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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ftmdpi:oai:mdpi.com:/2073-4433/12/11/1492/ 2023-05-15T17:37:02+02:00 The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns Sunilkumar Khadgarai Vinay Kumar Prabodha Kumar Pradhan agris 2021-11-11 application/pdf https://doi.org/10.3390/atmos12111492 EN eng Multidisciplinary Digital Publishing Institute Climatology http://dx.doi.org/10.3390/atmos12111492 http://creativecommons.org/licenses/by/3.0/ CC-BY Atmosphere Volume 12 Issue 11 climate change indices extreme precipitation APHRODITE monsoon Asia Text 2021 ftmdpi https://doi.org/10.3390/atmos12111492 2021-11-15T00:35:00Z 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. Text North Atlantic North Atlantic oscillation MDPI Open Access Publishing Aphrodite ENVELOPE(-64.533,-64.533,-68.900,-68.900) Pacific Atmosphere 12 11 1492 |
institution |
Open Polar |
collection |
MDPI Open Access Publishing |
op_collection_id |
ftmdpi |
language |
English |
topic |
climate change indices extreme precipitation APHRODITE monsoon Asia |
spellingShingle |
climate change indices extreme precipitation APHRODITE monsoon Asia Sunilkumar Khadgarai Vinay Kumar Prabodha Kumar Pradhan The Connection between Extreme Precipitation Variability over Monsoon Asia and Large-Scale Circulation Patterns |
topic_facet |
climate change indices extreme precipitation APHRODITE monsoon Asia |
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 |
Text |
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 |
Multidisciplinary Digital Publishing Institute |
publishDate |
2021 |
url |
https://doi.org/10.3390/atmos12111492 |
op_coverage |
agris |
long_lat |
ENVELOPE(-64.533,-64.533,-68.900,-68.900) |
geographic |
Aphrodite Pacific |
geographic_facet |
Aphrodite Pacific |
genre |
North Atlantic North Atlantic oscillation |
genre_facet |
North Atlantic North Atlantic oscillation |
op_source |
Atmosphere Volume 12 Issue 11 |
op_relation |
Climatology http://dx.doi.org/10.3390/atmos12111492 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.3390/atmos12111492 |
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Atmosphere |
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12 |
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11 |
container_start_page |
1492 |
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1766136729017778176 |