DOI: 10.1175/JCLI-D-13-00065.1
Scopus记录号: 2-s2.0-84886239379
论文题名: Cloud-state-dependent sampling in airs observations based on cloudsat cloud classification
作者: Yue Q. ; Fetzer E.J. ; Kahn B.H. ; Wong S. ; Manipon G. ; Guillaume A. ; Wilson B.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2013
卷: 26, 期: 21 起始页码: 8357
结束页码: 8377
语种: 英语
Scopus关键词: Atmospheric infrared sounders
; Boundary layer clouds
; Climate record
; Cloud classification
; Infrared sounding
; Root mean squares
; Satellite observations
; Vertical profile
; Clouds
; Infrared devices
; Sounding apparatus
; Temperature
; Water vapor
; Infrared instruments
; AIRS
; cloud classification
; CloudSat
; sampling bias
; satellite data
; temperature
; water vapor
英文摘要: The precision, accuracy, and potential sampling biases of temperature T and water vapor q vertical profiles obtained by satellite infrared sounding instruments are highly cloud-state dependent and poorly quantified. The authors describe progress toward a comprehensive T and q climatology derived from the Atmospheric Infrared Sounder (AIRS) suite that is a function of cloud state based on collocated CloudSat observations. The AIRS sampling rates, biases, and center root-mean-square differences (CRMSD) are determined through comparisons of pixel-scale collocated ECMWF model analysis data. The results show that AIRS provides a realistic representation of most meteorological regimes in most geographical regions, including those dominated by high thin cirrus and shallow boundary layer clouds. The mean AIRS observational biases relative to the ECMWF analysis between the surface and 200 hPa are within±1K in T and from -1 to +0.5 g kg-1 in q. Biases because of cloud-state-dependent sampling dominate the total biases in the AIRS data and are largest in the presence of deep convective (DC) and nimbostratus (Ns) clouds. Systematic cold and dry biases are found throughout the free troposphere for DC and Ns. Somewhat larger biases are found over land and in the midlatitudes than over the oceans and in the tropics, respectively. Tropical and oceanic regions generally have a smaller CRMSD than the midlatitudes and over land, suggesting agreement of T and q variability between AIRS andECMWFin these regions. The magnitude ofCRMSDis also strongly dependent on cloud type. © 2013 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51539
Appears in Collections: 气候变化事实与影响
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作者单位: Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States; Joint Institute for Regional Earth System Science and Engineering, University of California, Los Angeles, Los Angeles, CA, United States
Recommended Citation:
Yue Q.,Fetzer E.J.,Kahn B.H.,et al. Cloud-state-dependent sampling in airs observations based on cloudsat cloud classification[J]. Journal of Climate,2013-01-01,26(21)