中国地理科学 ›› 2019, Vol. 20 ›› Issue (2): 306-315.doi: 10.1007/s11769-019-1030-6

• 论文 • 上一篇    下一篇

Changes in Global Cloud Cover Based on Remote Sensing Data from 2003 to 2012

MAO Kebiao1,2, YUAN Zijin1, ZUO Zhiyuan1, XU Tongren2, SHEN Xinyi3, GAO Chunyu1   

  1. 1. National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Plan-ning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
    2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100086, China;
    3. Hydrometeorology and Remote Sensing Laboratory, University of Oklahoma, Norman 73072, USA
  • 收稿日期:2017-11-16 出版日期:2019-04-27 发布日期:2019-02-23
  • 通讯作者: MAO Kebiao.E-mail:maokebiao@caas.cn E-mail:maokebiao@caas.cn
  • 基金资助:

    Under the auspices of the National Key Project of China (No. 2018YFC1506602, 2018YFC1506502), National Natural Science Foundation of China (No. 41571427), the Anhui Natural Science Foundation (No. 1808085MF195), Open Fund of State Key Laboratory of Remote Sensing Science (No. OFSLRSS201708)

Changes in Global Cloud Cover Based on Remote Sensing Data from 2003 to 2012

MAO Kebiao1,2, YUAN Zijin1, ZUO Zhiyuan1, XU Tongren2, SHEN Xinyi3, GAO Chunyu1   

  1. 1. National Hulunber Grassland Ecosystem Observation and Research Station, Institute of Agricultural Resources and Regional Plan-ning, Chinese Academy of Agricultural Sciences, Beijing 100081, China;
    2. State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth Research, Chinese Academy of Science and Beijing Normal University, Beijing 100086, China;
    3. Hydrometeorology and Remote Sensing Laboratory, University of Oklahoma, Norman 73072, USA
  • Received:2017-11-16 Online:2019-04-27 Published:2019-02-23
  • Contact: MAO Kebiao E-mail:maokebiao@caas.cn
  • Supported by:

    Under the auspices of the National Key Project of China (No. 2018YFC1506602, 2018YFC1506502), National Natural Science Foundation of China (No. 41571427), the Anhui Natural Science Foundation (No. 1808085MF195), Open Fund of State Key Laboratory of Remote Sensing Science (No. OFSLRSS201708)

摘要:

As is well known, clouds impact the radiative budget, climate change, hydrological processes, and the global carbon, nitrogen and sulfur cycles. To understand the wide-ranging effects of clouds, it is necessary to assess changes in cloud cover at high spatial and temporal resolution. In this study, we calculate global cloud cover during the day and at night using cloud products estimated from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Results indicate that the global mean cloud cover from 2003 to 2012 was 66%. Moreover, global cloud cover increased over this recent decade. Specifically, cloud cover over land areas (especially North America, Antarctica, and Europe) decreased (slope=-0.001, R2=0.5254), whereas cloud cover over ocean areas (especially the Indian and Pacific Oceans) increased (slope=0.0011, R2=0.4955). Cloud cover is relatively high between the latitudes of 36°S and 68°S compared to other regions, and cloud cover is lowest over Oceania and Antarctica. The highest rates of increase occurred over Southeast Asia and Oceania, whereas the highest rates of decrease occurred over Antarctica and North America. The global distribution of cloud cover regulates global temperature change, and the trends of these two variables over the 10-year period examined in this study (2003-2012) oppose one another in some regions. These findings are very important for studies of global climate change.

关键词: global cloud cover, climate change, remote sensing, MODIS, global change

Abstract:

As is well known, clouds impact the radiative budget, climate change, hydrological processes, and the global carbon, nitrogen and sulfur cycles. To understand the wide-ranging effects of clouds, it is necessary to assess changes in cloud cover at high spatial and temporal resolution. In this study, we calculate global cloud cover during the day and at night using cloud products estimated from Moderate Resolution Imaging Spectroradiometer (MODIS) data. Results indicate that the global mean cloud cover from 2003 to 2012 was 66%. Moreover, global cloud cover increased over this recent decade. Specifically, cloud cover over land areas (especially North America, Antarctica, and Europe) decreased (slope=-0.001, R2=0.5254), whereas cloud cover over ocean areas (especially the Indian and Pacific Oceans) increased (slope=0.0011, R2=0.4955). Cloud cover is relatively high between the latitudes of 36°S and 68°S compared to other regions, and cloud cover is lowest over Oceania and Antarctica. The highest rates of increase occurred over Southeast Asia and Oceania, whereas the highest rates of decrease occurred over Antarctica and North America. The global distribution of cloud cover regulates global temperature change, and the trends of these two variables over the 10-year period examined in this study (2003-2012) oppose one another in some regions. These findings are very important for studies of global climate change.

Key words: global cloud cover, climate change, remote sensing, MODIS, global change