Control parameters
* Control parameters
** Initial Conditions scaling factors (linear or log)
** Initial Conditions scaling factors (linear or log)
** Emissions scaling factors (linear or log)  
** Emissions scaling factors (linear or log)  
*** NH3, primary BC/OC, SO2: anthropogenic, natural, bioburn, biomass, ship
*** NH3, primary BC/OC, SO2: anthropogenic, natural, bioburn, biomass, ship
*** NOx: soil, lightning, aircraft, anthropogenic, biofuel, bioburn
*** NOx: soil, aircraft, anthropogenic, biofuel, bioburn
*** Lightning NOx: injection height, yield <i> in progress </i>
*** all other gas-phase tracers: anthropogenic, biofuel, bioburn  
*** all other gas-phase tracers: anthropogenic, biofuel, bioburn  
* Adjoint sensitivities
* Adjoint sensitivities
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** w.r.t all emissions  
** w.r.t all emissions  
** of AQ attainment metrics <i> needs updating </i>
** of AQ attainment metrics <i> needs updating </i>
** of spatiotemporally averaged species concentrations (e.g., arctic O3) <i> needs updating </i>
** of spatiotemporally averaged species concentrations (e.g., arctic O3)  
* Other
* Other
** Inverse Hessian approximation <i> needs updating </i>
** Inverse Hessian approximation  
** off-diagonal covariance matrices <i> needs updating </i>
** off-diagonal covariance matrices <i> needs updating </i>
** 3D-Var <i> needs updating </i>
** 3D-Var <i> needs updating </i>
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* <i>needs updating</i>: a feature developed with a previous branch that has yet to be updated to GEOS-Chem v8 and the merged adjoint
* <i>needs updating</i>: a feature developed with a previous branch that has yet to be updated to GEOS-Chem v8 and the merged adjoint
* <i>needs doing</i>: a feature nobody has tackled the adjoint of yet
* <i>needs doing</i>: a feature nobody has tackled the adjoint of yet
* <i>in progress</i>: a feature currently under development
* <i>in pipeline</i>: a feature which has been submitted and awaiting integration into the CVS repository


=== Primary code developers ===
=== Primary code developers ===
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=== Adjoint model lead scientist ===
=== Adjoint model lead scientist ===
Daven Henze  
Daven Henze


== Documentation ==
 
 
== Resources ==


=== User's guide ===
=== User's guide ===
A user's guide is available.  http://adjoint.colorado.edu/%7Edaven/gcadj_std/GC_adj_man.pdf 
A User's Guide v36 is available.  [https://o365coloradoedu-my.sharepoint.com/:b:/g/personal/henzed_colorado_edu/EZnMaQ_EFDJPqmjweVDjeJsBWvNMYMFkwMrO79xoEz24fw?e=e7miKT User's Guide v36]
 
Manuals for previous versions are available [https://o365coloradoedu-my.sharepoint.com/:f:/g/personal/henzed_colorado_edu/Env5s1xpZstChyuI8FNpVxABsebaaEEyKxAvLi-CMoHYMQ?e=uWVcum here]
 
Quick Introduction to GitLab is available at [https://o365coloradoedu-my.sharepoint.com/:b:/g/personal/henzed_colorado_edu/ER0i5xiF-RZCvDPLk7VueVABt-Pk9x1j23wfCmrBj9Qr_A?e=lwf2X4 GitLab Tutorial]
 
The forward version of the code is based on v9-02 here is the [http://acmg.seas.harvard.edu/geos/doc/archive/man.v9-02/ User's Guide]


=== Code flowchart ===
=== Code flowchart ===
Meemong Lee has created a detailed flowchart of the inverse model code structure. http://adjoint.colorado.edu/~daven/gcadj_std/flowchart.pdf
Meemong Lee has created a detailed flowchart of the inverse model code structure. [https://o365coloradoedu-my.sharepoint.com/:b:/g/personal/henzed_colorado_edu/Ebh7xC_gKIlKqw1Uu1n5pUsBplcwZ2-5js7fMbjNuC5OTQ?e=AufhHP flowchart.pdf]
 
=== Plotting tools ===
 
Some IDL and MATLAB routines for plotting benchmark results.  [https://o365coloradoedu-my.sharepoint.com/:u:/g/personal/henzed_colorado_edu/EWfSVsy5lQRJkvbh3aU8ImcBH1Sf4ZLdaG45uIws7FyjWg?e=t6izjP tools.tar.gz]
 
=== Background papers and presentations ===
 
Several articles and presentations (including a GC adjoint modeling clinic overview from IGC5) providing background information about adjoints.  [https://o365coloradoedu-my.sharepoint.com/:u:/g/personal/henzed_colorado_edu/EXpSKK_iNZxFg2xvlilPDUIBID83RktnyvmdTZnxr8A96Q?e=iWPfZo adj_articles.tar.gz]


== Distribution and Use ==
== Distribution and Use ==
Code for the adjoint is distributed through a CVS server located at adjoint.colorado.edu.  Contact Daven Henze to obtain an account on the server.
Code for the adjoint is distributed through GITLAB, a web interface connected to a GIT server located at adjoint.colorado.edu. You can access GITLAB at https://adjoint.colorado.edu:8080 after your account is created. Here is our [[Quick Start Guide]].
 
Even if your office mate has a copy of the code, the best way to obtain the model is to get an account for yourself and download a version from the repository.  So please do not copy code directly from others or pass the code along to third parties.  This vastly helps with tracking developments and keeping up with model updates.
 
Use of the adjoint model code follows standard practice for GEOS-Chem.  It is expected that any developments that come of individual applications based on this community model will eventually be given back to the community by incorporation of new developments into the standard adjoint code.  New development should be submitted to Daven Henze for inclusion in the standard adjoint model code.
 
Using GIT gives the users the ability to change the code and commit their changes without affecting the main repository hosted at adjoint.colorado.edu. Users can work with their modified versions of the code and even create their own tags because GIT acts as a local repository. When ready to submit your update to the community just create a new branch with your modifications.  Send an email Daven Henze explaining your contributions and we'll do our best to include them as soon as possible.
 
=== Quick guide to GIT ===
As of version 34 we started using git versioning system and the GitLab web interface. We prepared [https://drive.google.com/file/d/1GYQObL12D0WynmC1BO2KRaHq87Ww7COg/view?usp=sharing  GitLab Tutorial] to help users get used to the web interface and git. We recommend first taking a look at GIT manual to get a general feel for how this tools works (e.g., [http://git-scm.com/documentation GIT Documentation] or [http://www.kernel.org/pub/software/scm/git/docs/git.html GIT Manual Page]).
 
 
Useful GIT commands:   
 
Initial download:
git clone ssh://git@adjoint.colorado.edu/yanko.davila/gcadj_std.git
 
Status of project vs the current repository:
git status
 
Check difference of files (differences have colors for easy reading)
git diff --color <wildcard> [<wildcard>] <path>/foo_mod.f
 
Checkout specific version
git checkout <wildcard>
 
Replacing a file with the newest version from the repository:
git checkout origin/master -- <path>/foo_mod.f
 
Merging changes in a file: ([http://www.kernel.org/pub/software/scm/git/docs/git-merge.html Reference])
git merge -m <wildcard>
 
Comitting
git commit -a


Even if your office mate has a copy of the code, the best way to obtain the model is to get a CVS account for yourself and download a version from the repository. So please do not copy code directly from others or pass the code along to third parties.  This vastly helps with tracking developments and keeping up with model updates.
Tagging a version
  git tag -a TAGNAME


Use of the adjoint model code follows standard practice for GEOS-Chem.  It is expected that any developments that come of individual applications based on this community model will eventually be given back to the community by incorporation of new developments into the standard adjoint code.  New development should be submitted to Daven Henze for inclusion in the standard adjoint model code.  
Deleting a tag
git tag -d TAGNAME
  git push origin :refs/tags/TAGNAME


== Giving credit for using the adjoint model ==
Saving changes to repository
git push


We aim to make distribution of adjoint model code as immediate as possible. A consequence is that many features may not yet be publicly documented.  Therefore, giving code developers due credit is of utmost importance.  At this point, any use of the GEOS-Chem model adjoint should include as co-authors the primary developers: Daven Henze, Monika Kopacz, Kumaresh Singh and Changsub Shim.  In trade, we provide user support.  As the model matures and user support become less of an issue, these requirements will be relaxed.
Saving tags to repository
  git push --tags


Authors of new additions to the standard code will be given due credit on the first round of publications to come of their development.  Hence, additional co-authors may also be required if the application uses features that are newly developed by additional developers.  
List the history of a file:
git log -- <path>/foo_mod.f


Lastly, it is requested that users of the GEOS-Chem adjoint consider offering co-author ship to several additional scientists who have contributed to the adjoint code support and progress, such as Kevin Bowman, Adrian Sandu and Daniel Jacob.
Add a file to the repository
git add <file_name>


Overall, if you have any questions about authorship, even for a conference presentation, please contact Daven Henze.
Delete a file from the repository
git rm <file_name>


Determine current version
git show HEAD [ | grep commit]


Download remote changes, rewind your local branch, then replays all your changes over the top of your current branch one by one, until you’re all up to date.
git pull --rebase
There are several wildcards that you can use on git for example:<br/>
''"origin/master"'' - Latest version on the repository <br/>
''"HEAD"'' - Latest version as of your last download <br/>
''"[http://adjoint.colorado.edu:8080/gcadj_std/commits/72773d7b1a7bd757957d2c186acb3dbb107d5323 v33i]"'' -  Specific TAG, find all tag names on GitLab<br/>
''"[http://adjoint.colorado.edu:8080/gcadj_std/commits/32d5c926ef529c1dfc640c9dec4a925b24db575c 32d5c926e]"'' - Specific COMMIT, find all commit numbers on GitLab <br/>
[[Using_Git_with_GEOS-Chem|Here is the foward model documentation of git.]]
=== Backward compatibility (CVS) ===
For people using old version of the code we still have active our CVS repository, but note that the latest version on CVS is v33i-patch2. Here you can find our [[Quick Guide to CVS]]
== Crediting GEOS-Chem adjoint developers ==
We aim to make distribution of adjoint model code as immediate as possible.  A consequence is that many features may not yet be publicly documented.  Therefore, giving code developers due credit is of utmost importance. 
Authors of new additions to the standard code should be offered co-authorship on the first round of presentations and publications to come of their development.  Features currently falling in this category and their developers are:
* (v36) UCX  Thibaud Fritz,  Irene Dedoussi, MIT, TU Delft
* (v35j) MOPITT CO Observation operator.  Zhe Jiang; Yanko Davila, CU Boulder.
* (v35j) OMI SO2, OMI NO2 and TES O3 Observation operators. Martin Keller, U Toronto; Yi Wang, U-Iowa;  Yanko Davila, CU Boulder.
* (v35j) MODIS radiance observation operators,  Xiaoguang Xu and Jun Wang, U-Iowa.
* (v35) HTAP Emissions Inventory.  Kateryna Lapina, Daven Henze and Yanko Davila, CU Boulder.
* (v35) NEI2008 Emissions Inventory.  Katie Travis; Fabien Paulot, Harvard; Hyungmin Lee, and Daven Henze, CU Boulder.
* (v35) Deposition based cost function.  Fabien Paulot, Harvard; Daven Henze and Yanko Davila, CU Boulder.
* (v34) Implementation of the sensitivity to reaction rate constants. Developers: Hyungmin Lee, CU Boulder; Thomas ; Fabien Paulot (Harvard); Daven Henze, CU Boulder and Yanko Davila, CU Boulder.
* (v34) ISOROPIA II adjoint. Developer: Shannon Capps, EPA.
* (v34) Off-diagonal covariance error matrices implementation. Developers: Nicolas Bousserez, CU Boulder; Kumaresh; Yanko Davila, CU Boulder.
* (v32) Nested full chemistry adjoint. Developers: Zhe Jiang, University of Toronto; Daven Henze, CU Boulder.
Citation of the appropriate [[GEOS-Chem_Adjoint#Journal_Articles|journal articles]] for mature developments is also encouraged, as well as considering aspects of [https://geos-chem.seas.harvard.edu/geos-chem-narrative co-authorship for the forward model].
Overall, if you have any questions about authorship, even for a conference presentation, please contact Daven Henze.
<!--
== Current GEOS-Chem Adjoint Research Projects (please add yours!) ==
== Current GEOS-Chem Adjoint Research Projects (please add yours!) ==
{| border=1 cellspacing=0 cellpadding=5
{| border=1 cellspacing=0 cellpadding=5
|- bgcolor="#cccccc"
|- bgcolor="#cccccc"
Line 121: Line 283:
!Description
!Description
!Contact Person
!Contact Person
|-
|-
|Anyang University
|Aerosol emission modeling in East Asia
|[mailto:koo@anyang.ac.kr Youn Seo Koo]
|-
|-
|Carnegie Mellon University
|Carbon Flux Inverse Modeling
|[mailto:mcstanle@andrew.cmu.edu Mike Stanley]
|-
|-
|Columbia University
|Long-Range Transport of Arctic Aerosols
|[mailto:ses2271@columbia.edu Sarah Smith]
|-
|-
|CRAES
|source attribution of PM in eastern China
|[mailto:weipeng@craes.org.cn Wei Peng]
|-
|-
|-
|CU Boulder
|CU Boulder
|Aerosol precursors, CO2, O3; general adjoint code maintenance
|Aerosol precursors, CO2, O3; general adjoint code maintenance
|[mailto:daven.henze@colorado.edu Daven Henze]
|[mailto:daven.henze@colorado.edu Daven Henze]
|-
|CU Boulder
|Inverse modeling/optimization: variational source inversions, posterior error estimates in high-dimension; general adjoint code maintenance
|[mailto:daven.henze@colorado.edu Nicolas Bousserez]
|-
|CU Boulder
|Constraints on Aerosol Sources
|[mailto:zhen.qu@colorado.edu Zhen Qu]
|-
|CU Boulder
|Source Receptor Relationships in Air Quality
|[mailto:muhammad.nawaz@colorado.edu Omar Nawaz]
|-
|-
|Dalhousie University
|Mass balance vs adjoint approaches for top-down constraints on NOx emissions
|Matthew Cooper
|-
|Dalhousie University
|Trends in OC and BC emissions over the US
|Nathaniel Egan-Pimblett
|-
|Dalhousie University
|Sensitivity of global PM2.5-induced mortality to emissions
|[mailto:colin.lee@dal.ca Colin Lee]
|-
|Dalhousie University
|Top-down constraints on NH3 emissions
|[mailto:chi.li@dal.ca Chi Li]
|-
|Dalhousie University
|Global contribution to the black carbon in the Arctic
|[mailto:Junwei.Xu@Dal.Ca Junwei Xu]
|-
|-
|Drexel
|ISORROPIA adjoint development; NH3 assimilation; cloud droplet sensitivities
|[mailto:sc3623@drexel.edu Shannon Capps]
|-
|-
|-
|Harvard
|Harvard
|Methane
|Methane
|[mailto:wecht@fas.harvard.edu Kevin Wecht]
|[mailto:maasakkers@seas.harvard.edu Bram Maasakkers], [mailto:mpayer@seas.harvard.edu Melissa Sulprizio]
|-
|Harvard
|Harvard Emissions Component (HEMCO)
|[mailto:ckeller@seas.harvard.edu Christoph Keller]
|-
|Harvard
|VOC emissions in N.A. constrained by satellite HCHO
|[mailto:jkaiser@seas.harvard.edu Jennifer Kaiser]
|-
|Harvard
|Tradeoffs between air quality and economic outcomes
|[mailto:seastham@fas.harvard.edu Sebastian D Eastham]
|-
 
