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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
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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Cite This Article
MDPI and ACS Style
Levizzani, V.; Laviola, S.; Cattani, E. Detection and Measurement of Snowfall from Space. Remote Sens. 2011, 3, 145-166.
Levizzani V, Laviola S, Cattani E. Detection and Measurement of Snowfall from Space. Remote Sensing. 2011; 3(1):145-166.
Levizzani, Vincenzo; Laviola, Sante; Cattani, Elsa. 2011. "Detection and Measurement of Snowfall from Space." Remote Sens. 3, no. 1: 145-166.