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Inversions in the project VERIFY
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Methane net total emissions in Europe (WP4)
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 - inversions with surface stations: 
 
     1. constraints are put into a CIF monitor file for a set of core stations: 
     
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         .. literalinclude:: /python_examples/make_monitor_core_stations.py
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             :language: python

        
     2. one job per year is run, based on the following configuration file yml.sed:
     
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         .. literalinclude:: /yaml_examples/config_chimere_inv_1Y.yaml.sed
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             :language: yaml     
     
     3. post-processing of the results include:
     
        a. maps of fluxes and increments:
       
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          .. literalinclude:: /python_examples/maps_fluxes_controlvect.py
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              :language: python
      
       
        b. time series of mixing ratios at the stations (obs, prior, post) and maps of statistical indicators at the stations (ratios posterior to prior):
        
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          .. literalinclude:: /python_examples/ts_monit_concs.py
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              :language: python
        
        
        c. yearly emission budgets for various regions (EU27+UK, EU27 countries, groups of countries):
        
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          .. literalinclude:: /python_examples/sum_per_country_per_year.py
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        .. Example of region masks built from shape files:
        
        
        
        d. time series of emissions for various regions (EU27+UK, EU27 countries, groups of countries):
        
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          .. literalinclude:: /python_examples/ts_fluxes_controlvect.py
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              :language: python
         
        
        
 - inversions with TROPOMI data: 
 
     1. plot raw TROPOMI data:
         
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          .. literalinclude:: /python_examples/plot_TROPOMI_CH4_pixel.py
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              :language: python
             
     
     
     2. put TROPOMI data into a CIF monitor file:

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          .. literalinclude:: /python_examples/make_monitor_TROPOMI.py
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              :language: python
       
     
     3. filter monitor.nc after a first forward simulation:

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          .. literalinclude:: /python_examples/filter_monitor_TROPOMI.py
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              :language: python
       
     
     
     
     4. run the job for year 2019:
      
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         .. literalinclude:: /yaml_examples/chimere_inv_ch4_m1qn3_TROPOMI.yml
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             :language: yaml     

     5. post-processing includes:
     
       a. maps of fluxes and increments: see example for surface inversions
       
       b. comparison of columns (obs to prior and obs to post) as scatter plots:

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          .. literalinclude:: /python_examples/scatter_sat.py
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       c. maps of columns data/prior/posterior and differences:
 
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          .. literalinclude:: /python_examples/map_monitor_sat.py
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              :language: python
      
       
       d. time series of emissions, budgets per country:  see example for surface inversions. 

Nitrous oxide net total emissions in Europe (WP4)
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