In this paper the main objectives of the ESA-ANISAP study are summarized and the first results are presented. The existing end-to-end software simulation tool developed for a couple of counter-rotating Low Earth Orbiting (LEO) satellites has been upgraded and utilized for this work. The Integrated Water Vapor (IWV) - Spectral Sensitivity (SS) and the Integrated Liquid Water (ILW) - SS relationships are shown assuming the acquisition of IWV and ILW at 3,6, and 9 km tangent altitude jointly with that of SS at 17, 19, 21 and 32 GHz. Such relationships are obtained for a global set of atmospheric vertical profiles, in order to compute the regression coefficients of the IWV-SS and ILW-SS relationships based on a linear least squares fit.

Anisap project-analysis of normalised differential spectral attenuation technique for inter-satellite atmospheric profiling / Fabrizio Cuccoli; Luca Facheris. - ELETTRONICO. - (2012), pp. 2466-2469. (Intervento presentato al convegno IEEE Geoscience and Remote Sensing Symposium 2012 tenutosi a Monaco di Baviera nel 22-27/7/2012).

Anisap project-analysis of normalised differential spectral attenuation technique for inter-satellite atmospheric profiling

CUCCOLI, FABRIZIO;FACHERIS, LUCA
2012

Abstract

In this paper the main objectives of the ESA-ANISAP study are summarized and the first results are presented. The existing end-to-end software simulation tool developed for a couple of counter-rotating Low Earth Orbiting (LEO) satellites has been upgraded and utilized for this work. The Integrated Water Vapor (IWV) - Spectral Sensitivity (SS) and the Integrated Liquid Water (ILW) - SS relationships are shown assuming the acquisition of IWV and ILW at 3,6, and 9 km tangent altitude jointly with that of SS at 17, 19, 21 and 32 GHz. Such relationships are obtained for a global set of atmospheric vertical profiles, in order to compute the regression coefficients of the IWV-SS and ILW-SS relationships based on a linear least squares fit.
2012
Proceedings IEEE Geoscience and Remote Sensing Symposium 2012
IEEE Geoscience and Remote Sensing Symposium 2012
Monaco di Baviera
22-27/7/2012
Fabrizio Cuccoli; Luca Facheris
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/776855
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact