DOI: 10.1175/JCLI-D-11-00668.1
Scopus记录号: 2-s2.0-84865748531
论文题名: Homogenization of the global radiosonde temperature dataset through combined comparison with reanalysis background series and neighboring stations
作者: Haimberger L. ; Tavolato C. ; Sperka S.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2012
卷: 25, 期: 23 起始页码: 8108
结束页码: 8131
语种: 英语
Scopus关键词: Automated methods
; Break dates
; Climate data
; Data sets
; Ecmwf re-analysis
; Inhomogeneities
; Interpolation error
; Microwave sounding unit
; Radiosonde temperature
; Reanalysis
; Remote stations
; Satellite data
; Size estimation
; Temperature trends
; Varying parameters
; Vertical profile
; Climate change
; Climatology
; Errors
; Interpolation
; Time series
; Uncertainty analysis
; Upper atmosphere
; Radiosondes
; climate change
; climatology
; data assimilation
; data set
; interpolation
; radiosonde
; satellite data
; spatial resolution
; temperature
; time series analysis
英文摘要: This article describes progress in the homogenization of global radiosonde temperatures with updated versions of the Radiosonde Observation Correction Using Reanalyses (RAOBCORE) and Radiosonde Innovation Composite Homogenization (RICH) software packages. These are automated methods to homogenize the global radiosonde temperature dataset back to 1958. The break dates are determined from analysis of time series of differences between radiosonde temperatures (obs) and background forecasts (bg) of climate data assimilation systems used for the 40-yr European Centre for Medium-RangeWeather Forecasts (ECMWF) Re-Analysis (ERA-40) and the ongoing interim ECMWF Re-Analysis (ERA-Interim). RAOBCORE uses the obs2bg time series also for estimating the break sizes. RICH determines the break sizes either by comparing the observations of a tested time series with observations of neighboring radiosonde time series (RICH-obs) or by comparing their background departures (RICH-τ). Consequently RAOBCORE results may be influenced by inhomogeneities in the bg, whereas break size estimation with RICH-obs is independent of the bg. The adjustment quality of RICH-obs, on the other hand, may suffer from large interpolation errors at remote stations. RICH-τ is a compromise that substantially reduces interpolation errors at the cost of slight dependence on the bg. Adjustment uncertainty is estimated by comparing the three methods and also by varying parameters in RICH. The adjusted radiosonde time series are compared with recent temperature datasets based on (Advanced) Microwave Sounding Unit [(A)MSU] radiances. The overall spatiotemporal consistency of the homogenized dataset has improved compared to earlier versions, particularly in the presatellite era. Vertical profiles of temperature trends are more consistent with satellite data as well. © 2012 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/52119
Appears in Collections: 气候变化事实与影响
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作者单位: Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria; Department of Meteorology and Geophysics, University of Vienna, Althanstrasse 14, A-1090 Vienna, Austria
Recommended Citation:
Haimberger L.,Tavolato C.,Sperka S.. Homogenization of the global radiosonde temperature dataset through combined comparison with reanalysis background series and neighboring stations[J]. Journal of Climate,2012-01-01,25(23)