Less reliable water availability in the 21st century climate projections

被引:67
|
作者
Kumar, Sanjiv [1 ,2 ]
Lawrence, David M. [2 ]
Dirmeyer, Paul A. [1 ]
Sheffield, Justin [3 ]
机构
[1] George Mason Univ, Ctr Ocean Land Atmosphere Studies, Fairfax, VA 22030 USA
[2] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[3] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
关键词
Water availability; climate projections; droughts; CMIP5; flood; PRECIPITATION; TRENDS; STREAMFLOW; INCREASE; DROUGHT; PATTERN; RANGE; CMIP5;
D O I
10.1002/2013EF000159
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The temporal variability of river and soil water affects society at time scales ranging from hourly to decadal. The available water (AW), i.e., precipitation minus evapotranspiration, represents the total water available for runoff, soil water storage change, and ground water recharge. The reliability of AW is defined as the annual range of AW between local wet and dry seasons. A smaller annual range represents greater reliability and a larger range denotes less reliability. Here we assess the reliability of AW in the 21st century climate projections by 20 climate models from phase 5 of the Coupled Model Intercomparison Project (CMIP5). The multimodel consensus suggests less reliable AW in the 21st century than in the 20th century with generally decreasing AW in local dry seasons and increasing AW in local wet seasons. In addition to the canonical perspective from climate models that wet regions will get wetter, this study suggests greater dryness during dry seasons even in regions where the mean climate becomes wetter. Lower emission scenarios show significant advantages in terms of minimizing impacts on AW but do not eliminate these impacts altogether. Summary Modeling of future water availability predicts that wet regions become wetter and dry regions become drier, leading to an increasing likelihood of seasonal droughts and floods in regions where such vulnerability is already high.
引用
收藏
页码:152 / 160
页数:9
相关论文
共 50 条
  • [21] Data rescue initiatives: bringing historical climate data into the 21st century
    Brunet, Manola
    Jones, Phil
    CLIMATE RESEARCH, 2011, 47 (1-2) : 29 - 40
  • [22] Projection of American dustiness in the late 21st century due to climate change
    Pu, Bing
    Ginoux, Paul
    SCIENTIFIC REPORTS, 2017, 7
  • [23] Projections of population exposure to hot and dry events in the end of the 21st century on the Iberian Peninsula
    Bento, Virgilio A.
    Lima, Daniela C. A.
    Russo, Ana
    FRONTIERS IN CLIMATE, 2025, 7
  • [24] Projections of 21st century sea level rise for the coast of South Africa
    Allison, Lesley C.
    Palmer, Matthew D.
    Haigh, Ivan D.
    ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2022, 4 (02):
  • [25] High uncertainty in 21st century runoff projections from glacierized basins
    Huss, Matthias
    Zemp, Michael
    Joerg, Philip C.
    Salzmann, Nadine
    JOURNAL OF HYDROLOGY, 2014, 510 : 35 - 48
  • [26] Sources of uncertainties in 21st century projections of potential ocean ecosystem stressors
    Frolicher, Thomas L.
    Rodgers, Keith B.
    Stock, Charles A.
    Cheung, William W. L.
    GLOBAL BIOGEOCHEMICAL CYCLES, 2016, 30 (08) : 1224 - 1243
  • [27] New Zealand River Hydrology under Late 21st Century Climate Change
    Collins, Daniel B. G.
    WATER, 2020, 12 (08)
  • [28] Hydraulics in the 21st century
    McDowell, Nate G.
    Brodribb, Timothy J.
    Nardini, Andrea
    NEW PHYTOLOGIST, 2019, 224 (02) : 537 - 542
  • [29] Building trust in climate science: data products for the 21st century
    Chandler, Richard E.
    Thorne, Peter
    Lawrimore, Jay
    Willett, Kate
    ENVIRONMETRICS, 2012, 23 (05) : 373 - 381
  • [30] Climate Change and the Risk of Mass Violence: Africa in the 21st Century
    Exenberger, Andreas
    Pondorfer, Andreas
    PEACE ECONOMICS PEACE SCIENCE AND PUBLIC POLICY, 2013, 19 (03) : 381 - 392