NDSA (Normalized Differential Spectral Absorption) was proposed as a differential attenuation measurement method to estimate the total content of water vapor (IWV, Integrated Water Vapor) along a tropospheric propagation path between two Low Earth Orbit (LEO) satellites during a relative occultation event. The NDSA approach is based on the estimate of a “spectral sensitivity parameter” that can be directly converted into IWV through empirical relationships In this paper we present the multi-band approach to convert the five simultaneous Ku, K and M spectral sensitivity measurements (17, 19, 21, 179 and 182 GHz) into an integrated water vapor profile up to 14 km tangent altitude. The algorithm is based on the estimate of the SNR (Signal to Noise Ratio) at the receiver, so as to exploit adaptively at every tangent altitude the optimal channel, based on actual signal conditions.

Multi-band NDSA measurements between two counter-rotating LEO satellites for estimating the tropospheric water vapor profile / Fabrizio Cuccoli;Luca Facheris. - (2010), pp. 2968-2971. (Intervento presentato al convegno 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) tenutosi a Honolulu nel 25-30/7/2010) [10.1109/IGARSS.2010.5649261].

Multi-band NDSA measurements between two counter-rotating LEO satellites for estimating the tropospheric water vapor profile

CUCCOLI, FABRIZIO;FACHERIS, LUCA
2010

Abstract

NDSA (Normalized Differential Spectral Absorption) was proposed as a differential attenuation measurement method to estimate the total content of water vapor (IWV, Integrated Water Vapor) along a tropospheric propagation path between two Low Earth Orbit (LEO) satellites during a relative occultation event. The NDSA approach is based on the estimate of a “spectral sensitivity parameter” that can be directly converted into IWV through empirical relationships In this paper we present the multi-band approach to convert the five simultaneous Ku, K and M spectral sensitivity measurements (17, 19, 21, 179 and 182 GHz) into an integrated water vapor profile up to 14 km tangent altitude. The algorithm is based on the estimate of the SNR (Signal to Noise Ratio) at the receiver, so as to exploit adaptively at every tangent altitude the optimal channel, based on actual signal conditions.
2010
2010 IEEE International Geoscience and Remote Sensing Symposium
2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Honolulu
25-30/7/2010
Fabrizio Cuccoli;Luca Facheris
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/878524
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