Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD026493 |
Characterizing the information content of cloud thermodynamic phase retrievals from the notional PACE OCI shortwave reflectance measurements | |
Coddington, O. M.1; Vukicevic, T.2; Schmidt, K. S.1,3; Platnick, S.4 | |
2017-08-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:15 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | We rigorously quantify the probability of liquid or ice thermodynamic phase using only shortwave spectral channels specific to the National Aeronautics and Space Administration's Moderate Resolution Imaging Spectroradiometer, Visible Infrared Imaging Radiometer Suite, and the notional future Plankton, Aerosol, Cloud, ocean Ecosystem imager. The results show that two shortwave-infrared channels (2135 and 2250nm) provide more information on cloud thermodynamic phase than either channel alone; in one case, the probability of ice phase retrieval increases from 65 to 82% by combining 2135 and 2250nm channels. The analysis is performed with a nonlinear statistical estimation approach, the GEneralized Nonlinear Retrieval Analysis (GENRA). The GENRA technique has previously been used to quantify the retrieval of cloud optical properties from passive shortwave observations, for an assumed thermodynamic phase. Here we present the methodology needed to extend the utility of GENRA to a binary thermodynamic phase space (i.e., liquid or ice). We apply formal information content metrics to quantify our results; two of these (mutual and conditional information) have not previously been used in the field of cloud studies. |
英文关键词 | cloud thermodynamic phase shortwave radiation passive remote sensing |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000408349500024 |
WOS关键词 | OPTICAL-THICKNESS ; EFFECTIVE RADIUS ; ALGORITHM DESCRIPTION ; SPECTRAL METHOD ; MODIS ; PRODUCTS ; VIIRS ; TERRA ; EXAMPLES ; RADIANCE |
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/33792 |
专题 | 气候变化 |
作者单位 | 1.Univ Colorado Boulder, Lab Atmospher & Space Phys, Boulder, CO 80309 USA; 2.NOAA, ISED Off Water Predict NWS, Tuscaloosa, AL USA; 3.Univ Colorado Boulder, Dept Atmospher & Ocean Sci, Boulder, CO USA; 4.NASA, Goddard Space Flight Ctr, Earth Sci Div, Greenbelt, MD USA |
推荐引用方式 GB/T 7714 | Coddington, O. M.,Vukicevic, T.,Schmidt, K. S.,et al. Characterizing the information content of cloud thermodynamic phase retrievals from the notional PACE OCI shortwave reflectance measurements[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(15). |
APA | Coddington, O. M.,Vukicevic, T.,Schmidt, K. S.,&Platnick, S..(2017).Characterizing the information content of cloud thermodynamic phase retrievals from the notional PACE OCI shortwave reflectance measurements.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(15). |
MLA | Coddington, O. M.,et al."Characterizing the information content of cloud thermodynamic phase retrievals from the notional PACE OCI shortwave reflectance measurements".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.15(2017). |
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