DOI: 10.1002/jgrd.50369
论文题名: Toward improved corrections for radiation-induced biases in radiosonde temperature observations
作者: Sun B. ; Reale A. ; Schroeder S. ; Seidel D.J. ; Ballish B.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 10 起始页码: 4231
结束页码: 4243
语种: 英语
英文关键词: biases
; corrections
; COSMIC
; radiosonde
; temperature
Scopus关键词: Cosmology
; Ionosphere
; Statistics
; Temperature
; biases
; Constellation observing system for meteorology , ionosphere , and climates
; corrections
; COSMIC
; Numerical weather prediction
; Radiosonde temperature
; Satellite retrieval
; Standard deviation
; Radiosondes
; altitude
; climate
; COSMIC
; data set
; ionosphere
; radiosonde
; satellite data
; temperature profile
英文摘要: Radiation-induced biases in global operational radiosonde temperature data from May 2008 to August 2011 are examined by using spatially and temporally collocated Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) data as estimates of the truth. The data on average from most radiosonde types show a nighttime cold bias and a daytime warm bias relative to COSMIC. Most daytime biases increase with altitude and solar elevation angle (SEA). The global average biases in the 15-70 hPa layer are -0.05 ± 1.89 K standard deviation (~52,000 profiles) at night and 0.39 ± 1.80 K standard deviation (~64,500 profiles) in daytime (SEA > 7.5°). Daytime warm biases associated with clouds are smaller than those under clear conditions. Newer sondes (post-2000) have smaller biases and appear to be less sensitive to effects of clouds. Biases at night show greater seasonal and zonal variations than those for daytime. In general, warm night biases are associated with warm climate regimes and less warm or cold night biases with cold climate regimes. Bias characteristics for 13 major radiosonde types are provided, as a basis for updating radiosonde corrections used in numerical weather predictions, for validating satellite retrievals, and for adjusting archived radiosonde data to create consistent climate records. Key Points The analysis aims to facilitate improvements in radiosonde bias corrections ©2013. 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/63776
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: I. M. Systems Group, Inc., NOAA Center for Satellite Applications and Research, NCWCP, 5830 University Research Court, College Park, MD 20740, United States; NOAA Center for Satellite Applications and Research, College Park MD, United States; Department of Atmospheric Sciences, Texas AandM University, College Station TX, United States; NOAA Air Resources Laboratory, College Park MD, United States; NOAA NCEP Environmental Modeling Center, College Park MD, United States
Recommended Citation:
Sun B.,Reale A.,Schroeder S.,et al. Toward improved corrections for radiation-induced biases in radiosonde temperature observations[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(10)