Alternative climate products, such as gauge-based gridded data, ground-based weather
radar, satellite precipitation and climate reanalysis products, are being increasingly applied …

Climate forcing data accuracy drives performance of hydrologic models and analyses, yet
each investigator needs to select from among the numerous gridded climate dataset options …

The projected changes in precipitation and air temperature over the Caspian Sea (CS) are
studied using 13 Global Climate Models (GCMs) from the Coupled Model Intercomparison …

Meteorological forcing plays a critical role in accurately simulating the watershed
hydrological cycle. With the advancement of high-performance computing and the …

Several satellite-based and reanalysis products with a high spatial and temporal resolution
have become available in recent decades, making it worthwhile to study the performance of …

Precipitation is one of the crucial variables in hydrological and water resources studies.
Runoff, soil moisture, groundwater recharge, and other hydrological variables change with …

Precision agriculture management with remote sensing big data provides a promising
solution to monitor crops. Alfalfa is an important forage crop for various livestock around the …

Abstract Rain-on-snow (ROS) melt events reduce the amount of water stored in the
snowpack while also exacerbating flooding. The hydrologic implications of changing ROS …

Precipitation is essential for hydrological streamflow simulation, but data scarcity in some
regions limits ground-based observations. High-resolution satellite-based precipitation …

Hydrological models require complete and accurate weather data time series to represent
watershed‐scale responses adequately. The Global Historical Climatology Network (GHCN) …