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Synoptic Preconditions for Extreme Flooding during the Summer Asian Monsoon in the Mumbai Area

Author(s)
Lomazzi, Marco; Entekhabi, Dara; Pinto, Joaquim G.; Roth, Giorgio; Rudari, Roberto
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Abstract
The summer monsoon season is an important hydrometeorological feature of the Indian subcontinent and it has significant socioeconomic impacts. This study is aimed at understanding the processes associated with the occurrence of catastrophic flood events. The study has two novel features that add to the existing body of knowledge about the South Asian monsoon: 1) it combines traditional hydrometeorological observations (rain gauge measurements) with unconventional data (media and state historical records of reported flooding) to produce value-added century-long time series of potential flood events and 2) it identifies the larger regional synoptic conditions leading to days with flood potential in the time series. The promise of mining unconventional data to extend hydrometeorological records is demonstrated in this study. The synoptic evolution of flooding events in the western-central coast of India and the densely populated Mumbai area are shown to correspond to active monsoon periods with embedded low pressure centers and have far-upstream influences from the western edge of the Indian Ocean basin. The coastal processes along the Arabian Peninsula where the currents interact with the continental shelf are found to be key features of extremes during the South Asian monsoon.
Date issued
2014-02
URI
http://hdl.handle.net/1721.1/90304
Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering; Parsons Laboratory for Environmental Science and Engineering (Massachusetts Institute of Technology)
Journal
Journal of Hydrometeorology
Publisher
American Meteorological Society
Citation
Lomazzi, Marco, Dara Entekhabi, Joaquim G. Pinto, Giorgio Roth, and Roberto Rudari. “Synoptic Preconditions for Extreme Flooding During the Summer Asian Monsoon in the Mumbai Area.” Journal of Hydrometeorology 15, no. 1 (February 2014): 229–242. © 2014 American Meteorological Society
Version: Final published version
ISSN
1525-755X
1525-7541

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