Detection and Measurement of Snowfall from Space

Remote Sensing

Vincenzo Levizzani¹  Sante Laviola² 

[1] National Research Council of Italy, Institute of Atmospheric Sciences and Climate (CNR-ISAC), via Gobetti 101, Bologna, Italy;

关键词: snow;    passive microwave;    radar;    satellite;    water cycle;   

DOI  :  10.3390/rs3010145

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.