NASA Logo

NTRS

NTRS - NASA Technical Reports Server

Press Enter or click the Search button to begin your search.

Back to Results
Developing a Radar Signal Simulator for the Community Radiative Transfer ModelActive radar instruments provide vertically resolved clouds and precipitation measurements that cannot be provided by the passive instruments. These active measurements are not conventionally assimilated into the data assimilation systems because of the lack of fast forward radiative transfer models and also difficulties in the error modelling of the measurements. This paper describes the development, evaluation, and sensitivity analysis for a forward radar model implemented in the Community Radiative Transfer Model (CRTM). The scattering properties required by the forward model are provided by the hydrometeor lookup tables that were generated using the discrete dipole approximation. The model is able to calculate both the reflectivity and the attenuated reflectivity for any given radar instrument at any given zenith angles as long as CRTM instrument specific coefficients are available. The evaluation using CloudSat measurements shows a very good agreement between the simulations and measurements as long as the input profiles of hydrometeors are consistent with the measured reflectivity profiles. Major sources contributing to the differences between the measured and simulated reflectivities are input hydrometeor profiles, scattering lookup tables, lack of melting layer in the forward model, CRTM scattering solvers, and attenuation calculations. In addition to the forward model, both Tangent Linear and Adjoint of the model are also implemented and tested within CRTM. These components may be required by some data assimilation systems for the assimilation of radar measurements.
Document ID
20230016490
Acquisition Source
Goddard Space Flight Center
Document Type
Accepted Manuscript (Version with final changes)
Authors
Isaac Moradi ORCID
(University of Maryland University College Adelphi, Maryland, United States)
Benjamin Johnson
(University Corporation for Atmospheric Research Boulder, United States)
Patrick Stegmann ORCID
(University Corporation for Atmospheric Research Boulder, United States)
Daniel Holdaway
(Goddard Space Flight Center Greenbelt, United States)
Gerald Heymsfield ORCID
(Goddard Space Flight Center Greenbelt, United States)
Ronald Gelaro
(Goddard Space Flight Center Greenbelt, United States)
William McCarty
(National Aeronautics and Space Administration Washington, United States)
Date Acquired
November 13, 2023
Publication Date
November 6, 2023
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Publisher: Institute of Electrical and Electronics Engineers Inc.
Volume: 61
Issue Publication Date: November 6, 2023
ISSN: 0196-2892
e-ISSN: 1558-0644
Subject Category
Geosciences (General)
Earth Resources and Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80NSSC23M0011
CONTRACT_GRANT: 80NSSC21K1361
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
NASA Peer Committee
Keywords
radar
radiative transfer
CRTM
data assimilation
microwave
No Preview Available