Community Radiative Transfer Model: Difference between revisions

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The '''Community Radiative Transfer Model ''' ('''CRTM''') is a fast [[atmospheric radiative transfer codes|radiative transfer]] model for calculations of radiances for satellite infrared or microwave radiometers.

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CRTM contains [[forward radiative transfer model|forward]], [[tangent linear radiative transfer model|tangent linear]], [[adjoint radiative transfer model|adjoint]] and K (full Jacobian matrices) versions of the model; the latter three modules are used in [[Inverse_problem|inversion methods]], including variational assimilation and satellite retrievals.

The CRTM model is used primarily in numerical weather prediction codes employed by NOAA and NASA, and is developed and maintained through the Joint Center for Satellite Data Assimilation (JCSDA).<ref>Johnson, B.T., Dang, C., Stegmann, P., Liu, Q., Moradi, I. and Auligne, T., 2023. The Community Radiative Transfer Model (CRTM): Community-focused collaborative model development accelerating research to operations. Bulletin of the American Meteorological Society, 104(10), pp.E1817-E1830.</ref> Its primary function is to relate changes in satellite-based observations to changes in the model physical state. This capability is essential to the use of satellite observations in data assimilation methodologies. One of several applications of CRTM are retrievals of brightness temperature and [[sea surface temperature]] from [[Advanced Very High Resolution Radiometer]] sensor, among many other infrared and microwave sensors.

== See also ==

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== References ==

{{Reflist}}

* Chen Y, F. Weng, Y. Han, and Q. Liu, 2008: Validation of the community radiative transfer model (CRTM) by using CloudSat Data. J. Geophys.Res., 113(D8), 2156–2202.

* Ding, Shouguo, Ping Yang, Fuzhong Weng, Quanhua Liu, Yong Han, Paul Van Delst, Jun Li, and Bryan Baum, 2011: Validation of the community radiative transfer model. Journal of Quantitative Spectroscopy and Radiative Transfer 112 (6): 1050–1064.

* Wei, S. W., Lu, C. H., Johnson, B. T., Dang, C., Stegmann, P., Grogan, D., ... & Hu, M. (2022). The influence of aerosols on satellite infrared radiance simulations and Jacobians: Numerical experiments of CRTM and GSI. Remote Sensing, 14(3), 683.

Wei, S. W., Lu, C. H., Johnson, B. T., Dang, C., Stegmann, P., Grogan, D., ... & Hu, M. (2022). The influence of aerosols on satellite infrared radiance simulations and Jacobians: Numerical experiments of CRTM and GSI. Remote Sensing, 14(3), 683.

== External links ==

* [https://www.jcsda.noaa.gov/projects_crtm.php JCSDA Projects - Community Radiative Transfer Model] {{Webarchive|url=https://web.archive.org/web/20180802040917/https://www.jcsda.noaa.gov/projects_crtm.php |date=2 August 2018 }}

* [http://www.star.nesdis.noaa.gov/sod/sst/micros MICROS] {{Webarchive|url=https://web.archive.org/web/20160305102039/http://www.star.nesdis.noaa.gov/sod/sst/micros/ |date=5 March 2016 }}, Monitoring of IR Clear-sky Radiances over Oceans for SST