Inter-Comparison and Evaluation of the Four Longest Satellite-Derived Cloud Climate Data Records: CLARA-A2, ESA Cloud CCI V3, ISCCP-HGM, and PATMOS-x

Inter-Comparison and Evaluation of the Four Longest Satellite-Derived Cloud Climate Data Records: CLARA-A2, ESA Cloud CCI V3, ISCCP-HGM, and PATMOS-x
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四个最长卫星云气候数据记录的相互比较和评估：CLARA-A2、ESA Cloud CCI V3、ISCCP-HGM 和 PATMOS-x

DOI：
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发表时间：
2018
期刊：
Remote Sensing
影响因子：
5
通讯作者：
A. Devasthale
A. Devasthale
中科院分区：
工程技术2区
文献类型：
--
作者：
K. Karlsson;A. Devasthale

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来自四个全球云气候数据记录（ISCCP-HGM，ESA Cloud CCI V3，ESA-A2和PATMOS-x）的结果在全球时间序列图，全球地图和带状区域图中进行了相互比较，涵盖了1984-2009年的共同时期。研究的云参数是总云量和云顶压力。CALIPSO-CALIOP传感器在2007-2015年期间观测到的云量平均季节周期也被用作研究全球云量的额外独立和高质量参考。所有的CDR都显示出全球云量（~65%）的良好一致性，并且在调查期间也显示出微弱的负趋势（每十年0.5-1.9%）。CDR之间的偏差尤其在南部中纬度地区和两极地区。与CALIPSO-CALIOP参考相比，PATMOS-x和欧空局云CCI V3显示出特别好的结果。云顶气压的结果显示ISCCP-HGM和其他CDR之间的全球平均值差异很大（约60 hPa）。两个CDR组在此期间的趋势也显示出相反的迹象。
Results from four global cloud climate data records (ISCCP-HGM, ESA Cloud CCI V3, CLARA-A2 and PATMOS-x) have been inter-compared in global time series plots, in global maps and in zonal region plots covering the period in common, 1984–2009. The investigated cloud parameters were total cloud fraction and cloud top pressure. Averaged seasonal cycles of cloud cover, as observed by the CALIPSO-CALIOP sensor over the 2007–2015 period, were also used as an additional independent and high-quality reference for the study of global cloud cover. All CDRs show good agreement on global cloud amounts (~65%) and also a weak negative trend (0.5–1.9% per decade) over the period of investigation. Deviations between the CDRs are seen especially over the southern mid-latitude region and over the poles. Particularly good results are shown by PATMOS-x and by ESA Cloud CCI V3 when compared to the CALIPSO-CALIOP reference. Results for cloud top pressure show large differences (~60 hPa) between ISCCP-HGM and the other CDRs for the global mean. The two CDR groups show also opposite signs in the trend over the period.
Cloud property datasets retrieved from AVHRR, MODIS, AATSR and MERIS in the framework of the Cloud_cci project
DOI： 10.5194/essd-9-881-2017
发表时间： 2017-11
期刊： Earth System Science Data
影响因子： 11.4
作者：
M. Stengel;Stefan Stapelberg;O. Sus;C. Schlundt;C. Poulsen;G. Thomas;M. Christensen;C. C. Henken-C.;R. Preusker;J. Fischer;A. Devasthale;U. Willén;K. Karlsson;G. Mcgarragh;S. Proud;A. Povey;R. Grainger;J. F. Meirink;A. Feofilov;R. Bennartz;J. Bojanowski;R. Hollmann
通讯作者： M. Stengel;Stefan Stapelberg;O. Sus;C. Schlundt;C. Poulsen;G. Thomas;M. Christensen;C. C. Henken-C.;R. Preusker;J. Fischer;A. Devasthale;U. Willén;K. Karlsson;G. Mcgarragh;S. Proud;A. Povey;R. Grainger;J. F. Meirink;A. Feofilov;R. Bennartz;J. Bojanowski;R. Hollmann