Search Results - "Pinnington, Ewan"
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Investigating the role of prior and observation error correlations in improving a model forecast of forest carbon balance using Four-dimensional Variational data assimilation
Published in Agricultural and forest meteorology (15-11-2016)“…•Four-dimensional Variational data assimilation implemented with DALEC2 model.•Error correlations in prior information and observations proposed.•Including…”
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Cocoa plant productivity in West Africa under climate change: a modelling and experimental study
Published in Environmental research letters (01-01-2021)“…The potential effect of climate change on regional suitability for cocoa cultivation is a serious economic concern for West Africa-especially for Ghana and…”
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A framework for improved predictions of the climate impacts on potential yields of UK winter wheat and its applicability to other UK crops
Published in Climate services (01-04-2024)“…Changes in the frequency of extreme weather events related to climate change potentially pose significant challenges to UK agricultural production. There is a…”
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Understanding the effect of disturbance from selective felling on the carbon dynamics of a managed woodland by combining observations with model predictions
Published in Journal of geophysical research. Biogeosciences (01-04-2017)“…The response of forests and terrestrial ecosystems to disturbance is an important process in the global carbon cycle in the context of a changing climate. This…”
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Estimation and evaluation of high-resolution soil moisture from merged model and Earth observation data in the Great Britain
Published in Remote sensing of environment (01-10-2021)“…Soil moisture is an important component of the Earth system and plays a key role in land-atmosphere interactions. Remote sensing of soil moisture is of great…”
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Impact of remotely sensed soil moisture and precipitation on soil moisture prediction in a data assimilation system with the JULES land surface model
Published in Hydrology and earth system sciences (26-04-2018)“…We show that satellite-derived estimates of shallow soil moisture can be used to calibrate a land surface model at the regional scale in Ghana, using data…”
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Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data
Published in Hydrology and earth system sciences (31-03-2021)“…Pedotransfer functions are used to relate gridded databases of soil texture information to the soil hydraulic and thermal parameters of land surface models…”
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Using data assimilation to optimize pedotransfer functions using field-scale in situ soil moisture observations
Published in Hydrology and earth system sciences (10-05-2021)“…Soil moisture predictions from land surface models are important in hydrological, ecological, and meteorological applications. In recent years, the…”
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The Land Variational Ensemble Data Assimilation Framework: LAVENDAR v1.0.0
Published in Geoscientific Model Development (07-01-2020)“…The Land Variational Ensemble Data Assimilation Framework (LAVENDAR) implements the method of four-dimensional ensemble variational (4D-En-Var) data…”
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TAMSAT-ALERT v1: a new framework for agricultural decision support
Published in Geoscientific Model Development (19-06-2018)“…Early warning of weather-related hazards enables farmers, policy makers and aid agencies to mitigate their exposure to risk. We present a new operational…”
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Advances in Land Surface Model-based Forecasting: A comparative study of LSTM, Gradient Boosting, and Feedforward Neural Network Models as prognostic state emulators
Published 23-07-2024“…Most useful weather prediction for the public is near the surface. The processes that are most relevant for near-surface weather prediction are also those that…”
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Data driven weather forecasts trained and initialised directly from observations
Published 22-07-2024“…Skilful Machine Learned weather forecasts have challenged our approach to numerical weather prediction, demonstrating competitive performance compared to…”
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Machine Learning-Based Observation Operators to Assimilate Microwave and SIF Satellite Observations into the ECMWF Integrated Forecast System
Published in IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium (07-07-2024)“…The CO2MVS Research on Supplementary Observations (CORSO) project aims at reducing the uncertainties in the predicted biogenic carbon fluxes by leveraging new…”
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