Improving Subsurface Soil Moisture Estimation Using a 2‐Dimensional Data Assimilation Framework Incorporated With a Dual State‐Parameter Scheme

Improving Subsurface Soil Moisture Estimation Using a 2‐Dimensional Data Assimilation Framework Incorporated With a Dual State‐Parameter Scheme

Abstract Accurate subsurface soil moisture (SM) estimation is critical for vegetation growth, drought monitoring, and climate change mitigation, yet remains a significant challenge. Previous data assimilation (DA) approaches are limited to only surface SM assimilation. In this study, we utilized the...

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Bibliographic Details
Main Authors: Dehai Liao, Jun Niu, Taisheng Du, Shaozhong Kang
Format: Article
Language:English
Published: Wiley 2024-08-01
Series:Water Resources Research
Subjects:
data assimilation
subsurface soil moisture
exponential filter
dual state‐parameter
surface‐subsurface coupling
2‐dimensional DA
Online Access:https://doi.org/10.1029/2023WR035771
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https://doi.org/10.1029/2023WR035771

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