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Remote Sens. 2011, 3(1), 145-166; doi:10.3390/rs3010145
Review

Detection and Measurement of Snowfall from Space

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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)
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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 snow; passive microwave; radar; satellite; water cycle
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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 Style

Levizzani V, Laviola S, Cattani E. Detection and Measurement of Snowfall from Space. Remote Sensing. 2011; 3(1):145-166.

Chicago/Turabian Style

Levizzani, Vincenzo; Laviola, Sante; Cattani, Elsa. 2011. "Detection and Measurement of Snowfall from Space." Remote Sens. 3, no. 1: 145-166.


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