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Climate change projections for the Texas High Plains and Rolling Plains

机译:德克萨斯高平原和滚动平原的气候变化预测

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摘要

Potential changes in future climate in the Texas Plains region were investigated in the context of agriculture by analyzing three climate model projections under the A2 climate scenario (medium-high emission scenario). Spatially downscaled historic (1971-2000) and future (2041-2070) climate datasets (rainfall and temperature) were downloaded from the North American Regional Climate Change Assessment Program (NARCCAP). Climate variables predicted by three regional climate models (RCMs) namely the Regional Climate Model Version3-Geophysical Fluid Dynamics Laboratory (RCM3-GFDL), Regional Climate Model Version3-Third Generation Coupled Global Climate Model (RCM3-CGCM3), and Canadian Regional Climate Model-Community Climate System Model (CRCM-CCSM) were evaluated in this study. Gaussian and Gamma distribution mapping techniques were employed to remove the bias in temperature and rainfall data, respectively. Both the minimum and maximum temperatures across the study region in the future showed an upward trend, with the temperatures increasing in the range of 1.9 to 2.9 A degrees C and 2.0 to 3.2 A degrees C, respectively. All three climate models predicted a decline in rainfall within a range of 30 to 127 mm in majority of counties across the study region. In addition, they predicted an increase in the intensity of extreme rainfall events in the future. The frost-free season as predicted by the three models showed an increase by 2.6-3.4 weeks across the region, and the number of frost days declined by 17.9 to 30 %. Overall, these projections indicate considerable changes to the climate in the Texas Plains region in the future, and these changes could potentially impact agriculture in this region.
机译:通过分析A2气候情景(中高排放情景)下的三种气候模式预测,研究了农业背景下德克萨斯平原地区未来气候的潜在变化。从北美区域气候变化评估计划(NARCCAP)下载了按比例缩小的历史(1971-2000)和未来(2041-2070)气候数据集(降雨和温度)。由三个区域气候模型(RCM)预测的气候变量,即区域气候模型第3版-地球物理流体动力学实验室(RCM3-GFDL),区域气候模型第3版-第三代耦合全球气候模型(RCM3-CGCM3)和加拿大区域气候模型-在本研究中评估了社区气候系统模型(CRCM-CCSM)。采用高斯和伽马分布映射技术分别消除温度和降雨数据中的偏差。未来整个研究区域的最低和最高温度均呈上升趋势,温度分别升高1.9至2.9 A摄氏度和2.0至3.2 A摄氏度。所有这三种气候模式都预测该研究区域中大多数县的降雨量在30至127毫米范围内下降。此外,他们预测未来极端降雨事件的强度将会增加。这三个模型预测的无霜季节显示,该地区的无霜期增加了2.6-3.4周,霜冻天数减少了17.9%至30%。总体而言,这些预测表明,未来德克萨斯平原地区的气候将发生重大变化,这些变化可能会影响该地区的农业。

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  • 来源
    《Theoretical and applied climatology》 |2017年第2期|263-280|共18页
  • 作者单位

    IntegraShare Solutioneering Inc, The Woodlands, TX USA;

    Texas A&M Univ Syst, Texas A&M AgriLife Res, Vernon, TX 76384 USA;

    Texas A&M Univ, Dept Geog, College Stn, TX USA|Texas A&M Univ, Dept Comp Sci & Engn, College Stn, TX USA;

    Yale Univ, Ctr Sci & Social Sci Informat, New Haven, CT USA;

    Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX USA;

    Texas A&M Univ, Dept Soil & Crop Sci, College Stn, TX 77843 USA;

    Texas A&M Univ, Dept Ecosyst Sci & Management, College Stn, TX USA;

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