JCSDA Community Radiative Transfer Model (CRTM) : version 1
By Fuzhong Weng, Yong Han, P. V. Delst, Q. Liu, T. Kleespies, B. Yan, J. Marshall. 2006
283 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/f7b09284dd8853dbbc41a283de68fa9e9847d879
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Citations in the corpus
- The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2). (2017, methodology): “APPENDIX Acronyms 3DVAR Three-dimensional variational data assimilation 4DENVAR Four-dimensional ensemble–variational data assimilation AAOD Aerosol absorption optical depth ACARS Aircraft Communications, Addressing, and Reporting System AeroCom Aerosol Comparison Project AERONET Aerosol Robotics Ne”
- Comparing radiosonde and COSMIC atmospheric profile data to quantify differences among radiosonde types and the effects of imperfect collocation on comparison statistics (2010, methodology): “…type characteristics identified using COSMIC data, observations of radiances, from polar‐orbiting satellites, are compared with radiances calculated from collocated raobs using the Community Radiative Transfer Model (CRTM) [Han et al., 2006] We assess collocation mismatch impacts as follows.”
- Introduction of the GSI into the NCEP Global Data Assimilation System (2009, methodology): “However, many other factors contributed to differences when including the entire observational dataset because of enhancements within the GSI, including improved quality control and observational data handling, and an improved minimization algorithm, as well as better forward models such as an updat”