Over the past few years, Deep Learning (DL) methods have garnered substantial
recognition within the field of hydrology and water resources applications. Beginning with a …

Recently, computer vision and multimedia understanding become important research
domains in computer science. Meanwhile, visual tracking of moving target, one of most …

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 …

By effectively observing the land surface and obtaining farmland conditions, satellite remote
sensing has played an essential role in agricultural drought monitoring over past decades …

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

Application of remote sensing is emerging for operational drought monitoring and early
warning as it offers opportunities for assessing drought from different perspectives. This …

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 …

The newest soil moisture-dedicated satellite, the Soil Moisture Active Passive (SMAP)
mission, provides global maps of soil moisture using concurrent L-band radar and …

In order to improve drought forecasting skill, this study develops a probabilistic drought
forecasting framework comprised of dynamical and statistical modeling components. The …