|-
| JAMSTEC
|Multiple-constituent satellite data assimilation
|[mailto:kmiyazaki@jamstec.go.jp Kazuyuki Miyazaki]
|-
 
|-
|JPL
|3D-var Microwave Limb Sounder (MLS) and Tropospheric Emission Spectrometer (TES) ozone assimilation
|[mailto:meemong.lee@jpl.nasa.gov Meemong Lee]
|-
|JPL
| TES ozone assimilation/attribution of GHG radiative forcing
|[mailto:kevin.bowman@jpl.nasa.gov Kevin Bowman]
|-
|JPL
| Carbon Monitoring System Flux (CMS-Flux) 4D-var and LETKF assimilation
|[mailto:kevin.bowman@jpl.nasa.gov Kevin Bowman]
|-
|JPL
| Adjoint sensitivity analysis for satellite constellation design
|[mailto:kevin.bowman@jpl.nasa.gov Kevin Bowman]
|-
 
|-
|MIT
|UCX Adjoint Development, Sensitivities to stratospheric-oriented objective functions, Source Receptor Relationships in Air Quality
|[mailto:fritzt@mit.edu Thibaud Fritz]
|-
|-
|-
|MIT
|MIT
|Aircraft emissions
|Air quality, aircraft emissions and sensitivities
|[mailto:jaminkoo@mit.edu Jamin Koo]
|[mailto:kingshuk@mit.edu Kingshuk Dasadhikari]
|-
|MIT
|Air quality, aircraft emissions and sensitivities
|[mailto:dedoussi@mit.edu Irene Dedoussi]
|-
 
|-
|Nanjing University
|Inverse modeling of terrestrial ecosystem carbon flux
|[mailto:hengmao.wang@gmail.com Hengmao Wang]
|-
|-
|Nazarbayev University
|Emissions influences on NO_2 columns
|[mailto:mehdi.torkmahalleh@nu.edu.kz Mehdi Torkmahalleh]
 
|-
|NCAR
|Adjoint analysis for carbon monoxide and ozone
|[mailto:zhejiang@ucar.edu Zhe Jiang]
|-
 
|-
|Peking University
|Satellite constraints on VOC emissions
|[mailto:tmfu@pku.edu.cn May Fu]
|-
|Peking University
|Source attributions of tropospheric ozone over North China
|[mailto:linjt@pku.edu.cn Jintai Lin]
|-
|Peking University
|Satellite Health impact analysis of China interregional pollution trade
|[mailto:1300011409@pku.edu.cn Liu Yang]
|-
|Peking University
|Emissions and chemistry of VOCs in China.
|[mailto:qische@gmail.com Qi Chen]
|-
 
|-
|Purdue University
|Feedback between terrestrial ecosystem processes and atmospheric CO2 signals
|[mailto:zhuq@purdue.edu Qing Zhu]
|-
|Purdue University
|Feedback between aquatic ecosystem processes and atmospheric CH4 signals
|[mailto:tan80@purdue.edu Zeli Tan]
|-
 
|-
|Seoul National University
|VOC emission constraints over Korea using OMI satellite retrieval and DC-8 flight measurements from KORUS-AQ
|[mailto:hyungmin.lee@snu.ac.kr Hyung-Min Lee]
|-
|-
|Princeton
|Seoul National University
|BC sensitivities, general adjoint code development
|Emissions and chemistry of aerosols in East Asia
|Monika Kopacz, mkopacz [at] princeton.edu
|[mailto:ss99@snu.ac.kr Jaein Jeong]
|-
|-
|Dalhousie University
 
|Lightning NOx emissions and impact on tropical ozone using the adjoint
|-
|[mailto:N.Bousserez@dal.ca Nicolas Bousserez]
|Tsinghua University
|Inverse modeling of anthropogenic emissions over East Asia
|[mailto:qiangzhang@tsinghua.edu.cn Qiang Zhang]
|-
|Tsinghua University
|Nested-gird simulations with the adjoint model
|[mailto:nany12@mails.tsinghua.edu.cn Nan Yang]
|-
 
|-
|UCLA
|Constrain black carbon emission
|[mailto:qiling@atmos.ucla.edu Ling Qi]
|-
|UCLA
|source attribution of ozone in the western U.S.
|[mailto:gaomei@atmos.ucla.edu Mei Gao]
|-
 
|-
|University of Edinburgh
|Ozone sensitivity in biomass burning plumes
|[mailto:d.finch@ed.ac.uk Douglas Finch]
|-
 
|-
| University of Florida
|Nitrogen deposition related to climate strategy projections with GCAM
|[mailto:cbaublitz@ufl.edu Colleen Baublitz], [mailto:barronh@ufl.edu Barron H. Henderson]
|-
 
|-
| University of Iowa
|Multiple-sensor (MODIS, MISR, OMI, etc.) constraints of aerosol emissions and application for AQ forecast; OSSE for future satellite missions
|[mailto:jun-wang-1@uiowa.edu Jun Wang], [mailto:yi-wang-4@uiowa.edu Yi Wang]
|-
 
|-
|University of Minnesota
|Inverse modeling of VOC sources based on TES and IASI measurements
||[mailto:kcw@umn.edu Kelley Wells], [mailto:dbm@umn.edu Dylan Millet]
|-
|University of Minnesota & CU Boulder
|Inverse modeling of N2O sources
|[mailto:dbm@umn.edu Dylan Millet], [mailto:Daven.Henze@Colorado.EDU Daven Henze]
|-
 
|-
|University of Toronto
|Methane inverse modeling
|[mailto:stanevich@atmosp.physics.utoronto.ca Ilya Stanevich]
|-
|University of Toronto
|Sensitivity of ozone and CO to precursor emissions
|[mailto:cwhaley@atmosp.physics.utoronto.ca Cynthia Whaley]
|-
|University of Toronto
|Data assimilation of atmospheric CO and CO2
|[mailto:tailong.he@mail.utoronto.ca Tailong He]
|-
 
|-
|University of Wisconsin
|CO2 assimilation and forecast & Temperature profile retrieval
|[mailto:wenguang.bai@ssec.wisc.edu Wenguang Bai]
|-
 
|-
|University of Wollongong
|Sensitivity of ozone and adjoint analysis of CO over Australasia.
|[mailto:rb864@uowmail.edu.au Rebecca Buchholz]
|-
 
 
|-
|USTC
|assimilation & sensitivies of CO2
|[mailto:tuang372@gmail.com Li Tuang]
|-
 
|-
|Georgia Institute of Technology
|NH3 emissions
|[mailto:chenylis10@gmail.com Yilin Chen]
|-
 
|-
|Institute of Atmospheric Physics, Chinese Academy of Sciences
|Data assimilation of atmospheric CO2
|[mailto:changwy@mail.iap.ac.cn Wenyuan Chang]
|-
|-
|}


== Get Involved ==
|-
Support and development of the GEOS-Chem adjoint has clearly become a broad undertaking. In attempt to focus such developments, we've created a GC-adjoint mailing list. If you wish to become involved, you should add yourself to this list by sending an email to [mailto:geos-chem-adjoint-requests@seas.harvard.edu geos-chem-adjoint-requests@seas.harvard.edu] with the word subscribe in the subject or body, or you may click here for browser sign-up: https://lists.seas.harvard.edu/mailman/listinfo/geos-chem-adjoint).
|Institute of Atmospheric Physics, Chinese Academy of Sciences
|Adjoint analysis for CO2 and air pollutants
|[mailto:fuyu1109@gmail.com Yu Fu]
|-


Kevin Bowman organizes bimonthly conference calls concerning current adjoint model activities.
|}
-->


== GCHP adjoint ==
As of GEOS-Chem v13.1.0, the GCHP model has included the adjoint modeling framework.  Currently this supports the offline CO2 simulation.  The simulation so far only treats the adjoint of advection. The simulation capabilities include sensitivities with respect to initial conditions and emissions, and a global finite difference testing framework for the initial condition sensitivities.  More about using GCHP adjoint can be found in the user guide [[https://drive.google.com/drive/folders/16-H9nncHMwXirjatMhLGL1WNqwF05_S-?usp=sharing here]].


