DOI: 10.1002/2014JD021627
论文题名: Global simulations of aerosol amount and size using MODIS observations assimilated with an Ensemble Kalman Filter
作者: Rubin J.I. ; Collins W.D.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 2169897X
出版年: 2014
卷: 119, 期: 22 起始页码: 12780
结束页码: 12806
语种: 英语
英文关键词: aerosol
; data assimilation
Scopus关键词: aerosol
; data assimilation
; global climate
; Kalman filter
; marine ecosystem
; MODIS
; particle size
; simulation
; spatiotemporal analysis
; Southern Ocean
英文摘要: A global assimilation that uses an Ensemble Kalman Filter and a set of derived scaling equations is presented for jointly adjusting the amount of atmospheric aerosol and the relative contribution of fine and coarse aerosols. The assimilation uses Department of Energy and National Science Foundation's Community Atmosphere Model (CAM) model and aerosol optical depth (AOD) and Angstrom exponent (AE) retrievals from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) instrument. Aerosol Robotic Network (AERONET) AE retrievals are used to constrain size over land. The presented system includes 60 ensemble members with a daily analysis, incorporating daily-averaged retrievals. A CAM control simulation and a CAM experiment with data assimilation (CAM-DA) are run for the year 2007. Control run comparisons to MODIS observations reveal a persistent negative bias in AOD, indicating an underprediction of the amount of atmospheric aerosol (CAM: 0.09 (±0.06), MODIS:0.16 (±0.09)). The negative bias decreased in the assimilation run with a globally averaged AOD of 0.12 (±0.05). CAM-DA is able to better capture spatial and temporal variations. A comparison of regional time series reveals the greatest reduction in model bias with respect to both aerosol amount and size over the oceans, especially the Southern Ocean. With respect to land regions, good agreement with AERONET AOD is found over the United States, Europe, and East Asia. Additionally, CAM-DA has clear spatial differences from the control with more aerosol and a larger fine contribution in the Northern Hemisphere. The results also demonstrate the utility in assimilation methodologies for identifying systematic model biases, using the data assimilation correction fields as an indicator. ©2014. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63040
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Department of Civil and Environmental Engineering, University of California, Berkeley, CA, United States; Department of Earth and Planetary Science, University of California, Berkeley, CA, United States; Earth Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Recommended Citation:
Rubin J.I.,Collins W.D.. Global simulations of aerosol amount and size using MODIS observations assimilated with an Ensemble Kalman Filter[J]. Journal of Geophysical Research Atmospheres,2014-01-01,119(22)