CMIP6 precipitation and temperature projections for Chile

被引:10
|
作者
Salazar, Alvaro [1 ,2 ]
Thatcher, Marcus [3 ]
Goubanova, Katerina [4 ]
Bernal, Patricio [5 ]
Gutierrez, Julio [1 ,2 ,4 ]
Squeo, Francisco [1 ,2 ,4 ]
机构
[1] Barrio Univ, Inst Ecol & Biodivers IEB, Victoria 631, Concepcion, Chile
[2] Univ La Serena, Fac Ciencias, Dept Biol, Casilla 554, La Serena, Chile
[3] CSIRO Environm, Aspendale, Vic 3195, Australia
[4] Ctr Estudios Avanzados Zonas Aridas CEAZA, La Serena, Chile
[5] CSIRO Chile Res Fdn, Santiago, Chile
关键词
General circulation models; IPCC; South America; Andes; Climate projections; Chile; REGIONAL CLIMATE; ANDES; UNCERTAINTIES; HYDROCLIMATE; VARIABILITY; MEGADROUGHT; EXPANSION; IMPACTS; DROUGHT; DECLINE;
D O I
10.1007/s00382-023-07034-9
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Precipitation and near-surface temperature from an ensemble of 36 new state-of-the-art climate models under the Coupled Model Inter-comparison Project phase 6 (CMIP6) are evaluated over Chile's climate. The analysis is focused on four distinct climatic subregions: Northern Chile, Central Chile, Northern Patagonia, and Southern Patagonia. Over each of the subregions, first, we evaluate the performance of individual global climate models (GCMs) against a suit of precipitation and temperature observation-based gridded datasets over the historical period (1986-2014) and then we analyze the models' projections for the end of the century (2080-2099) for four different shared socioeconomic pathways scenarios (SSP). Although the models are characterized by general wet and warm mean bias, they reproduce realistically the main spatiotemporal climatic variability over different subregions. However, none of the models is best across all subregions for both precipitation and temperature. Moreover, among the best performing models defined based on the Taylor skill score, one finds the so-called "hot models" likely exhibiting an overestimated climate sensitivity, which suggests caution in using these models for accessing future climate change in Chile. We found robust (90% of models agree in the direction of change) projected end-of-the-century reductions in mean annual precipitation for Central Chile (similar to - 20 to similar to - 40%) and Northern Patagonia (similar to - 10 to similar to - 30%) under scenario SSP585, but changes are strong from scenario SSP245 onwards, where precipitation is reduced by 10-20%. Northern Chile and Southern Patagonia show non-robust changes in precipitation across the models. Yet, future near-surface temperature warming presented high inter-model agreement across subregions, where the greatest increments occurred along the Andes Mountains. Northern Chile displays the strongest increment of up to similar to 6 degrees C in SSP585, followed by Central Chile (up to similar to 5 degrees C). Both Northern and Southern Patagonia show a corresponding increment by up to similar to 4 degrees C. We also briefly discuss about the environmental and socio-economic implications of these future changes for Chile.
引用
收藏
页码:2475 / 2498
页数:24
相关论文
共 50 条
  • [41] Comparison of precipitation projections of CMIP5 and CMIP6 global climate models over Yulin, China
    Mohammed Sanusi Shiru
    Eun-Sung Chung
    Shamsuddin Shahid
    Xiao-jun Wang
    Theoretical and Applied Climatology, 2022, 147 : 535 - 548
  • [42] Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala
    Rivera, Paris
    EARTH SYSTEMS AND ENVIRONMENT, 2023, 7 (01) : 43 - 65
  • [43] Evaluation of Historical Simulations of CMIP6 Models for Temperature and Precipitation in Guatemala
    Paris Rivera
    Earth Systems and Environment, 2023, 7 : 43 - 65
  • [44] Projected Change in Temperature and Precipitation Over Africa from CMIP6
    Mansour Almazroui
    Fahad Saeed
    Sajjad Saeed
    M. Nazrul Islam
    Muhammad Ismail
    Nana Ama Browne Klutse
    Muhammad Haroon Siddiqui
    Earth Systems and Environment, 2020, 4 : 455 - 475
  • [45] Assessment of CMIP6 model performance for temperature and precipitation in Xinjiang, China
    Zhang, Xiaolu
    Hua, Lijuan
    Jiang, Dabang
    ATMOSPHERIC AND OCEANIC SCIENCE LETTERS, 2022, 15 (02)
  • [46] Assessment of CMIP6 model performance for temperature and precipitation in Xinjiang, China
    Xiaolu Zhang
    Lijuan Hua
    Dabang Jiang
    AtmosphericandOceanicScienceLetters, 2022, 15 (02) : 41 - 48
  • [47] Changes in Annual Extremes of Daily Temperature and Precipitation in CMIP6 Models
    Li, Chao
    Zwiers, Francis
    Zhang, Xuebin
    Li, Guilong
    Sun, Ying
    Wehner, Michael
    JOURNAL OF CLIMATE, 2021, 34 (09) : 3441 - 3460
  • [48] A CMIP6-ensemble-based evaluation of precipitation and temperature projections
    Yilmaz, Banu
    Aras, Egemen
    Nacar, Sinan
    THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (08) : 7377 - 7401
  • [49] Spatiotemporal projections of extreme precipitation over Algeria based on CMIP6 global climate models
    Sahabi-Abed, Salah
    Ayugi, Brian Odhiambo
    Selmane, Ahmed Nour-EL-Islam
    MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (03) : 3011 - 3028
  • [50] The future of droughts in Iran according to CMIP6 projections
    Yousefi, Hossein
    Ahani, Ali
    Moridi, Ali
    Razavi, Saman
    HYDROLOGICAL SCIENCES JOURNAL, 2024, 69 (07) : 951 - 970