The availability of global satellite-based precipitation datasets provides an asset to
accomplish precipitation dependent analysis where gauge based precipitation datasets are …

Water is an important part of global circulation. Precipitation is the principal input into these
cycles, and its measurement and evaluation in spatial and temporal scales are necessary …

In-situ precipitation data is the most reliable data for the drought assessment. However,
gridded datasets are commonly used due to limited availability of station data. However, the …

Accurate streamflow modeling is crucial for effective water resource management. This study
used five machine learning models (support vector regressor (SVR), random forest (RF), M5 …

Wheat is an important component of global food security, and Punjab and Haryana are the
major wheat-growing areas in Northwest India, but climate change has increased the …

Though not a sufficient condition, the ability to reproduce key elements of climate variability
over the historical record should be a minimum requirement for placing any confidence in a …

A sparse rain gauge network in dryland regions has been a major challenge for accessing
high quality observed data needed to understand variability and trends in climate. Gridded …

Increasing weather variability and corresponding increased threat to the sustainability of the
system and to the food security of any nation raises the importance of weather analysis in a …

Soil moisture is a key variable that contributes for flux partitioning into sensible and latent
heat components. There is a pressing need to study the impacts of shallow groundwater …

This study draws attention to the better comprehension of spatio-temporal analysis of climate
changes based on precipitation extremes and projection of future streamflow for efficient …