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DOI | 10.1002/2017JD027638 |
An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path | |
Greenwald, Thomas J.1; Bennartz, Ralf2,3; Lebsock, Matthew4; Teixeira, Joao4 | |
2018-04-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2018 |
卷号 | 123期号:7页码:3668-3687 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
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 0.012kg/m(2), 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. |
英文关键词 | clouds microwave precipitation remote sensing liquid water |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000430786500018 |
WOS关键词 | MARINE BOUNDARY-LAYER ; GLOBAL OCEANS ; RETRIEVAL ALGORITHM ; MODIS ; STRATOCUMULUS ; CLIMATOLOGY ; PRODUCTS ; RECORD ; RADIUS ; MODEL |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/33542 |
专题 | 气候变化 |
作者单位 | 1.Univ Wisconsin, Cooperat Inst Meteorol Satellite Studies, Madison, WI 53706 USA; 2.Vanderbilt Univ, Earth & Environm Sci Dept, 221 Kirkland Hall, Nashville, TN 37235 USA; 3.Univ Wisconsin, Space Sci & Engn Ctr, Madison, WI USA; 4.CALTECH, Jet Prop Lab, Pasadena, CA USA |
推荐引用方式 GB/T 7714 | Greenwald, Thomas J.,Bennartz, Ralf,Lebsock, Matthew,et al. An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2018,123(7):3668-3687. |
APA | Greenwald, Thomas J.,Bennartz, Ralf,Lebsock, Matthew,&Teixeira, Joao.(2018).An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,123(7),3668-3687. |
MLA | Greenwald, Thomas J.,et al."An Uncertainty Data Set for Passive Microwave Satellite Observations of Warm Cloud Liquid Water Path".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 123.7(2018):3668-3687. |
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