A comparison of multiscale variations of decade-long cloud fractions from six different platforms over the Southern Great Plains in the United States

被引:40
|
作者
Wu, Wei [1 ]
Liu, Yangang [1 ]
Jensen, Michael P. [1 ]
Toto, Tami [1 ]
Foster, Michael J. [2 ]
Long, Charles N. [3 ]
机构
[1] Brookhaven Natl Lab, Div Atmospher Sci, Upton, NY 11973 USA
[2] Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI USA
[3] Pacific NW Natl Lab, Richland, WA 99352 USA
关键词
RADIATION MEASUREMENT PROGRAM; GENERAL-CIRCULATION MODEL; PATMOS CLIMATE DATASET; ATMOSPHERIC RADIATION; SURFACE OBSERVATIONS; SAMPLING STRATEGIES; PROFILING RADARS; ECMWF MODEL; SKY COVER; ISCCP;
D O I
10.1002/2013JD019813
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study compares 1997-2011 observationally based cloud fraction estimates from six different platforms (three ground-based estimates and three satellite-based estimates) over the Southern Great Plains, United States. The comparisons are performed at multiple temporal and spatial scales. The results show that 1997-2011 mean cloud fractions from the Active Remote Sensing of CLouds (ARSCL) and from the International Satellite Cloud Climatology Project (ISCCP) are significantly (at a 2% significance level, two-sided t test) larger than the others, having 0.08 and 0.15 larger mean diurnal variations, 0.08 and 0.13 larger mean annual variations, and 0.08 and 0.14 larger interannual variations, respectively. Although more high (low) clouds are likely a reason for larger ARSCL (ISCCP) cloud fractions, other mechanisms cannot be ruled out and require further investigations. Furthermore, half of the estimates exhibit a significant (at a 1% significance level, one-sided t test) overall increase of 0.08-0.10 in the annually averaged cloud fractions from 1998 to 2009; another half of the estimates exhibit little tendency of increase in this decade. Monthly cloud fractions from all the estimates exhibit quasi-Gaussian frequency distributions while the distributions of daily cloud fractions are found dependent on spatial scales. Cloud fractions from all the estimates show much larger seasonal variations than diurnal variations. Findings from this study suggest caution when using observationally based cloud fraction estimates for climate studies such as evaluating model performance and reinforce the need of consistency in defining and retrieving cloud fractions.
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页码:3438 / 3459
页数:22
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