Analyzing Machine Learning Predictions of Passive Microwave Brightness Temperature Spectral Difference Over Snow-Covered Terrain in High Mountain Asia

Analyzing Machine Learning Predictions of Passive Microwave Brightness Temperature Spectral Difference Over Snow-Covered Terrain in High Mountain Asia

Snow is an important component of the terrestrial freshwater budget in high mountain Asia (HMA) and contributes to the runoff in Himalayan rivers through snowmelt. Despite the importance of snow in HMA, considerable spatiotemporal uncertainty exists across the different estimates of snow water equiv...

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Bibliographic Details
Main Authors: Jawairia A. Ahmad, Barton A. Forman, Yonghwan Kwon
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-08-01
Series:Frontiers in Earth Science
Subjects:
sensitivity analysis
support vector machine
brightness temperature
land surface model
high mountain Asia
Online Access:https://www.frontiersin.org/article/10.3389/feart.2019.00212/full

Internet

https://www.frontiersin.org/article/10.3389/feart.2019.00212/full

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