DOI: 10.1002/2014JD021588
论文题名: Comparison of decadal global water vapor changes derived from independent satellite time series
作者: Mieruch S. ; Schröder M. ; Noël S. ; Schulz J.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 2169897X
出版年: 2014
卷: 119, 期: 22 起始页码: 12489
结束页码: 12499
语种: 英语
英文关键词: autocorrelation
; HOAPS
; satellites
; SCIAMACHY
; trends
; water vapor
Scopus关键词: autocorrelation
; climate modeling
; cloud cover
; comparative study
; correlation
; data set
; El Nino
; pixel
; satellite imagery
; solar radiation
; spatiotemporal analysis
; time series
; water vapor
英文摘要: We analyze trends in total column water vapor (TCWV) retrieved from independent satellite observations and retrieval schemes. GOME-SCIAMACHY (Global Ozone Monitoring Experiment-SCanning Imaging Absorption spectroMeter for Atmospheric CHartographY) measurements are carried out in the visible part of the solar spectrum and present a partly cloud-corrected climatology that is available over land and ocean. The HOAPS (Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data) product, provided by EUMETSAT's Satellite Application Facility on Climate Monitoring is based on passive microwave observations from the Special Sensor Microwave/Imager. It also includes the TCWV from cloudy pixels but is only available over oceans. The common observation time period is between 1996 and 2005. Due to the relatively short length of the period, the strong interannual variability with strong contributions from El Niño and La Niña events and the strong anomaly at the start of the common period, caused by the 1997/1998 El Niño, the observed trends should not be interpreted as long-term climate trends. After subtraction of average seasonality from monthly gridded data, a linear model and a level shift model have been fitted to the HOAPS and GOME-SCIAMACHY data, respectively. Autocorrelation and cross correlation of fit residuals are accounted for in assessing uncertainties in trends. The trends observed in both time series agree within uncertainty margins. This agreement holds true for spatial patterns, magnitudes, and global averages. The consistency increases confidence in the reliability of the trends because the methods, spectral range, and observation technique as well as the satellites and their orbits are completely independent of each other. The similarity of the trends in both data sets is an indication of sufficient stability in the observations for the time period of ≈ 10 years. ©2014. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63028
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Satellite Based Climate Monitoring, Deutscher Wetterdienst, Offenbach, Germany; Institute of Environmental Physics, University of Bremen, Bremen, Germany; Institute for Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany; European Organisation for the Exploitation of Meteorological Satellites, Darmstadt, Germany
Recommended Citation:
Mieruch S.,Schröder M.,Noël S.,et al. Comparison of decadal global water vapor changes derived from independent satellite time series[J]. Journal of Geophysical Research Atmospheres,2014-01-01,119(22)