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An optimal interpolation scheme for surface and atmospheric parameters: applications to SEVIRI and IASI
Author(s): Italia De Feis; Guido Masiello; Carmine Serio
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Paper Abstract

In this paper, we present a 2-Dimensional (2D) Optimal Interpolation (OI) technique for spatially scattered infrared satellite observations, from which level 2 products have been obtained, in order to yield level 3, regularly gridded, data. The scheme derives from a Bayesian predictor-corrector scheme used in data assimilation and is based on the Kalman filter estimation. It has been applied to 15-minutes temporal resolution Spinning Enhanced Visible and Infrared Imager (SEVIRI) emissivity and temperature products and to Infrared Atmospheric Sounding Interferometer (IASI) atmospheric ammonia (NH3) retrievals, a gas affecting the air quality. Results have been exemplified for target areas over Italy. In particular temperature retrievals have been compared with gridded data from MODIS (Moderate-resolution Imaging Spectroradiometer) observations. Our findings show that the proposed strategy is quite effective to fill gaps because of data voids due, e.g., to clouds, gains more efficiency in capturing the daily cycle for surface parameters and provides valuable information on NH3 concentration and variability in regions not yet covered by ground-based instruments.

Paper Details

Date Published: 9 October 2019
PDF: 15 pages
Proc. SPIE 11152, Remote Sensing of Clouds and the Atmosphere XXIV, 111520C (9 October 2019); doi: 10.1117/12.2534520
Show Author Affiliations
Italia De Feis, aIstituto per le Applicazioni del calcolo M. Picone, CNR (Italy)
Guido Masiello, Univ. degli Studi della Basilicata (Italy)
Carmine Serio, Univ. degli Studi della Basilicata (Italy)


Published in SPIE Proceedings Vol. 11152:
Remote Sensing of Clouds and the Atmosphere XXIV
Adolfo Comerón; Evgueni I. Kassianov; Klaus Schäfer; Richard H. Picard; Konradin Weber; Upendra N. Singh, Editor(s)

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