Novel Soil Moisture Estimates Combining the Ensemble Kalman Filter Data Assimilation and the Method of Breeding Growing Modes

Novel Soil Moisture Estimates Combining the Ensemble Kalman Filter Data Assimilation and the Method of Breeding Growing Modes

Soil moisture plays an important role in climate prediction and drought monitoring. Data assimilation, as a method of integrating multi-geographic spatial data, plays an increasingly important role in estimating soil moisture. Model prediction error, an important part of the background field informa...

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Bibliographic Details
Main Authors: Yize Li, Hong Shu, B. G. Mousa, Zhenhang Jiao
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
soil moisture
data assimilation
breeding of growing modes
ensemble kalman filter
Online Access:https://www.mdpi.com/2072-4292/12/5/889

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