Changes in Spring Snowpack for Selected Basins in the United States for Different Climate-Change Scenarios

被引:12
|
作者
Mastin, Mark C. [1 ]
Chase, Katherine J. [2 ]
Dudley, R. W. [3 ]
机构
[1] US Geol Survey, Tacoma, WA 98402 USA
[2] US Geol Survey, Helena, MT USA
[3] US Geol Survey, Augusta, ME USA
关键词
Climate change; Snow-water equivalent; Watershed modeling; NEW-ENGLAND; VARIABILITY; TRENDS;
D O I
10.1175/2010EI368.1
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Spring snowpack is an important water resource in many river basins in the United States in areas where snowmelt comprises a large part of the annual runoff. Increasing temperatures will likely reduce snowpacks in the future, resulting in more winter runoff and less available water during the summer low-flow season. As part of the National Climate Change Modeling Project by the U.S. Geological Survey, distributed watershed-model output was analyzed to characterize areal extent and water-equivalent volumes of spring snowpack for a warming climate. The output from seven selected watershed models from the mountainous western United States and one model from coastal Maine in the northeastern United States shows a future of declining spring snowpack. Snow-cover area (SCA) and snow-water equivalent (SWE) were used to compare the spring snowpack for current conditions (2006) with three time periods in the future (2030, 2060, and 2090) using three Intergovernmental Panel on Climate Change (IPCC) emission scenarios published in the 2007 Special Report on Emission Scenarios (SRES): A2, B1, and A1B. Distributed SWE and SCA values were sorted into elevation zones in each basin. The change in spring snowpack over time was greater than the change among different emission scenarios, suggesting that, even for a globally reduced carbon emission scenario, large decreases in SWE are likely to occur. The SRES A2 scenario resulted in the greatest decrease in SWE for six of the basins, and the SRES B1 and A1B scenarios resulted in the greatest decrease in one basin each.
引用
收藏
页码:1 / 18
页数:18
相关论文
共 50 条
  • [1] Characterizing Climate-Change Impacts on the 1.5-yr Flood Flow in Selected Basins across the United States: A Probabilistic Approach
    Walker, John F.
    Hay, Lauren E.
    Markstrom, Steven L.
    Dettinger, Michael D.
    EARTH INTERACTIONS, 2011, 15 : 1 - 16
  • [2] CLIMATE-CHANGE SCENARIOS FOR THE ASSESSMENTS OF THE CLIMATE-CHANGE ON REGIONAL ECOSYSTEMS
    VINER, D
    HULME, M
    RAPER, SCB
    JOURNAL OF THERMAL BIOLOGY, 1995, 20 (1-2) : 175 - 190
  • [3] REGIONAL CLIMATE-CHANGE SCENARIOS OVER THE UNITED-STATES PRODUCED WITH A NESTED REGIONAL CLIMATE MODEL
    GIORGI, F
    BRODEUR, CS
    BATES, GT
    JOURNAL OF CLIMATE, 1994, 7 (03) : 375 - 399
  • [4] EFFECT OF SIMULATED CLIMATE-CHANGE ON SNOWMELT RUNOFF MODELING IN SELECTED BASINS
    VANKATWIJK, VF
    RANGO, A
    CHILDRESS, AE
    WATER RESOURCES BULLETIN, 1993, 29 (05): : 755 - 766
  • [5] Changes in wood anatomical traits in Scots pine under different climate-change scenarios
    Seo, Jeong-Wook
    Eckstein, Dieter
    Buras, Allan
    Fromm, Joerg
    Wilmking, Martin
    Olbrich, Andrea
    IAWA JOURNAL, 2020, 41 (02) : 202 - 218
  • [6] CLIMATE-CHANGE SCENARIOS - COMPARISONS OF PALEORECONSTRUCTIONS WITH RECENT TEMPERATURE-CHANGES
    SHABALOVA, MV
    KONNEN, GP
    CLIMATIC CHANGE, 1995, 29 (04) : 409 - 428
  • [7] Climate change-resilient snowpack estimation in the Western United States
    Cowherd, Marianne
    Mital, Utkarsh
    Rahimi, Stefan
    Girotto, Manuela
    Schwartz, Andrew
    Feldman, Daniel
    COMMUNICATIONS EARTH & ENVIRONMENT, 2024, 5 (01):
  • [8] Surrogate climate-change scenarios for regional climate models
    Schar, C
    Frei, C
    Luthi, D
    Davies, HC
    GEOPHYSICAL RESEARCH LETTERS, 1996, 23 (06) : 669 - 672
  • [9] Climate-change scenarios for Australia and New Zealand
    Whetton, P
    Mullan, AB
    Pittock, AB
    GREENHOUSE: COPING WITH CLIMATE CHANGE, 1996, : 145 - 168
  • [10] Debating the bedrock of climate-change mitigation scenarios
    Kevin Anderson
    Jessica Jewell
    Nature, 2019, 573 (7774) : 348 - 349