DOI: 10.1002/2013JD019465
论文题名: Statistical relationship between surface PM<inf>10</inf> concentration and aerosol optical depth over the Sahel as a function of weather type, using neural network methodology
作者: Yahi H. ; Marticorena B. ; Thiria S. ; Chatenet B. ; Schmechtig C. ; Rajot J.L. ; Crepon M.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 23 起始页码: 13265
结束页码: 13281
语种: 英语
英文关键词: aerosol optical depth
; mineral dust concentration
; nonlinear artificial neural network
; weather types
Scopus关键词: Cluster analysis
; Conformal mapping
; Drought
; Dust
; Neural networks
; Particles (particulate matter)
; Weather forecasting
; Aerosol optical depths
; Continuous measurements
; European centre for medium-range weather forecasts
; Meteorological condition
; Mineral dust
; Nonlinear artificial neural networks
; Statistical relationship
; Weather types
; Atmospheric aerosols
; aerosol property
; artificial neural network
; classification
; climate modeling
; concentration (composition)
; data set
; map
; optical depth
; satellite imagery
; seasonality
; weather forecasting
; Banizoumbou
; Cinzana
; Dosso
; Mali
; Niger [West Africa]
; Sahel [Sub-Saharan Africa]
; Segou
英文摘要: This work aims at assessing the capability of passive remote-sensed measurements such as aerosol optical depth (AOD) to monitor the surface dust concentration during the dry season in the Sahel region (West Africa). We processed continuous measurements of AODs and surface concentrations for the period (2006-2010) in Banizoumbou (Niger) and Cinzana (Mali). In order to account for the influence of meteorological condition on the relationship between PM10 surface concentration and AOD, we decomposed the mesoscale meteorological fields surrounding the stations into five weather types having similar 3-dimensional atmospheric characteristics. This classification was obtained by a clustering method based on nonlinear artificial neural networks, the so-called self-organizing map. The weather types were identified by processing tridimensional fields of meridional and zonal winds and air temperature obtained from European Centre for Medium-Range Weather Forecasts (ECMWF) model output centered on each measurement station. Five similar weather types have been identified at the two stations. Three of them are associated with the Harmattan flux; the other two correspond to northward inflow of the monsoon flow at the beginning or the end of the dry season. An improved relationship has been found between the surface PM10 concentrations and the AOD by using a dedicated statistical relationship for each weather type. The performances of the statistical inversion computed on the test data sets show satisfactory skills for most of the classes, much better than a linear regression. This should permit the inversion of the mineral dust concentration from AODs derived from satellite observations over the Sahel. Key Points Identify specific recurrent weather types Characteristics of the mineral dust concentrations over West Africa The surface concentration can thus be inverted from the measured AOD ©2013. 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/63100
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: LISA, Universités Paris Est-Paris Diderot-Paris 7, CNRS, Créteil, France; LOCEAN, Universités Pierre et Marie Curie, IRD, Paris, France; IRD/UJF-Grenoble 1, Dakar, Senegal; IRD-UMR 211 Bioemco, Niamey, Niger
Recommended Citation:
Yahi H.,Marticorena B.,Thiria S.,et al. Statistical relationship between surface PM<inf>10</inf> concentration and aerosol optical depth over the Sahel as a function of weather type, using neural network methodology[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(23)