== Publications ==
== Publications ==


=== Journal Articles ===
=== Journal Articles ===
* '''2022/submitted/in press'''
**Sokharavuth, P., S. Thiv, C. Nara, C. Him, S. Sokyimeng, D. K. Henze, R Holmes, J. C.I. Kuylenstierna, C. S. Malley, E. Michalopoulou, J. Slater, Air pollution mitigation assessment to inform Cambodia’s first Clean Air Plan, submitted.
**Fritz, T. M., I. C. Dedoussi, S. D. Eastham, R. L. Speth, D. K. Henze, S. R. H. Barrett, Identifying the ozone-neutral aircraft cruise altitude, Atmos. Environ., 276, 1, 119057, https://doi.org/10.1016/j.atmosenv.2022.119057.
**Qu, Z, D. K. Henze, H. M. Worden, Zhe Jiang, B. Gaubert, N. Theys, W. Wang (2022), Sector-based top-down estimates of NOx, SO2, and CO emissions in East Asia, Geophys. Res. Let., 49, e2021GL096009, https://doi.org/10.1029/2021GL096009.
**Choi, J., D. K. Henze, H. Cao, C. R. Nowlan, G. González Abad, H.-A. Kwon, H.-M. Lee, Y. J. Oak, R. J. Park, K. H. Bates, J. D. Maasakkers, A. Wisthaler, A. J. Weinheimer (2022), An inversion framework for optimizing non-methane VOC emissions using remote sensing and airborne observations in Northeast Asia during the KORUS-AQ field campaign, J. Geophys. Res., 127, e2021JD035844, https://doi.org/10.1029/2021JD035844.
**Cao, H., D. K. Henze, L. Zhu, M. W. Shephard, K. Cady-Pereira, E. Dammers, M. Sitewell, M. Al- varado, C. Lonsdale, J. Bash, K. Miyazaki, C. Flechard, Y. Fauvel, R. W. Kruit, S. Feigenspan, C. Brümmer, F. Schrader, M. M. Twigg, Y. S. Tang, A. C. M. Stephens, K. Vincent, M. Meier, E. Seitler, C. Geels, T. Ellermann, S. L. Capps (2022), 4D-Var inversion of European NH3 emissions using CrIS NH3 measurements and GEOS-Chem adjoint with bi-directional and uni-directional flux schemes, J. Geo- phys. Res., 127, e2021JD035687, https://doi.org/10.1029/2021JD035687.
* '''2021'''
**Nawaz, M. O., D. K. Henze, C. Harkins, H. Cao, B. Nault, D. Jo, J. Jimenez, S.C. Anenberg, D.L. Goldberg, Z. Qu (2021), Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington DC, Elementa, 9 (1),, 00043, https://doi.org/10.1525/elementa.2021.00043.
**Yu, X., D. B. Millet, and D. K. Henze (2021), How well can inverse analyses of high-resolution satellite data resolve heterogenous methane fluxes? Geosci. Model Dev., 14, 7775–7793, https://doi.org/10.5194/ gmd-14-7775-2021.
**Malley, C. S., W. K. Hicks, J. C. I. Kulyenstierna, E. Michalopoulou, A. Molotoks, J. Slater, C. G Heaps, S. Ulloa, J. Veysey, D. T. Shindell, D. K. Henze, O. Nawaz, S. C. Anenberg, B. Mantlana, T. P. Robinson (2021), Integrated assessment of global climate, air pollution, and dietary, malnutrition and obesity health impacts of food production and consumption between 2014 and 2018, Environ. Res. Commun., 3, 075001, https://doi.org/10.1088/2515-7620/ac0af9.
**Stanevich, I., D. B. A. Jones, K. Strong, M. Keller, D. K. Henze, R. J. Parker, H. Boesch, D. Wunch, J. Notholt, C. Petri, T. Warneke, R. Sussmann, M. Schneider, F. Hase, R. Kivi, N. M. Deutscher, V. A. Ve- lazco, K. A. Walker, F. Deng, Characterizing model errors in chemical transport modelling of methane: Using GOSAT XCH4 data with weak constraint four-dimensional variational data assimilation, Atmos. Chem. Phys., 21, 9545–9572, https://doi.org/10.5194/acp-21-9545-2021.
**Yu, X., D. B. Millet, K. C. Wells, D. K. Henze, H. Cao, T. J. Griffis, E. A. Kort, G. Plant, M. J. Deventer, R. K. Kolka, D. T. Roman, K. J. Davis, A. R. Desai, B. C. Baier, K. McKain, A. C. Czarnetzki, A. A. Bloom (2021), Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions, Atmos. Chem. Phys., 21, 951–971, https://doi.org/10.5194/acp-21-951-2021.
**Qu, Z., D. Wu, D. K. Henze, Y. Li, M. Sonenberg, F. Mao (2021), Transboundary transport of ozone pollution to a US border region: a case study of Yuma, Environ. Pollut., 273, 116421, https://doi.org/10.1016/j.env pol.2020.116421.
**Wang, X., T.-M. Fu, L. Zhang, H. Cao, Q. Zhang, H. Ma, L. Shen, M. Evans, P. Ivatt, X. Lu, Y. Chen, X. Yang, L. Zhu, D. K. Henze (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modeling, Environ. Sci. Technol., 55, 9, 5752?5762, https://doi.org/10.1021/acs.est.1c00131.
**Chen, Z., J. Liu, D. K. Henze, D. N. Huntzinger, K. C. Wells, S. Sitch, P. Friedlingstein, E. Joet- zjer, V. Bastrikov, D. S. Goll, V. Haverd, A. K. Jain, E. Kato, S. Lienert, D. L. Lombardozzi, P.C. McGuire, J. R. Melton, J. E. M. S. Nabel, B. Poulter, H. Tian, A. J. Wiltshire, S. Zaehle, S. M. Miller (2021), Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Car- bon Observatory 2 satellite and terrestrial biospheric models, Atmos. Chem. Phys., 21, 6663–6680, https://doi.org/10.5194/acp-21-6663-2021.
* '''2020'''
**Qu, Z, D. K. Henze, O. R. Cooper, and J. L. Neu, Impacts of global NOx inversions on NO2 and ozone simulations, Atmos. Chem. Phys., 20, 13109–13130, https://doi.org/10.5194/acp-20-13109-2020.
**Cao, H., D. K. Henze, M. W. Shephard, E. Dammers, K. Cady-Pereira, M. Alvarado, C. Lonsdale, G. Luo, F. Yu, L. Zhu, C. G. Danielson, E. S. Edgerton, Inverse modeling of NH3 sources using CrIS remote sensing measurements, Environ. Res. Lett., 15, 104082.
**Elguindi, N., C. Granier, T. Stavrakou, S. Darras, M. Bauwens, H. Cao, C. Chen, H.A.C. Denier van der Gon, O. Dubovik, T. M. Fu, D. K. Henze, Z. Jiang, J. J. P. Kuenen, J. Kurokawa, C. Liousse, K. Miyazaki, J.-F. Müller, Z. Qu, K. Sekou, F. Solmon, B. Zheng, Intercomparison of magnitudes and trends in anthropogenic surface emissions from bottom-up inventories, top-down estimates, and emission scenarios, Earth’s Future, 8 (8), https://doi.org/10.1029/2020EF001520.
**Kuylenstierna, J. C. I., C. G. Heaps, T. Ahmed, H. W. Vallack, W. K. Hicks, M. R. Ashmore, C. S. Malley, G. Wang, E. N. Lefevre, S. C. Anenberg, F. Lacey, D. T. Shindell, U. Bhattacharjee, D. K. Henze, Development of the Low Emissions Analysis Platform – Integrated Benefits Calculator (LEAP-IBC) tool to assess air quality and climate co-benefits: Application for Bangladesh, Environ. Int., 145, 106155, https://doi.org/10.1016/j.envint.2020.106155.
**Mao, Y. H., X. C. Zhao, H. Liao, D. K. Henze, H. Cao, L. Zhang, J. Li, L. Ran, Q. Zhang, J. D. Li, Sources of black carbon during severe haze events in the Beijing-Tianjin-Hebei region using the adjoint method, Sci. Tot. Environ., 740 (20), 140149, https://doi.org/10.1016/j.scitotenv.2020.140149.
**Nawaz, M. O., and D. K. Henze, Premature deaths in Brazil associated with long-term exposure to PM2.5 from Amazon fires between 2016-2019, Geo Health, 4, e2020GH000268, https://doi.org/10.1029 /2020GH000268.
**Wang, Y., J. Wang, X. Xu, D. K. Henze, Z. Qu, Inverse modeling of SO2 and NOx emissions over China using multi-sensor satellite data: 1. formulation and sensitivity analysis, Atmos. Chem. Phys., 20, 6631–6650, https://doi.org/10.5194/acp-20-6631-2020.
* '''2019'''
**Chen, C., O. Dubovik, D. K. Henze, M. Chin, T. Lapyonak, G. L. Schuster, F. Ducos, D. Fuertes, P. Litvinov, L. Li, A. Lopatin, Q. Hu, B. Torres (2019), Constraining global aerosol emissions using POLDER/ PARASOL satellite remote sensing observations, Atmos. Chem. Phys., 19, 14585–14606, https://doi.org/10.5194/acp-19-14585-2019.
**Zhao, H., Q. Zhang, S. J. Davis, X. Li, Y. Liu, G. Geng, M. Li, B. Zheng, H. Huo, L. Zhang, D. K. Henze, K. He (2019), Inequality of household consumption and air pollution deaths in China, Nature Com., 10, 10, 4337, https://doi.org/10.1038/s41467-019-12254-x.
**Philip, S., M. S. Johnson, C. Potter, V. Genovesse, D. F. Baker, K. D. Haynes, D. K. Henze, J. Liu, B. Poulter (2019), Prior biosphere model impact on global terrestrial CO2 fluxes estimated, Atmos. Chem. Phys., 19, 13267–13287, https://doi.org/10.5194/acp-19-13267-2019.
**Yi, K., J. Meng, H. Yang, C. He, D. K. Henze, J. Liu, D. Guan, Z. Liu, L. Zhang, X. Zhu, Y. Cheng, S. Tao (2019), The cascade of global trade to large climate forcing over the Tibetan Plateau glaciers, Nature Com., 10, 3281, https://doi.org/10.1038/s41467-019-10876-9.
**Zhang, X., D. B. A. Jones, M. Keller, T. W. Walker, Z. Jiang, D. K. Henze, H. M. Worden, A. E. Bourassa, D.A. Degenstein, Y. J. Rochon, S. Wofsy (2019), Quantifying emissions of CO and NOx using observations from MOPITT, OMI, TES, and OSIRIS, J. Geophys. Res., 124, 1170–1193, https://doi.org/10.1029/2018JD028670.
**Qu, Z., D. K. Henze, N. Theys, J. Wang, W. Wang (2019), Hybrid mass balance / 4D-Var joint inversion of NOx and SO2 emissions in East Asia, J. Geophys. Res., 124, 8203–8224, https://doi.org/10.1029/2018JD030240.
**Qu, Z., D. K. Henze, C. Li, N. Theys, Y. Wang, J. Wang, W. Wang, J. Han, C. Shim, R. R. Dickerson, X. Ren (2019), SO2 emissions estimated using OMI SO2 retrievals (2005-2017), J. Geophys. Res., 124, 8336–8359, https://doi.org/10.1029/2019JD030243.
**Li, C., R. V. Martin, M. W. Shephard, M. J. Cooper, J. Kaiser, C. J. Lee, L. Zhang, D. K. Henze (2019), Assessing the iterative finite difference mass balance and 4D-Var methods to retrieve ammonia emissions over North America using synthetic Cross-track Infrared Sounder Observations, J. Geophys. Res., 124, 4222–4236. https://doi.org/10.1029/2018JD030183.
**Choi, J., R. J. Park, H.-M. Lee, S. Lee, D. S. Jo, J. I. Jeong, D. K. Henze, J.-H. Woo, S.-J. Ban, M.-D. Lee, C.-S. Lim, M.-K. Park, H. J. Shin, S. Cho, D. Peterson, C.-K. Song (2019), Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign, Atmos. Environ., 203, 196–205, https://doi.org/10.1016/j.atmosenv.2019.02.008.
* '''2018'''
**Jiang, Z., B. C. McDonald, H. Worden, J. R. Worden, K. Miyazaki, Z. Qu, D. K. Henze, D. B. A. Jones, A. F. Arellano, E. V. Fischer, L. Zhu, K. F. Boersma (2018), Unexpected slowdown of US pollutant emission reduction in the past decade, Proc. Nat. Acad. Soc., 115(20), 5099--5104, doi:10.1073/pnas.1801191115.
**Chen, C., O. Dubovik, D. K. Henze, T. Lapyonak, M. Chin, F. Ducos, P. Litvinov, X. Huang, L. Li (2018), Retrieval of desert dust and carbonaceous aerosol emissions over Africa from PARASOL/GRASP observations, Atmos. Chem. Phys., 18, 12551-12580, https://doi.org/10.5194/acp-18-12551-2018.
**Cao, H., T.-M. Fu, L. Zhang, D. K. Henze, C. Chan Miller, C. Lerot, G. González Abad, I. De Smedt, Q. Zhang, M. van Roozendael, K. Chance, J. Li, J. Y. Zheng, Y. H. Zhao (2018), Adjoint inversion of Chinese non-methane volatile organic compound emissions using space-based observations of formaldehyde and glyoxal, Atmos. Chem. Phys., 18, 15017-15046, https://doi.org/10.5194/acp-18-15017-2018.
**Wells, K. C., D. B. Millet, N. Bousserez, D. K. Henze, T. J. Griffis, S. Chaliyakunnel, E. J. Dlugokencky, E. Saikawa, G. Xiang, R. G. Prinn, S. O'Doherty, D. Young, R. F. Weiss, G. S. Dutton, J. W. Elkins, P. B. Krummel, R. Langenfelds, L. P. Steele (2018), Top-down constraints on global N2O emissions at optimal resolution: application of a new dimension reduction technique, Atmos. Chem. Phys., 18, 735-756, https://doi.org/10.5194/acp-18-735-2018.
**Zhang, L., Y. Chen, Y. Zhao, Y. D. K. Henze, L. Zhu, Y. Song, F. Paulot, X. Liu, Y. Pan, B. Huang (2018), Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates, Atmos. Chem. Phys., 18, 339-355, https://doi.org/10.5194/acp-18-339-2018.
**Bousserez, N. and D. K. Henze (2018), Optimal and scalable methods to approximate the solutions of large-scale Bayesian problems: Theory and application to atmospheric inversions and data assimilation, Q. J. R. Meteorol. Soc., 144, 365 – 390, https://doi.org/10.1002/qj.3209.


* Kopacz, M., D.J. Jacob, J.A. Fisher, J. A. Logan, L. Zhang, I. A. Megretskaia, R. M. Yantosca, K. Singh, D. K. Henze, J. P. Burrows, M. Buchwitz, I. Khlystova, W. W. McMillan, J. C. Gille, D. P. Edwards, A. Eldering, V. Thouret, and P. Nedelec (2010): Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atmos. Chem. Phys., 10, 855-876. http://www.atmos-chem-phys.net/10/855/2010/acp-10-855-2010.pdf
* '''2017'''
**Xu, J., R. V. Martin, A. Morrow, S. Sharma, L. Huang, W. R. Leaitch, J. Burkart, H. Schulz, M. Zanatta, M. D. Willis, D. K. Henze, C. J. Lee, A. B. Herber, J. P. D. Abbatt (2017), Source attribution of Arctic black carbon constrained by aircraft and surface measurements, Atmos. Chem. Phys., 17, 11971-11989, https://doi.org/10.5194/acp-17-11971-2017.
**Qi, L., Q. Li, D. K. Henze, H.-L. Tseng, and C. He, Sources of springtime surface black carbon in the Arctic: an adjoint analysis for April 2008 (2017), Atmos. Chem. Phys., 17, 9697-9716, https://doi.org/10.5194/acp-17-9697-2017.
**Qu, Z., D. K. Henze, S. L. Capps, Y. Wang, X. Xu, J. Wang (2017), Monthly top-down NOx emissions for China (2005-2012): a hybrid inversion method and trend analysis, J. Geophys. Res., 122, 4600-4625, doi:10.1002/2016JD025852.
**Lee, H.-M., R. J. Park, D. K. Henze, S. Leeb, C. Shim, H.-J. Shine, K.-J. Moone, J.-H. Woo (2017), PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model, Environmental Pollution, 221:377-38.
**Jiang, Z., J. R. Worden, H. Worden, M. Deeter, D. B. A. Jones, A. Arellano, D. K. Henze (2017), A fifteen year record of CO emissions constrained by MOPITT CO observations, Atmos. Chem. Phys., 17, 4565-4583, doi:10.5194/acp-17-4565-2017
**Xu, X., J. Wang, Y. Wang, D. K. Henze, L. Zhang, G. A. Grell, S. McKeen. and B. Wielicki (2017), Sense Size-Dependent Dust Loading and Emission from Space Using Reflected Solar and Infrared Spectral Measurements: An Observation System Simulation Experiment, J. Geophys. Res. Atmos., 122, 8233-8254, doi: 10.1002/2017JD026677.
**Lacey F. G., E. A. Marais, D. K. Henze, C. J. Lee, A. van Donkelaar, R. V. Martin, M. P. Hannigan, C. Wiedinmyer, Improving present day and future estimates of anthropogenic sectoral emissions and the resulting air quality impacts in Africa, Faraday Discuss., 200, 397-412.
**Cui, Y., J. Brioude, W. M. Angevine, J. Peischl, S. A. McKeen, S-W. Kim, J. Neuman, D. K. Henze, N. Bousserez, M. Fischer, S. Jeong, H. Michelsen, R. P. Bambha, Z. Liu, G. W. Santoni, B. Duabe, E. Kort, G. Frost, T. B. Ryerson, S. C. Wofsy, M. Trainer (2017). Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The San Joaquin Valley, J. Geophys. Res. Atmos., 122, 3686--3699, doi:10.1002/2016JD026398, online.
**Cooper, M., R. V. Martin, A. Padmanabhan, and D. K. Henze (2017), Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions, J. Geophys. Res. Atmos., 122, 4718-4734, doi:10.1002/2016JD025985 online.


* Kopacz, M., D. J. Jacob, D. K. Henze, C. L. Heald, D. G. Streets, and Q. Zhang (2009), A comparison of analytical and adjoint Bayesian inversion methods for constraining Asian sources of CO using satellite (MOPITT) measurements of CO columns, J. Geophys. Res., doi:0.1029/2007JD009264. http://acmg.seas.harvard.edu/publications/KopaczJGR2009_2007JD009264.pdf


* Henze, D. K., J. H. Seinfeld and D. T. Shindell (2009), Inverse modeling and mapping U.S. air quality influences of inorganic PM2.5 precursor emissions with the adjoint of GEOS-Chem, Atmos. Chem. Phys., 9, 5877-5903.
* '''2016'''
**Wang, Y., J. Wang, X. Xu, D. K. Henze, Y. Wang, Z. Qu (2016), A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: implications for air quality forecasts, Geophys. Res. Lett., 43, 9931–9938.
**Lee, H.-M., F. Paulot, D. K. Henze, K. Travis, D. J. Jacob, L. H. Pardo, B. Schichtel (2016), Sources of nitrogen deposition in Federal Class I areas in the US, Atmos. Chem. Phys, 16, 525-540, doi:10.5194/acp-16-1-2016
**Zhang, L., J. Shao, X. Lu, Y. Zhao, Y. Hu, D. K. Henze, H. Liao, S. Gong, Q. Zhang (2016), Sources and processes affecting fine particulate matter pollution over North China: an adjoint analysis of the Beijing APEC period, Environ. Sci. Technol., 50 (16), 8731-8740, doi:10.1021/acs.est.6b03010
**Bousserez, N., D. K. Henze, B. Rooney, A. Perkins, K. J. Wecht, A. J. Turner, V. Natraj, J. R. Worden, Constraints on methane emissions in North America from future geostationary remote sensing measurements, Atmos. Chem. Phys., 16, 6175-6190, 2016, https://doi.org/10.5194/acp-16-6175-2016
**Tan, Z., Q. Zhuang, D. K. Henze, C. Frankenberg, E. Dlugokencky, C. Sweeney, A. J. Turner, M. Sasakawa, T. Machida, Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models?, Atmos. Chem. Phys., 16, 12649–12666, doi:10.5194/acp-16-12649-2016.


