We commonly refer to state estimation theory in geosciences as data assimilation (DA). This
term encompasses the entire sequence of operations that, starting from the observations of a …

The climate is a forced, dissipative, nonlinear, complex, and heterogeneous system that is
out of thermodynamic equilibrium. The system exhibits natural variability on many scales of …

This book places data assimilation (DA) into the broader context of inverse problems and the
theory, methods, and algorithms that are used for their solution. It strives to provide a …

The last few years have seen an explosion of interest in extreme event attribution, the
science of estimating the influence of human activities or other factors on the probability and …

Within the past decade, the attribution of extreme weather and climate events has emerged
from a theoretical possibility into a subfield of climate science in its own right, providing …

Independent verification of anthropogenic influence on specific extreme climate events
remains elusive. This study presents a framework for such verification. This framework …

Data assimilation is concerned with sequentially estimating a temporally evolving state. This
task, which arises in a wide range of scientific and engineering applications, is particularly …

Reliable projections of crop production are an essential tool for the design of feasible policy
plans to tackle food security and land allocation, and an accurate characterization of the …

The most common approaches to detection and attribution (D&A) of extreme weather events
using fraction of attributable risk or risk ratio answer a particular form of research question …

There is a growing research interest in understanding extreme weather in the context of
anthropogenic climate change, posing a requirement for new tailored climate data products …