The Community Radiative Transfer Model (CRTM): Community-Focused Collaborative Model Development Accelerating Research to Operations

Author:

Johnson Benjamin T.1,Dang Cheng1,Stegmann Patrick1,Liu Quanhua2,Moradi Isaac3,Auligne Thomas1

Affiliation:

1. Joint Center for Satellite Data Assimilation, University Corporation for Atmospheric Research, Boulder, Colorado;

2. National Oceanic and Atmospheric Administration/Center for Satellite Applications and Research, College Park, Maryland;

3. Earth System Science Interdisciplinary Center, University of Maryland, and National Aeronautics and Space Administration Global Modeling and Assimilation Office, Greenbelt, Maryland

Abstract

Abstract The Joint Center for Satellite Data Assimilation (JCSDA) Community Radiative Transfer Model (CRTM) is a fast, 1D radiative transfer model used in numerical weather prediction, calibration/validation, etc., across multiple federal agencies and universities. The key benefit of the CRTM is that it is a satellite simulator. It provides a highly accurate representation of satellite radiances by using the specific sensor response functions convolved with a Line-by-Line Radiative Transfer Model (LBLRTM). CRTM covers the spectral ranges consistent with all present operational and most research satellites, from visible to microwave. The capability to simulate ultraviolet radiances and support space-based radar sensors is being added over the next 2 years in CRTM version 3.0. In addition to simulated radiances, the CRTM also provides Jacobian outputs needed to interpret satellite observations for numerical weather prediction. The Jacobian estimates how changes in geophysical parameters affect simulated measurements from satellite sensors. Using the Jacobian in modeling and weather prediction improves the accuracy and efficiency of data analysis, leading to better weather predictions. The CRTM model’s success and growth depend on community contributions and evaluation. To facilitate this, we have made the CRTM highly accessible through modular programming, clear documentation and tutorials, public domain licensing, unfettered public access via GitHub, and a clear path to operational implementation for innovative research. We encourage and welcome contributions from the community to help us continue to improve the CRTM.

Publisher

American Meteorological Society

Subject

Atmospheric Science

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