* Zhang, L., D. J. Jacob, M. Kopacz, D. K. Henze, K. Singh, and D. A. Jaffe (2009), Intercontinental source attribution of ozone pollution at western U.S. sites using an adjoint method, Geophys. Res. Lett., 36, L11810, doi:10.1029/2009GL037950
* '''2015'''
**Zhang, L., L. Licheng, Y. Zhao, S. Gong, X. Zhang, D. K. Henze, S. L. Capps, T.-M. Fu, Q. Zhang, Source attribution of particulate matter pollution over North China with the adjoint method, Environ. Res. Lett. 10 084011.
**Zhao, Y. H., L. Zhang, Y. P. Pan, Y. S. Wang, F. Paulot, and D. K. Henze, Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution, submitted.
**Lapina, K., D. K. Henze, J. B. Milford, C. Cuvelier, and M. Seltzer, Implications of RCP Scenarios for future changes in vegetative exposure to ozone in the Western U.S., Geophys. Res. Let., Atmos. Chem. Phys., 15, 10905-10924, 2015, https://doi.org/10.5194/acp-15-10905-2015
**Whaley, C. H., K. Strong, D. B. A. Jones, T. W. Walker, Z. Jiang, D. K. Henze, M. Cooke, C. A. McLinden, M. Pommier, R. L. Mittermeier, P. F. Fogal, Improvements to our understanding of urban ozone air pollution: Sources of Toronto-area ozone during poor air quality events, J. Geophys. Res. Atmos., 120, 11,368–11,390, doi:10.1002/2014JD022984.
**Liu, J., Bowman, K., and Henze, D., Source-receptor relationships of column-average CO2 and implications for the impact of observations on flux inversions., J. Geophys. Res. Atmos., 120,5214–5236, doi:10.1002/2014JD022914
**Turner, A. J. and D. J. Jacob, Balancing aggregation and smoothing errors in inverse models, Atmos. Chem. Phys., 15, 7039-7048, 2015, https://doi.org/10.5194/acp-15-7039-2015
**Turner, A. J., D. J. Jacob, K. J. Wecht, J. D. Maasakkers, S. C. Biraud, H. Boesch, K. W. Bowman, N. M. Deutscher, M. K. Dubey, D. W. T. Griffith, F. Hase, A. Kuze, J. Notholt, H. Ohyama, R. Parker, V. H. Payne, R. Sussmann, V. A. Velazco, T. Warneke, P. O. Wennberg, and D. Wunch, Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data, Atmos. Chem. Phys., 15, 7049-7069, 2015,https://doi.org/10.5194/acp-15-7049-2015
**Zhang, L., D. K. Henze, G. A. Grell, G. R. Carmichael, N. Bousserez, Q. Zhang, J. Cao, O. Torres, C. Ahn, Z. Lu, Y. Mao, Constraining black carbon aerosol over Southeast Asia using OMI aerosol absorption optical depth and the adjoint of GEOS-Chem, Atmos. Chem. Phys., 15, 10281-10308, doi:10.5194/acp-15-10281-2015.
**Patrick S. Kim, Daniel J. Jacob, Loretta J. Mickley, Shannon N. Koplitz, Miriam E. Marlier, Ruth S. DeFries, Samuel S. Myers, Boon Ning Chewf, Yuhao H. Mao, Sensitivity of population smoke exposure to fire locations in Equatorial Asia, doi:10.1016/j.atmosenv.2014.09.045
**Deng, F., D. B. A. Jones, T. W. Walker, M. Keller, K. W. Bowman, D. K. Henze, R. Nassar, E. A. Kort, S. C. Wofsy, K. A. Walker, A. E. Bourassa, and D. A. Degenstein, Sensitivity analysis of the potential impact of discrepancies in stratosphere-troposphere exchange on inferred sources and sinks of CO2, Atmos. Chem. Phys. Discuss., 15, 10813-10851, doi:10.5194/acpd-15-10813-2015.
**Jiang, Z., D. B. A. Jones, J. R. Worden, H. M. Worden, D. K. Henze, Y. X. Wang, Regional data assimilation of multi-spectral MOPITT observations of CO over North America, Atmos. Chem. Phys. Discuss., 15, 5327-5358, doi:10.5194/acpd-15-5327-2015.
**Zhu, L., D. K. Henze, J. Bash, G. Jeong, K. Cady-Pereira, M. Shephard, M. Luo, F. Paulot, and S. Capps, Global evaluation of ammonia bi-directional exchange, Atmos. Chem. Phys. Discuss., 15, 4823-4877, doi:10.5194/acpd-15-4823-2015.
**Jiang, Z., J. R. Worden, D. B. A. Jones, J.-T. Lin, W. Verstraeten, and D. K. Henze, Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT, Atmos. Chem. Phys., 15, 99-112.
**Lee, C.J., R.V. Martin, Henze D.K., Brauer M., Cohen A., and A. van Donkelaar, Sensitivity of global particulate-matter-related mortality to local precursor emissions, Environ. Sci. Technol., 49(7), 4335–4344, doi:10.1021/acs.est.5b00873, 2015.
**Bousserez, N., D. K. Henze, A. Perkins, K. W. Bowman, M.Lee, J.Liu, D.B.A. Jones, F. Deng, Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model. Q.J.R. Meteorol. Soc.. doi: 10.1002/qj.2495


* Henze, D. K., A. Hakami and J. H. Seinfeld (2007), Development of the adjoint of GEOS-Chem, Atmos. Chem. Phys., 7, 2413-2433.
* '''2014'''
**Jiang, Z., D. B. A Jones, H. M. Worden, and D. K. Henze, Sensitivity of inferred regional CO source estimates to the vertical structure in CO as observed by MOPITT, Atmos. Chem. Phys. Discuss., 14, 22939-22984
**Zhu, Q., Q. Zhuang, D. K. Henze, K. Bowman, M. Chen, Y. Liu, Y. He, H. Matsueda, T. Machida, and Y. Sawa, Constraining terrestrial ecosystem CO2 fluxes by integrating models of biogeochemistry and atmospheric transport and data of surface carbon fluxes and atmospheric CO2 concentrations, Atmos. Chem. Phys. Discuss., 14, 22587-22638
**Mao, Y. H., Q. B. Li, D. K. Henze, Z. Jiang, D. B. A. Jones, M. Kopacz, C. He, L. Qi, M. Gao, W.-M. Hao, and K.-N. Liou, Variational estimates of black carbon emissions in the western United States, Atmos. Chem. Phys. Discuss., 14, 21865-21916
**Liu, J., Bowman, K., Lee, M., Henze, D., Bousserez, N., Brix, H., Collatz, G., Menemenlis, D., Ott, L., Pawson, S., Jones, D., Nassar, R.. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks. Tellus B, North America, 66, may. 2014. Available at: http://www.tellusb.net/index.php/tellusb/article/view/22486
** Lee, H., D. K. Henze, B. Alexander, and L. T., Murray, Investigating the sensitivity of surface-level nitrate seasonality in Antarctica to primary sources using a global model, Atmos. Environ., 89, 757--767, doi:0.1016/j.atmosenv.2014.03.003
**Paulot, F., D. J. Jacob, R. W. Pinder, J. O. Bash, K. Travis, D. K. Henze, Ammonia emissions in the United States, Europe, and China derived by high-resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3), J. Geophys. Res., 119, 7, 4343--4364, doi:10.1002/2013JD021130.
**Lapina, K., D. K. Henze, J. B. Milford, M. Huang, M. Lin, A. M. Fiore, G. Carmichael, G. G. Pfister, and K. W. Bowman, Assessment of source contributions to seasonal vegetative exposure to ozone in the U.S., J. Geophys. Res., 119, 324-340, doi:10.1002/2013JD020905
**Shen, Z., J. Liu, L. W. Horowitz, D. K. Henze, S. Fan, H. Levy II, D. L. Mauzerall, J. Lin, and S. Tao,.: Analysis of transpacific transport of black carbon during HIPPO-3: implications for black carbon aging, Atmos. Chem. Phys. Discuss., 14, 505-540, doi:10.5194/acpd-14-505-2014
**Wells, K. C., D. B. Millet, K. E. Cady-Pereira, M. W. Shephard, D. K. Henze, N. Bousserez, E. C. Apel, J. de Gouw, C. Warneke, H. B. Singh, Quantifying global terrestrial methanol emissions using observations from the TES satellite sensor, Atmos. Chem. Phys., 14, 2555-2570


* '''2013'''
**Walker, T. W., D. B. A. Jones, D. K. Henze, Z. Jiang, M. Parrington, F. Paulot, and Y. Rochon, Adjoint sensitivity analysis of North American surface ozone concentrations: Implications for dry deposition, American Geophysical Union, Fall Meeting 2013, abstract id. A33L-03.
**Deng, F., D. B. A. Jones, D. K. Henze, N. Bousserez, K. W. Bowman, J. B. Fisher, R. Nassar, C. O'Dell, D. Wunch, P. O. Wennberg, E. A. Kort, S. C. Wofsy, T. Blumenstock, N. M. Deutscher, D. Griffith, F. Hase, P. Heikkinen, V. Sherlock, K. Strong, R. Sussmann, and T. Warneke, Inferring regional sources and sinks of atmospheric CO2 from GOSAT XCO2 data, Atmos. Chem. Phys. Discuss., 13, 26327-26388
**Meland, B., X. Xu, D. K. Henze, J. Wang, Assessing remote polarimetric measurements sensitivities to aerosol emissions using the GEOS-Chem adjoint model, Atmos. Meas. Tech. Discuss., 6, 5447-5493, doi:10.5194/amtd-6-5447-2013
**Xu, X., J. Wang, D. K. Henze, W. Qu, M. Kopacz (2013), Constraints on Aerosol Sources Using GEOS-Chem Adjoint and MODIS Radiances, and Evaluation with Multi-sensor (OMI, MISR) data,  J. Geophys. Res., 118, doi:10.1002/jgrd.50515.
**Paulot, F., D. J. Jacob and D. K. Henze, Sources and processes contributing to nitrogen deposition in biodiversity hotspots worldwide, Environ. Sci. Technol, 47, 3226-3233, doi:10.1021/es3027727.
**Koo, J., Q. Wang, D. K. Henze, I. A. Waitz, S.R.H. Barrett, Spatial sensitivities of human health risk to intercontinental and high-altitude pollution, Atmos. Environ., 71, 140-147.
**Kharol, S., R. V. Martin, S. Philip, S. Vogel, D. K. Henze, D. Chen, Y. Wang, Q. Zhang, C. L. Heald, Persistent Sensitivity of Asian Aerosol to Emissions of Nitrogen Oxides, Geophys. Res. Lett., 40, 1021-1026, doi:10.1002/grl.50234.
**Jiang, Z., D. B. A. Jones, H. M. Worden, M. N. Deeter, D. K. Henze, J. Worden, and K. W. Bowman, Quantifying the impact of model biases in convective transport on inferred CO source estimates using multi-spectral CO retrievals from MOPITT, J. Geophys. Res.,118, doi:10.1029/jgrd.50216
**L. Zhu, D. K. Henze, K. E. Cady-Pereira, M. W. Shephard, M. Luo, R. W. Pinder, J. O. Bash, G. Jeong, Constraining U.S. ammonia emissions using TES remote sensing observations and the GEOS-Chem adjoint model,  J. Geophys. Res., 118, doi:10.1002/jgrd.50166
**Koo, J., Q. Wang, D. K. Henze, I. A. Waitz, S.R.H. Barrett, Spatial sensitivities of human health risk to intercontinental and high-altitude pollution, Atmos. Environ., 71, 140-147
* '''2012'''
**Bowman, K. W., and D. K. Henze, Attribution of direct ozone radiative forcing to spatially-resolved emissions, Geophys. Res. Lett., 39, L22704, doi:10.1029/2012GL053274.
**Henze, D. K., D. T. Shindell, F. Akhtar, R. J. D. Spurr, R. W. Pinder, D. Loughlin, M. Kopacz, K. Singh, and C. Shim, Spatially refined aerosol direct radiative forcing efficiencies, Environ. Sci. Technol., 46, 9511 - 9518, dx.doi.org/10.1021/es301993s.
**Karydis, V. A., S. L. Capps, R. H. Moore, A. Russell, D. K. Henze, and A. Nenes, Using a global aerosol model adjoint to unravel the footprint of spatially-distributed emissions on cloud droplet number and cloud albedo, Geophys. Res. Lett., 39, L24804, doi:10.1029/2012GL053346.
**Parrington, M., P. I. Palmer, D. K. Henze, D. W. Tarasick, E. J. Hyer, R. C. Owen, C. Clerbaux, K. W. Bowman, M. N. Deeter, E. M. Barratt, P.-F. Coheur, D. Hurtmans, M. George, and J. R. Worden, The influence of boreal biomass burning emissions on the distribution of tropospheric ozone over North America and the North Atlantic during 2010, Atmos. Chem. Phys., 12, 2077-2098.
**Paulot, F., D. K. Henze, and P. O. Wennberg, Impact of the isoprene photochemical cascade on tropical ozone, Atmos. Chem. Phys., 12, 1307-1325.
**Singh, K. and A. Sandu, 2012: Variational chemical data assimilation with approximate adjoints. Computers and Geosciences, 40, 10-18.
**Turner, A., D. K. Henze, R. V. Martin, and A. Hakami, The spatial extent of source influences on modeled column concentrations of short-lived species, Geophys. Res. Lett., 39, L12806, doi:10.1029/2012GL051832.
**Walker, T., D. B. A. Jones, M. Parrington, D. K. Henze, L. T. Murray, J. W. Bottenheim, K. Anlauf, J. R. Worden, K. W. Bowman, C. Shim, K. Singh, M. Kopacz, D. W. Tarasick, J. Davies, P. von der Gathen, and C. C. Carouge, Impacts of midlatitude precursor emissions and local photochemistry on ozone abundances in the Arctic, J. Geophys. Res.,117, D01305 doi:10.1029/2011JD016370.
**Wang, J., X. Xu, D. K. Henze, Q. Ji, S.-C. Tsay (2012), J. Huang, Top-Down Estimate of Dust Emissions through Integration of MODIS and MISR Aerosol Retrievals with the GEOS-Chem adjoint model, Geophys. Res. Lett., 39, L08802.
**Wecht, K. J., D. J. Jacob, S. C. Wofsy, E. A. Kort, J. R. Worden, S. S. Kulawik, D. K. Henze, M. Kopacz, and V. H. Payne, Validation of TES methane with HIPPO aircraft observations: implications for inverse modeling of methane sources, Atmos. Chem. Phys., 12, 1823-1832.
**Singh, K. and A. Sandu (2012). "Variational chemical data assimilation with approximate adjoints." Computers and Geosciences 40: 10-18.
* '''2011'''
**Jiang, Z., D. B. A. Jones, M. Kopacz, J. Liu, D. K. Henze, and C. Heald, Quantifying the impact of model errors on top-down estimates of carbon monoxide emissions using satellite observations, J. Geophys. Res., 116, D15306, doi:10.1029/2010JD015282.
**Jiang, Z., D. B. A. Jones, M. Kopacz, J. Liu, D. K. Henze, and C. Heald (2011), Quantifying the impact of model errors on top-down estimates of carbon monoxide emissions using satellite observations, J. Geophys. Res., 116, D15306, doi:10.1029/2010JD015282.
**Kopacz, M., D. L. Mauzerall, J. Wang, E. M. Leibensperger, D. K. Henze, and K. Singh, Origin and radiative forcing of black carbon transported to the Himalayas and Tibetan Plateau, Atmos. Chem. Phys., 11, 2837-2852.
* '''2010'''
**Kopacz, M., D. J. Jacob, J. A. Fisher, J. A. Logan, L. Zhang, I. A Megretskaia, R. M. Yantosca, K. Singh, D. K. Henze, J. P. Burrows, M. Buchwitz, I. Khlystova, W. W. McMillan, J. C. Gille, D. P. Edwards, A. Eldering, V. Thouret, and P. Nedelec (2010), Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atoms. Chem. Phys., 10, 855-876.
**Kopacz, M., D.J. Jacob, J.A. Fisher, J. A. Logan, L. Zhang, I. A. Megretskaia, R. M. Yantosca, K. Singh, D. K. Henze, J. P. Burrows, M. Buchwitz, I. Khlystova, W. W. McMillan, J. C. Gille, D. P. Edwards, A. Eldering, V. Thouret, and P. Nedelec (2010): Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atmos. Chem. Phys., 10, 855-876. http://www.atmos-chem-phys.net/10/855/2010/acp-10-855-2010.
**Parrington, M., P. I. Palmer,  D. K. Henze, D. W. Tarasick, E. J. Hyer, R. C. Owen, C. Clerbaux, K. W. Bowman, M. N. Deeter, E. M. Barratt, P.-F. Coheur, D. Hurtmans, M. George, and J. R. Worden (2012), The influence of boreal biomass burning emissions on the distribution of tropospheric ozone over North America and the North Atlantic during 2010, Atmos. Chem. Phys., 12, 2077-2098
**Singh, K., Jardak, M., Sandu, A., Bowman, K., Lee, M., and Jones, D. (2010): Construction of non-diagonal background error covariance matrices for global chemical data assimilation, Geosci. Model Dev. Discuss., 3, 1783-1827, doi:10.5194/gmdd-3-1783-2010.  http://www.geosci-model-dev-discuss.net/3/1783/2010/gmdd-3-1783-2010.html
* '''2009'''
**Eller, P., K. Singh, A. Sandu, K. Bowman, D. K. Henze, and M. Lee (2009), Implementation and evaluation of an array of chemical solvers in a global chemical transport model, Geosci. Mod. Devel., 2, 185-207.
**Henze, D. K., J. H. Seinfeld and D. T. Shindell, (2009), Inverse modeling and mapping U.S. air quality influences of inorganic PM2.5 precursor emissions with the adjoint of GEOS-Chem, Atoms. Chem. Phys., 9, 5877-5903.
**Kopacz, M., D. J. Jacob, D. K. Henze, C. L. Heald, D. G. Streets, and Q. Zhang (2009), A comparison of analytical and adjoint Bayesian inversion methods for constraining Asian sources of CO using satellite (MOPITT) measurements of CO columns, J. Geophys. Res., 114, D04305, doi:10.1029/2007JD009264.
**Pye, H. O. T., H. Liao, S. Wu, L. J. Mickely, D. J. Jacob, D. K. Henze, and J. H. Seinfeld (2009), Effect of changes in climate and emissions on future sulfate-nitrate-ammonium aerosol levels in the United States, J. Geophys. Res., 114, D01205, doi:10.1029/2008JD010701.
**Zhang, L., D. J. Jacob, M. Kopacz, D. K. Henze, K. Singh, and D. A. Jaffe (2009), Intercontinental source attribution of ozone pollution at western U.S. sites using an adjoint method, Geophys. Res. Lett., 36, L11810, doi:10.1029/2009GL037950.
* '''2007'''
**Henze, D. K., A. Hakami and J. H. Seinfeld (2007), Development of the adjoint of GEOS-Chem, Atmos. Chem. Phys., 7, 2413-2433.


