首页> 外文期刊>The Science of the Total Environment >Analysis of future climate change impacts on snow distribution over mountainous watersheds in Northern California by means of a physically-based snow distribution model
【24h】

Analysis of future climate change impacts on snow distribution over mountainous watersheds in Northern California by means of a physically-based snow distribution model

机译:基于物理的积雪分布模型,分析未来气候变化对北加利福尼亚山区流域积雪分布的影响

获取原文
获取原文并翻译 | 示例
       

摘要

The impacts of climate change on snow distribution through the 21st century were investigated over three mountainous watersheds in Northern California by means of a physically-based snow distribution model. The future climate conditions during a 90-year future period from water year 2010 to 2100 were obtained from 13 future climate projection realizations from two GCMs (ECHAM5 and CCSM3) based on four SRES scenarios (A1B, A1FI, A2, and B1). The 13 future climate projection realizations were dynamically downscaled at 9 km resolution by a regional climate model. Using the downscaled variables based on the 13 future climate projection realizations, snow distribution over the Feather, Yuba, and American River watersheds (FRW, YRW, and ARW) was projected by means of the physically-based snow model. FRW and YRW watersheds cover the main source areas of the California StateWater Project (SWP), and ARW is one of the key watersheds in the California Central Valley Project (CVP). SWP and CVP are of great importance as they provide and regulate much of the California's water for drinking, irrigation, flood control, environmental, and hydro-power generation purposes. Ensemble average snow distribution over the study watersheds was calculated over the 13 realizations and for each scenario, revealing differences among the scenarios. While the snow reduction through the 21st century was similar between A1B and A2, the snow reduction was milder for B1, and more severe for A1FI. A significant downward trend was detected in the snowpack over nearly the entire watershed areas for all the ensemble average results. (C) 2018 Elsevier B.V. All rights reserved.
机译:通过基于物理的积雪分布模型,研究了21世纪气候变化对北加州三个山区流域的积雪影响。从两个GCM(ECHAM5和CCSM3)基于四个SRES情景(A1B,A1FI,A2和B1)从13个未来气候预测实现中获得了从2010水年到2100年这90年的未来气候条件。通过区域气候模型,将9个未来的13个未来气候预测实现动态缩小为9 km分辨率。使用基于13个未来气候预测实现的缩减变量,通过基于物理的降雪模型预测了羽毛,浴霸和美国河流流域(FRW,YRW和ARW)的降雪分布。 FRW和YRW流域涵盖了加利福尼亚州立水项目(SWP)的主要水源地,ARW是加利福尼亚中央山谷项目(CVP)的关键流域之一。 SWP和CVP非常重要,因为它们为饮用水,灌溉,防洪,环境和水力发电目的提供和调节加利福尼亚的大部分水。整个研究流域的集合平均降雪分布是在13个实现中针对每种场景计算得出的,揭示了场景之间的差异。尽管A1B和A2到21世纪的降雪量相似,但B1的降雪量较小,而A1FI的降雪量则更为严重。对于所有总体平均结果,在几乎整个集水区的积雪中都发现了明显的下降趋势。 (C)2018 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2018年第15期|1065-1082|共18页
  • 作者单位

    Univ Calif Davis, Dept Civil & Environm Engn, Hydrol Res Lab, One Shields Ave, Davis, CA 95616 USA;

    Univ Calif Davis, Dept Civil & Environm Engn, J Amorocho Hydraul Lab, One Shields Ave, Davis, CA 95616 USA;

    Univ Calif Davis, Dept Civil & Environm Engn, Hydrol Res Lab, One Shields Ave, Davis, CA 95616 USA;

    Univ Calif Davis, Dept Civil & Environm Engn, Hydrol Res Lab, One Shields Ave, Davis, CA 95616 USA;

    Univ Wyoming, Civil & Architectural Engn, Laramie, WY 82071 USA;

    Univ Calif Davis, Dept Civil & Environm Engn, J Amorocho Hydraul Lab, One Shields Ave, Davis, CA 95616 USA;

    Calif Dept Water Resources, Sacramento, CA 95821 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Snow distribution; Future climate projections; Physically-based snow model; Dynamical downscaling;

    机译:降雪分布;未来气候预测;基于物理的降雪模型;动态降尺度;
  • 入库时间 2022-08-18 03:58:35

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号