Dynamically-downscaled temperature and precipitation changes over Saskatchewan using the PRECIS model

被引:13
|
作者
Zhou, Xiong [1 ]
Huang, Guohe [1 ]
Wang, Xiuquan [1 ,2 ]
Cheng, Guanhui [1 ]
机构
[1] Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK S4S 0A2, Canada
[2] Dalhousie Univ, Dept Civil & Resource Engn, Halifax, NS B3H 4R2, Canada
关键词
Global warming; Regional climate modeling; Climate change; Saskatchewan; REGIONAL CLIMATE MODELS; PROJECTIONS; SIMULATION; VARIABLES; SYSTEMS;
D O I
10.1007/s00382-017-3687-9
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this study, dynamically-downscaled temperature and precipitation changes over Saskatchewan are developed through the Providing Regional Climates for Impacts Studies (PRECIS) model. It can resolve detailed features within GCM grids such as topography, clouds, and land use in Saskatchewan. The PRECIS model is employed to carry out ensemble simulations for projections of temperature and precipitation changes over Saskatchewan. Temperature and precipitation variables at 14 weather stations for the baseline period are first extracted from each model run. Ranges of simulated temperature and precipitation variables are then obtained through combination of maximum and minimum values calculated from the five ensemble runs. The performance of PRECIS ensemble simulations can be evaluated through checking if observations of current temperature at each weather station are within the simulated range. Future climate projections are analyzed over three time slices (i.e., the 2030s, 2050s, and 2080s) to help understand the plausible changes in temperature and precipitation over Saskatchewan in response to global warming. The evaluation results show that the PRECIS ensemble simulations perform very well in terms of capturing the spatial patterns of temperature and precipitation variables. The results of future climate projections over three time slices indicate that there will be an obvious warming trend from the 2030s, to the 2050s, and the 2080s over Saskatchewan. The projected changes of mean temperature over the whole Saskatchewan area is [0, 2] A degrees C in the 2030s at 10th percentile, [2, 5.5] A degrees C in the 2050s at 50th percentile, and [3, 10] A degrees C in the 2090s at 90th percentile. There are no significant changes in the spatial patterns of the projected total precipitation from the 2030s to the end of this century. The minimum change of the projected total precipitation over the whole Province of Saskatchewan is most likely to be -1.3% in the 2030s, and -0.2% in the 2050s, while the minimum value would be -2.1% to the end of this century at 50th percentile.
引用
收藏
页码:1321 / 1334
页数:14
相关论文
共 50 条
  • [21] Evaluation of precipitation indices in suites of dynamically and statistically downscaled regional climate models over Florida
    Abhishekh Kumar Srivastava
    Richard Grotjahn
    Paul Aaron Ullrich
    Colin Zarzycki
    Climate Dynamics, 2022, 58 : 1587 - 1611
  • [22] Evaluation of precipitation indices in suites of dynamically and statistically downscaled regional climate models over Florida
    Srivastava, Abhishekh Kumar
    Grotjahn, Richard
    Ullrich, Paul Aaron
    Zarzycki, Colin
    CLIMATE DYNAMICS, 2022, 58 (5-6) : 1587 - 1611
  • [23] Future changes in precipitation and temperature in Central America and Caribbean using statistical downscaled climatic projections
    Castillo, Rodrigo
    Montero, Rosangelica
    Amador, Jorge
    Maria Duran, Ana
    REVISTA DE CLIMATOLOGIA, 2018, 18 : 1 - 12
  • [24] European extra-tropical storm damage risk from a multi-model ensemble of dynamically-downscaled global climate models
    Haylock, M. R.
    NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2011, 11 (10) : 2847 - 2857
  • [25] An assessment of Pinus contorta seed production in British Columbia: Geographic variation and dynamically-downscaled climate correlates from the Canadian Regional Climate Model
    Lew, Alicia
    von Aderkas, Patrick
    Berland, Anne
    Curry, Charles L.
    Lacourse, Terri
    Tencer, Barbara
    Weaver, Andrew
    AGRICULTURAL AND FOREST METEOROLOGY, 2017, 236 : 194 - 210
  • [26] Dynamically Downscaled Precipitation over Northern California Based on CMIP5 Future Climate Projections
    Ishida, K.
    Kavvas, M. L.
    Gorguner, M.
    Trinh, T.
    Ercan, A.
    WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2017: GROUNDWATER, SUSTAINABILITY, AND HYDRO-CLIMATE/CLIMATE CHANGE, 2017, : 374 - 383
  • [27] Projected changes in extreme precipitation events over China in the 21st century using PRECIS
    Zhang, Yujing
    Fu, Liang
    Meng, Chunchun
    Zhang, Lei
    Xu, Yinlong
    CLIMATE RESEARCH, 2019, 79 (02) : 91 - 107
  • [28] Evaluation of dynamically downscaled extreme temperature using a spatially-aggregated generalized extreme value (GEV) model
    Jiali Wang
    Yuefeng Han
    Michael L. Stein
    Veerabhadra R. Kotamarthi
    Whitney K. Huang
    Climate Dynamics, 2016, 47 : 2833 - 2849
  • [29] Trends in sub-daily precipitation in Tasmania using regional dynamically downscaled climate projections
    Brown, Katherine
    Kamruzzaman, Mohammad
    Beecham, Simon
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2017, 10 : 18 - 34
  • [30] Projected changes of temperature and precipitation in Texas from downscaled global climate models
    Jiang, Xiaoyan
    Yang, Zong-Liang
    CLIMATE RESEARCH, 2012, 53 (03) : 229 - 244