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 …

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 …

Increasing floods and droughts are raising concerns of an accelerating water cycle,
however, the relative contributions to streamflow changes from climate and land …

Both seasonal and annual mean precipitation and evaporation influence patterns of water
availability impacting society and ecosystems. Existing global climate studies rarely consider …

Data assimilation has been demonstrated as the potential crop yield estimation approach.
Accurate quantification of model and observation errors is the key to determining the …

Abstract The HYDRUS-1D and HYDRUS (2D/3D) computer software packages are widely
used finite-element models for simulating the one-and two-or three-dimensional movement …

Geostatistics as a subfield of statistics accounts for the spatial correlations encountered in
many applications of, for example, earth sciences. Valuable information can be extracted …

Water | Free Full-Text | Review: Sources of Hydrological Model Uncertainties and Advances
in Their Analysis Next Article in Journal Assessing the Influence of Compounding Factors to …

New millisecond pulsars (MSPs) in compact binaries provide a good opportunity to search
for the most massive neutron stars. Their main-sequence companion stars are often strongly …

This study explores the potential of vegetation indices (VIs) for crop leaf area index (LAI)
estimation, with a focus on comparing red-edge reflectance based (RE-based) and the …