Assimilation of SMAP and ASCAT soil moisture retrievals into the JULES land surface model using the Local Ensemble Transform Kalman Filter
Author:
Funder
Korea Meteorological Administration
Publisher
Elsevier BV
Subject
Computers in Earth Sciences,Geology,Soil Science
Reference64 articles.
1. Evaluation of remotely sensed and modelled soil moisture products using global ground-based in situ observations;Albergel;Remote Sens. Environ.,2012
2. Assessment and inter-comparison of recently developed/reprocessed microwave satellite soil moisture products using ISMN ground-based measurements;Al-Yaari;Remote Sens. Environ.,2019
3. GSMaP passive microwave precipitation retrieval algorithm: algorithm description and validation;Aonashi;J. Meteorol. Soc. Jpn. Ser. II,2009
4. Relative efficiency of land surface energy balance components;Bateni;Water Resour. Res.,2012
5. US climate reference network soil moisture and temperature observations;Bell;J. Hydrometeorol.,2013
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