The high temporal resolution of the data acquisition by geostationary satellites and their capability to resolve the diurnal cycle are a precious source of information which could be suitably used to retrieve geophysical parameters. Currently this information is for the most part considered as uncorrelated, both in space and time: each pixel is treated independently from its neighbors and the present events are not linked to past or future ones. In this paper we develop a Kalman filter approach to apply spatial and temporal constraints to estimate the geophysical parameters from radiance measurements made from geostationary platforms. We apply the new strategy to a particular case study, i.e. the retrieval of emissivity and surface temperature from SEVIRI (Spinning Enhanced Visible and InfraRed Imager) observations over a target area encompassing the Iberian Peninsula and Northwestern Africa. The retrievals are then compared with in situ data, and other similar satellite products.

Kalman filter physical retrieval of geophysical parameters from high temporal resolution geostationary infrared radiances: the case of surface emissivity and temperature

MASIELLO, Guido;SERIO, Carmine;VENAFRA, SARA;
2013

Abstract

The high temporal resolution of the data acquisition by geostationary satellites and their capability to resolve the diurnal cycle are a precious source of information which could be suitably used to retrieve geophysical parameters. Currently this information is for the most part considered as uncorrelated, both in space and time: each pixel is treated independently from its neighbors and the present events are not linked to past or future ones. In this paper we develop a Kalman filter approach to apply spatial and temporal constraints to estimate the geophysical parameters from radiance measurements made from geostationary platforms. We apply the new strategy to a particular case study, i.e. the retrieval of emissivity and surface temperature from SEVIRI (Spinning Enhanced Visible and InfraRed Imager) observations over a target area encompassing the Iberian Peninsula and Northwestern Africa. The retrievals are then compared with in situ data, and other similar satellite products.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11563/53840
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