The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns

Spatial and temporal variability in precipitation has been dramatically changed due to climate variability and climate change over the global domain. Increasing in extreme precipitation events are pronounced in various regions, including monsoon Asia (MA) in recent decades. The present study evaluat...

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Autores principales:	Sunilkumar Khadgarai, Vinay Kumar, Prabodha Kumar Pradhan
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	climate change indices extreme precipitation APHRODITE monsoon Asia Meteorology. Climatology QC851-999
Acceso en línea:	https://doaj.org/article/4844ff676f7246e3b2fc27f5cfbdfc84
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spelling	oai:doaj.org-article:4844ff676f7246e3b2fc27f5cfbdfc842021-11-25T16:45:32ZThe Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns10.3390/atmos121114922073-4433https://doaj.org/article/4844ff676f7246e3b2fc27f5cfbdfc842021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1492https://doaj.org/toc/2073-4433Spatial and temporal variability in precipitation has been dramatically changed due to climate variability and climate change over the global domain. Increasing in extreme precipitation events are pronounced in various regions, including monsoon Asia (MA) in recent decades. The present study evaluated precipitation variability in light of intensity, duration, and frequency with several extreme precipitation climate change indices developed by the Expert Team on Climate Change Detection Indices (ETCCDI) over the MA region. This study uses an improved version (APHRO_V1901) of the Asian Precipitation Highly Resolved Observation Data Integration Towards Evaluation of extreme events (APHRODITE-2) gridded rainfall product. Results showed that the spatial variability of the extreme precipitation climate change indices is reflected in the annual mean rainfall distribution in MA. Maximum one-day precipitation (R × 1) and precipitation contributed from extremes (R95) depict a peak in decadal mean rainfall values over topography regions. A significant positive trend in R × 1 (with a slope of 0.3 mm/yr) and precipitation greater than the 95th percentile (R95: with a slope of 0.5 mm/yr) are predominantly observed in decadal trends in regional average extreme precipitation climate change indices over MA. Maritime continental countries exhibit an inclined trend in R10, whereas central Asian arid regions show a decreasing tendency in continuous dry days (CDD). The positive trend in R95 is observed over central India, the monsoon region in China, countries that reside over the equator and some parts of Japan, and the Philippines. When comparing the influence of surface temperature (T) and total column water vapor (TCW) on precipitation climate change indices, TCW seems to be a crucial attributor to climate change indices meridional variability. The mutual correlation analysis depicts that precipitation contributed from extremes (R95) strongly correlates in terms of temporal variability with all extreme precipitation indices. Among various global circulation patterns, the prevalent conditions of sea surface temperature (SST) over the equatorial Pacific Ocean have a significant influence on decadal variability in extreme precipitation climate change indices. R10 and R95 possess a relatively significant correlation (0.86 and 0.91) with the Southern Oscillation Index. The maximum number of consecutive dry days (CDD) shows an increasing trend with a positive phase of the North Atlantic Oscillation Index.Sunilkumar KhadgaraiVinay KumarPrabodha Kumar PradhanMDPI AGarticleclimate change indicesextreme precipitationAPHRODITEmonsoon AsiaMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1492, p 1492 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	climate change indices extreme precipitation APHRODITE monsoon Asia Meteorology. Climatology QC851-999
spellingShingle	climate change indices extreme precipitation APHRODITE monsoon Asia Meteorology. Climatology QC851-999 Sunilkumar Khadgarai Vinay Kumar Prabodha Kumar Pradhan The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns
description	Spatial and temporal variability in precipitation has been dramatically changed due to climate variability and climate change over the global domain. Increasing in extreme precipitation events are pronounced in various regions, including monsoon Asia (MA) in recent decades. The present study evaluated precipitation variability in light of intensity, duration, and frequency with several extreme precipitation climate change indices developed by the Expert Team on Climate Change Detection Indices (ETCCDI) over the MA region. This study uses an improved version (APHRO_V1901) of the Asian Precipitation Highly Resolved Observation Data Integration Towards Evaluation of extreme events (APHRODITE-2) gridded rainfall product. Results showed that the spatial variability of the extreme precipitation climate change indices is reflected in the annual mean rainfall distribution in MA. Maximum one-day precipitation (R × 1) and precipitation contributed from extremes (R95) depict a peak in decadal mean rainfall values over topography regions. A significant positive trend in R × 1 (with a slope of 0.3 mm/yr) and precipitation greater than the 95th percentile (R95: with a slope of 0.5 mm/yr) are predominantly observed in decadal trends in regional average extreme precipitation climate change indices over MA. Maritime continental countries exhibit an inclined trend in R10, whereas central Asian arid regions show a decreasing tendency in continuous dry days (CDD). The positive trend in R95 is observed over central India, the monsoon region in China, countries that reside over the equator and some parts of Japan, and the Philippines. When comparing the influence of surface temperature (T) and total column water vapor (TCW) on precipitation climate change indices, TCW seems to be a crucial attributor to climate change indices meridional variability. The mutual correlation analysis depicts that precipitation contributed from extremes (R95) strongly correlates in terms of temporal variability with all extreme precipitation indices. Among various global circulation patterns, the prevalent conditions of sea surface temperature (SST) over the equatorial Pacific Ocean have a significant influence on decadal variability in extreme precipitation climate change indices. R10 and R95 possess a relatively significant correlation (0.86 and 0.91) with the Southern Oscillation Index. The maximum number of consecutive dry days (CDD) shows an increasing trend with a positive phase of the North Atlantic Oscillation Index.
format	article
author	Sunilkumar Khadgarai Vinay Kumar Prabodha Kumar Pradhan
author_facet	Sunilkumar Khadgarai Vinay Kumar Prabodha Kumar Pradhan
author_sort	Sunilkumar Khadgarai
title	The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns
title_short	The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns
title_full	The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns
title_fullStr	The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns
title_full_unstemmed	The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns
title_sort	connection between extreme precipitation variability over monsoon asia and large-scale circulation patterns
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/4844ff676f7246e3b2fc27f5cfbdfc84
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The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns

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