| Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain J Peng, M Tanguy, EL Robinson, E Pinnington, J Evans, R Ellis, E Cooper, ... Remote Sensing of Environment 264, 112610, 2021 | 47 | 2021 |
| Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model E Pinnington, T Quaife, E Black Hydrology and Earth System Sciences 22 (4), 2575-2588, 2018 | 42 | 2018 |
| Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E Pinnington, J Amezcua, E Cooper, S Dadson, R Ellis, J Peng, ... Hydrology and Earth System Sciences 25 (3), 1617-1641, 2021 | 39 | 2021 |
| Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation EM Pinnington, E Casella, SL Dance, AS Lawless, JIL Morison, ... Agricultural and Forest Meteorology 228, 299-314, 2016 | 34 | 2016 |
| Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions EM Pinnington, E Casella, SL Dance, AS Lawless, JIL Morison, ... Journal of Geophysical Research: Biogeosciences 122 (4), 886-902, 2017 | 24 | 2017 |
| TAMSAT-ALERT v1: a new framework for agricultural decision support D Asfaw, E Black, M Brown, KJ Nicklin, F Otu-Larbi, E Pinnington, ... Geoscientific Model Development 11 (6), 2353-2371, 2018 | 23 | 2018 |
| Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations E Cooper, E Blyth, H Cooper, R Ellis, E Pinnington, SJ Dadson Hydrology and Earth System Sciences 25 (5), 2445-2458, 2021 | 18* | 2021 |
| Cocoa plant productivity in West Africa under climate change: a modelling and experimental study E Black, E Pinnington, C Wainwright, F Lahive, T Quaife, RP Allan, ... Environmental Research Letters 16 (1), 014009, 2020 | 18 | 2020 |
| The land variational ensemble data assimilation framework: LAVENDAR v1. 0.0 E Pinnington, T Quaife, A Lawless, K Williams, T Arkebauer, D Scoby Geoscientific Model Development 13 (1), 55-69, 2020 | 16 | 2020 |
| The land variational ensemble data assimilation framework: LAVENDAR v1. 0.0. Geosci. Model Dev. 13, 55–69. doi: 10.5194 E Pinnington, T Quaife, A Lawless, K Williams, T Arkebauer, D Scoby gmd-13-55-2020, 2020 | 10 | 2020 |
| The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1. 0.0, Geosci. Model Dev., 13, 55–69 E Pinnington, T Quaife, A Lawless, K Williams, T Arkebauer, D Scoby | 9 | 2020 |
| Data driven weather forecasts trained and initialised directly from observations A McNally, C Lessig, P Lean, E Boucher, M Alexe, E Pinnington, ... arXiv preprint arXiv:2407.15586, 2024 | 3 | 2024 |
| A framework for improved predictions of the climate impacts on potential yields of UK winter wheat and its applicability to other UK crops G Hayman, JW Redhead, M Brown, E Pinnington, F Gerard, M Brown, ... Climate Services 34, 100479, 2024 | 3 | 2024 |
| Synergistic retrievals of leaf area index and soil moisture from Sentinel-1 and Sentinel-2 T Quaife, EM Pinnington, P Marzahn, T Kaminski, M Vossbeck, ... International Journal of Image and Data Fusion 14 (3), 225-242, 2023 | 3 | 2023 |
| High resolution soil moisture estimation and evaluation from Earth observation, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-18099 J Peng, T Quaife, E Pinnington, J Evans, P Harris, E Robinson, E Blyth, ... | 3* | 2020 |
| Quaife, 751 T.(2021). Improving soil moisture prediction of a high-resolution land surface 752 model by parameterising pedotransfer functions through assimilation of SMAP 753 … E Pinnington, J Amezcua, E Cooper, S Dadson, R Ellis, J Peng Hydrology and Earth System Sciences 25 (3), 1617-1641, 0 | 3 | |
| A global probability‐of‐fire (PoF) forecast JR McNorton, F Di Giuseppe, E Pinnington, M Chantry, C Barnard Geophysical Research Letters 51 (12), e2023GL107929, 2024 | 2 | 2024 |
| Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators M Wesselkamp, M Chantry, E Pinnington, M Choulga, S Boussetta, ... arXiv preprint arXiv:2407.16463, 2024 | 1 | 2024 |
| Synergistic use of Sentinel-1 and Sentinel-2 data for the retrieval of surface soil moisture using a variational data assimilation approach. P Marzahn, T Kaminski, M Vossbek, T Quaife, E Pinnington, ... Geophysical Research Abstracts 21, 2019 | 1 | 2019 |
| Using satellite observations of precipitation and soil moisture to constrain the water budget of a land surface model E Pinnington, T Quaife, E Black Hydrology and Earth System Sciences Discussions 137, 288-298, 2017 | 1 | 2017 |
