DOI: 10.1002/2017JD027638
Scopus记录号: 2-s2.0-85045212220
论文题名: An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path
作者: Greenwald T.J. ; Bennartz R. ; Lebsock M. ; Teixeira J.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2018
卷: 123, 期: 7 起始页码: 3668
结束页码: 3687
语种: 英语
英文关键词: clouds
; liquid water
; microwave
; precipitation
; remote sensing
Scopus关键词: AMSR-E
; CALIOP
; CloudSat
; data set
; MODIS
; precipitation (climatology)
; remote sensing
; seasonal variation
; temperature effect
; Pacific Ocean
; Pacific Ocean (Northeast)
英文摘要: The first extended comprehensive data set of the retrieval uncertainties in passive microwave observations of cloud liquid water path (CLWP) for warm oceanic clouds has been created for practical use in climate applications. Four major sources of systematic errors were considered over the 9-year record of the Advanced Microwave Scanning Radiometer-EOS (AMSR-E): clear-sky bias, cloud-rain partition (CRP) bias, cloud-fraction-dependent bias, and cloud temperature bias. Errors were estimated using a unique merged AMSR-E/Moderate resolution Imaging Spectroradiometer Level 2 data set as well as observations from the Cloud-Aerosol Lidar with Orthogonal Polarization and the CloudSat Cloud Profiling Radar. To quantify the CRP bias more accurately, a new parameterization was developed to improve the inference of CLWP in warm rain. The cloud-fraction-dependent bias was found to be a combination of the CRP bias, an in-cloud bias, and an adjacent precipitation bias. Globally, the mean net bias was 0.012 kg/m2, dominated by the CRP and in-cloud biases, but with considerable regional and seasonal variation. Good qualitative agreement between a bias-corrected AMSR-E CLWP climatology and ship observations in the Northeast Pacific suggests that the bias estimates are reasonable. However, a possible underestimation of the net bias in certain conditions may be due in part to the crude method used in classifying precipitation, underscoring the need for an independent method of detecting rain in warm clouds. This study demonstrates the importance of combining visible-infrared imager data and passive microwave CLWP observations for estimating uncertainties and improving the accuracy of these observations. ©2018. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/114102
Appears in Collections: 气候减缓与适应
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作者单位: Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, Madison, WI, United States; Earth and Environmental Sciences Department, Vanderbilt University, Nashville, TN, United States; Space Science and Engineering Center, University of Wisconsin-Madison, Madison, WI, United States; Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States
Recommended Citation:
Greenwald T.J.,Bennartz R.,Lebsock M.,et al. An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(7)