DOI: 10.1002/2016JD025469
论文题名: Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations
作者: Li J. ; Li X. ; Carlson B.E. ; Kahn R.A. ; Lacis A.A. ; Dubovik O. ; Nakajima T.
刊名: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
出版年: 2016
卷: 121, 期: 22 起始页码: 609
结束页码: 627
语种: 英语
英文关键词: aerosol optical depth
; Ensemble Kalman Filter
; multisensor
; representativeness
Scopus关键词: AERONET
; aerosol property
; biomass burning
; Kalman filter
; optical depth
; satellite sensor
; seasonality
; uncertainty analysis
英文摘要: Various space-based sensors have been designed and corresponding algorithms developed to retrieve aerosol optical depth (AOD), the very basic aerosol optical property, yet considerable disagreement still exists across these different satellite data sets. Surface-based observations aim to provide ground truth for validating satellite data; hence, their deployment locations should preferably contain as much spatial information as possible, i.e., high spatial representativeness. Using a novel Ensemble Kalman Filter (EnKF)-based approach, we objectively evaluate the spatial representativeness of current Aerosol Robotic Network (AERONET) sites. Multisensor monthly mean AOD data sets from Moderate Resolution Imaging Spectroradiometer, Multiangle Imaging Spectroradiometer, Sea-viewing Wide Field-of-view Sensor, Ozone Monitoring Instrument, and Polarization and Anisotropy of Reflectances for Atmospheric Sciences coupled with Observations from a Lidar are combined into a 605-member ensemble, and AERONET data are considered as the observations to be assimilated into this ensemble using the EnKF. The assessment is made by comparing the analysis error variance (that has been constrained by ground-based measurements), with the background error variance (based on satellite data alone). Results show that the total uncertainty is reduced by ~27% on average and could reach above 50% over certain places. The uncertainty reduction pattern also has distinct seasonal patterns, corresponding to the spatial distribution of seasonally varying aerosol types, such as dust in the spring for Northern Hemisphere and biomass burning in the fall for Southern Hemisphere. Dust and biomass burning sites have the highest spatial representativeness, rural and oceanic sites can also represent moderate spatial information, whereas the representativeness of urban sites is relatively localized. A spatial score ranging from 1 to 3 is assigned to each AERONET site based on the uncertainty reduction, indicating its representativeness level. ©2016. American Geophysical Union. All Rights Reserved. 资助项目: 41530423
; 41575018
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/62806
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 Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China; Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; NASA Goddard Institute for Space Studies, New York, NY, United States; NASA Goddard Space Flight Center, Greenbelt, MD, United States; French National Center for Scientific Research, University of Lille 1, Lille, France; Japan Aerospace Exploration Agency, Tsukuba Space Center, Tsukuba, Japan
Recommended Citation:
Li J.,Li X.,Carlson B.E.,et al. Reducing multisensor satellite monthly mean aerosol optical depth uncertainty: 1. Objective assessment of current AERONET locations[J]. Journal of Geophysical Research: Atmospheres,2016-01-01,121(22)