This study assesses the performance of historical rainfall data from the Coupled Model
Intercomparison Project phase 6 (CMIP6) in reproducing the spatial and temporal rainfall …

Spatio-temporal trends of rainfall during the last 119 years (1901 to 2019) in different
meteorological sub-divisions of India were analyzed using gridded rainfall data. Innovative …

This study investigates the spatial and temporal patterns of trends on seasonal (pre-
monsoon, monsoon, post-monsoon, and winter) and annual rainfall time series data (1966 …

It is a known fact that the size, frequency, and spatial variability of hydrometeorological
variables will irregularly increase under the impact of climate change. Among the …

This study investigates the spatial and temporal patterns of trends and magnitude of rainfall
on monthly, seasonal and annual time scales of 13 districts of Uttarakhand State located in …

The long‐term trends in temperature over Iran were examined over 34 synoptic stations
during a 50 year period (1961–2010) on seasonal and annual time scales. Two methods, a …

Morphometric analysis is a pertinent scientific approach in any hydrological analysis, and it
is necessary in the progress and management of drainage basin. Identification of areas at …

Temperature is one of the most significant elements in climate and weather forecasting.
There was an increase in the earth's surface (land and ocean) temperature by 0.6±0.2° C …

Assessing the spatial and temporal variability of climate data is one of the basic
requirements to solve the hydrological and water management problems. In this manuscript …

Spatial and temporal precipitation variability in Chhattisgarh State in India was examined by
using monthly precipitation data for 102 years (1901–2002) from 16 stations. The …