TY - JOUR
T1 - Future precipitation-driven meteorological drought changes in the cmip5 multimodel ensembles under 1.5°c and 2°c global warming
AU - Wu, Chuanhao
AU - Yeh, Pat J.F.
AU - Chen, Yi Ying
AU - Hu, Bill X.
AU - Huang, Guoru
N1 - Funding Information:
Acknowledgments. This research was supported by funding from the National Natural Science Foundation of China (Grant 51909106, 51879108), the Natural Science Foundation of Guangdong Province, China (Grant 2018A030310653), The high-level talent project for the ‘‘Pearl River Talent Plan’’ of Guangdong Province (Grant 2017GC010397), the Youth Innovative Talents Project for Guangdong Colleges and Universities (Grant 2017KQNCX010), and the Fundamental Research Funds for the Central Universities (Grant 21617301). The CMIP5 model data used in this study are publicly available from the Canadian Climate Data and Scenarios (CCDS) (http://climatescenarios.canada.ca/?page5main). The CRU TS 3.22 global 0.5° gridded temperature dataset is obtained from the Climatic Research Unit (available at https://crudata.uea.ac.uk/cru/data/hrg/). The GPCC global 1° gridded precipitation dataset is obtained from the Global Precipitation Climatology Centre (https://psl.noaa.gov/data/ gridded/data.gpcc.html#detail).
Funding Information:
This research was supported by funding from the National Natural Science Foundation of China (Grant 51909106, 51879108), the Natural Science Foundation of Guangdong Province, China (Grant 2018A030310653), The high-level talent project for the ??Pearl River Talent Plan?? of Guangdong Province (Grant 2017GC010397), the Youth Innovative Talents Project for Guangdong Colleges and Universities (Grant 2017KQNCX010), and the Fundamental Research Funds for the Central Universities (Grant 21617301). The CMIP5 model data used in this study are publicly available from the Canadian Climate Data and Scenarios (CCDS) (http://climatescenarios.canada.ca/?page=main). The CRU TS 3.22 global 0.5? gridded temperature dataset is obtained from the Climatic Research Unit (available at https://crudata.uea.ac.uk/cru/data/hrg/). The GPCC global 1? gridded precipitation dataset is obtained from the Global Precipitation Climatology Centre (https://psl.noaa.gov/data/ gridded/data.gpcc.html#detail).
Publisher Copyright:
© 2020 American Meteorological Society.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - Anthropogenic forcing is anticipated to increase the magnitude and frequency of precipitation-induced extremes such as the increase in drought risks. However, the model-projected future changes in global droughts remain largely uncertain, particularly in the context of the Paris Agreement targets. Here, by using the standardized precipitation index (SPI), we present a multiscale global assessment of the precipitation-driven meteorological drought characteristics at the 1.5° and 2°C warming levels based on 28 CMIP5 global climate models (GCMs) under three representative concentration pathways scenarios (RCP2.6, RCP4.5, and RCP8.5). The results show large uncertainties in the timing reaching 1.5° and 2°C warming and the changes in drought characteristics among GCMs, especially at longer time scales and under higher RCP scenarios. The multi-GCM ensemble mean projects a general increase in drought frequency (Df) and area (Da) over North America, Europe, and northern Asia at both 1.5° and 2°C of global warming. The additional 0.5°C warming from 1.5° to 2°C is expected to result in a trend toward wetter climatic conditions for most global regions (e.g., North America, Europe, northern Asia, and northern Africa) due to the continuing increase in precipitation under the more intensified 2°C warming. In contrast, the increase in Df is projected only in some parts of southwest Asia, South America, southern Africa, and Australia. Our results highlight the need to consider multiple GCMs in drought projection studies under the context of the Paris Agreement targets to account for large model-dependent uncertainties.
AB - Anthropogenic forcing is anticipated to increase the magnitude and frequency of precipitation-induced extremes such as the increase in drought risks. However, the model-projected future changes in global droughts remain largely uncertain, particularly in the context of the Paris Agreement targets. Here, by using the standardized precipitation index (SPI), we present a multiscale global assessment of the precipitation-driven meteorological drought characteristics at the 1.5° and 2°C warming levels based on 28 CMIP5 global climate models (GCMs) under three representative concentration pathways scenarios (RCP2.6, RCP4.5, and RCP8.5). The results show large uncertainties in the timing reaching 1.5° and 2°C warming and the changes in drought characteristics among GCMs, especially at longer time scales and under higher RCP scenarios. The multi-GCM ensemble mean projects a general increase in drought frequency (Df) and area (Da) over North America, Europe, and northern Asia at both 1.5° and 2°C of global warming. The additional 0.5°C warming from 1.5° to 2°C is expected to result in a trend toward wetter climatic conditions for most global regions (e.g., North America, Europe, northern Asia, and northern Africa) due to the continuing increase in precipitation under the more intensified 2°C warming. In contrast, the increase in Df is projected only in some parts of southwest Asia, South America, southern Africa, and Australia. Our results highlight the need to consider multiple GCMs in drought projection studies under the context of the Paris Agreement targets to account for large model-dependent uncertainties.
KW - Climate change
KW - Climate models
KW - Drought
KW - Hydrometeorology
UR - https://www.scopus.com/pages/publications/85092038634
U2 - 10.1175/JHM-D-19-0299.1
DO - 10.1175/JHM-D-19-0299.1
M3 - Article
AN - SCOPUS:85092038634
SN - 1525-755X
VL - 21
SP - 2177
EP - 2196
JO - Journal of Hydrometeorology
JF - Journal of Hydrometeorology
IS - 9
ER -