Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.5194/acp-17-1187-2017 |
Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajokull volcanic eruption | |
Fu, Guangliang1; Prata, Fred2; Lin, Hai Xiang1; Heemink, Arnold1; Segers, Arjo3; Lu, Sha1 | |
2017-01-25 | |
发表期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
出版年 | 2017 |
卷号 | 17期号:2 |
文章类型 | Article |
语种 | 英语 |
国家 | Netherlands; Norway |
英文摘要 | Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations. In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space. Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajokull volcano is about 6 h. |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000394599300003 |
WOS关键词 | SQUARE-ROOT FILTERS ; ENSEMBLE KALMAN FILTER ; NORTHERN ALPINE REGION ; IN-SITU MEASUREMENTS ; RAMAN LIDAR ; MODEL ; DISPERSION ; CLOUDS ; AIRCRAFT ; SIMULATION |
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/30445 |
专题 | 地球科学 |
作者单位 | 1.Delft Univ Technol, Delft Inst Appl Math, Mekelweg 4, NL-2628 CD Delft, Netherlands; 2.Nicarn Aviat AS, Gunnar Randers Vei 24, N-2007 Kjeller, Norway; 3.TNO, Dept Climate Air & Sustainabil, POB 80015, NL-3508 TA Utrecht, Netherlands |
推荐引用方式 GB/T 7714 | Fu, Guangliang,Prata, Fred,Lin, Hai Xiang,et al. Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajokull volcanic eruption[J]. ATMOSPHERIC CHEMISTRY AND PHYSICS,2017,17(2). |
APA | Fu, Guangliang,Prata, Fred,Lin, Hai Xiang,Heemink, Arnold,Segers, Arjo,&Lu, Sha.(2017).Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajokull volcanic eruption.ATMOSPHERIC CHEMISTRY AND PHYSICS,17(2). |
MLA | Fu, Guangliang,et al."Data assimilation for volcanic ash plumes using a satellite observational operator: a case study on the 2010 Eyjafjallajokull volcanic eruption".ATMOSPHERIC CHEMISTRY AND PHYSICS 17.2(2017). |
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