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This study enhances the Goddard Earth Observing System (GEOS) Atmospheric Data Assimilation System (ADAS) to conserve dry-air mass and balance water sources and sinks. These improvements ensure more accurate atmospheric water accounting in climate reanalysis data.

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Area of Science:

  • Atmospheric Science
  • Climate Modeling
  • Data Assimilation

Background:

  • Accurate representation of atmospheric mass and water cycle is crucial for climate reanalysis.
  • Previous versions of GEOS-ADAS had limitations in conserving dry-air mass and balancing water budgets.
  • The Modern Era Retrospective-Analysis for Research and Applications (MERRA-2) requires robust data assimilation for reliable climate data.

Purpose of the Study:

  • To modify the GEOS Atmospheric Data Assimilation System (ADAS) for improved conservation of atmospheric dry-air mass.
  • To ensure the net water source from precipitation and evaporation equals the change in total atmospheric water.
  • To evaluate the impact of these modifications on atmospheric reanalysis data.

Main Methods:

  • Incorporated water sources and sinks into the atmospheric model's continuity equation.
  • Imposed constraints in the analysis procedure to minimize dry-air mass increments.
  • Adapted the Incremental Analysis Update (IAU) procedure to accommodate the modifications.

Main Results:

  • The modified GEOS-ADAS demonstrates improved conservation of atmospheric dry-air mass.
  • Water budget closure is enhanced, with net water sources balancing changes in total atmospheric water.
  • Evaluation in free-running and assimilation experiments confirms the effectiveness of the changes.

Conclusions:

  • The implemented modifications significantly improve the physical consistency of the GEOS-ADAS.
  • These enhancements are vital for producing high-quality, reliable climate reanalysis datasets like MERRA-2.
  • The study provides a foundation for future advancements in atmospheric data assimilation systems.