Difference between revisions of "History collections for convection and wet deposition"

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== The CloudConvFlux collection ==
 
== The CloudConvFlux collection ==
  

Revision as of 21:29, 18 July 2019

The CloudConvFlux collection

The CloudConvFlux collection contains diagnostics for mass fluxes in cloud convection.

Here is a sample definition section for the CH4 collection. If this collection is not already present in the HISTORY.rc file in the GEOS-Chem run directory for your selected simulation, you can copy and paste this into your HISTORY.rc file and edit accordingly.

To prevent an individual field from being included in the diagnostic output, place a comment character # in front of the field name.

  CloudConvFlux.template:     '%y4%m2%d2_%h2%n2z.nc4',
  CloudConvFlux.format:       'CFIO',
  CloudConvFlux.frequency:    00000100 000000
  CloudConvFlux.duration:     00000100 000000
  CloudConvFlux.mode:         'time-averaged'
  CloudConvFlux.fields:       'CloudConvFlux_?ADV?           ', 'GIGCchem',
::

This table describes the diagnostic quantities belonging to the CloudConvFlux collection:

Diagnostic name Description Units Wildcards Simulations Bpch equiv. Notes
CloudConvFlux_<spcname> Mass change due to cloud convection kg/s
  • ?ADV?
  • ?GAS?
  • ?WET?
  • all simulations
  • Will soon be replaced by new flux diagnostics

--Bob Yantosca (talk) 19:18, 7 June 2018 (UTC)

The WetLossConv collection

The WetLossConv collection contains diagnostics fluxes of soluble species lost to wet scaveinging in convective updrafts.

Here is a sample definition section for the WetLossConv collection. If this collection is not already present in the HISTORY.rc file in the GEOS-Chem run directory for your selected simulation, you can copy and paste this into your HISTORY.rc file and edit accordingly.

To prevent an individual field from being included in the diagnostic output, place a comment character # in front of the field name.

  WetLossConv.template:       '%y4%m2%d2_%h2%n2z.nc4',
  WetLossConv.format:         'CFIO',
  WetLossConv.frequency:      00000100 000000
  WetLossConv.duration:       00000100 000000
  WetLossConv.mode:           'time-averaged'
  WetLossConv.fields:         'WetLossConv_?WET?             ', 'GIGCchem',
                              'WetLossConvFrac_?WET?         ', 'GIGCchem',
::

The table below describes diagnostic quantities belonging to the WetLossConv collection.

Diagnostic name Description Units Wildcards Simulations Bpch equiv. Notes
WetLossConv_<spcname> Loss of soluble species scavenged by cloud updrafts in moist convection kg/s
  • ?WET?
  • all simulations
WetLossConvFrac_<spcname> Fraction of species scavenged by cloud updrafts in moist convection 1
  • ?WET?
  • all simulations

--Bob Yantosca (talk) 20:23, 17 May 2018 (UTC)

The WetLossLS collection

The WetLossLS collection contains diagnostics fluxes of soluble species lost to rainout and washout in large-scale wet deposition.

Here is a sample definition section for the WetLossConv collection. If this collection is not already present in the HISTORY.rc file in the GEOS-Chem run directory for your selected simulation, you can copy and paste this into your HISTORY.rc file and edit accordingly.

To prevent an individual field from being included in the diagnostic output, place a comment character # in front of the field name.

  WetLossLS.template:         '%y4%m2%d2_%h2%n2z.nc4',
  WetLossLS.format:           'CFIO',
  WetLossLS.frequency:        010000
  WetLossLS.duration:         010000
  WetLossLS.mode:             'time-averaged'
  WetLossLS.fields:           'WetLossLS_?WET?               ', 'GIGCchem',
::

The table below describes diagnostic quantities belonging to the WetLossLS collection.

Diagnostic name Description Units Wildcards Simulations Bpch equiv. Notes
WetLossLS_<spcname> Loss of soluble species in large-scale precipitation kg/s
  • ?WET?
  • all simulations
WetLossConvFrac_<spcname> Fraction of species scavenged by cloud updrafts in moist convection 1
  • ?WET?
  • all simulations

--Bob Yantosca (talk) 20:23, 17 May 2018 (UTC)