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...
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: | |
Online Access: | https://doi.org/10.1088/1748-9326/ab80ef |
Similar Items
-
Abnormal Change in Spring Snowmelt Over Eurasia and Its Linkage to the East Asian Summer Monsoon: The Hydrological Effect of Snow Cover
by: Bei Xu, et al.
Published: (2021-01-01) -
The associations of Tibetan Plateau spring snow cover with East Asian summer monsoon rainfall before and after 1990
by: René Reijer Wijngaard, et al.
Published: (2024-07-01) -
The Assessment of Hydrologic- and Flood-Induced Land Deformation in Data-Sparse Regions Using GRACE/GRACE-FO Data Assimilation
by: Natthachet Tangdamrongsub, et al.
Published: (2021-01-01) -
The evolutionary process of Cenozoic Asian monsoon
by: LIN Xu, et al.
Published: (2024-07-01) -
Strengthening effect of El Niño on the following spring Indian Ocean warming with implications for the seasonal prediction of the Asian summer monsoons
by: Zhiyuan Zhang, et al.
Published: (2023-01-01)