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

by E. Pinnington, E. Pinnington, T. Quaife, T. Quaife, E. Black, E. Black
Published 2018-04-01

The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0

by E. Pinnington, T. Quaife, T. Quaife, A. Lawless, A. Lawless, K. Williams, T. Arkebauer, D. Scoby
Published 2020-01-01

Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations

by E. Cooper, E. Blyth, H. Cooper, R. Ellis, E. Pinnington, S. J. Dadson, S. J. Dadson
Published 2021-05-01

TAMSAT-ALERT v1: a new framework for agricultural decision support

by D. Asfaw, E. Black, M. Brown, K. J. Nicklin, F. Otu-Larbi, E. Pinnington, A. Challinor, R. Maidment, T. Quaife
Published 2018-06-01

Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data

by E. Pinnington, J. Amezcua, E. Cooper, S. Dadson, S. Dadson, R. Ellis, J. Peng, J. Peng, E. Robinson, R. Morrison, S. Osborne, T. Quaife
Published 2021-03-01