DOI: 10.1175/JCLI-D-14-00805.1
Scopus记录号: 2-s2.0-84962210258
论文题名: Variability and trends in U.S. cloud cover: ISCCP, PATMOS-x, and CLARA-A1 compared to homogeneity-adjusted weather observations
作者: Sun B. ; Free M. ; Yoo H.L. ; Foster M.J. ; Heidinger A. ; Karlsson K.-G.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2015
卷: 28, 期: 11 起始页码: 4373
结束页码: 4389
语种: 英语
Scopus关键词: Climate change
; Climatology
; Satellites
; Solar radiation
; Weather information services
; Climate record
; Cloud cover
; Cloud retrieval
; Satellite observations
; Surface observation
; Tracking (position)
; annual variation
; climate change
; climate variation
; cloud cover
; satellite data
; trend analysis
; weather forecasting
; weather station
; United States
英文摘要: Variability and trends in total cloud cover for 1982-2009 across the contiguous United States from the International Satellite Cloud Climatology Project (ISCCP), AVHRR Pathfinder Atmospheres-Extended (PATMOS-x), and EUMETSAT Satellite Application Facility on Climate Monitoring Clouds, Albedo and Radiation from AVHRR Data Edition 1 (CLARA-A1) satellite datasets are assessed using homogeneity-adjusted weather station data. The station data, considered as "ground truth" in the evaluation, are generally well correlated with the ISCCP and PATMOS-x data and with the physically related variables diurnal temperature range, precipitation, and surface solar radiation. Among the satellite products, overall, the PATMOS-x data have the highest interannual correlations with the weather station cloud data and those other physically related variables. The CLARA-A1 daytime dataset generally shows the lowest correlations, even after trends are removed. For the U.S. mean, the station dataset shows a negative but not statistically significant trend of -0.40% decade-1, and satellite products show larger downward trends ranging from -0.55% to -5.00% decade-1 for 1984-2007. PATMOS-x 1330 local time trends for U.S. mean cloud cover are closest to those in the station data, followed by the PATMOS-x diurnally corrected dataset and ISCCP, with CLARA-A1 having a large negative trend contrasting strongly with the station data. These results tend to validate the usefulness of weather station cloud data for monitoring changes in cloud cover, and they show that the long-term stability of satellite cloud datasets can be assessed by comparison to homogeneity-adjusted station data and other physically related variables. © 2015 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/50396
Appears in Collections: 气候变化事实与影响
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作者单位: I. M. Systems Group Inc., Rockville, MD, United States; NOAA/Air Resources Laboratory, College Park, MD, United States; Cooperative Institute for Climate and Satellites, University of Maryland, College Park, College Park, MD, United States; Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, United States; NOAA/NESDIS/Center for Satellite Applications and Research, Madison, WI, United States; Swedish Meteorological and Hydrological Institute, Norrköping, Sweden
Recommended Citation:
Sun B.,Free M.,Yoo H.L.,et al. Variability and trends in U.S. cloud cover: ISCCP, PATMOS-x, and CLARA-A1 compared to homogeneity-adjusted weather observations[J]. Journal of Climate,2015-01-01,28(11)