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Implementation of a Discrete Dipole Approximation Scattering Database into Community Radiative Transfer Model The Community Radiative Transfer Model (CRTM) is a fast model that requires bulk optical properties of hydrometeors in the form of lookup tables to simulate all-sky satellite radiances. Current cloud scattering lookup tables of CRTM were generated using the Mie-Lorenz theory thus assuming spherical shapes for all frozen habits, while actual clouds contain frozen hydrometeors with different shapes. The Discrete Dipole Approximation (DDA) technique is an effective technique for simulating the optical properties of non-spherical hydrometeors in the microwave region. This paper discusses the implementation and validation of a comprehensive DDA cloud scattering database into CRTM for the microwave frequencies. The original DDA database assumes total random orientation in the calculation of single scattering properties. The mass scattering parameters required by CRTM were then computed from single scattering properties and water content dependent particle size distributions. The new lookup tables eliminate the requirement for providing the effective radius as input to CRTM by using the cloud water content for the mass dimension. A collocated dataset of short-term forecasts from Integrated Forecast System of the European Centre for Medium-Range Weather Forecasts and satellite microwave data was used for the evaluation of results. The results overall showed that the DDA lookup tables, in comparison with the Mie tables, greatly reduce the differences among simulated and observed values. The Mie lookup tables especially introduce excessive scattering for the channels operating below 90 GHz and low scattering for the channels above 90 GHz.
Document ID
20220006292
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Isaac Moradi ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Patrick Stegmann
(University Corporation for Atmospheric Research Boulder, Colorado, United States)
Benjamin Johnson ORCID
(University Corporation for Atmospheric Research Boulder, Colorado, United States)
Vasileios Barlakas
(Chalmers University of Technology Gothenburg, Sweden)
Patrick Eriksson ORCID
(Chalmers University of Technology Gothenburg, Sweden)
Alan Geer ORCID
(European Centre for Medium-Range Weather Forecasts Reading, United Kingdom)
Ronald Gelaro
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Satya Kalluri
(NOAA Joint Polar Satellite System Program Office Greenbelt, United States)
Daryl Kleist ORCID
(National Centers for Environmental Prediction College Park, Maryland, United States)
Quanhua Liu ORCID
(Center for Satellite Applications and Research College Park, Maryland, United States)
Will Mccarty
(National Aeronautics and Space Administration Washington D.C., District of Columbia, United States)
Date Acquired
April 25, 2022
Publication Date
December 7, 2022
Publication Information
Publication: Journal of Geophysical Research: Atmospheres
Publisher: American Geophysical Union
Volume: 127
Issue: 24
Issue Publication Date: December 27, 2022
ISSN: 2169-897X
e-ISSN: 2169-8996
Subject Category
Meteorology and Climatology
Funding Number(s)
WBS: 802678.02.80.01.01
CONTRACT_GRANT: NNX17AE79A
CONTRACT_GRANT: NOAA-JPSS
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
Professional Review
Keywords
Discrete dipole
Radiative transfer model
CRTM
DDA
ERA5
Radiative transfer
Discrete dipole approximation
Mie scattering
Cloud scattering
Data assimilation
Microwave instruments
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