Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-18-11205-2018 |
An update on global atmospheric ice estimates from satellite observations and reanalyses | |
Duncan, David Ian; Eriksson, Patrick | |
2018-08-13 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2018 |
卷号 | 18期号:15页码:11205-11219 |
文章类型 | Article |
语种 | 英语 |
国家 | Sweden |
英文摘要 | This study assesses the global distribution of mean atmospheric ice mass from current state-of-the-art estimates and its variability on daily and seasonal timescales. Ice water path (IWP) retrievals from active and passive satellite platforms are analysed and compared with estimates from two reanalysis data sets, ERA5 (European Centre for Medium-range Weather Forecasts Reanalysis 5, ECMWF) and MERRA-2 (Modern-Era Retrospective Analysis for Research and Applications 2). Large discrepancies in IWP exist between the satellite data sets themselves, making validation of the model results problematic and indicating that progress towards a consensus on the distribution of atmospheric ice has been limited. Comparing the data sets, zonal means of IWP exhibit similar shapes but differing magnitudes, with large IWP values causing much of the difference in means. Diurnal analysis centred on A-Train overpasses shows similar structures in some regions, but the degree and sign of the variability varies widely; the reanalyses exhibit noisier and higher-amplitude diurnal variability than borne out by the satellite estimates. Spatial structures governed by the atmospheric general circulation are fairly consistent across the data sets, as principal component analysis shows that the patterns of seasonal variability line up well between the data sets but disagree in severity. These results underscore the limitations of the current Earth observing system with respect to atmospheric ice, as the level of consensus between observations is mixed. The large-scale variability of IWP is relatively consistent, whereas disagreements on diurnal variability and global means point to varying microphysical assumptions in retrievals and models alike that seem to underlie the biggest differences. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000441403800001 |
WOS关键词 | WATER PATH ; A-TRAIN ; CLOUD RETRIEVAL ; CIRRUS CLOUD ; ODIN-SMR ; PRODUCTS ; CLIMATE ; MISSION ; PRECIPITATION ; SIMULATIONS |
WOS类目 | Environmental Sciences ; Meteorology & Atmospheric Sciences |
WOS研究方向 | Environmental Sciences & Ecology ; 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/19434 |
专题 | 地球科学 |
作者单位 | Chalmers Univ Technol, Dept Earth Space & Environm, S-41296 Gothenburg, Sweden |
推荐引用方式 GB/T 7714 | Duncan, David Ian,Eriksson, Patrick. An update on global atmospheric ice estimates from satellite observations and reanalyses[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2018,18(15):11205-11219. |
APA | Duncan, David Ian,&Eriksson, Patrick.(2018).An update on global atmospheric ice estimates from satellite observations and reanalyses.ATMOSPHERIC CHEMISTRY AND PHYSICS,18(15),11205-11219. |
MLA | Duncan, David Ian,et al."An update on global atmospheric ice estimates from satellite observations and reanalyses".ATMOSPHERIC CHEMISTRY AND PHYSICS 18.15(2018):11205-11219. |
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