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 …

Variational and ensemble methods have been developed separately by various research
and development groups and each brings its own benefits to data assimilation. In the last …

This open-access textbook's significant contribution is the unified derivation of data-
assimilation techniques from a common fundamental and optimal starting point, namely …

Birds-Eye-View (BEV) perception can naturally represent natural scenes, which is conducive
to multimodal data processing and fusion. BEV data contain rich semantics and integrate the …

Data assimilation (DA) methods for convective‐scale numerical weather prediction at
operational centres are surveyed. The operational methods include variational methods (3D …

Review of the Ensemble Kalman Filter for Atmospheric Data Assimilation in: Monthly
Weather Review Volume 144 Issue 12 (2016) Jump to Content Jump to Main Navigation …

Assimilating All-Sky Himawari-8 Satellite Infrared Radiances: A Case of Typhoon Soudelor (2015)
in: Monthly Weather Review Volume 146 Issue 1 (2018) Jump to Content Jump to Main …

In ensemble Kalman filters, the underestimation of forecast error variance due to limited
ensemble size and other sources of imperfection is commonly treated by empirical …

Localization and Sampling Error Correction in Ensemble Kalman Filter Data Assimilation in:
Monthly Weather Review Volume 140 Issue 7 (2012) Jump to Content Jump to Main Navigation …

This book provides a comprehensive introduction to the techniques, tools and methods for
inverse problems and data assimilation, and is written at the interface between mathematics …