Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China

Abstract Drought is one of the most widespread and destructive hazards over the Loess Plateau (LP) of China. Due to climate change, extremely high temperature accompanied with drought (expressed as hot drought) may lead to intensive losses of both properties and human deaths in future. A hot drought...

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Main Authors: C. X. Sun, G. H. Huang, Y. Fan, X. Zhou, C. Lu, X. Q. Wang
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:Earth's Future
Subjects:
Online Access:https://doi.org/10.1029/2018EF001103
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author C. X. Sun
G. H. Huang
Y. Fan
X. Zhou
C. Lu
X. Q. Wang
author_facet C. X. Sun
G. H. Huang
Y. Fan
X. Zhou
C. Lu
X. Q. Wang
author_sort C. X. Sun
collection DOAJ
description Abstract Drought is one of the most widespread and destructive hazards over the Loess Plateau (LP) of China. Due to climate change, extremely high temperature accompanied with drought (expressed as hot drought) may lead to intensive losses of both properties and human deaths in future. A hot drought probabilistic recognition system is developed to investigate how potential future climate changes will impact the simultaneous occurrence of drought and hot extremes (hot days exceeding certain values) on the LP. Two regional climate models, coupled with multiple bias‐correction techniques and multivariate probabilistic inference, are innovative integrated into the hot drought probabilistic recognition system to reveal the concurrence risk of droughts and hot extremes under different Representative Concentration Pathway (RCP) scenarios. The hot‐day index, TX90p, indicating the number of days with daily maximum temperature (Tmax) exceeding the 90th percentile threshold, and the Standardized Precipitation Index are applied to identify the joint risks on the LP using copula‐based methods. The results show that precipitation will increase throughout most of the LP under both RCP4.5 and RCP8.5 scenarios of 2036–2095, while Tmax may increase significantly all over the LP (1.8–2.7 °C for RCP4.5 and 2.7–3.6 °C for RCP8.5). The joint return periods of Standardized Precipitation Index and TX90p show that fewer stations will experience severe drought with long‐term hot extremes in two future scenarios. However, some stations may experience hot droughts that are more frequent and extreme, particularly certain stations in the southwest and south‐central regions of the LP with recurrence period less than 10 years.
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spelling doaj.art-b635017b4e744f26a469aa9fce85b70b2022-12-22T02:32:43ZengWileyEarth's Future2328-42772019-06-017658760410.1029/2018EF001103Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, ChinaC. X. Sun0G. H. Huang1Y. Fan2X. Zhou3C. Lu4X. Q. Wang5Key Laboratory of Regional Energy and Environmental Systems Optimization, Ministry of Education North China Electric Power University Beijing ChinaCenter for Energy, Environment and Ecology Research, UR‐BNU Beijing Normal University Beijing ChinaCollege of Engineering, Design and Physical Sciences Brunel University London UKFaculty of Engineering and Applied Science University of Regina Regina Saskatchewan CanadaFaculty of Engineering and Applied Science University of Regina Regina Saskatchewan CanadaSchool of Climate Change and Adaptation University of Prince Edward Island Charlottetown Prince Edward Island CanadaAbstract Drought is one of the most widespread and destructive hazards over the Loess Plateau (LP) of China. Due to climate change, extremely high temperature accompanied with drought (expressed as hot drought) may lead to intensive losses of both properties and human deaths in future. A hot drought probabilistic recognition system is developed to investigate how potential future climate changes will impact the simultaneous occurrence of drought and hot extremes (hot days exceeding certain values) on the LP. Two regional climate models, coupled with multiple bias‐correction techniques and multivariate probabilistic inference, are innovative integrated into the hot drought probabilistic recognition system to reveal the concurrence risk of droughts and hot extremes under different Representative Concentration Pathway (RCP) scenarios. The hot‐day index, TX90p, indicating the number of days with daily maximum temperature (Tmax) exceeding the 90th percentile threshold, and the Standardized Precipitation Index are applied to identify the joint risks on the LP using copula‐based methods. The results show that precipitation will increase throughout most of the LP under both RCP4.5 and RCP8.5 scenarios of 2036–2095, while Tmax may increase significantly all over the LP (1.8–2.7 °C for RCP4.5 and 2.7–3.6 °C for RCP8.5). The joint return periods of Standardized Precipitation Index and TX90p show that fewer stations will experience severe drought with long‐term hot extremes in two future scenarios. However, some stations may experience hot droughts that are more frequent and extreme, particularly certain stations in the southwest and south‐central regions of the LP with recurrence period less than 10 years.https://doi.org/10.1029/2018EF001103climate changedrought with hot extremesRCMscopulasjoint risk analysis
spellingShingle C. X. Sun
G. H. Huang
Y. Fan
X. Zhou
C. Lu
X. Q. Wang
Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China
Earth's Future
climate change
drought with hot extremes
RCMs
copulas
joint risk analysis
title Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China
title_full Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China
title_fullStr Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China
title_full_unstemmed Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China
title_short Drought Occurring With Hot Extremes: Changes Under Future Climate Change on Loess Plateau, China
title_sort drought occurring with hot extremes changes under future climate change on loess plateau china
topic climate change
drought with hot extremes
RCMs
copulas
joint risk analysis
url https://doi.org/10.1029/2018EF001103
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