=== Conference proceedings ===  
=== Conference proceedings ===  
Line 173: Line 723:


* Kopacz, M., Jacob, D.J., Fisher, J.A., Logan, J.A., Zhang, L., Megretskaia, I.A., Yantosca, R.M., Singh, K., Henze, D.K., Burrows, J.P., Buchwitz, M., Khlystova, I., McMillan, W.W., Gille, J.C., Edwards, D.P., Eldering, A., Thouret, V., Nedelec, P. Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), European Geophysical Union meeting, Vienna, May 7, 2010.
* Kopacz, M., Jacob, D.J., Fisher, J.A., Logan, J.A., Zhang, L., Megretskaia, I.A., Yantosca, R.M., Singh, K., Henze, D.K., Burrows, J.P., Buchwitz, M., Khlystova, I., McMillan, W.W., Gille, J.C., Edwards, D.P., Eldering, A., Thouret, V., Nedelec, P. Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), European Geophysical Union meeting, Vienna, May 7, 2010.
* Tang, J., Zhuang, Q. and Xiong, X. (2010), 4D-Var inversion of atmospheric methane fluxes by assimilating SCIAMACHY and AIRS satellite retrievals, AGU, Dec. 18, 2010, http:/web.ics.purdue.edu/~tang16/agu2010_tang.ppt
* Bousserez, N., R. V. Martin, K. W. Bowman, D.K. Henze, M. Kopacz, K. Singh, C. Shim, C. Wespes, Improving the lightning NOx source using satellite observations: a 4D-var analysis approach, AGU, Dec., 2010, http://myweb.dal.ca/nc689777/AGU_liNOx_poster_final.pdf

Latest revision as of 15:52, 24 June 2024

Contact information

Adjoint Model Scientist Daven Henze
GEOS-Chem Adjoint support team
Adjoint Model email list geos-chem-adjoint [at] g.harvard.edu
To subscribe to email list Either
  • Send an email to geos-chem-adjoint+subscribe [at] g.harvard.edu

Or

To unsubscribe from email list Either
  • Send an email to geos-chem-adjoint+unsubscribe [at] g.harvard.edu

Or

Historical Development

Original work on the adjoint of GEOS-Chem v6 began in 2003, focusing on the adjoint of the offline aerosol simulation. By 2005, the adjoint was expanded to include a tagged CO simulation and a full chemistry simulation; an adjoint of GEOS-Chem v7 was also developed in the following years. Each of these branches of the adjoint code were been constructed in a hybrid fashion using a combination of automatic differentiation software (TAMC, KPP) and manual coding of both discrete and continuous adjoints. They shared many common elements yet had unique features for different applications.

During the summer of 2009, the existing branches were merged and updated to bring the adjoint into alignment with the latest release of GEOS-Chem, v8-02-01. This merged adjoint model is now the standard adjoint code into which all further development efforts will be placed.

Forward Model Code

The forward model on which the adjoint is based originally corresponded to GEOS-Chem v8-02-01. It was subsequently updated as follows:

  • KPP solver for gas-phase chemistry (as in GCv8-02-03)
  • Implement Bond 2007 BC/OC emissions (as in GCv8-02-02)
  • Apply bug fixes from GCv8-02-02 listed here
  • Apply bug fixes from GCv8-02-03 listed here
  • Apply bug fixes from GCv8-02-04 listed here

All bug fixes and model updates were previous listed at the top of inverse_driver.f. Since then the code has been kept up to date with bug fixes and some forward model updates in v9 and v10. We have now switched to documenting the code development cycle here in the wiki, see the following section.

Code Versions, Bug Fixes and Developments

User's Guide

Current GEOS-Chem adjoint version released

Previous GEOS-Chem adjoint versions released

Summary of Main Adjoint Code Supported Features

Features

  • Meteorological fields
    • GEOS-3 needs testing
    • GEOS-4
    • GEOS-5
    • GEOS-FP
    • MERRA and MERRA2 in progress
  • model resolution
    • 4 x 5
    • 2 x 2.5
    • 0.5 x 0.666
    • 0.25 x 0.3125
    • Nested China and North America
    • Small Domain China and North America
  • Forward model processes
    • convection
    • advection
    • PBL mixing
    • dry deposition
    • wet deposition
    • strat / trop exchange with LINOZ and new GMI strat chem (v9-01-03)
    • NOy up fluxes (now replaced with new GMI strat chem)
    • aerosols
      • inorganic aerosol thermodynamics with RPMARES
      • inorganic aerosol thermodynamics with ISORROPIA in progress
      • sulfate chemistry
      • BC
      • SOA, Dust, sea salt needs doing
      • aerosol surface area feedbacks needs updating
      • aerosol optical feedbacks needs doing
    • emissions
      • all standard emissions included
  • Simulation modes
    • full chemistry
    • tagged CO
    • tagged Ox
    • CH4
    • offline aerosols (for BC and dust only)
    • CO2
  • Observational Operators
    • MOPITT CO column
    • SCIAMACHY CO column
    • AIRS CO column
    • IMPROVE BC
    • CASTNet (NH4+) needs updating
    • GOME / SCIAMACHY NO2 column needs updating
      • using KNMI retrieval (Henze)
      • using Dalhousie retrieval (Shim)
    • SCIAMACHY/OMI NO2
      • using Dalhousie retrieval (Bousserez, Padmanabhan)
    • TES NH3
    • TES O3
    • GOSAT CO2
    • MLS O3 and TES CO2 in progress
  • Control parameters
    • Initial Conditions scaling factors (linear or log)
    • Emissions scaling factors (linear or log)
      • NH3, primary BC/OC, SO2: anthropogenic, natural, bioburn, biomass, ship
      • NOx: soil, aircraft, anthropogenic, biofuel, bioburn
      • Lightning NOx: injection height, yield in progress
      • all other gas-phase tracers: anthropogenic, biofuel, bioburn
  • Adjoint sensitivities
    • w.r.t. all implemented control parameters
    • w.r.t Reaction Rate Parameters
    • w.r.t all emissions
    • of AQ attainment metrics needs updating
    • of spatiotemporally averaged species concentrations (e.g., arctic O3)
  • Other
    • Inverse Hessian approximation
    • off-diagonal covariance matrices needs updating
    • 3D-Var needs updating

Features may be qualified as:

  • needs testing: an implemented feature that we haven't fully used yet
  • needs updating: a feature developed with a previous branch that has yet to be updated to GEOS-Chem v8 and the merged adjoint
  • needs doing: a feature nobody has tackled the adjoint of yet
  • in progress: a feature currently under development
  • in pipeline: a feature which has been submitted and awaiting integration into the CVS repository

Primary code developers

Monika Kopacz, Kumaresh Singh, Changsub Shim, Daven Henze

Adjoint model lead scientist

Daven Henze


Resources

User's guide

A User's Guide v36 is available. User's Guide v36

Manuals for previous versions are available here

Quick Introduction to GitLab is available at GitLab Tutorial

The forward version of the code is based on v9-02 here is the User's Guide

Code flowchart

Meemong Lee has created a detailed flowchart of the inverse model code structure. flowchart.pdf

Plotting tools

Some IDL and MATLAB routines for plotting benchmark results. tools.tar.gz

Background papers and presentations

Several articles and presentations (including a GC adjoint modeling clinic overview from IGC5) providing background information about adjoints. adj_articles.tar.gz

Distribution and Use

Code for the adjoint is distributed through GITLAB, a web interface connected to a GIT server located at adjoint.colorado.edu. You can access GITLAB at https://adjoint.colorado.edu:8080 after your account is created. Here is our Quick Start Guide.

Even if your office mate has a copy of the code, the best way to obtain the model is to get an account for yourself and download a version from the repository. So please do not copy code directly from others or pass the code along to third parties. This vastly helps with tracking developments and keeping up with model updates.

Use of the adjoint model code follows standard practice for GEOS-Chem. It is expected that any developments that come of individual applications based on this community model will eventually be given back to the community by incorporation of new developments into the standard adjoint code. New development should be submitted to Daven Henze for inclusion in the standard adjoint model code.

Using GIT gives the users the ability to change the code and commit their changes without affecting the main repository hosted at adjoint.colorado.edu. Users can work with their modified versions of the code and even create their own tags because GIT acts as a local repository. When ready to submit your update to the community just create a new branch with your modifications. Send an email Daven Henze explaining your contributions and we'll do our best to include them as soon as possible.

Quick guide to GIT

As of version 34 we started using git versioning system and the GitLab web interface. We prepared GitLab Tutorial to help users get used to the web interface and git. We recommend first taking a look at GIT manual to get a general feel for how this tools works (e.g., GIT Documentation or GIT Manual Page).


Useful GIT commands:

Initial download: 

git clone ssh://git@adjoint.colorado.edu/yanko.davila/gcadj_std.git

Status of project vs the current repository: 

git status

Check difference of files (differences have colors for easy reading) 

git diff --color <wildcard> [<wildcard>] <path>/foo_mod.f

Checkout specific version 

git checkout <wildcard>

Replacing a file with the newest version from the repository: 

git checkout origin/master -- <path>/foo_mod.f

Merging changes in a file: (Reference) 

git merge -m <wildcard>

Comitting 

git commit -a

Tagging a version 

git tag -a TAGNAME

Deleting a tag 

git tag -d TAGNAME
git push origin :refs/tags/TAGNAME

Saving changes to repository 

git push

Saving tags to repository 

git push --tags

List the history of a file: 

git log -- <path>/foo_mod.f

Add a file to the repository 

git add <file_name>

Delete a file from the repository 

git rm <file_name>

Determine current version 

git show HEAD [ | grep commit]

Download remote changes, rewind your local branch, then replays all your changes over the top of your current branch one by one, until you’re all up to date. 

git pull --rebase

There are several wildcards that you can use on git for example:
"origin/master" - Latest version on the repository
"HEAD" - Latest version as of your last download
"v33i" - Specific TAG, find all tag names on GitLab
"32d5c926e" - Specific COMMIT, find all commit numbers on GitLab

Here is the foward model documentation of git.

