Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD025183 |
Quantifying uncertainties in radar forward models through a comparison between CloudSat and SPartICus reflectivity factors | |
Mascio, Jeana; Mace, Gerald G. | |
2017-02-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:3 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Interpretations of remote sensing measurements collected in sample volumes containing ice-phase hydrometeors are very sensitive to assumptions regarding the distributions of mass with ice crystal dimension, otherwise known as mass-dimensional or m-D relationships. How these microphysical characteristics vary in nature is highly uncertain, resulting in significant uncertainty in algorithms that attempt to derive bulk microphysical properties from remote sensing measurements. This uncertainty extends to radar reflectivity factors forward calculated from model output because the statistics of the actual m-D in nature is not known. To investigate the variability in m-D relationships in cirrus clouds, reflectivity factors measured by CloudSat are combined with particle size distributions (PSDs) collected by coincident in situ aircraft by using an optimal estimation-based (OE) retrieval of the m-D power law. The PSDs were collected by 12 flights of the Stratton Park Engineering Company Learjet during the Small Particles in Cirrus campaign. We find that no specific habit emerges as preferred, and instead, we find that the microphysical characteristics of ice crystal populations tend to be distributed over a continuum-defying simple categorization. With the uncertainties derived from the OE algorithm, the uncertainties in forward-modeled backscatter cross section and, in turn, radar reflectivity is calculated by using a bootstrapping technique, allowing us to infer the uncertainties in forward-modeled radar reflectivity that would be appropriately applied to remote sensing simulator algorithms. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000396119200016 |
WOS关键词 | A-TRAIN ; RETRIEVAL ; SCATTERING ; PARTICLES ; FORMULATION ; AIRBORNE ; PROBE |
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/34135 |
专题 | 气候变化 |
作者单位 | Univ Utah, Dept Atmospher Sci, Salt Lake City, UT 84112 USA |
推荐引用方式 GB/T 7714 | Mascio, Jeana,Mace, Gerald G.. Quantifying uncertainties in radar forward models through a comparison between CloudSat and SPartICus reflectivity factors[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(3). |
APA | Mascio, Jeana,&Mace, Gerald G..(2017).Quantifying uncertainties in radar forward models through a comparison between CloudSat and SPartICus reflectivity factors.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(3). |
MLA | Mascio, Jeana,et al."Quantifying uncertainties in radar forward models through a comparison between CloudSat and SPartICus reflectivity factors".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.3(2017). |
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