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Chemistry modeling and inverse reconstruction of emissions with a Lagrangian transport model / by Mingzhao Liu. Wuppertal, October, 2024
Inhalt
Introduction
Lagrangian chemical transport modeling
Volcanic sulfur dioxide transport modeling
Inverse modeling on atmospheric source reconstruction
Structure of the thesis
Lagrangian chemical transport modeling
Overview on the MPTRAC model
Exponential decay processes
Wet deposition
Hydroxyl radical oxidation in the gas phase
Hydrogen peroxide oxidation in the aqueous phase
Long-lived tracer chemistry
Implicit chemistry scheme
Inter-parcel mixing algorithm
Case study of long-lived tracers
Data and method
Lagrangian chemical transport simulations of long-lived tracers
ECMWF reanalysis
SPARC Data Initiative
MIPAS satellite observations
Model initialization and setup
Results
Sensitivity of meteorological data
Evaluation of the photolysis data
Sensitivity on mixing parameters
Model results across different potential temperatures
Discussion
Case study of Ambae eruption
Data and Method
Lagrangian transport of volcanic sulfur dioxide plume
AIRS sulfur dioxide index
TROPOMI SO2 measurements
Results
Baseline simulation
Sensitivity test on SO2 release height
Sensitivity tests on OH chemistry
Sensitivity tests on wet deposition
Impact of the extreme convection parameterization
Discussion
Case study of Raikoke eruption
Model initialization
Results
Sulfur dioxide chemical lifetime analysis
Correction for the simplified explicit scheme
Evaluation of the simulated OH field
Selection of the chemistry time step
Assessment of computational costs
Discussion
Inverse source estimation with a particle filter
Particle filter algorithm
Ambae case study
Simulation setup
Particle filter versus backward trajectory method
Sensitivity of reconstructed emissions to sink modeling
Raikoke case study
Simulation setup
Results
Discussion
Summary
Validation of OH fields with diurnal variability
List of figures
List of tables
Bibliography