Backward compatibility (CVS)

For people using old version of the code we still have active our CVS repository, but note that the latest version on CVS is v33i-patch2. Here you can find our Quick Guide to CVS

Crediting GEOS-Chem adjoint developers

We aim to make distribution of adjoint model code as immediate as possible. A consequence is that many features may not yet be publicly documented. Therefore, giving code developers due credit is of utmost importance.

Authors of new additions to the standard code should be offered co-authorship on the first round of presentations and publications to come of their development. Features currently falling in this category and their developers are:

  • (v36) UCX Thibaud Fritz, Irene Dedoussi, MIT, TU Delft
  • (v35j) MOPITT CO Observation operator. Zhe Jiang; Yanko Davila, CU Boulder.
  • (v35j) OMI SO2, OMI NO2 and TES O3 Observation operators. Martin Keller, U Toronto; Yi Wang, U-Iowa; Yanko Davila, CU Boulder.
  • (v35j) MODIS radiance observation operators, Xiaoguang Xu and Jun Wang, U-Iowa.
  • (v35) HTAP Emissions Inventory. Kateryna Lapina, Daven Henze and Yanko Davila, CU Boulder.
  • (v35) NEI2008 Emissions Inventory. Katie Travis; Fabien Paulot, Harvard; Hyungmin Lee, and Daven Henze, CU Boulder.
  • (v35) Deposition based cost function. Fabien Paulot, Harvard; Daven Henze and Yanko Davila, CU Boulder.
  • (v34) Implementation of the sensitivity to reaction rate constants. Developers: Hyungmin Lee, CU Boulder; Thomas ; Fabien Paulot (Harvard); Daven Henze, CU Boulder and Yanko Davila, CU Boulder.
  • (v34) ISOROPIA II adjoint. Developer: Shannon Capps, EPA.
  • (v34) Off-diagonal covariance error matrices implementation. Developers: Nicolas Bousserez, CU Boulder; Kumaresh; Yanko Davila, CU Boulder.
  • (v32) Nested full chemistry adjoint. Developers: Zhe Jiang, University of Toronto; Daven Henze, CU Boulder.


Citation of the appropriate journal articles for mature developments is also encouraged, as well as considering aspects of co-authorship for the forward model.

Overall, if you have any questions about authorship, even for a conference presentation, please contact Daven Henze.


GCHP adjoint

As of GEOS-Chem v13.1.0, the GCHP model has included the adjoint modeling framework. Currently this supports the offline CO2 simulation. The simulation so far only treats the adjoint of advection. The simulation capabilities include sensitivities with respect to initial conditions and emissions, and a global finite difference testing framework for the initial condition sensitivities. More about using GCHP adjoint can be found in the user guide [here].

Publications

Journal Articles

  • 2022/submitted/in press
    • Sokharavuth, P., S. Thiv, C. Nara, C. Him, S. Sokyimeng, D. K. Henze, R Holmes, J. C.I. Kuylenstierna, C. S. Malley, E. Michalopoulou, J. Slater, Air pollution mitigation assessment to inform Cambodia’s first Clean Air Plan, submitted.
    • Fritz, T. M., I. C. Dedoussi, S. D. Eastham, R. L. Speth, D. K. Henze, S. R. H. Barrett, Identifying the ozone-neutral aircraft cruise altitude, Atmos. Environ., 276, 1, 119057, https://doi.org/10.1016/j.atmosenv.2022.119057.
    • Qu, Z, D. K. Henze, H. M. Worden, Zhe Jiang, B. Gaubert, N. Theys, W. Wang (2022), Sector-based top-down estimates of NOx, SO2, and CO emissions in East Asia, Geophys. Res. Let., 49, e2021GL096009, https://doi.org/10.1029/2021GL096009.
    • Choi, J., D. K. Henze, H. Cao, C. R. Nowlan, G. González Abad, H.-A. Kwon, H.-M. Lee, Y. J. Oak, R. J. Park, K. H. Bates, J. D. Maasakkers, A. Wisthaler, A. J. Weinheimer (2022), An inversion framework for optimizing non-methane VOC emissions using remote sensing and airborne observations in Northeast Asia during the KORUS-AQ field campaign, J. Geophys. Res., 127, e2021JD035844, https://doi.org/10.1029/2021JD035844.
    • Cao, H., D. K. Henze, L. Zhu, M. W. Shephard, K. Cady-Pereira, E. Dammers, M. Sitewell, M. Al- varado, C. Lonsdale, J. Bash, K. Miyazaki, C. Flechard, Y. Fauvel, R. W. Kruit, S. Feigenspan, C. Brümmer, F. Schrader, M. M. Twigg, Y. S. Tang, A. C. M. Stephens, K. Vincent, M. Meier, E. Seitler, C. Geels, T. Ellermann, S. L. Capps (2022), 4D-Var inversion of European NH3 emissions using CrIS NH3 measurements and GEOS-Chem adjoint with bi-directional and uni-directional flux schemes, J. Geo- phys. Res., 127, e2021JD035687, https://doi.org/10.1029/2021JD035687.
  • 2021
    • Nawaz, M. O., D. K. Henze, C. Harkins, H. Cao, B. Nault, D. Jo, J. Jimenez, S.C. Anenberg, D.L. Goldberg, Z. Qu (2021), Impacts of sectoral, regional, species, and day-specific emissions on air pollution and public health in Washington DC, Elementa, 9 (1),, 00043, https://doi.org/10.1525/elementa.2021.00043.
    • Yu, X., D. B. Millet, and D. K. Henze (2021), How well can inverse analyses of high-resolution satellite data resolve heterogenous methane fluxes? Geosci. Model Dev., 14, 7775–7793, https://doi.org/10.5194/ gmd-14-7775-2021.
    • Malley, C. S., W. K. Hicks, J. C. I. Kulyenstierna, E. Michalopoulou, A. Molotoks, J. Slater, C. G Heaps, S. Ulloa, J. Veysey, D. T. Shindell, D. K. Henze, O. Nawaz, S. C. Anenberg, B. Mantlana, T. P. Robinson (2021), Integrated assessment of global climate, air pollution, and dietary, malnutrition and obesity health impacts of food production and consumption between 2014 and 2018, Environ. Res. Commun., 3, 075001, https://doi.org/10.1088/2515-7620/ac0af9.
    • Stanevich, I., D. B. A. Jones, K. Strong, M. Keller, D. K. Henze, R. J. Parker, H. Boesch, D. Wunch, J. Notholt, C. Petri, T. Warneke, R. Sussmann, M. Schneider, F. Hase, R. Kivi, N. M. Deutscher, V. A. Ve- lazco, K. A. Walker, F. Deng, Characterizing model errors in chemical transport modelling of methane: Using GOSAT XCH4 data with weak constraint four-dimensional variational data assimilation, Atmos. Chem. Phys., 21, 9545–9572, https://doi.org/10.5194/acp-21-9545-2021.
    • Yu, X., D. B. Millet, K. C. Wells, D. K. Henze, H. Cao, T. J. Griffis, E. A. Kort, G. Plant, M. J. Deventer, R. K. Kolka, D. T. Roman, K. J. Davis, A. R. Desai, B. C. Baier, K. McKain, A. C. Czarnetzki, A. A. Bloom (2021), Aircraft-based inversions quantify the importance of wetlands and livestock for Upper Midwest methane emissions, Atmos. Chem. Phys., 21, 951–971, https://doi.org/10.5194/acp-21-951-2021.
    • Qu, Z., D. Wu, D. K. Henze, Y. Li, M. Sonenberg, F. Mao (2021), Transboundary transport of ozone pollution to a US border region: a case study of Yuma, Environ. Pollut., 273, 116421, https://doi.org/10.1016/j.env pol.2020.116421.
    • Wang, X., T.-M. Fu, L. Zhang, H. Cao, Q. Zhang, H. Ma, L. Shen, M. Evans, P. Ivatt, X. Lu, Y. Chen, X. Yang, L. Zhu, D. K. Henze (2021), Sensitivities of ozone air pollution in the Beijing-Tianjin-Hebei area to local and upwind precursor emissions using adjoint modeling, Environ. Sci. Technol., 55, 9, 5752?5762, https://doi.org/10.1021/acs.est.1c00131.
    • Chen, Z., J. Liu, D. K. Henze, D. N. Huntzinger, K. C. Wells, S. Sitch, P. Friedlingstein, E. Joet- zjer, V. Bastrikov, D. S. Goll, V. Haverd, A. K. Jain, E. Kato, S. Lienert, D. L. Lombardozzi, P.C. McGuire, J. R. Melton, J. E. M. S. Nabel, B. Poulter, H. Tian, A. J. Wiltshire, S. Zaehle, S. M. Miller (2021), Linking global terrestrial CO2 fluxes and environmental drivers: inferences from the Orbiting Car- bon Observatory 2 satellite and terrestrial biospheric models, Atmos. Chem. Phys., 21, 6663–6680, https://doi.org/10.5194/acp-21-6663-2021.
  • 2020
    • Qu, Z, D. K. Henze, O. R. Cooper, and J. L. Neu, Impacts of global NOx inversions on NO2 and ozone simulations, Atmos. Chem. Phys., 20, 13109–13130, https://doi.org/10.5194/acp-20-13109-2020.
    • Cao, H., D. K. Henze, M. W. Shephard, E. Dammers, K. Cady-Pereira, M. Alvarado, C. Lonsdale, G. Luo, F. Yu, L. Zhu, C. G. Danielson, E. S. Edgerton, Inverse modeling of NH3 sources using CrIS remote sensing measurements, Environ. Res. Lett., 15, 104082.
    • Elguindi, N., C. Granier, T. Stavrakou, S. Darras, M. Bauwens, H. Cao, C. Chen, H.A.C. Denier van der Gon, O. Dubovik, T. M. Fu, D. K. Henze, Z. Jiang, J. J. P. Kuenen, J. Kurokawa, C. Liousse, K. Miyazaki, J.-F. Müller, Z. Qu, K. Sekou, F. Solmon, B. Zheng, Intercomparison of magnitudes and trends in anthropogenic surface emissions from bottom-up inventories, top-down estimates, and emission scenarios, Earth’s Future, 8 (8), https://doi.org/10.1029/2020EF001520.
    • Kuylenstierna, J. C. I., C. G. Heaps, T. Ahmed, H. W. Vallack, W. K. Hicks, M. R. Ashmore, C. S. Malley, G. Wang, E. N. Lefevre, S. C. Anenberg, F. Lacey, D. T. Shindell, U. Bhattacharjee, D. K. Henze, Development of the Low Emissions Analysis Platform – Integrated Benefits Calculator (LEAP-IBC) tool to assess air quality and climate co-benefits: Application for Bangladesh, Environ. Int., 145, 106155, https://doi.org/10.1016/j.envint.2020.106155.
    • Mao, Y. H., X. C. Zhao, H. Liao, D. K. Henze, H. Cao, L. Zhang, J. Li, L. Ran, Q. Zhang, J. D. Li, Sources of black carbon during severe haze events in the Beijing-Tianjin-Hebei region using the adjoint method, Sci. Tot. Environ., 740 (20), 140149, https://doi.org/10.1016/j.scitotenv.2020.140149.
    • Nawaz, M. O., and D. K. Henze, Premature deaths in Brazil associated with long-term exposure to PM2.5 from Amazon fires between 2016-2019, Geo Health, 4, e2020GH000268, https://doi.org/10.1029 /2020GH000268.
    • Wang, Y., J. Wang, X. Xu, D. K. Henze, Z. Qu, Inverse modeling of SO2 and NOx emissions over China using multi-sensor satellite data: 1. formulation and sensitivity analysis, Atmos. Chem. Phys., 20, 6631–6650, https://doi.org/10.5194/acp-20-6631-2020.
  • 2019
    • Chen, C., O. Dubovik, D. K. Henze, M. Chin, T. Lapyonak, G. L. Schuster, F. Ducos, D. Fuertes, P. Litvinov, L. Li, A. Lopatin, Q. Hu, B. Torres (2019), Constraining global aerosol emissions using POLDER/ PARASOL satellite remote sensing observations, Atmos. Chem. Phys., 19, 14585–14606, https://doi.org/10.5194/acp-19-14585-2019.
    • Zhao, H., Q. Zhang, S. J. Davis, X. Li, Y. Liu, G. Geng, M. Li, B. Zheng, H. Huo, L. Zhang, D. K. Henze, K. He (2019), Inequality of household consumption and air pollution deaths in China, Nature Com., 10, 10, 4337, https://doi.org/10.1038/s41467-019-12254-x.
    • Philip, S., M. S. Johnson, C. Potter, V. Genovesse, D. F. Baker, K. D. Haynes, D. K. Henze, J. Liu, B. Poulter (2019), Prior biosphere model impact on global terrestrial CO2 fluxes estimated, Atmos. Chem. Phys., 19, 13267–13287, https://doi.org/10.5194/acp-19-13267-2019.
    • Yi, K., J. Meng, H. Yang, C. He, D. K. Henze, J. Liu, D. Guan, Z. Liu, L. Zhang, X. Zhu, Y. Cheng, S. Tao (2019), The cascade of global trade to large climate forcing over the Tibetan Plateau glaciers, Nature Com., 10, 3281, https://doi.org/10.1038/s41467-019-10876-9.
    • Zhang, X., D. B. A. Jones, M. Keller, T. W. Walker, Z. Jiang, D. K. Henze, H. M. Worden, A. E. Bourassa, D.A. Degenstein, Y. J. Rochon, S. Wofsy (2019), Quantifying emissions of CO and NOx using observations from MOPITT, OMI, TES, and OSIRIS, J. Geophys. Res., 124, 1170–1193, https://doi.org/10.1029/2018JD028670.
    • Qu, Z., D. K. Henze, N. Theys, J. Wang, W. Wang (2019), Hybrid mass balance / 4D-Var joint inversion of NOx and SO2 emissions in East Asia, J. Geophys. Res., 124, 8203–8224, https://doi.org/10.1029/2018JD030240.
    • Qu, Z., D. K. Henze, C. Li, N. Theys, Y. Wang, J. Wang, W. Wang, J. Han, C. Shim, R. R. Dickerson, X. Ren (2019), SO2 emissions estimated using OMI SO2 retrievals (2005-2017), J. Geophys. Res., 124, 8336–8359, https://doi.org/10.1029/2019JD030243.
    • Li, C., R. V. Martin, M. W. Shephard, M. J. Cooper, J. Kaiser, C. J. Lee, L. Zhang, D. K. Henze (2019), Assessing the iterative finite difference mass balance and 4D-Var methods to retrieve ammonia emissions over North America using synthetic Cross-track Infrared Sounder Observations, J. Geophys. Res., 124, 4222–4236. https://doi.org/10.1029/2018JD030183.
    • Choi, J., R. J. Park, H.-M. Lee, S. Lee, D. S. Jo, J. I. Jeong, D. K. Henze, J.-H. Woo, S.-J. Ban, M.-D. Lee, C.-S. Lim, M.-K. Park, H. J. Shin, S. Cho, D. Peterson, C.-K. Song (2019), Impacts of local vs. trans-boundary emissions from different sectors on PM2.5 exposure in South Korea during the KORUS-AQ campaign, Atmos. Environ., 203, 196–205, https://doi.org/10.1016/j.atmosenv.2019.02.008.
  • 2018
    • Jiang, Z., B. C. McDonald, H. Worden, J. R. Worden, K. Miyazaki, Z. Qu, D. K. Henze, D. B. A. Jones, A. F. Arellano, E. V. Fischer, L. Zhu, K. F. Boersma (2018), Unexpected slowdown of US pollutant emission reduction in the past decade, Proc. Nat. Acad. Soc., 115(20), 5099--5104, doi:10.1073/pnas.1801191115.
    • Chen, C., O. Dubovik, D. K. Henze, T. Lapyonak, M. Chin, F. Ducos, P. Litvinov, X. Huang, L. Li (2018), Retrieval of desert dust and carbonaceous aerosol emissions over Africa from PARASOL/GRASP observations, Atmos. Chem. Phys., 18, 12551-12580, https://doi.org/10.5194/acp-18-12551-2018.
    • Cao, H., T.-M. Fu, L. Zhang, D. K. Henze, C. Chan Miller, C. Lerot, G. González Abad, I. De Smedt, Q. Zhang, M. van Roozendael, K. Chance, J. Li, J. Y. Zheng, Y. H. Zhao (2018), Adjoint inversion of Chinese non-methane volatile organic compound emissions using space-based observations of formaldehyde and glyoxal, Atmos. Chem. Phys., 18, 15017-15046, https://doi.org/10.5194/acp-18-15017-2018.
    • Wells, K. C., D. B. Millet, N. Bousserez, D. K. Henze, T. J. Griffis, S. Chaliyakunnel, E. J. Dlugokencky, E. Saikawa, G. Xiang, R. G. Prinn, S. O'Doherty, D. Young, R. F. Weiss, G. S. Dutton, J. W. Elkins, P. B. Krummel, R. Langenfelds, L. P. Steele (2018), Top-down constraints on global N2O emissions at optimal resolution: application of a new dimension reduction technique, Atmos. Chem. Phys., 18, 735-756, https://doi.org/10.5194/acp-18-735-2018.
    • Zhang, L., Y. Chen, Y. Zhao, Y. D. K. Henze, L. Zhu, Y. Song, F. Paulot, X. Liu, Y. Pan, B. Huang (2018), Agricultural ammonia emissions in China: reconciling bottom-up and top-down estimates, Atmos. Chem. Phys., 18, 339-355, https://doi.org/10.5194/acp-18-339-2018.
    • Bousserez, N. and D. K. Henze (2018), Optimal and scalable methods to approximate the solutions of large-scale Bayesian problems: Theory and application to atmospheric inversions and data assimilation, Q. J. R. Meteorol. Soc., 144, 365 – 390, https://doi.org/10.1002/qj.3209.


