Revealing alarming changes in spatial coverage of joint hot and wet extremes across India

Abstract Compared to any single hydroclimatic variable, joint extremes of multiple variables impact more heavily on the society and ecosystem. In this study, we developed new joint extreme indices (JEIs) using temperature and precipitation, and investigated its spatio-temporal variation with observe...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Subhasmita Dash, Rajib Maity
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f9926b06b4404cafacd0cae301d45cb6
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:f9926b06b4404cafacd0cae301d45cb6
record_format	dspace
spelling	oai:doaj.org-article:f9926b06b4404cafacd0cae301d45cb62021-12-02T14:58:46ZRevealing alarming changes in spatial coverage of joint hot and wet extremes across India10.1038/s41598-021-97601-z2045-2322https://doaj.org/article/f9926b06b4404cafacd0cae301d45cb62021-09-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-97601-zhttps://doaj.org/toc/2045-2322Abstract Compared to any single hydroclimatic variable, joint extremes of multiple variables impact more heavily on the society and ecosystem. In this study, we developed new joint extreme indices (JEIs) using temperature and precipitation, and investigated its spatio-temporal variation with observed records across Indian mainland. Analysis shows an alarming rate of change in the spatial extent of some of the joint extreme phenomena, tending to remain above normal. For example, above normal hot nights and wet days events expands at a rate of 0.61% per year considering entire Indian mainland. If the historical trend continues at the same rate, consecutive cold and wet day events will drop below the threshold of mean value observed in the base line period (1981–2010) everywhere in the country by the end of the twenty-first century. In contrast, the entire country will be covered by hot nights and wet days events only (frequency of occurrence will cross the threshold of mean value observed in the base line period). This observation is also supported by the CMIP6 climate model outputs. It is further revealed that extremes of any single variable, i.e. either precipitation or temperature (e.g., Extreme Wet Days, Consecutive Wet Days, Hot Nights, and Cold Spell Duration Index), do not manifest such an alarming spatial expansion/contraction. This indicates that the consideration of the joint indices of hydroclimatic variables is more informative for the climate change impact analysis.Subhasmita DashRajib MaityNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Subhasmita Dash Rajib Maity Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
description	Abstract Compared to any single hydroclimatic variable, joint extremes of multiple variables impact more heavily on the society and ecosystem. In this study, we developed new joint extreme indices (JEIs) using temperature and precipitation, and investigated its spatio-temporal variation with observed records across Indian mainland. Analysis shows an alarming rate of change in the spatial extent of some of the joint extreme phenomena, tending to remain above normal. For example, above normal hot nights and wet days events expands at a rate of 0.61% per year considering entire Indian mainland. If the historical trend continues at the same rate, consecutive cold and wet day events will drop below the threshold of mean value observed in the base line period (1981–2010) everywhere in the country by the end of the twenty-first century. In contrast, the entire country will be covered by hot nights and wet days events only (frequency of occurrence will cross the threshold of mean value observed in the base line period). This observation is also supported by the CMIP6 climate model outputs. It is further revealed that extremes of any single variable, i.e. either precipitation or temperature (e.g., Extreme Wet Days, Consecutive Wet Days, Hot Nights, and Cold Spell Duration Index), do not manifest such an alarming spatial expansion/contraction. This indicates that the consideration of the joint indices of hydroclimatic variables is more informative for the climate change impact analysis.
format	article
author	Subhasmita Dash Rajib Maity
author_facet	Subhasmita Dash Rajib Maity
author_sort	Subhasmita Dash
title	Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
title_short	Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
title_full	Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
title_fullStr	Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
title_full_unstemmed	Revealing alarming changes in spatial coverage of joint hot and wet extremes across India
title_sort	revealing alarming changes in spatial coverage of joint hot and wet extremes across india
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f9926b06b4404cafacd0cae301d45cb6
work_keys_str_mv	AT subhasmitadash revealingalarmingchangesinspatialcoverageofjointhotandwetextremesacrossindia AT rajibmaity revealingalarmingchangesinspatialcoverageofjointhotandwetextremesacrossindia
_version_	1718389301138423808

Revealing alarming changes in spatial coverage of joint hot and wet extremes across India

Ejemplares similares