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Real time extended range prediction of heat waves over India
Heat waves over India occur during the months of March-June. This study aims at the real-time monitoring and prediction of heat waves using a multi-model dynamical ensemble prediction system developed at Indian Institute of Tropical Meteorology, India. For this, a criterion has been proposed based o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588722/ https://www.ncbi.nlm.nih.gov/pubmed/31227766 http://dx.doi.org/10.1038/s41598-019-45430-6 |
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author | Mandal, Raju Joseph, Susmitha Sahai, A. K. Phani, R. Dey, A. Chattopadhyay, R. Pattanaik, D. R. |
author_facet | Mandal, Raju Joseph, Susmitha Sahai, A. K. Phani, R. Dey, A. Chattopadhyay, R. Pattanaik, D. R. |
author_sort | Mandal, Raju |
collection | PubMed |
description | Heat waves over India occur during the months of March-June. This study aims at the real-time monitoring and prediction of heat waves using a multi-model dynamical ensemble prediction system developed at Indian Institute of Tropical Meteorology, India. For this, a criterion has been proposed based on the observed daily gridded maximum temperature (Tmax) datasets, which can be used for real-time prediction as well. A heat wave day is identified when either (1) Tmax (a)≥ its climatological 95(th) percentile (calculated from daily values during March-June and for 1981–2010), (b) >36 °C, and (c) its departure from normal is >3.5 °C, Or, (2) when the Tmax >44 °C. Three heat wave prone regions, namely, northwest, southeast and northwest-southeast regions are recognized and heat wave spells of minimum consecutive six days are identified objectively for each region during 1981–2018. It is noticed that the prediction system has reasonable skill in predicting the heat waves over heat wave prone regions of India. Forecast verification of heat wave spells during 2003–2018 reveals that the prediction system has great potential in providing overall indication about the onset, duration and demise of the forthcoming heat wave spell with sufficient lead time albeit with some spatio-temporal error. |
format | Online Article Text |
id | pubmed-6588722 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-65887222019-06-28 Real time extended range prediction of heat waves over India Mandal, Raju Joseph, Susmitha Sahai, A. K. Phani, R. Dey, A. Chattopadhyay, R. Pattanaik, D. R. Sci Rep Article Heat waves over India occur during the months of March-June. This study aims at the real-time monitoring and prediction of heat waves using a multi-model dynamical ensemble prediction system developed at Indian Institute of Tropical Meteorology, India. For this, a criterion has been proposed based on the observed daily gridded maximum temperature (Tmax) datasets, which can be used for real-time prediction as well. A heat wave day is identified when either (1) Tmax (a)≥ its climatological 95(th) percentile (calculated from daily values during March-June and for 1981–2010), (b) >36 °C, and (c) its departure from normal is >3.5 °C, Or, (2) when the Tmax >44 °C. Three heat wave prone regions, namely, northwest, southeast and northwest-southeast regions are recognized and heat wave spells of minimum consecutive six days are identified objectively for each region during 1981–2018. It is noticed that the prediction system has reasonable skill in predicting the heat waves over heat wave prone regions of India. Forecast verification of heat wave spells during 2003–2018 reveals that the prediction system has great potential in providing overall indication about the onset, duration and demise of the forthcoming heat wave spell with sufficient lead time albeit with some spatio-temporal error. Nature Publishing Group UK 2019-06-21 /pmc/articles/PMC6588722/ /pubmed/31227766 http://dx.doi.org/10.1038/s41598-019-45430-6 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Mandal, Raju Joseph, Susmitha Sahai, A. K. Phani, R. Dey, A. Chattopadhyay, R. Pattanaik, D. R. Real time extended range prediction of heat waves over India |
title | Real time extended range prediction of heat waves over India |
title_full | Real time extended range prediction of heat waves over India |
title_fullStr | Real time extended range prediction of heat waves over India |
title_full_unstemmed | Real time extended range prediction of heat waves over India |
title_short | Real time extended range prediction of heat waves over India |
title_sort | real time extended range prediction of heat waves over india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588722/ https://www.ncbi.nlm.nih.gov/pubmed/31227766 http://dx.doi.org/10.1038/s41598-019-45430-6 |
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