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Projections of Wind Changes for 21st Century in China by Three Regional Climate Models

JIANG Ying LUO Yong ZHAO Zongci SHI Ying XU Yinlong ZHU Jinhong

JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. 中国地理科学, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6
引用本文: JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. 中国地理科学, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6
JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. Chinese Geographical Science, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6
Citation: JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. Chinese Geographical Science, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6

Projections of Wind Changes for 21st Century in China by Three Regional Climate Models

doi: 10.1007/s11769-010-0226-6
基金项目: Under the jointly auspices of the Special Public Research for Meteorological Industry (No.GYHY200806009);Wind Energy Resources Detailed Survey and Assessment Work;EU-China Energy and Environment Program (No.Europe Aid/123310/D/Ser/CN)
详细信息
    通讯作者:

    JIANG Ying.E-mail:jiangy@cma.gov.cn

Projections of Wind Changes for 21st Century in China by Three Regional Climate Models

Funds: Under the jointly auspices of the Special Public Research for Meteorological Industry (No.GYHY200806009);Wind Energy Resources Detailed Survey and Assessment Work;EU-China Energy and Environment Program (No.Europe Aid/123310/D/Ser/CN)
  • 摘要: This paper examines the capability of three regional climate models (RCMs), i.e., RegCM3 (the International Centre for Theoretical Physics Regional Climate Model), PRECIS (Providing Regional Climates for Impacts Studies) and CMM5 (the fifth-generation Pennsylvania State University-the National Center for Atmospheric Research of USA, NCAR Mesoscale Model) to simulate the near-surface-layer winds (10 m above surface) all over China in the late 20th century. Results suggest that like global climate models (GCMs), these RCMs have the certain capability of imitating the distribution of mean wind speed and fail to simulate the greatly weakening wind trends for the past 50 years in the country. However, RCMs especially RegCM3 have the better capability than that of GCMs to simulate the distribution and change feature of mean wind speed. In view of their merits, these RCMs were used to project the variability of near-surface-layer winds over China for the 21st century. The results show that 1) summer mean wind speed for 2020-2029 will be lower compared to those in 1990-1999 in most area of China;2) annual and winter mean wind speed for 2081-2100 will be lower than those of 1971-1990 in the whole China;and 3) the changes of summer mean wind speed for 2081-2100 are uncertain. As a result, although climate models are absolutely necessary for projecting climate change to come, there are great uncertainties in projections, especially for wind speed, and these issues need to be further explored.
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Projections of Wind Changes for 21st Century in China by Three Regional Climate Models

doi: 10.1007/s11769-010-0226-6
    基金项目:  Under the jointly auspices of the Special Public Research for Meteorological Industry (No.GYHY200806009);Wind Energy Resources Detailed Survey and Assessment Work;EU-China Energy and Environment Program (No.Europe Aid/123310/D/Ser/CN)
    通讯作者: JIANG Ying.E-mail:jiangy@cma.gov.cn

摘要: This paper examines the capability of three regional climate models (RCMs), i.e., RegCM3 (the International Centre for Theoretical Physics Regional Climate Model), PRECIS (Providing Regional Climates for Impacts Studies) and CMM5 (the fifth-generation Pennsylvania State University-the National Center for Atmospheric Research of USA, NCAR Mesoscale Model) to simulate the near-surface-layer winds (10 m above surface) all over China in the late 20th century. Results suggest that like global climate models (GCMs), these RCMs have the certain capability of imitating the distribution of mean wind speed and fail to simulate the greatly weakening wind trends for the past 50 years in the country. However, RCMs especially RegCM3 have the better capability than that of GCMs to simulate the distribution and change feature of mean wind speed. In view of their merits, these RCMs were used to project the variability of near-surface-layer winds over China for the 21st century. The results show that 1) summer mean wind speed for 2020-2029 will be lower compared to those in 1990-1999 in most area of China;2) annual and winter mean wind speed for 2081-2100 will be lower than those of 1971-1990 in the whole China;and 3) the changes of summer mean wind speed for 2081-2100 are uncertain. As a result, although climate models are absolutely necessary for projecting climate change to come, there are great uncertainties in projections, especially for wind speed, and these issues need to be further explored.

English Abstract

JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. 中国地理科学, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6
引用本文: JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. 中国地理科学, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6
JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. Chinese Geographical Science, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6
Citation: JIANG Ying, LUO Yong, ZHAO Zongci, SHI Ying, XU Yinlong, ZHU Jinhong. Projections of Wind Changes for 21st Century in China by Three Regional Climate Models[J]. Chinese Geographical Science, 2010, 20(3): 226-235. doi: 10.1007/s11769-010-0226-6
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