Rainfall is one of the most basic meteorological and hydrological elements. Quantitative
rainfall estimation has always been a common concern in many fields of research and …

Satellite remote sensing is the main tool for estimating precipitation over areas with sparse
rain gauge networks. Accurate gridded precipitation data at high temporal and spatial scales …

Precipitation is often the most important input data in hydrological models when simulating
streamflow. The Soil and Water Assessment Tool (SWAT), a widely used hydrological …

ABSTRACT A new gridded rainfall dataset available for Peru is introduced, called PISCOp
V2. 1 (Peruvian Interpolated data of SENAMHI's Climatological and Hydrological …

Rainfall and runoff are significant constitute the sources of water for recharge of ground
water in the watershed. Rainfall is a major the primary source of recharge into the ground …

Climate changes significantly impact environmental and hydrological processes.
Precipitation is one of the most significant climatic parameters and its variability and trends …

In recent years, floods have acquired global importance due to their devastating nature that
can cause massive damage to infrastructure and society. The Himalayan foothill is very …

Ground is considered as one of the most treasured resources, which spatially varies across
the globe. The demand for groundwater in the Darjeeling Himalaya region has constantly …

High-quality, freely accessible, long-term precipitation estimates with fine spatiotemporal
resolution play essential roles in hydrologic, climatic, and numerical modeling applications …

The spatial distribution of precipitation is an important aspect of water-related research. The
use of different interpolation schemes in the same catchment may cause large differences …