Was the extreme rainfall that caused the August 2022 flood in Pakistan predictable?

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dc.contributor.author Malik, Iqura
dc.contributor.author Chuphal, Dipesh Singh
dc.contributor.author Vegad, Urmin
dc.contributor.author Mishra, Vimal
dc.coverage.spatial United Kingdom
dc.date.accessioned 2023-09-27T11:15:54Z
dc.date.available 2023-09-27T11:15:54Z
dc.date.issued 2023-09
dc.identifier.citation Malik, Iqura; Chuphal, Dipesh Singh; Vegad, Urmin and Mishra, Vimal, "Was the extreme rainfall that caused the August 2022 flood in Pakistan predictable?", Environmental Research: Climate, DOI: 10.1088/2752-5295/acfa1a, Sep. 2023.
dc.identifier.issn 2752-5295
dc.identifier.uri https://doi.org/10.1088/2752-5295/acfa1a
dc.identifier.uri https://repository.iitgn.ac.in/handle/123456789/9201
dc.description.abstract Pakistan suffered from severe floods in the past, but in August 2022, the country experienced exceptional extreme rainfall events that caused widespread and catastrophic flooding. The 2022 flood affected all aspects of socio-economic lives including agriculture, infrastructure, and mortality of humans and livestock. The two-day accumulated extreme rainfall on August 17-18 was anomalous and contributed the most to the flood in the southern provinces of Pakistan. The damage caused by extreme rainfall and the subsequent flooding has raised questions regarding the predictability of extreme rainfall by the existing weather forecasting models. Here, we use ensemble forecasts from four numerical weather prediction (NWP) models under THORPEX Interactive Grand Global Ensemble (TIGGE) datasets to examine the predictability of extreme rainfall at a six-day lead. The extreme precipitation during August 17-18, 2022 was predictable a week before the event that contributed the most to the flooding. All the forecast models provided an early warning at a six-day lead time. UKMO and ECMWF models produced comparable results to observations at all the lead times. Our findings highlight that an integrated framework of extended quantitative precipitation forecasts and hydrological modelling can help reduce the country's flood vulnerability and risk associated with it.
dc.description.statementofresponsibility by Iqura Malik, Dipesh Singh Chuphal, Urmin Vegad and Vimal Mishra
dc.language.iso en_US
dc.publisher IOP Publishing
dc.title Was the extreme rainfall that caused the August 2022 flood in Pakistan predictable?
dc.type Article
dc.relation.journal Environmental Research: Climate


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