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

Full text not archived in this repository.

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

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

Altmetric Badge

Dimensions Badge

Item Type Article
URI https://reading-pure-test.eprints-hosting.org/id/eprint/76710
Identification Number/DOI 10.5194/hess-22-2575-2018
Refereed Yes
Divisions Central Services
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Download/View statistics View download statistics for this item
Full text not archived in this repository.
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Please see our End User Agreement.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

University Staff: Request a correction | Centaur Editors: Update this record