This paper illustrates the first results of the analysis carried out to check the possibility to provide an estimate of the Integrated Liquid Water (ILW) content along a microwave link established between the multifrequency transmitter and the receiver on board a couple of Low Earth Orbiting (LEO) satellites. The ILW estimate is provided through the power ratio of the received signals at 32 and 17 GHz. The results have been obtained using a simulation tool developed for LEO satellites orbiting in the same plane and along the same angular direction (co-rotating satellites), assuming some high-resolution atmospheric scenarios generated by using the WRF (Weather Research and Forecasting) numerical weather prediction model.

Power spectral ratio for estimating the liquid water content between two corotating LEO satellites / Cuccoli F.; Facheris L.; Argenti F.; Mazzinghi A.; Antonini A.; Rovai L.. - ELETTRONICO. - 2021-:(2021), pp. 7228-7231. (Intervento presentato al convegno 2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021 tenutosi a Brussels, Belgium nel 11-16 July 2021) [10.1109/IGARSS47720.2021.9553807].

Power spectral ratio for estimating the liquid water content between two corotating LEO satellites

Cuccoli F.;Facheris L.;Argenti F.;Mazzinghi A.;
2021

Abstract

This paper illustrates the first results of the analysis carried out to check the possibility to provide an estimate of the Integrated Liquid Water (ILW) content along a microwave link established between the multifrequency transmitter and the receiver on board a couple of Low Earth Orbiting (LEO) satellites. The ILW estimate is provided through the power ratio of the received signals at 32 and 17 GHz. The results have been obtained using a simulation tool developed for LEO satellites orbiting in the same plane and along the same angular direction (co-rotating satellites), assuming some high-resolution atmospheric scenarios generated by using the WRF (Weather Research and Forecasting) numerical weather prediction model.
2021
International Geoscience and Remote Sensing Symposium (IGARSS)
2021 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021
Brussels, Belgium
11-16 July 2021
Cuccoli F.; Facheris L.; Argenti F.; Mazzinghi A.; Antonini A.; Rovai L.
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1264951
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