Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system

Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system

Prior soil moisture data assimilation (DA) efforts to incorporate human management features such as agricultural irrigation has only shown limited success. This is partly due to the fact that observational rescaling approaches for bias correction used in soil moisture DA systems are less effective w...

Full description

Bibliographic Details
Main Authors: Yonghwan Kwon, Sujay V Kumar, Mahdi Navari, David M Mocko, Eric M Kemp, Jerry W Wegiel, James V Geiger, Rajat Bindlish
Format: Article
Language:English
Published: IOP Publishing 2022-01-01
Series:Environmental Research Letters
Subjects:
soil moisture
irrigation
data assimilation
anomaly correction
cumulative distribution function (CDF) matching
Land Information System (LIS)
Online Access:https://doi.org/10.1088/1748-9326/ac7f49

Internet

https://doi.org/10.1088/1748-9326/ac7f49

Similar Items