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 …

A hydrological model is a useful tool to study the effects of human activities and climate
change on hydrology. Accordingly, the performance of hydrological modeling is vitally …

Despite the expectation that increases in rainfall with climatic change will result in increases
in pluvial flooding, there is more historical evidence for decreases in flood magnitude. In …

Abstract Particle Filters (PFs) have received increasing attention by researchers from
different disciplines including the hydro-geosciences, as an effective tool to improve model …

This article presents a novel approach to couple a deterministic four‐dimensional variational
(4DVAR) assimilation method with the particle filter (PF) ensemble data assimilation system …

The last twenty years have brought significant advances in hydrology and hydrogeology,
especially in the area of data availability and predictive modeling capabilities. Remote …

The increasing availability of earth observations necessitates mathematical methods to
optimally combine such data with hydrologic models. Several algorithms exist for such …

Assimilation of satellite soil moisture and streamflow data into a distributed hydrologic model
has received increasing attention over the past few years. This study provides a detailed …

Hydrological model parameters are essential for model simulation, which may vary with time
owing to climatic variations and human activities. As a result, the implementation of …

Our ability to predict sandy shoreline evolution resulting from future changes in regional
wave climates is critical for the sustainable management of coastlines worldwide. To this …