Open AccessIrrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system
Author(s) -
Yonghwan Kwon,
Sujay V. Kumar,
Mahdi Navari,
David M. Mocko,
Eric M. Kemp,
Jerry Wegiel,
J. Geiger,
Rajat Bindlish
Publication year - 2022
Publication title -
environmental research letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.37
H-Index - 124
ISSN - 1748-9326
DOI - 10.1088/1748-9326/ac7f49
Subject(s) - data assimilation , environmental science , water content , irrigation , anomaly (physics) , assimilation (phonology) , remote sensing , moisture , soil science , agricultural engineering , meteorology , agronomy , geology , geography , physics , geotechnical engineering , engineering , condensed matter physics , biology , linguistics , philosophy