Characteristics of 2021 Cloudburst Events Based on Insat Data

Cloudbursts are characterized by rapid and intense precipitation. These catastrophic weather occurrences cause significant destruction annually in the North-West Himalayan (NWH) region of India during pre-monsoon and monsoon season. This study identifies and analyzes recent 2021 cloudburst events in this area using high-resolution satellite products from INSAT 3D (OLR, HE Rain, and CTP) and SRTM DEM to examine their spatial-temporal characteristics. Cloud Top Temperature (CTT) and Cloud Top Height (CTH) are estimated using the Stefan Boltzmann Law and Hypsometric equation to understand cloud growth during these events. Findings indicate a significant drop in OLR values approximately 7 hours before extreme rainfall, followed by a substantial decrease in CTT around 4 hours before the event, with CTH increasing from 2 km to a maximum of 20 km. The clouds during these events were identified as high-level deep convective and nimbostratus clouds. This study can aid in developing new methods for nowcasting cloudburst events.

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Published
2024-12-02
DOI
https://doi.org/10.1109/ingarss61818.2024.10983936
Citations
1
Primary Topic
Remote Sensing and Land Use
Type
article
Field-Weighted Citation Impact
0.38
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article

Characteristics of 2021 Cloudburst Events Based on Insat Data

Charu Singh, Manali Saha
1 citations
Remote Sensing and Land Use
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article

Characteristics of 2021 Cloudburst Events Based on Insat Data

Charu Singh, Manali Saha
article en
1 citations

Abstract

Cloudbursts are characterized by rapid and intense precipitation. These catastrophic weather occurrences cause significant destruction annually in the North-West Himalayan (NWH) region of India during pre-monsoon and monsoon season. This study identifies and analyzes recent 2021 cloudburst events in this area using high-resolution satellite products from INSAT 3D (OLR, HE Rain, and CTP) and SRTM DEM to examine their spatial-temporal characteristics. Cloud Top Temperature (CTT) and Cloud Top Height (CTH) are estimated using the Stefan Boltzmann Law and Hypsometric equation to understand cloud growth during these events. Findings indicate a significant drop in OLR values approximately 7 hours before extreme rainfall, followed by a substantial decrease in CTT around 4 hours before the event, with CTH increasing from 2 km to a maximum of 20 km. The clouds during these events were identified as high-level deep convective and nimbostratus clouds. This study can aid in developing new methods for nowcasting cloudburst events.

Indian Institute of Remote Sensing (IN)
Climate action
Openalex Percentile: Top 36%
Remote Sensing and Land Use
0.38
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