Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model

Pinnington, E., Quaife, T. ORCID: https://orcid.org/0000-0001-6896-4613 and Black, E. ORCID: https://orcid.org/0000-0003-1344-6186 (2018) Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model. Hydrology and Earth System Sciences, 22 (4). pp. 2575-2588. ISSN 1027-5606 doi: 10.5194/hess-22-2575-2018

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/76710
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO) Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Copernicus
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