Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD029949 |
Characterizing the Representativity Error of Cloud Profiling Observations for Data Assimilation | |
Fielding, M. D.1; Stiller, O.2 | |
2019-04-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:7页码:4086-4103 |
文章类型 | Article |
语种 | 英语 |
国家 | England; Germany |
英文摘要 | Active observations from profiling instruments such as cloud radar or lidar have proved invaluable in improving our understanding of clouds and their interaction with the atmosphere. However, while they undoubtedly contain a wealth of information about the atmospheric state, the assimilation of such observations into NWP models has so far had mixed success. One reason is the mismatch of scales between the relatively coarse model resolution and the narrow beam-width of the instruments. To obtain an optimal analysis, this representativity error due to this mismatch in scales must be included within the observation error covariance matrix. In this paper, we demonstrate how a relatively straightforward approach that uses the local variance of the measurement combined with a global estimate of correlation provides a useful estimate of the representativity error. We also show how the method can be used to estimate the correlation in representativity error between observations in both the horizontal and vertical, potentially removing the need to thin the observations, or inflate their observation error. The method is evaluated using 2-D and 3-D fields of simulated and observed radar reflectivity before an example application to profiling observations is shown using Cloudsat data. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000467147400027 |
WOS关键词 | CURRENT SOUNDER RADIANCES ; PART I ; UNCERTAINTY ; DESIGN ; IMPACT ; MODEL ; AIRS |
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/182427 |
专题 | 气候变化 |
作者单位 | 1.European Ctr Medium Range Weather Forecasts, Reading, Berks, England; 2.Deutsch Wetterdienst, Offenbach, Germany |
推荐引用方式 GB/T 7714 | Fielding, M. D.,Stiller, O.. Characterizing the Representativity Error of Cloud Profiling Observations for Data Assimilation[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(7):4086-4103. |
APA | Fielding, M. D.,&Stiller, O..(2019).Characterizing the Representativity Error of Cloud Profiling Observations for Data Assimilation.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(7),4086-4103. |
MLA | Fielding, M. D.,et al."Characterizing the Representativity Error of Cloud Profiling Observations for Data Assimilation".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.7(2019):4086-4103. |
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