  • 2017
    • Xu, J., R. V. Martin, A. Morrow, S. Sharma, L. Huang, W. R. Leaitch, J. Burkart, H. Schulz, M. Zanatta, M. D. Willis, D. K. Henze, C. J. Lee, A. B. Herber, J. P. D. Abbatt (2017), Source attribution of Arctic black carbon constrained by aircraft and surface measurements, Atmos. Chem. Phys., 17, 11971-11989, https://doi.org/10.5194/acp-17-11971-2017.
    • Qi, L., Q. Li, D. K. Henze, H.-L. Tseng, and C. He, Sources of springtime surface black carbon in the Arctic: an adjoint analysis for April 2008 (2017), Atmos. Chem. Phys., 17, 9697-9716, https://doi.org/10.5194/acp-17-9697-2017.
    • Qu, Z., D. K. Henze, S. L. Capps, Y. Wang, X. Xu, J. Wang (2017), Monthly top-down NOx emissions for China (2005-2012): a hybrid inversion method and trend analysis, J. Geophys. Res., 122, 4600-4625, doi:10.1002/2016JD025852.
    • Lee, H.-M., R. J. Park, D. K. Henze, S. Leeb, C. Shim, H.-J. Shine, K.-J. Moone, J.-H. Woo (2017), PM2.5 source attribution for Seoul in May from 2009 to 2013 using GEOS-Chem and its adjoint model, Environmental Pollution, 221:377-38.
    • Jiang, Z., J. R. Worden, H. Worden, M. Deeter, D. B. A. Jones, A. Arellano, D. K. Henze (2017), A fifteen year record of CO emissions constrained by MOPITT CO observations, Atmos. Chem. Phys., 17, 4565-4583, doi:10.5194/acp-17-4565-2017
    • Xu, X., J. Wang, Y. Wang, D. K. Henze, L. Zhang, G. A. Grell, S. McKeen. and B. Wielicki (2017), Sense Size-Dependent Dust Loading and Emission from Space Using Reflected Solar and Infrared Spectral Measurements: An Observation System Simulation Experiment, J. Geophys. Res. Atmos., 122, 8233-8254, doi: 10.1002/2017JD026677.
    • Lacey F. G., E. A. Marais, D. K. Henze, C. J. Lee, A. van Donkelaar, R. V. Martin, M. P. Hannigan, C. Wiedinmyer, Improving present day and future estimates of anthropogenic sectoral emissions and the resulting air quality impacts in Africa, Faraday Discuss., 200, 397-412.
    • Cui, Y., J. Brioude, W. M. Angevine, J. Peischl, S. A. McKeen, S-W. Kim, J. Neuman, D. K. Henze, N. Bousserez, M. Fischer, S. Jeong, H. Michelsen, R. P. Bambha, Z. Liu, G. W. Santoni, B. Duabe, E. Kort, G. Frost, T. B. Ryerson, S. C. Wofsy, M. Trainer (2017). Top-down estimate of methane emissions in California using a mesoscale inverse modeling technique: The San Joaquin Valley, J. Geophys. Res. Atmos., 122, 3686--3699, doi:10.1002/2016JD026398, online.
    • Cooper, M., R. V. Martin, A. Padmanabhan, and D. K. Henze (2017), Comparing mass balance and adjoint methods for inverse modeling of nitrogen dioxide columns for global nitrogen oxide emissions, J. Geophys. Res. Atmos., 122, 4718-4734, doi:10.1002/2016JD025985 online.


