Assessment of extreme rainfall events for iFLOWS Mumbai in NCUM regional forecasting system

Mohan S. T (), Raghavendra Ashrit, Kondapalli Niranjan Kumar, Upal Saha, D. Nagarjuna Rao, A. Jayakumar, Saji Mohandas and V. S. Prasad
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Mohan S. T: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences
Raghavendra Ashrit: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences
Kondapalli Niranjan Kumar: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences
Upal Saha: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences
D. Nagarjuna Rao: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences
A. Jayakumar: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences
Saji Mohandas: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences
V. S. Prasad: National Center for Medium-Range Weather Forecasting, Ministry of Earth Sciences

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2024, vol. 120, issue 12, No 15, 10785-10805

Abstract: Abstract Multiple record-breaking rainfall events were observed along the Western Ghats (WG) during the recent monsoon seasons (2019–2021). Rainfall amounts of up to > 200 mm/day (Extreme rainfall, ER) were recorded especially over the Mumbai region (19.07 N, 72.8 E) causing flooding, landslides, damage to infrastructure and loss of life. Thus, to enhance the resilience of this region by providing early warning for flooding, the National Center for Medium-Range Weather Forecasting Unified model’s regional forecasting system (NCUM-reg) provides rainfall forecasts up to 3 days (72-h), which are utilized in the integrated flood warning system hydrological model. This study focuses on evaluating the performance of NCUM-reg forecasts during ER events. For this purpose, we have systematically performed verification of regional model operational forecasts using the suite of observations (rain gauge, satellite) and newly generated NCMRWF’s regional reanalysis, Indian Monsoon Data Assimilation and Analysis (IMDAA). Key findings indicate that NCUM-reg model with explicit convection is performing well in representing the synoptic and dynamic features of the ER events similar to those observed. Quantitative assessment of the forecasts shows the strength of in-situ observations. In addition, the results summarize the importance of continuous and quality-controlled observations and stress the need for collective efforts of observations and new verification metrics (like process-oriented diagnostics) to enhance our understanding and as well as the model’s ability in forecasting such events.

Keywords: Extreme rainfall events; Regional forecasts; Quantitative precipitation forecast; Verification; iFLOWS; Moisture flux (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11069-024-06628-8

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