globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-13-00736.1
Scopus记录号: 2-s2.0-84916231126
论文题名:
Time-to-detect trends in precipitable water vapor with varying measurement error
作者: Roman J.; Knuteson R.; Ackerman S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期:21
起始页码: 8259
结束页码: 8275
语种: 英语
Scopus关键词: Climate change ; Measurement errors ; Population statistics ; Water vapor ; Case study analysis ; Detection time ; Global climate model ; High population density ; Precipitable water vapor ; Satellite observations ; Spatial scale ; Trend analysis ; Climate models ; climate change ; climate modeling ; error analysis ; global climate ; satellite data ; trend analysis ; water vapor ; zonal flow ; China ; Europe ; India ; United States
英文摘要: This study determined the theoretical time-to-detect (TTD) global climate model (GCM) precipitable water vapor (PWV) 100-yr trends when realisticmeasurement errors are considered.Global trends ranged from 0.055 to 0.072mmyr-1 and varied minimally from season to season. Global TTDs with a 0% measurement error ranged from3.0 to 4.8 yr,while a 5%measurement error increased the TTDby almost 6 times, ranging from17.6 to 22.0 yr. Zonal trends were highest near the equator however, zonal TTDs were nearly independent of latitude when 5% measurement error was included. Zonal TTDs are significantly reduced when the trends are analyzed by season.Regional trends (15° × 30°) show TTDs close to those in the 158 latitude zones (15° × 360°). Detailed case study analysis of four selected regions with high population density-eastern United States, Europe, China, and India-indicated that trend analysis on regional spatial scales may provide the most timely information regarding highly populated regions when comparing detection time scales to global and zonal analyses. © 2014 American Meteorological Society.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51195
Appears in Collections:气候变化事实与影响

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作者单位: Department of Atmospheric and Oceanic Sciences, University of Wisconsin-Madison, Madison, WI, United States; Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States; Cooperative Institute for Meteorological Satellite Studies, Madison, WI, United States

Recommended Citation:
Roman J.,Knuteson R.,Ackerman S.. Time-to-detect trends in precipitable water vapor with varying measurement error[J]. Journal of Climate,2014-01-01,27(21)
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