Influences of climate change on California and Nevada regions revealed by a high-resolution dynamical downscaling study

被引:0
|
作者
Lin-Lin Pan
Shu-Hua Chen
Dan Cayan
Mei-Ying Lin
Quinn Hart
Ming-Hua Zhang
Yubao Liu
Jianzhong Wang
机构
[1] University of California,Department of Land, Air and Water Resources
[2] National Center for Atmospheric Research,Research Applications Laboratory
[3] University of California,Scripps Institution of Oceanography
[4] Taiwan Typhoon and Flood Research Institute,undefined
[5] California Department of Water Resources,undefined
来源
Climate Dynamics | 2011年 / 37卷
关键词
Statistical Downscaling; Dynamical Downscaling; Global Forecast System; Freezing Level; Probability Distribution Function;
D O I
暂无
中图分类号
学科分类号
摘要
In this study, the influence of climate change to California and Nevada regions was investigated through high-resolution (4-km grid spacing) dynamical downscaling using the WRF (Weather Research & Forecasting) model. The dynamical downscaling was performed to both the GFS (Global forecast model) reanalysis (called GFS-WRF runs) from 2000–2006 and PCM (Parallel Climate Model) simulations (called PCM-WRF runs) from 1997–2006 and 2047–2056. The downscaling results were first validated by comparing current model outputs with the observational analysis PRISM (Parameter-elevation Regressions on Independent Slopes Model) dataset. In general, the dominant features from GFS-WRF runs and PCM-WRF runs were consistent with each other, as well as with PRISM results. The influences of climate change on the California and Nevada regions can be inferred from the model future runs. The averaged temperature showed a positive trend in the future, as in other studies. The temperature increases by around 1–2°C under the assumption of business as usual over 50 years. This leads to an upward shifting of the freezing level (the contour line of 0°C temperature) and more rain instead of snow in winter (December, January, and February). More hot days (>32.2°C or 90°F) and extreme hot days (>37.8°C or 100°F) are predicted in the Sacramento Valley and the southern parts of California and Nevada during summer (June, July, and August). More precipitation is predicted in northern California but not in southern California. Rainfall frequency slightly increases in the coast regions, but not in the inland area. No obvious trend of the surface wind was indicated. The probability distribution functions (PDF) of daily temperature, wind and precipitation for California and Nevada showed no significant change in shape in either winter or summer. The spatial distributions of precipitation frequency from GFS-WRF and PCM-WRF were highly correlated (r = 0.83). However, overall positive shifts were seen in the temperature field; increases of 2°C for California and 3°C for Nevada in summer and 2.5°C for California and 1.5°C for Nevada in winter. The PDFs predicted higher precipitation in winter and lower precipitation in the summer for both California and Nevada.
引用
收藏
页码:2005 / 2020
页数:15
相关论文
共 50 条
  • [1] Influences of climate change on California and Nevada regions revealed by a high-resolution dynamical downscaling study
    Pan, Lin-Lin
    Chen, Shu-Hua
    Cayan, Dan
    Lin, Mei-Ying
    Hart, Quinn
    Zhang, Ming-Hua
    Liu, Yubao
    Wang, Jianzhong
    [J]. CLIMATE DYNAMICS, 2011, 37 (9-10) : 2005 - 2020
  • [2] Regional climate of hazardous convective weather through high-resolution dynamical downscaling
    Trapp, Robert J.
    Robinson, Eric D.
    Baldwin, Michael E.
    Diffenbaugh, Noah S.
    Schwedler, Benjamin R. J.
    [J]. CLIMATE DYNAMICS, 2011, 37 (3-4) : 677 - 688
  • [3] High-resolution climate projection dataset over India using dynamical downscaling
    Barik, Anasuya
    Sahoo, Sanjeeb Kumar
    Kumari, Sarita
    Roy, Somnath Baidya
    [J]. GEOSCIENCE DATA JOURNAL, 2024,
  • [4] Regional climate of hazardous convective weather through high-resolution dynamical downscaling
    Robert J. Trapp
    Eric D. Robinson
    Michael E. Baldwin
    Noah S. Diffenbaugh
    Benjamin R. J. Schwedler
    [J]. Climate Dynamics, 2011, 37 : 677 - 688
  • [5] Dynamical Downscaling for Climate Projection with High-Resolution MRI AGCM-RCM
    Kitoh, Akio
    Ose, Tomoaki
    Takayabu, Izuru
    [J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2016, 94A : 1 - 16
  • [6] The Impact of Climate Change on Hazardous Convective Weather in the United States: Insight from High-Resolution Dynamical Downscaling
    Hoogewind, Kimberly A.
    Baldwin, Michael E.
    Trapp, Robert J.
    [J]. JOURNAL OF CLIMATE, 2017, 30 (24) : 10081 - 10100
  • [7] A high-resolution ocean-atmosphere coupled downscaling of the present climate over California
    Haiqin Li
    Masao Kanamitsu
    Song-You Hong
    Kei Yoshimura
    Daniel R. Cayan
    Vasubandhu Misra
    [J]. Climate Dynamics, 2014, 42 : 701 - 714
  • [8] A high-resolution ocean-atmosphere coupled downscaling of the present climate over California
    Li, Haiqin
    Kanamitsu, Masao
    Hong, Song-You
    Yoshimura, Kei
    Cayan, Daniel R.
    Misra, Vasubandhu
    [J]. CLIMATE DYNAMICS, 2014, 42 (3-4) : 701 - 714
  • [9] Monsoon Climate Change Projection for the Orographic West Coast of India Using High-Resolution Nested Dynamical Downscaling Model
    Jayasankar, C. B.
    Rajendran, Kavirajan
    Surendran, Sajani
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2018, 123 (15) : 7821 - 7838
  • [10] High-Resolution Climate Projections for the Northeastern United States Using Dynamical Downscaling at Convection-Permitting Scales
    Komurcu, M.
    Emanuel, K. A.
    Huber, M.
    Acosta, R. P.
    [J]. EARTH AND SPACE SCIENCE, 2018, 5 (11) : 801 - 826