Assessment of Satellite-Derived Indicators of Extreme Rainfall

The extreme rainfall event in Patna, Bihar, was meticulously analysed using advanced satellite technology along with reanalysis data, observational data. Understanding critical indicators for extreme rainfall were identified by examining significant years resulted extreme rainfall like September 1997, August 2007, September 2013, and September 2019. The integration of ground-based IMD rainfall data refined the analysis, underscoring the importance of a comprehensive, multi-source data approach in heavy rainfall analysis. It has been found that Total Column Liquid Water, Cloud Top Height and Outgoing Longwave Radiation (OLR) are very good indicators of extreme rainfall and provide a deeper understanding of the atmospheric conditions related to clouds, radiation, and energy balance. At the same time, it became clear that CHIRPS provides a good estimate of precipitation, but still, due to the limitation of its spatial resolution, there exists a large difference in comparison to rain-gauge measured precipitation value.

Authors

Institutions

Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/ingarss61818.2024.10984246
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessment of Satellite-Derived Indicators of Extreme Rainfall

Swagata Payra, Mili Ghosh Nee Lala, M. C. Sinha
Precipitation Measurement and Analysis
article

Assessment of Satellite-Derived Indicators of Extreme Rainfall

Swagata Payra, Mili Ghosh Nee Lala, M. C. Sinha
article en

Abstract

The extreme rainfall event in Patna, Bihar, was meticulously analysed using advanced satellite technology along with reanalysis data, observational data. Understanding critical indicators for extreme rainfall were identified by examining significant years resulted extreme rainfall like September 1997, August 2007, September 2013, and September 2019. The integration of ground-based IMD rainfall data refined the analysis, underscoring the importance of a comprehensive, multi-source data approach in heavy rainfall analysis. It has been found that Total Column Liquid Water, Cloud Top Height and Outgoing Longwave Radiation (OLR) are very good indicators of extreme rainfall and provide a deeper understanding of the atmospheric conditions related to clouds, radiation, and energy balance. At the same time, it became clear that CHIRPS provides a good estimate of precipitation, but still, due to the limitation of its spatial resolution, there exists a large difference in comparison to rain-gauge measured precipitation value.

Birla Institute of Technology, Mesra (IN)
Climate action
Openalex Percentile: Top 70%
Precipitation Measurement and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.