Assimilating multi-satellite snow data in ungauged Eurasia improves the simulation accuracy of Asian monsoon seasonal anomalies

Assimilating multi-satellite snow data in ungauged Eurasia improves the simulation accuracy of Asian monsoon seasonal anomalies

Properly initializing land snow conditions with multi-satellite data assimilation (DA) may help tackle the long-standing challenge of Asian monsoon seasonal forecasts. However, to what extent can snow DA help resolve the problem remains largely unexplored. Here we establish, for the first time, that...

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Bibliographic Details
Main Authors: Peirong Lin, Zong-Liang Yang, Jiangfeng Wei, Robert E Dickinson, Yongfei Zhang, Long Zhao
Format: Article
Language:English
Published: IOP Publishing 2020-01-01
Series:Environmental Research Letters
Subjects:
Asian monsoon
dynamical seasonal forecast
multi-satellite snow data assimilation
GRACE
MODIS
Online Access:https://doi.org/10.1088/1748-9326/ab80ef

Internet

https://doi.org/10.1088/1748-9326/ab80ef

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