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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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The Study of Spatio-Temporal Variation of Precipitation over India

Authors: Deepak Soni;

The Study of Spatio-Temporal Variation of Precipitation over India

Abstract

Importance of understanding the precipitation patterns is well understood for risk assessment, understanding the effects of climate change besides having economic implications such as effects on agriculture and allied industries. Here we present a study in which we studied the precipitation patterns over India from 1901 to 2015 and its variation along with geography and the trends observed in the past century. The time series and spatial distributions were analyzed and plotted. The results show the development of drought conditions and extreme event conditions across some regions in India after 1945 and show that southern India's coastal regions have a bigger share in the occurrence of extreme events. These results can be helpful in policy formulations and inferring land use pattern and climate change effect on weather

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average