Good afternoon, My name is Robin van der Schalie and I am currently the person in charge of running soil moisture retrievals based on passive microwave observations within the ESA Climate Change Initiative ( https://www.esa-soilmoisture-cci.org/).
In our never ending search for ways to further improve our soil moisture retrieval algorithm, which is based on the Land Parameter Retrieval Model, I would like to get a better handle on the atmospheric effects that alter the AMSR2 (and other historical mission) brightness temperatures from ground level. In essence, having more realistic Atmospheric Optical Depth values. This would be for multiple frequencies, i.e. L-band (1.4 GHz), C-band (6.9 GHz), X-band (10.7 GHz), Ku-band (18 GHz), K-band (23 GHz) and Ka-band (37 GHz). For this I am already preparing a database from reanalysis (ERA5) on the water vapor, atmospheric pressure, and air temperature as input for the calculation. >From going through the ARTS documentation it seems to me that this goal would be achievable using your package (especially the Typhon as we work with python). Is that a correct assumption? And if so, could you maybe provide me with some guidance on how to get started on this? Hope to hear from you soon, Robin van der Schalie ------------------------------------------------------------ -------------------------- *dr. Robin van der Schalie* // Senior Remote Sensing Scientist VanderSat // Satellite observed water data. Globally. Daily. Wilhelminastraat 43a, 2011 VK, Haarlem, The Netherlands *T* +31 23 3690093 *M* +31 6 81631591 *W* www.vandersat.com ------------------------------------------------------------ --------------------------
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