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(New page: == '''Multi-mission Observation Operator (M2O2) Task''' == *PI: Meemong Lee/Jet Propulsion Laboratory *Co-Is : Kevin Bowman & Richard Weidner / Jet Propulsion Laboratory, Chris Lynnes /Go...)
 
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Latest revision as of 22:03, 20 November 2012

Multi-mission Observation Operator (M2O2) Task

  • PI: Meemong Lee/Jet Propulsion Laboratory
  • Co-Is : Kevin Bowman & Richard Weidner / Jet Propulsion Laboratory, Chris Lynnes /Goddard Space Flight Center, Dave Henze / University of Colorado, Boulder

Overview

The goal of the M2O2 is to create a streamlined interface mechanism between the atmospheric chemistry model developers and the atmospheric sounding mission data providers by infusing mission-generic observation integration technologies developed under the Advanced Information System Technology (AIST) program. The M2O2 addresses a major challenge in utilizing the space-based observations within the atmospheric chemistry modeling and assimilation community, which involves linking between the model analysis and the observed atmospheric state in the level 2 mission data products (L2 data). The state-of-the-practice is to develop an observation operator for each atmospheric component of an atmospheric sounding mission, which often involves laborious data preparation. A wide range of observation operators with its own ad-hoc way of handling L2 data greatly hinders integration of observations from multiple missions. A generic observation operator that provides the link between the model analysis and mission observations requires an automated “assimilation-purpose” data preparation service and representation coordinate transformation.

The scope of the M2O2 is limited to the “adjoint”-based global assimilations of three types of space-based observations, O3, CO, CO2, and x CO2 in 3D variational assimilation (3Dvar) and 4D variational assimilation (4D-var) processes. The 3D-var method updates the forecast by integrating the observations where the cost is computed for each assimilation time step over the entire atmospheric layers. The 4D-var method updates the initial condition by optimizing the cost integrated over the assimilation period and over the atmospheric layers. The global assimilation processes employs GEOS-Chem-v9.0.1 as the forward model and GEOS-Chem-V33 as the adjoint model. The technial objectives include:

  • 1. Derive assimilation-ready data products (L2# data) from level-2 mission data products.
  • 2. Create a ‘data-to-data’ web-service with configurable requests and mission-sensitive L2# data products.
  • 3. Develop a mission-generic assimilation software library that can be easily integrated to atmospheric chemistry transport model (CTM) systems.

Delivery Schedule

M2O2 task plans to deliver L2#-based assimilation service to GEOSChem-Adjoint community that can perform 3D-var and 4D-var assimilations of level-2 data products from MLS, TES, ACOS, and AIRS. The delivery will be carried out in two phases, beta-site phase and final phase. The beta-site phase delivery includes M2O2 software library, assimilation application, and run results on ‘prospero.colorado.edu’. During the beta-site phase, the technology readiness level (TRL) will be assessed for operational readiness and a final delivery will be developed including a user guide. The final delivery will be downloadable via GEOSChem-Adjoint website.

  • 2012/12.15: MLS-O3 L2# data & assimilation server beta site
  • 2013/02.15: MLS-O3 L2# data & assimilation server final
  • 2013/03.15: ACOS-XCO2 L2# data & assimilation server beta site
  • 2013/05.15: ACOS-XCO2 L2# data & assimilation server final
  • 2013/06.15: ACOS-XCH4 L2# data & assimilation server beta site
  • 2013/08.15: ACOS-XCH4 L2# data & assimilation server beta site
  • 2013/11.15: AIRS-CO2 L2# data & assimilation server beta site
  • 2013/12.31: AIRS-CO2 L2# data & assimilation server final
  • 2013/03.15: Multi-mission assimilation server final