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DOI | 10.1002/joc.5975 |
Fifteen-year statistical analysis of cloud characteristics over China using Terra and Aqua Moderate Resolution Imaging Spectroradiometer observations | |
Zhao, Chuanfeng1,2,3; Chen, Yuyang1,2,3; Li, Jiming4; Letu, Husi5; Su, Yunfei1,2,3; Chen, Tianmeng1,2,3; Wu, Xiaolin1,2,3 | |
2019-04-01 | |
发表期刊 | INTERNATIONAL JOURNAL OF CLIMATOLOGY |
ISSN | 0899-8418 |
EISSN | 1097-0088 |
出版年 | 2019 |
卷号 | 39期号:5页码:2612-2629 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China |
英文摘要 | Using 15-year observations obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS) on board both NASA Terra and Aqua from March 2003 to February 2018, this study investigated the spatio-temporal variations of both macro- and micro-physical cloud properties over China, including cloud fraction (CF), cloud top pressure (CTP), cloud top temperature (CTT), cloud optical thickness (COT), and effective radius (r(e)) of both liquid water and ice clouds. Multi-year averaged CF is around 61% over whole China region. However, CF varies with both regions and seasons. The CFs are about 6-8% larger in summer and winter (64-65%) than in spring and autumn (58%). By classifying China into five regimes, which are northwestern China (NW), northeastern China (NE), Tibetan Plateau (TP), northern China (N), and southern China (S), there is a clear CF regional distribution pattern. In general, there are large amount of clouds in S and southeast of TP, and small amount in NE, N, NW and most TP. Moreover, there are generally more clouds over ocean than over land, and much more clouds over S than over N. The CFs are larger (smaller) in the afternoon than in the morning over most land (ocean) regions. Furthermore, the largest CF differences between afternoon and morning occur over the TP region in China. COT demonstrates almost the same regional distribution pattern as the CF for all four seasons. Specifically, COT is higher in S than in N, which is most likely associated with the type of clouds and the availability of water vapour. Cloud r(e) shows larger values in NW and TP than in eastern China regions in all seasons except for summer, which could be related to the heavy aerosol pollution in eastern China regions. Accompanying with the cold cloud tops over TP, a low CTP centre is often located there. |
英文关键词 | China cloud effective radius cloud fraction cloud optical thickness cloud top pressure MODIS |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000467048900008 |
WOS关键词 | AIRCRAFT OBSERVATIONS ; TIBETAN PLATEAU ; SPATIOTEMPORAL DISTRIBUTIONS ; SEASONAL-VARIATION ; RADIATION BUDGET ; EFFECTIVE RADIUS ; WATER-VAPOR ; NAQU SITE ; CLIMATE ; AEROSOL |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/182116 |
专题 | 气候变化 |
作者单位 | 1.Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; 2.Beijing Normal Univ, Coll Global Change & Earth Syst Sci, Beijing 100875, Peoples R China; 3.Beijing Normal Univ, Joint Ctr Global Change Studies, Beijing, Peoples R China; 4.Lanzhou Univ, Coll Atmospher Sci, Minist Educ, Key Lab Semiarid Climate Change, Lanzhou, Peoples R China; 5.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Chuanfeng,Chen, Yuyang,Li, Jiming,et al. Fifteen-year statistical analysis of cloud characteristics over China using Terra and Aqua Moderate Resolution Imaging Spectroradiometer observations[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2019,39(5):2612-2629. |
APA | Zhao, Chuanfeng.,Chen, Yuyang.,Li, Jiming.,Letu, Husi.,Su, Yunfei.,...&Wu, Xiaolin.(2019).Fifteen-year statistical analysis of cloud characteristics over China using Terra and Aqua Moderate Resolution Imaging Spectroradiometer observations.INTERNATIONAL JOURNAL OF CLIMATOLOGY,39(5),2612-2629. |
MLA | Zhao, Chuanfeng,et al."Fifteen-year statistical analysis of cloud characteristics over China using Terra and Aqua Moderate Resolution Imaging Spectroradiometer observations".INTERNATIONAL JOURNAL OF CLIMATOLOGY 39.5(2019):2612-2629. |
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