Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2016JD026067 |
Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill | |
Rubin, Juli I.1,2,3; Reid, Jeffrey S.4; Hansen, James A.4; Anderson, Jeffrey L.5; Holben, Brent N.6; Xian, Peng4; Westphal, Douglas L.4; Zhang, Jianglong7 | |
2017-05-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:9 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Data assimilation of Aerosol Robotic Network (AERONET) and Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical thickness (AOT) for aerosol forecasting was tested within the Navy Aerosol Analysis Prediction System (NAAPS) framework, using variational and ensemble data assimilation methods. Navy aerosol forecasting currently makes use of a deterministic NAAPS simulation coupled to Navy Variational Data Assimilation System for aerosol optical depth, a two-dimensional variational data assimilation system, for MODIS AOT assimilation. An ensemble version of NAAPS (ENAAPS) coupled to an ensemble adjustment Kalman filter (EAKF) from the Data Assimilation Research Testbed was recently developed, allowing for a range of data assimilation and forecasting experiments to be run with deterministic NAAPS and ENAAPS. The main findings are that the EAKF, with its flow-dependent error covariances, makes better use of sparse observations such as AERONET AOT. Assimilating individual AERONET observations in the two-dimensional variational system can increase the analysis errors when observations are located in high AOT gradient regions. By including AERONET with MODIS AOT assimilation, the magnitudes of peak aerosol events (AOT>1) were better captured with improved temporal variability, especially in India and Asia where aerosol prediction is a challenge. Assimilating AERONET AOT with MODIS had little impact on the 24h forecast skill compared to MODIS assimilation only, but differences were found downwind of AERONET sites. The 24h forecast skill was approximately the same for forecasts initialized with analyses from AERONET AOT assimilation alone compared to MODIS assimilation, particularly in regions where the AERONET network is dense; including the United States and Europe, indicating that AERONET could serve as a backup observation network for over-land synoptic-scale aerosol events. |
英文关键词 | aerosol data assimilation forecasting ensemble variational |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000402039000012 |
WOS关键词 | ADAPTIVE COVARIANCE INFLATION ; OPTIMAL INTERPOLATION METHOD ; PM10 DATA ASSIMILATION ; KALMAN FILTER ; TRANSPORT MODEL ; OPTICAL DEPTH ; DUST AEROSOLS ; PREDICTION ; SYSTEM ; REANALYSIS |
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/32359 |
专题 | 气候变化 |
作者单位 | 1.CNR, Washington, DC 20418 USA; 2.Naval Res Lab, Monterey, CA 93943 USA; 3.Naval Res Lab, Remote Sensing Div, Washington, DC 20375 USA; 4.Naval Res Lab, Marine Meteorol Div, Monterey, CA USA; 5.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 6.NASA, Goddard Space Flight Ctr, Greenbelt, MD USA; 7.Univ North Dakota, Dept Atmospher Sci, Grand Forks, ND USA |
推荐引用方式 GB/T 7714 | Rubin, Juli I.,Reid, Jeffrey S.,Hansen, James A.,et al. Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(9). |
APA | Rubin, Juli I..,Reid, Jeffrey S..,Hansen, James A..,Anderson, Jeffrey L..,Holben, Brent N..,...&Zhang, Jianglong.(2017).Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(9). |
MLA | Rubin, Juli I.,et al."Assimilation of AERONET and MODIS AOT observations using variational and ensemble data assimilation methods and its impact on aerosol forecasting skill".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.9(2017). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论