Climate extremes, such as heat waves, droughts, extreme rainfall can lead to harvest
failures, flooding and consequently threaten the food security worldwide. Improving our …

Rise in mean temperature put a great deal of uncertainty about how weather and climate
extremes may play out, particularly in India's varied climatic zones. Consequently, it is …

In the present study, long-term rainfall trend was analyzed using the traditional Mann–
Kendall (MK) test and innovative trend analysis (ITA) method for annual and seasonal …

Our study has investigated spatio-temporal distribution of rainfall and rain day trends during
different seasons for all districts of Haryana, India. Gridded rainfall dataset of 120 years …

As we know, climate change and climate variability significantly influence the most important
component of global hydrological cycle, ie, rainfall. The study pertaining to change in the …

The spatiotemporal variability of rainfall, particularly in the context of climate change, has
been imperative for examining the cropping patterns, farming sustainable crop production …

Application of RUSLE and GIS was carried out to estimate soil erosion in Rupnagar district,
which falls within the Shivaliks of northwest India. Input layers such as rainfall erosivity, soil …

A remote sensing and GIS-based watershed scale model has been developed that
simulates event-based runoff and sediment yield at each grid of the DEM. The model …

İklim değişikliği, kuraklık gidişinin alansal ve zamansal yayılımının izlenmesinde farklı
yaklaşımları ortaya konarak analitik çözümlemeleri ihtiyaç haline getirmiştir. Güneydoğu …

The division and evaluation of data series used in monitoring drought into different time
intervals is a practical approach to detecting the spatial and temporal extent of drought …