Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020
Based on daily maximum temperature (Tmax), minimum temperature (Tmin), and precipitation of the Yangtze River Basin (YRB) from 1961 to 2020, we employed the trend analysis method and correlation analysis method to analyze spatiotemporal variations in 10 extreme indices and their associations with at...
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oai:doaj.org-article:42cb4ba34ad64690a9141c2475fec2582021-11-25T16:44:31ZSpatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–202010.3390/atmos121114232073-4433https://doaj.org/article/42cb4ba34ad64690a9141c2475fec2582021-10-01T00:00:00Zhttps://www.mdpi.com/2073-4433/12/11/1423https://doaj.org/toc/2073-4433Based on daily maximum temperature (Tmax), minimum temperature (Tmin), and precipitation of the Yangtze River Basin (YRB) from 1961 to 2020, we employed the trend analysis method and correlation analysis method to analyze spatiotemporal variations in 10 extreme indices and their associations with atmospheric and oceanic circulations. Results indicated that maximum Tmax (TXx), maximum Tmin (TNx), and minimum Tmin (TNn) all increased significantly, at rates of 0.19 °C, 0.19 °C, and 0.37 °C per decade, respectively, whereas minimum Tmax (TXn) did not show any significant trend. The diurnal temperature range (DTR) decreased by 0.09 °C per decade as minimum temperatures increased faster than maximum temperatures. TNx and TNn increased significantly in the majority of the YRB, but TXn showed no significant increases. TXn increased significantly in the upper reaches of the Yangtze River. The DTR increased significantly in the Jinsha River Basin and the lower reaches of the Yangtze River. Rx1day (maximum 1-day precipitation), SDII (Simple daily intensity index) and R99p (extremely wet-day precipitation) increased significantly, at rates of 1.12 mm, 0.09 mm, and 5.87 mm per decade, respectively, but the trends of Rx5day (maximum 5-day precipitation) and PRCPTOT (total wet-day precipitation) were not significant. However, the trends of precipitation extreme indices were not statistically significant in most of the YRB. In the future, maximum temperature and minimum temperature might increase while DTR might decrease. But, the trends of precipitation extremes in the future were ambiguous. Nearly all the extreme indices were related to the variability of Atlantic multidecadal oscillation (AMO) in the YRB. In addition, the correlations between extreme temperature indices and AMO are higher than that of extreme precipitation indices.Zhe YuanJun YinMengru WeiYong YuanMDPI AGarticleextreme eventstemporal variationsspatial trendsoceanic and atmospheric circulationsYangtze River BasinMeteorology. ClimatologyQC851-999ENAtmosphere, Vol 12, Iss 1423, p 1423 (2021) |
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extreme events temporal variations spatial trends oceanic and atmospheric circulations Yangtze River Basin Meteorology. Climatology QC851-999 |
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extreme events temporal variations spatial trends oceanic and atmospheric circulations Yangtze River Basin Meteorology. Climatology QC851-999 Zhe Yuan Jun Yin Mengru Wei Yong Yuan Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020 |
description |
Based on daily maximum temperature (Tmax), minimum temperature (Tmin), and precipitation of the Yangtze River Basin (YRB) from 1961 to 2020, we employed the trend analysis method and correlation analysis method to analyze spatiotemporal variations in 10 extreme indices and their associations with atmospheric and oceanic circulations. Results indicated that maximum Tmax (TXx), maximum Tmin (TNx), and minimum Tmin (TNn) all increased significantly, at rates of 0.19 °C, 0.19 °C, and 0.37 °C per decade, respectively, whereas minimum Tmax (TXn) did not show any significant trend. The diurnal temperature range (DTR) decreased by 0.09 °C per decade as minimum temperatures increased faster than maximum temperatures. TNx and TNn increased significantly in the majority of the YRB, but TXn showed no significant increases. TXn increased significantly in the upper reaches of the Yangtze River. The DTR increased significantly in the Jinsha River Basin and the lower reaches of the Yangtze River. Rx1day (maximum 1-day precipitation), SDII (Simple daily intensity index) and R99p (extremely wet-day precipitation) increased significantly, at rates of 1.12 mm, 0.09 mm, and 5.87 mm per decade, respectively, but the trends of Rx5day (maximum 5-day precipitation) and PRCPTOT (total wet-day precipitation) were not significant. However, the trends of precipitation extreme indices were not statistically significant in most of the YRB. In the future, maximum temperature and minimum temperature might increase while DTR might decrease. But, the trends of precipitation extremes in the future were ambiguous. Nearly all the extreme indices were related to the variability of Atlantic multidecadal oscillation (AMO) in the YRB. In addition, the correlations between extreme temperature indices and AMO are higher than that of extreme precipitation indices. |
format |
article |
author |
Zhe Yuan Jun Yin Mengru Wei Yong Yuan |
author_facet |
Zhe Yuan Jun Yin Mengru Wei Yong Yuan |
author_sort |
Zhe Yuan |
title |
Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020 |
title_short |
Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020 |
title_full |
Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020 |
title_fullStr |
Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020 |
title_full_unstemmed |
Spatio-Temporal Variations in the Temperature and Precipitation Extremes in Yangtze River Basin, China during 1961–2020 |
title_sort |
spatio-temporal variations in the temperature and precipitation extremes in yangtze river basin, china during 1961–2020 |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/42cb4ba34ad64690a9141c2475fec258 |
work_keys_str_mv |
AT zheyuan spatiotemporalvariationsinthetemperatureandprecipitationextremesinyangtzeriverbasinchinaduring19612020 AT junyin spatiotemporalvariationsinthetemperatureandprecipitationextremesinyangtzeriverbasinchinaduring19612020 AT mengruwei spatiotemporalvariationsinthetemperatureandprecipitationextremesinyangtzeriverbasinchinaduring19612020 AT yongyuan spatiotemporalvariationsinthetemperatureandprecipitationextremesinyangtzeriverbasinchinaduring19612020 |
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