Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2019JD031063 |
Regional Biases in MODIS Marine Liquid Water Cloud Drop Effective Radius Deduced Through Fusion With MISR | |
Fu, Dongwei1; Di Girolamo, Larry1; Liang, Lusheng2; Zhao, Guangyu1 | |
2019-12-08 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
文章类型 | Article;Early Access |
语种 | 英语 |
国家 | USA |
英文摘要 | Satellite measurements from Terra's Moderate Resolution Imaging Spectroradiometer (MODIS) represent our longest, single-platform, global record of the effective radius (Re) of the cloud drop size distribution. Quantifying its error characteristics has been challenging because systematic errors in retrieved Re covary with the structural characteristics of the cloud and the Sun-view geometry. Recently, it has been shown that the bias in MODIS Re can be estimated by fusing MODIS data with data from Terra's Multi-angle Imaging SpectroRadiometer (MISR). Here, we relate the bias to the observed underlying conditions to derive regional-scale, bias-corrected, monthly-mean Re-1.6, Re-2.1, and Re-3.7 values retrieved from the 1.6, 2.1, and 3.7 mu m MODIS spectral channels. Our results reveal that monthly-mean bias in Re-2.1 exhibits large regional dependency, ranging from at least 1 to 10 mu m (15 to 60%) varying with scene heterogeneity, optical depth, and solar zenith angle. Regional bias-corrected monthly-mean Re-2.1 ranges from 4 to 17 mu m, compared to 10 to 25 mu m for uncorrected Re-2.1, with estimated uncertainties of 0.1 to 1.8 mu m. The bias-corrected monthly-mean Re-3.7 and Re-2.1 show difference of approximately +0.6 mu m in the coastal marine stratocumulus regions and down to approximately -2 mu m in the cumuliform cloud regions, compared to uncorrected values of about -1 to -6 mu m, respectively. Bias-corrected Re values compare favorably to other independent data sources, including field observations, global model simulations, and satellite retrievals that do not use retrieval techniques similar to MODIS. This work changes the interpretation of global Re distributions from MODIS Re products and may further impact studies, which use the original MODIS Re products to study, for example, aerosol-cloud interactions and cloud microphysical parameterization. |
英文关键词 | MISR MODIS effective radius liquid clouds bias-correction data fusion |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000501205000001 |
WOS关键词 | SOLAR ZENITH ANGLE ; OPTICAL-THICKNESS ; PROPERTY RETRIEVALS ; DEPENDENCE ; VARIABILITY ; 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/225859 |
专题 | 环境与发展全球科技态势 |
作者单位 | 1.Univ Illinois, Dept Atmospher Sci, Urbana, IL 61801 USA; 2.Sci Syst & Applicat Inc, Hampton, VA USA |
推荐引用方式 GB/T 7714 | Fu, Dongwei,Di Girolamo, Larry,Liang, Lusheng,et al. Regional Biases in MODIS Marine Liquid Water Cloud Drop Effective Radius Deduced Through Fusion With MISR[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019. |
APA | Fu, Dongwei,Di Girolamo, Larry,Liang, Lusheng,&Zhao, Guangyu.(2019).Regional Biases in MODIS Marine Liquid Water Cloud Drop Effective Radius Deduced Through Fusion With MISR.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES. |
MLA | Fu, Dongwei,et al."Regional Biases in MODIS Marine Liquid Water Cloud Drop Effective Radius Deduced Through Fusion With MISR".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES (2019). |
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