  • 2016
    • Wang, Y., J. Wang, X. Xu, D. K. Henze, Y. Wang, Z. Qu (2016), A new approach for monthly updates of anthropogenic sulfur dioxide emissions from space: implications for air quality forecasts, Geophys. Res. Lett., 43, 9931–9938.
    • Lee, H.-M., F. Paulot, D. K. Henze, K. Travis, D. J. Jacob, L. H. Pardo, B. Schichtel (2016), Sources of nitrogen deposition in Federal Class I areas in the US, Atmos. Chem. Phys, 16, 525-540, doi:10.5194/acp-16-1-2016
    • Zhang, L., J. Shao, X. Lu, Y. Zhao, Y. Hu, D. K. Henze, H. Liao, S. Gong, Q. Zhang (2016), Sources and processes affecting fine particulate matter pollution over North China: an adjoint analysis of the Beijing APEC period, Environ. Sci. Technol., 50 (16), 8731-8740, doi:10.1021/acs.est.6b03010
    • Bousserez, N., D. K. Henze, B. Rooney, A. Perkins, K. J. Wecht, A. J. Turner, V. Natraj, J. R. Worden, Constraints on methane emissions in North America from future geostationary remote sensing measurements, Atmos. Chem. Phys., 16, 6175-6190, 2016, https://doi.org/10.5194/acp-16-6175-2016
    • Tan, Z., Q. Zhuang, D. K. Henze, C. Frankenberg, E. Dlugokencky, C. Sweeney, A. J. Turner, M. Sasakawa, T. Machida, Inverse modeling of pan-Arctic methane emissions at high spatial resolution: what can we learn from assimilating satellite retrievals and using different process-based wetland and lake biogeochemical models?, Atmos. Chem. Phys., 16, 12649–12666, doi:10.5194/acp-16-12649-2016.
  • 2015
    • Zhang, L., L. Licheng, Y. Zhao, S. Gong, X. Zhang, D. K. Henze, S. L. Capps, T.-M. Fu, Q. Zhang, Source attribution of particulate matter pollution over North China with the adjoint method, Environ. Res. Lett. 10 084011.
    • Zhao, Y. H., L. Zhang, Y. P. Pan, Y. S. Wang, F. Paulot, and D. K. Henze, Atmospheric nitrogen deposition to the northwestern Pacific: seasonal variation and source attribution, submitted.
    • Lapina, K., D. K. Henze, J. B. Milford, C. Cuvelier, and M. Seltzer, Implications of RCP Scenarios for future changes in vegetative exposure to ozone in the Western U.S., Geophys. Res. Let., Atmos. Chem. Phys., 15, 10905-10924, 2015, https://doi.org/10.5194/acp-15-10905-2015
    • Whaley, C. H., K. Strong, D. B. A. Jones, T. W. Walker, Z. Jiang, D. K. Henze, M. Cooke, C. A. McLinden, M. Pommier, R. L. Mittermeier, P. F. Fogal, Improvements to our understanding of urban ozone air pollution: Sources of Toronto-area ozone during poor air quality events, J. Geophys. Res. Atmos., 120, 11,368–11,390, doi:10.1002/2014JD022984.
    • Liu, J., Bowman, K., and Henze, D., Source-receptor relationships of column-average CO2 and implications for the impact of observations on flux inversions., J. Geophys. Res. Atmos., 120,5214–5236, doi:10.1002/2014JD022914
    • Turner, A. J. and D. J. Jacob, Balancing aggregation and smoothing errors in inverse models, Atmos. Chem. Phys., 15, 7039-7048, 2015, https://doi.org/10.5194/acp-15-7039-2015
    • Turner, A. J., D. J. Jacob, K. J. Wecht, J. D. Maasakkers, S. C. Biraud, H. Boesch, K. W. Bowman, N. M. Deutscher, M. K. Dubey, D. W. T. Griffith, F. Hase, A. Kuze, J. Notholt, H. Ohyama, R. Parker, V. H. Payne, R. Sussmann, V. A. Velazco, T. Warneke, P. O. Wennberg, and D. Wunch, Estimating global and North American methane emissions with high spatial resolution using GOSAT satellite data, Atmos. Chem. Phys., 15, 7049-7069, 2015,https://doi.org/10.5194/acp-15-7049-2015
    • Zhang, L., D. K. Henze, G. A. Grell, G. R. Carmichael, N. Bousserez, Q. Zhang, J. Cao, O. Torres, C. Ahn, Z. Lu, Y. Mao, Constraining black carbon aerosol over Southeast Asia using OMI aerosol absorption optical depth and the adjoint of GEOS-Chem, Atmos. Chem. Phys., 15, 10281-10308, doi:10.5194/acp-15-10281-2015.
    • Patrick S. Kim, Daniel J. Jacob, Loretta J. Mickley, Shannon N. Koplitz, Miriam E. Marlier, Ruth S. DeFries, Samuel S. Myers, Boon Ning Chewf, Yuhao H. Mao, Sensitivity of population smoke exposure to fire locations in Equatorial Asia, doi:10.1016/j.atmosenv.2014.09.045
    • Deng, F., D. B. A. Jones, T. W. Walker, M. Keller, K. W. Bowman, D. K. Henze, R. Nassar, E. A. Kort, S. C. Wofsy, K. A. Walker, A. E. Bourassa, and D. A. Degenstein, Sensitivity analysis of the potential impact of discrepancies in stratosphere-troposphere exchange on inferred sources and sinks of CO2, Atmos. Chem. Phys. Discuss., 15, 10813-10851, doi:10.5194/acpd-15-10813-2015.
    • Jiang, Z., D. B. A. Jones, J. R. Worden, H. M. Worden, D. K. Henze, Y. X. Wang, Regional data assimilation of multi-spectral MOPITT observations of CO over North America, Atmos. Chem. Phys. Discuss., 15, 5327-5358, doi:10.5194/acpd-15-5327-2015.
    • Zhu, L., D. K. Henze, J. Bash, G. Jeong, K. Cady-Pereira, M. Shephard, M. Luo, F. Paulot, and S. Capps, Global evaluation of ammonia bi-directional exchange, Atmos. Chem. Phys. Discuss., 15, 4823-4877, doi:10.5194/acpd-15-4823-2015.
    • Jiang, Z., J. R. Worden, D. B. A. Jones, J.-T. Lin, W. Verstraeten, and D. K. Henze, Constraints on Asian ozone using Aura TES, OMI and Terra MOPITT, Atmos. Chem. Phys., 15, 99-112.
    • Lee, C.J., R.V. Martin, Henze D.K., Brauer M., Cohen A., and A. van Donkelaar, Sensitivity of global particulate-matter-related mortality to local precursor emissions, Environ. Sci. Technol., 49(7), 4335–4344, doi:10.1021/acs.est.5b00873, 2015.
    • Bousserez, N., D. K. Henze, A. Perkins, K. W. Bowman, M.Lee, J.Liu, D.B.A. Jones, F. Deng, Improved analysis-error covariance matrix for high-dimensional variational inversions: application to source estimation using a 3D atmospheric transport model. Q.J.R. Meteorol. Soc.. doi: 10.1002/qj.2495
  • 2014
    • Jiang, Z., D. B. A Jones, H. M. Worden, and D. K. Henze, Sensitivity of inferred regional CO source estimates to the vertical structure in CO as observed by MOPITT, Atmos. Chem. Phys. Discuss., 14, 22939-22984
    • Zhu, Q., Q. Zhuang, D. K. Henze, K. Bowman, M. Chen, Y. Liu, Y. He, H. Matsueda, T. Machida, and Y. Sawa, Constraining terrestrial ecosystem CO2 fluxes by integrating models of biogeochemistry and atmospheric transport and data of surface carbon fluxes and atmospheric CO2 concentrations, Atmos. Chem. Phys. Discuss., 14, 22587-22638
    • Mao, Y. H., Q. B. Li, D. K. Henze, Z. Jiang, D. B. A. Jones, M. Kopacz, C. He, L. Qi, M. Gao, W.-M. Hao, and K.-N. Liou, Variational estimates of black carbon emissions in the western United States, Atmos. Chem. Phys. Discuss., 14, 21865-21916
    • Liu, J., Bowman, K., Lee, M., Henze, D., Bousserez, N., Brix, H., Collatz, G., Menemenlis, D., Ott, L., Pawson, S., Jones, D., Nassar, R.. Carbon monitoring system flux estimation and attribution: impact of ACOS-GOSAT XCO2 sampling on the inference of terrestrial biospheric sources and sinks. Tellus B, North America, 66, may. 2014. Available at: http://www.tellusb.net/index.php/tellusb/article/view/22486
    • Lee, H., D. K. Henze, B. Alexander, and L. T., Murray, Investigating the sensitivity of surface-level nitrate seasonality in Antarctica to primary sources using a global model, Atmos. Environ., 89, 757--767, doi:0.1016/j.atmosenv.2014.03.003
    • Paulot, F., D. J. Jacob, R. W. Pinder, J. O. Bash, K. Travis, D. K. Henze, Ammonia emissions in the United States, Europe, and China derived by high-resolution inversion of ammonium wet deposition data: Interpretation with a new agricultural emissions inventory (MASAGE_NH3), J. Geophys. Res., 119, 7, 4343--4364, doi:10.1002/2013JD021130.
    • Lapina, K., D. K. Henze, J. B. Milford, M. Huang, M. Lin, A. M. Fiore, G. Carmichael, G. G. Pfister, and K. W. Bowman, Assessment of source contributions to seasonal vegetative exposure to ozone in the U.S., J. Geophys. Res., 119, 324-340, doi:10.1002/2013JD020905
    • Shen, Z., J. Liu, L. W. Horowitz, D. K. Henze, S. Fan, H. Levy II, D. L. Mauzerall, J. Lin, and S. Tao,.: Analysis of transpacific transport of black carbon during HIPPO-3: implications for black carbon aging, Atmos. Chem. Phys. Discuss., 14, 505-540, doi:10.5194/acpd-14-505-2014
    • Wells, K. C., D. B. Millet, K. E. Cady-Pereira, M. W. Shephard, D. K. Henze, N. Bousserez, E. C. Apel, J. de Gouw, C. Warneke, H. B. Singh, Quantifying global terrestrial methanol emissions using observations from the TES satellite sensor, Atmos. Chem. Phys., 14, 2555-2570
  • 2013
    • Walker, T. W., D. B. A. Jones, D. K. Henze, Z. Jiang, M. Parrington, F. Paulot, and Y. Rochon, Adjoint sensitivity analysis of North American surface ozone concentrations: Implications for dry deposition, American Geophysical Union, Fall Meeting 2013, abstract id. A33L-03.
    • Deng, F., D. B. A. Jones, D. K. Henze, N. Bousserez, K. W. Bowman, J. B. Fisher, R. Nassar, C. O'Dell, D. Wunch, P. O. Wennberg, E. A. Kort, S. C. Wofsy, T. Blumenstock, N. M. Deutscher, D. Griffith, F. Hase, P. Heikkinen, V. Sherlock, K. Strong, R. Sussmann, and T. Warneke, Inferring regional sources and sinks of atmospheric CO2 from GOSAT XCO2 data, Atmos. Chem. Phys. Discuss., 13, 26327-26388
    • Meland, B., X. Xu, D. K. Henze, J. Wang, Assessing remote polarimetric measurements sensitivities to aerosol emissions using the GEOS-Chem adjoint model, Atmos. Meas. Tech. Discuss., 6, 5447-5493, doi:10.5194/amtd-6-5447-2013
    • Xu, X., J. Wang, D. K. Henze, W. Qu, M. Kopacz (2013), Constraints on Aerosol Sources Using GEOS-Chem Adjoint and MODIS Radiances, and Evaluation with Multi-sensor (OMI, MISR) data, J. Geophys. Res., 118, doi:10.1002/jgrd.50515.
    • Paulot, F., D. J. Jacob and D. K. Henze, Sources and processes contributing to nitrogen deposition in biodiversity hotspots worldwide, Environ. Sci. Technol, 47, 3226-3233, doi:10.1021/es3027727.
    • Koo, J., Q. Wang, D. K. Henze, I. A. Waitz, S.R.H. Barrett, Spatial sensitivities of human health risk to intercontinental and high-altitude pollution, Atmos. Environ., 71, 140-147.
    • Kharol, S., R. V. Martin, S. Philip, S. Vogel, D. K. Henze, D. Chen, Y. Wang, Q. Zhang, C. L. Heald, Persistent Sensitivity of Asian Aerosol to Emissions of Nitrogen Oxides, Geophys. Res. Lett., 40, 1021-1026, doi:10.1002/grl.50234.
    • Jiang, Z., D. B. A. Jones, H. M. Worden, M. N. Deeter, D. K. Henze, J. Worden, and K. W. Bowman, Quantifying the impact of model biases in convective transport on inferred CO source estimates using multi-spectral CO retrievals from MOPITT, J. Geophys. Res.,118, doi:10.1029/jgrd.50216
    • L. Zhu, D. K. Henze, K. E. Cady-Pereira, M. W. Shephard, M. Luo, R. W. Pinder, J. O. Bash, G. Jeong, Constraining U.S. ammonia emissions using TES remote sensing observations and the GEOS-Chem adjoint model, J. Geophys. Res., 118, doi:10.1002/jgrd.50166
    • Koo, J., Q. Wang, D. K. Henze, I. A. Waitz, S.R.H. Barrett, Spatial sensitivities of human health risk to intercontinental and high-altitude pollution, Atmos. Environ., 71, 140-147
  • 2012
    • Bowman, K. W., and D. K. Henze, Attribution of direct ozone radiative forcing to spatially-resolved emissions, Geophys. Res. Lett., 39, L22704, doi:10.1029/2012GL053274.
    • Henze, D. K., D. T. Shindell, F. Akhtar, R. J. D. Spurr, R. W. Pinder, D. Loughlin, M. Kopacz, K. Singh, and C. Shim, Spatially refined aerosol direct radiative forcing efficiencies, Environ. Sci. Technol., 46, 9511 - 9518, dx.doi.org/10.1021/es301993s.
    • Karydis, V. A., S. L. Capps, R. H. Moore, A. Russell, D. K. Henze, and A. Nenes, Using a global aerosol model adjoint to unravel the footprint of spatially-distributed emissions on cloud droplet number and cloud albedo, Geophys. Res. Lett., 39, L24804, doi:10.1029/2012GL053346.
    • Parrington, M., P. I. Palmer, D. K. Henze, D. W. Tarasick, E. J. Hyer, R. C. Owen, C. Clerbaux, K. W. Bowman, M. N. Deeter, E. M. Barratt, P.-F. Coheur, D. Hurtmans, M. George, and J. R. Worden, The influence of boreal biomass burning emissions on the distribution of tropospheric ozone over North America and the North Atlantic during 2010, Atmos. Chem. Phys., 12, 2077-2098.
    • Paulot, F., D. K. Henze, and P. O. Wennberg, Impact of the isoprene photochemical cascade on tropical ozone, Atmos. Chem. Phys., 12, 1307-1325.
    • Singh, K. and A. Sandu, 2012: Variational chemical data assimilation with approximate adjoints. Computers and Geosciences, 40, 10-18.
    • Turner, A., D. K. Henze, R. V. Martin, and A. Hakami, The spatial extent of source influences on modeled column concentrations of short-lived species, Geophys. Res. Lett., 39, L12806, doi:10.1029/2012GL051832.
    • Walker, T., D. B. A. Jones, M. Parrington, D. K. Henze, L. T. Murray, J. W. Bottenheim, K. Anlauf, J. R. Worden, K. W. Bowman, C. Shim, K. Singh, M. Kopacz, D. W. Tarasick, J. Davies, P. von der Gathen, and C. C. Carouge, Impacts of midlatitude precursor emissions and local photochemistry on ozone abundances in the Arctic, J. Geophys. Res.,117, D01305 doi:10.1029/2011JD016370.
    • Wang, J., X. Xu, D. K. Henze, Q. Ji, S.-C. Tsay (2012), J. Huang, Top-Down Estimate of Dust Emissions through Integration of MODIS and MISR Aerosol Retrievals with the GEOS-Chem adjoint model, Geophys. Res. Lett., 39, L08802.
    • Wecht, K. J., D. J. Jacob, S. C. Wofsy, E. A. Kort, J. R. Worden, S. S. Kulawik, D. K. Henze, M. Kopacz, and V. H. Payne, Validation of TES methane with HIPPO aircraft observations: implications for inverse modeling of methane sources, Atmos. Chem. Phys., 12, 1823-1832.
    • Singh, K. and A. Sandu (2012). "Variational chemical data assimilation with approximate adjoints." Computers and Geosciences 40: 10-18.
  • 2011
    • Jiang, Z., D. B. A. Jones, M. Kopacz, J. Liu, D. K. Henze, and C. Heald, Quantifying the impact of model errors on top-down estimates of carbon monoxide emissions using satellite observations, J. Geophys. Res., 116, D15306, doi:10.1029/2010JD015282.
    • Jiang, Z., D. B. A. Jones, M. Kopacz, J. Liu, D. K. Henze, and C. Heald (2011), Quantifying the impact of model errors on top-down estimates of carbon monoxide emissions using satellite observations, J. Geophys. Res., 116, D15306, doi:10.1029/2010JD015282.
    • Kopacz, M., D. L. Mauzerall, J. Wang, E. M. Leibensperger, D. K. Henze, and K. Singh, Origin and radiative forcing of black carbon transported to the Himalayas and Tibetan Plateau, Atmos. Chem. Phys., 11, 2837-2852.
  • 2010
    • Kopacz, M., D. J. Jacob, J. A. Fisher, J. A. Logan, L. Zhang, I. A Megretskaia, R. M. Yantosca, K. Singh, D. K. Henze, J. P. Burrows, M. Buchwitz, I. Khlystova, W. W. McMillan, J. C. Gille, D. P. Edwards, A. Eldering, V. Thouret, and P. Nedelec (2010), Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atoms. Chem. Phys., 10, 855-876.
    • Kopacz, M., D.J. Jacob, J.A. Fisher, J. A. Logan, L. Zhang, I. A. Megretskaia, R. M. Yantosca, K. Singh, D. K. Henze, J. P. Burrows, M. Buchwitz, I. Khlystova, W. W. McMillan, J. C. Gille, D. P. Edwards, A. Eldering, V. Thouret, and P. Nedelec (2010): Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), Atmos. Chem. Phys., 10, 855-876. http://www.atmos-chem-phys.net/10/855/2010/acp-10-855-2010.
    • Parrington, M., P. I. Palmer, D. K. Henze, D. W. Tarasick, E. J. Hyer, R. C. Owen, C. Clerbaux, K. W. Bowman, M. N. Deeter, E. M. Barratt, P.-F. Coheur, D. Hurtmans, M. George, and J. R. Worden (2012), The influence of boreal biomass burning emissions on the distribution of tropospheric ozone over North America and the North Atlantic during 2010, Atmos. Chem. Phys., 12, 2077-2098
    • Singh, K., Jardak, M., Sandu, A., Bowman, K., Lee, M., and Jones, D. (2010): Construction of non-diagonal background error covariance matrices for global chemical data assimilation, Geosci. Model Dev. Discuss., 3, 1783-1827, doi:10.5194/gmdd-3-1783-2010. http://www.geosci-model-dev-discuss.net/3/1783/2010/gmdd-3-1783-2010.html
  • 2009
    • Eller, P., K. Singh, A. Sandu, K. Bowman, D. K. Henze, and M. Lee (2009), Implementation and evaluation of an array of chemical solvers in a global chemical transport model, Geosci. Mod. Devel., 2, 185-207.
    • Henze, D. K., J. H. Seinfeld and D. T. Shindell, (2009), Inverse modeling and mapping U.S. air quality influences of inorganic PM2.5 precursor emissions with the adjoint of GEOS-Chem, Atoms. Chem. Phys., 9, 5877-5903.
    • Kopacz, M., D. J. Jacob, D. K. Henze, C. L. Heald, D. G. Streets, and Q. Zhang (2009), A comparison of analytical and adjoint Bayesian inversion methods for constraining Asian sources of CO using satellite (MOPITT) measurements of CO columns, J. Geophys. Res., 114, D04305, doi:10.1029/2007JD009264.
    • Pye, H. O. T., H. Liao, S. Wu, L. J. Mickely, D. J. Jacob, D. K. Henze, and J. H. Seinfeld (2009), Effect of changes in climate and emissions on future sulfate-nitrate-ammonium aerosol levels in the United States, J. Geophys. Res., 114, D01205, doi:10.1029/2008JD010701.
    • Zhang, L., D. J. Jacob, M. Kopacz, D. K. Henze, K. Singh, and D. A. Jaffe (2009), Intercontinental source attribution of ozone pollution at western U.S. sites using an adjoint method, Geophys. Res. Lett., 36, L11810, doi:10.1029/2009GL037950.
  • 2007
    • Henze, D. K., A. Hakami and J. H. Seinfeld (2007), Development of the adjoint of GEOS-Chem, Atmos. Chem. Phys., 7, 2413-2433.

Conference proceedings

  • Singh, K., P. Eller, A. Sandu, D. K. Henze, K. Bowman, M. Kopacz, and M. Lee (2009), Towards the construction of a standard geos-chem adjoint model, ACM High Performance Computing Conference.
  • Kopacz, M., Mauzerall, D.L., Leibensperger, E.M., Wang, J., Henze, D.K., Singh, K., Shim, C. Identifying the origin and estimating the radiative forcing of BC in the Himalayas: an analysis using the global GEOS-Chem adjoint model, European Geophysical Union meeting, Vienna, May 4, 2010.
  • Kopacz, M., Jacob, D.J., Fisher, J.A., Logan, J.A., Zhang, L., Megretskaia, I.A., Yantosca, R.M., Singh, K., Henze, D.K., Burrows, J.P., Buchwitz, M., Khlystova, I., McMillan, W.W., Gille, J.C., Edwards, D.P., Eldering, A., Thouret, V., Nedelec, P. Global estimates of CO sources with high resolution by adjoint inversion of multiple satellite datasets (MOPITT, AIRS, SCIAMACHY, TES), European Geophysical Union meeting, Vienna, May 7, 2010.
  • Tang, J., Zhuang, Q. and Xiong, X. (2010), 4D-Var inversion of atmospheric methane fluxes by assimilating SCIAMACHY and AIRS satellite retrievals, AGU, Dec. 18, 2010, http:/web.ics.purdue.edu/~tang16/agu2010_tang.ppt
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