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Assessment of Retrieved GMI Emissivity over Land, Snow, and Sea Ice in the GEOS System

Assessment of Retrieved GMI Emissivity over Land, Snow, and Sea Ice in the GEOS System AbstractDirectly assimilating microwave radiances over land, snow, and sea ice remains a significant challenge for data assimilation systems. These data assimilation systems are critical to the success of global numerical weather prediction systems including the Global Earth Observing System–Atmospheric Data Assimilation System (GEOS-ADAS). Extending more surface sensitive microwave channels over land, snow, and ice could provide a needed source of data for numerical weather prediction particularly in the planetary boundary layer (PBL). Unfortunately, the accuracy of emissivity models currently available within the GEOS-ADAS along with other data assimilation systems are insufficient to simulate and assimilate radiances. Recently, Munchak et al. published a 5-yr climatological database for retrieved microwave emissivity from the Global Precipitation Measurement (GPM) Microwave Imager (GMI) aboard the GPM mission. In this work the database is utilized by modifying the GEOS-ADAS to use this emissivity database in place of the default emissivity value available in the Community Radiative Transfer Model (CRTM), which is the fast radiative transfer model used by the GEOS-ADAS. As a first step, the GEOS-ADAS is run in a so-called stand-alone mode to simulate radiances from GMI using the default CRTM emissivity, and replacing the default CRTM emissivity models with values from Munchak et al. The simulated GMI observations using Munchak et al. agree more closely with observations from GMI. These results are presented along with a discussion of the implication for GMI observations within the GEOS-ADAS. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Atmospheric and Oceanic Technology American Meteorological Society

Assessment of Retrieved GMI Emissivity over Land, Snow, and Sea Ice in the GEOS System

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Publisher
American Meteorological Society
Copyright
Copyright © American Meteorological Society
ISSN
1520-0426
eISSN
1520-0426
DOI
10.1175/jtech-d-21-0187.1
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Abstract

AbstractDirectly assimilating microwave radiances over land, snow, and sea ice remains a significant challenge for data assimilation systems. These data assimilation systems are critical to the success of global numerical weather prediction systems including the Global Earth Observing System–Atmospheric Data Assimilation System (GEOS-ADAS). Extending more surface sensitive microwave channels over land, snow, and ice could provide a needed source of data for numerical weather prediction particularly in the planetary boundary layer (PBL). Unfortunately, the accuracy of emissivity models currently available within the GEOS-ADAS along with other data assimilation systems are insufficient to simulate and assimilate radiances. Recently, Munchak et al. published a 5-yr climatological database for retrieved microwave emissivity from the Global Precipitation Measurement (GPM) Microwave Imager (GMI) aboard the GPM mission. In this work the database is utilized by modifying the GEOS-ADAS to use this emissivity database in place of the default emissivity value available in the Community Radiative Transfer Model (CRTM), which is the fast radiative transfer model used by the GEOS-ADAS. As a first step, the GEOS-ADAS is run in a so-called stand-alone mode to simulate radiances from GMI using the default CRTM emissivity, and replacing the default CRTM emissivity models with values from Munchak et al. The simulated GMI observations using Munchak et al. agree more closely with observations from GMI. These results are presented along with a discussion of the implication for GMI observations within the GEOS-ADAS.

Journal

Journal of Atmospheric and Oceanic Technology – American Meteorological Society

Published: Oct 23, 2022

References

  • Assimilation of SSMIS humidity-sounding channels in all-sky conditions over land using a dynamic emissivity retrieval
    Baordo, F.; Geer, A. J.
  • Modeling land surface roughness effect on soil microwave emission in Community Surface Emissivity Model
    Chen, M.; Weng, F.
  • Validation of the Community Radiative Transfer Model by using CloudSat data
    Chen, Y.; Weng, F.; Han, Y.; Liu, Q.
  • The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system
    Donlon, C. J.; Martin, M.; Stark, J.; Roberts-Jones, J.; Fiedler, E.; Wimmer, W.
  • The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2)
    Gelaro, R.
  • JCSDA Community Radiative Transfer Model (CRTM)-version 1
    Han, Y.; van Delst, P.; Liu, Q.; Weng, F.; Yan, B.; Treadon, R.; Derber, J.
  • The framework for assimilating all-sky GPM microwave imager brightness temperature data in the NASA GEOS data assimilation system
    Kim, M. J.; Jin, J.; Akkraoui, A. E. L.; McCarty, W.; Todling, R.; Wei, G. U.; Gelaro, R.
  • A catchment-based approach to modeling land surface processes in a general circulation model 1. Model structure
    Koster, R. D.; Suarez, M. J.; Ducharne, A.; Stieglitz, M.; Kumar, P.
  • GCOM-W1 AMSR2 level 1R product: Dataset of brightness temperature modified using the antenna pattern matching technique
    Maeda, T.; Taniguchi, Y.; Imaoka, K.
  • Passive microwave signatures of landscapes in winter
    Mätzler, C.
  • An active–passive microwave land surface database from GPM
    Munchak, S. J.; Ringerud, S.; Brucker, L.; You, Y.; de Gelis, I.; Prigent, C.
  • Field-of-view characteristics and resolution matching for the Global Precipitation Measurement (GPM) Microwave Imager (GMI)
    Petty, G. W.; Bennartz, R.
  • RTTOV-13 science and validation report
    Saunders, R.
  • The Global Precipitation Measurement (GPM) mission for science and society
    Skofronick-Jackson, G.
  • The impact of detailed snow physics on the simulation of snow cover and subsurface thermodynamics at continental scales
    Stieglitz, M.; Ducharne, A.; Koster, R.; Suarez, M.
  • The GMAO Hybrid Ensemble-Variational Atmospheric Data Assimilation System: Version 2.0
    Todling, R.; El Akkraoui, A.
  • Surface emissivity at microwaves to millimeter waves over polar regions: Parameterization and evaluation with aircraft experiments
    Wang, D.
  • A microwave land emissivity model
    Weng, F.; Yan, B.; Grody, N. C.
  • Improving the use of surface-sensitive radiances in the GMAO GEOS system
    Zhu, Y.; Todling, R.; Jin, J.