Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …

The task of quantifying spatial and temporal variations in terrestrial water, energy, and
vegetation conditions is challenging due to the significant complexity and heterogeneity of …

In an era of rapid global change, our ability to understand and predict Earth's natural
systems is lagging behind our ability to monitor and measure changes in the biosphere …

Predicting terrestrial carbon, C, budgets and carbon‐climate feedbacks strongly relies on
our ability to accurately model interactions between vegetation, C and water cycles, and the …

We present a representation of nitrogen and phosphorus cycling in the Functionally
Assembled Terrestrial Ecosystem Simulator, a demographic vegetation model within the …

Abstract Changes in the frequency of extreme weather events related to climate change
potentially pose significant challenges to UK agricultural production. There is a need for …

With the growing complexity of land surface models used to represent the terrestrial part of
wider Earth system models, the need for sophisticated and robust parameter optimisation …

The potential effect of climate change on regional suitability for cocoa cultivation is a serious
economic concern for West Africa—especially for Ghana and Côte d'Ivoire, whose cocoa …

We present a new method for estimating biophysical parameters from Earth Observation
(EO) data using a crop-specific empirical model based on the PROSAIL Radiative Transfer …

While the impacts of climate change on global food security have been studied extensively,
the capability of emerging tools that couple land surface processes and crop growth in …