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Remote Sens. 2011, 3(1), 145-166; doi:10.3390/rs3010145
Review
Detection and Measurement of Snowfall from Space
National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), via Gobetti 101, Bologna, Italy
* Author to whom correspondence should be addressed.
Received: 21 November 2010; in revised form: 5 January 2011 / Accepted: 5 January 2011 / Published: 11 January 2011
(This article belongs to the Special Issue Atmospheric Remote Sensing)
The original version is still available [703 KB, uploaded 11 January 2011 13:51 CET]
Abstract: Snowfall detection and measurement represent highly difficult problems in modern hydrometeorology. Ground measurements are complicated due to detection technology limitations, snow drift and accumulation issues, and error definition. The snowfall detection from space is in turn affected by all detection limitations that characterize the measurement of rainfall with the addition of several complications, such as the indirect character of remote sensing precipitation estimation, the presence of frozen or snow-covered terrain, and the unknown vertical distribution of hydrometeors in the cloud column. Several methods for the retrieval of snowfall intensity from satellite have been proposed in recent times using passive and active sensors. No satisfactory answer to the general problem of quantitative snowfall intensity determination has been found to date, but several studies contribute to delineate a working framework for the future operational retrieval algorithms.
Keywords: snow; passive microwave; radar; satellite; water cycle
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MDPI and ACS Style
Levizzani, V.; Laviola, S.; Cattani, E. Detection and Measurement of Snowfall from Space. Remote Sens. 2011, 3, 145-166.
AMA StyleLevizzani V, Laviola S, Cattani E. Detection and Measurement of Snowfall from Space. Remote Sensing. 2011; 3(1):145-166.
Chicago/Turabian StyleLevizzani, Vincenzo; Laviola, Sante; Cattani, Elsa. 2011. "Detection and Measurement of Snowfall from Space." Remote Sens. 3, no. 1: 145-166.
Remote Sens.
EISSN 2072-4292
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