DOI: 10.1175/JCLI-D-12-00204.1
Scopus记录号: 2-s2.0-84878149325
论文题名: Arctic cloud characteristics as derived from MODIS, CALIPSO, and cloudsat
作者: Chan M.A. ; Comiso J.C.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 10 起始页码: 3285
结束页码: 3306
语种: 英语
Scopus关键词: Annual average
; Arctic regions
; Cloud detection
; Cloud profiling radar
; Cloud-aerosol lidar with orthogonal polarizations
; Infrared bands
; Moderate resolution imaging spectroradiometer
; Seasonal dependence
; Clouds
; Optical radar
; Satellite imagery
; Sea ice
; Sensors
; Radiometers
; accuracy assessment
; CALIPSO
; cloud cover
; CloudSat
; MODIS
; sea ice
; Arctic
; Greenland
英文摘要: The Moderate Resolution Imaging Spectroradiometer (MODIS), Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP), and CloudSat Cloud Profiling Radar (CPR) set of sensors, all in the Afternoon Constellation (A-Train), has been regarded as among the most powerful tools for characterizing the cloud cover. While providing good complementary information, the authors also observed that, at least for the Arctic region, the different sensors provide significantly different statistics about cloud cover characteristics. Data in 2007 and 2010 were analyzed, and the annual averages of cloud cover in the Arctic region were found to be 66.8%, 78.4%, and 63.3% as derived from MODIS, CALIOP, and CPR, respectively. A large disagreement between MODIS and CALIOP over sea ice and Greenland is observed, with a cloud percentage difference of 30.9% and 31.5%, respectively. In the entire Arctic, the average disagreement between MODIS and CALIOP increased from 13.1% during daytime to 26.7% during nighttime. Furthermore, the MODIS cloud mask accuracy has a high seasonal dependence, in that MODIS-CALIOP disagreement is the lowest during summertime at 10.7% and worst during winter at 28.0%. During nighttime the magnitude of the bias is higher because cloud detection is limited to the use of infrared bands. The clouds not detected by MODIS are typically low-level (top height <2 km) and high-level clouds (top height.6 km) and, especially, those that are geometrically thin (<2 km). Geometrically thin clouds (<2 km) accounted for about 95.5% of all clouds that CPR misses. As reported in a similar study, very low and thin clouds (<0.3 km) over sea ice that are detected by MODIS are sometimes not observed by CPR and misclassified by CALIOP. © 2013 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51940
Appears in Collections: 气候变化事实与影响
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作者单位: NASA Goddard Space Flight Center, Greenbelt, MD, United States; Center for Engineering and Sustainable Development Research, De La Salle University, Manila, Philippines
Recommended Citation:
Chan M.A.,Comiso J.C.. Arctic cloud characteristics as derived from MODIS, CALIPSO, and cloudsat[J]. Journal of Climate,2013-01-01,26(10)