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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Extreme Precipitation Event Analysis for the Indian Subcontinent

Authors: Ganapathiraju, Sree Anusha; Rathinasamy, Maheswaran;

Extreme Precipitation Event Analysis for the Indian Subcontinent

Abstract

This deposit contains the complete codebase and accompanying dataset used in the research study titled "Spatiotemporal Dynamics of Moisture Influx and Their Role in Precipitation Extremes: A Study of December 2023 in Kayalpattinam", under review in the Atmospheric Research journal. The aim of this work is to conduct a diagnostic study to comprehend the physical mechanisms and moisture transport pathways that led to the occurrence of extreme precipitation events in the coastal town of Kayalpattinam, Tamil Nadu, India. The work provides a holistic approach to understanding the physical processes behind the deluge. Contents of this archive: Python scripts for data preprocessing, model training, evaluation, and visualisation Processed dataset used in the experiments, stored in [format, e.g., NetCDF / CSV] All code and data are provided to ensure reproducibility of the results presented in the manuscript. The IMDAA dataset is an open-source dataset and can be made available upon request. Please cite this deposit using the DOI if you reuse or build upon this work.

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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
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