IMDLIB: An open-source library for retrieval, processing and spatiotemporal exploratory assessments of gridded meteorological observation datasets over India

S Nandi, P Patel, S Swain - Environmental Modelling & Software, 2024 - Elsevier
Addressing a pressing need for streamlined access to observed meteorological data in
India, we present IMDLIB, an open-source Python library that operates on gridded datasets …

Increase in probable maximum precipitation in a changing climate over India

S Sarkar, R Maity - Journal of Hydrology, 2020 - Elsevier
Abstract Probable Maximum Precipitation (PMP) is considered as an important design
criteria and it is expected to change over time owing to the impacts of climate change and …

Probable maximum precipitation analysis of high rainfall regions in India

DP Panday, A Singh, A Ketu, AR SK, M Kumar - Groundwater for …, 2023 - Elsevier
Abstract Uttarakhand, Maharashtra, Assam & Meghalaya are the potential areas to study the
precipitation, perform trend analysis and calculate the probable maximum precipitation …

Social vulnerability to drought: A spatiotemporal assessment in purulia district, West Bengal, India

T Guha, S Hazra - International Journal of Disaster Risk Reduction, 2024 - Elsevier
The interplay between climate change, drought, and socioeconomic development has
significantly altered the hazards, vulnerability, and risk of drought within the global …

[HTML][HTML] Estimation of probable maximum precipitation in the context of climate change

S Sarkar, R Maity - MethodsX, 2020 - Elsevier
Abstract Probable Maximum Precipitation (PMP) is the maximum depth of precipitation at a
location for a given duration that is meteorologically possible. It is a crucial information for …