To study DWR is equally helpful in this area for predicting periods of high rainfall and flooding during the monsoon season

The present study examines the role of Doppler Weather Radar (DWR) in accurately predicting periods of high rainfall and potential flooding during the monsoon season over the Gangetic West Bengal region. By utilizing DWR-derived products such as VVP_2 and PPI_V, the research highlights how continuous observations of wind speed, direction, and storm structure significantly enhance short-term forecasting capabilities. The findings demonstrate that DWR data provides real-time insights into convective development, storm intensification, and movement patterns, enabling forecasters to issue timely and reliable nowcasts. This study underscores the operational importance of DWR in improving disaster preparedness, minimizing weather-related risks, and strengthening early warning systems in monsoon-affected areas.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-12-31
DOI
https://doi.org/10.5281/zenodo.18324826
Primary Topic
Precipitation Measurement and Analysis
Type
article
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article

To study DWR is equally helpful in this area for predicting periods of high rainfall and flooding during the monsoon season

Devendra Pradhan, Sadhan Biswas
Zenodo (CERN European Organization for Nuclear Research)
Precipitation Measurement and Analysis
article

To study DWR is equally helpful in this area for predicting periods of high rainfall and flooding during the monsoon season

Devendra Pradhan, Sadhan Biswas
article en

Abstract

The present study examines the role of Doppler Weather Radar (DWR) in accurately predicting periods of high rainfall and potential flooding during the monsoon season over the Gangetic West Bengal region. By utilizing DWR-derived products such as VVP_2 and PPI_V, the research highlights how continuous observations of wind speed, direction, and storm structure significantly enhance short-term forecasting capabilities. The findings demonstrate that DWR data provides real-time insights into convective development, storm intensification, and movement patterns, enabling forecasters to issue timely and reliable nowcasts. This study underscores the operational importance of DWR in improving disaster preparedness, minimizing weather-related risks, and strengthening early warning systems in monsoon-affected areas.

Zenodo (CERN European Organization for Nuclear Research)
Maulana Azad National Institute of Technology (IN)
Climate action
Openalex Percentile: Top 30%
Precipitation Measurement and Analysis
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