Dear Stefan, Thank you for the quick response, much appreciated. I'll move forwards with installing the package and try to play around with the suggested exercise. To be sure of correctly applying ARTS for this specific problem, it would be great if someone can support us on this matter.
I see a positive impact for both the temperature input used for the soil moisture retrievals (based on the 37 GHz) and the soil moisture retrievals from higher frequencies (e.g. SSMI 18GHz) within the climate data record. If this would be successfully implemented within the current algorithm (the Land Parameter Retrieval Model), I see no problem in involving you in the publication(s) that follow and I expect it will have a good outreach through the CCI SM project. Let me know if you recommend someone that I could contact or if you prefer to be involved yourself. Kind regards, 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 ------------------------------------------------------------ -------------------------- Op do 16 apr. 2020 om 10:30 schreef Stefan Buehler < stefan.bueh...@uni-hamburg.de>: > Dear Robin, > > yes, ARTS should be well suited for this. There even already is a python > classroom exercise with a setup for computing and displaying optical > depth. (On github, in package atmtools/arts-lectures, directory > exercises/04-rtcalc .) What you may need some advice on is which > absorption models to actually use (ARTS offers a lot of choices, I > don’t remember if the ones in the exercise are the best for a real > application). > > ARTS is free to use, the best reward for us is involvement in scientific > publications. So, depending on how much support you will need, we would > expect the person(s) that helped you to be included in the first > publication on this. > > Best wishes, > > Stefan > > On 15 Apr 2020, at 13:05, Robin van der Schalie wrote: > > > 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 > > ------------------------------------------------------------ > > -------------------------- > > _______________________________________________ > > arts_users.mi mailing list > > arts_users.mi@lists.uni-hamburg.de > > https://mailman.rrz.uni-hamburg.de/mailman/listinfo/arts_users.mi >
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