Satellite interpolation procedure

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Table of contents

1 Introduction 
1.1 Atmospheric aerosols (with an emphasis on dust)
1.1.1 Definitions and interest
1.1.2 Dust and African dust
1.2 Data assimilation and numerical models of the atmosphere
1.3 Aerosol data assimilation
1.4 Inversion of dust fluxes
1.5 Outline of this thesis
2 Observation operator and observations 
2.1 Observation operator
2.1.1 LMDZ model
2.1.2 SPLA model
2.1.3 Dust emission model
2.1.3.1 Soil texture and size distribution
2.1.3.2 Wind velocity
2.1.3.3 Horizontal flux
2.1.3.4 Vertical flux
2.1.4 Other emissions
2.2 Observations
2.2.1 Satellite observations
2.2.1.1 MODIS observations
2.2.1.2 MISR observations
2.2.1.3 PARASOL observations
2.2.1.4 SEVIRI-AERUS observations
2.2.1.5 Satellite interpolation procedure
2.2.1.6 MISR AOD redefinition of bins
2.2.2 Ground-based observations
3 Emission fluxes inversion system 
3.1 Cost function and control vector
3.1.1 Control vector sub-regions
3.1.1.1 Dust sub-regions
3.1.2 Cost function
3.2 Error covariance matrices
3.2.1 Covariance matrix of the background errors
3.2.2 Covariance matrix of the observation errors
3.2.3 Desroziers diagnostics
3.3 Minimization
3.3.1 Technical aspects of the sensitivity matrix computation
3.3.2 Cost function minimization
4 Article: Subregional inversions of North African dust sources 
4.1 Published article
4.1.1 Introduction
4.1.2 Data and Methods
4.1.2.1 LMDz-SPLA Model
4.1.2.2 Observations
4.1.2.3 Data Assimilation System
4.1.2.4 Experimental Configuration
4.1.3 Results
4.1.3.1 Cost Function Decrease
4.1.3.2 Correction Factors
4.1.3.3 Comparison with MODIS
4.1.3.4 Comparison with AERONET
4.1.3.5 Emission Fluxes
4.1.4 Discussion
4.1.5 Conclusions
4.2 Further information
4.2.1 Near surface winds
4.2.2 Dust outbreak
4.2.3 Vertical profile
5 Article: Impact of the choice of the satellite AOD product in a sub-regional dust emission inversion 
5.1 Submitted article
5.1.1 Introduction
5.1.2 Inversion system
5.1.2.1 Observation operator
5.1.2.2 Control vector
5.1.2.3 Observations
5.1.2.4 Error covariance matrices and assimilation configuration
5.1.3 Results
5.1.3.1 Some words about the observations
5.1.3.2 Assimilation results: Departures
5.1.3.3 Analysis AOD
5.1.3.4 Mineral dust flux
5.1.4 Conclusions
5.1.5 Appendix: Comparison with AERONET
5.2 About the linear approximation
5.3 Coarse and fine AOD assimilation
5.3.1 Results
6 Inversion with bias correction 
6.1 Motivation
6.2 Cost function with bias correction
6.3 Implementation
6.4 Results
6.5 Conclusions
7 Conclusions and perspectives 
7.1 Summary
7.2 Perspectives
A List of acronyms 
References