Changes between Version 9 and Version 10 of ESM2025-N-cycle/Notebooks_list


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Timestamp:
07/06/23 11:11:09 (12 months ago)
Author:
klaurent
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  • ESM2025-N-cycle/Notebooks_list

    v9 v10  
    44 
    55== Notebooks:  == 
    6    * (22/04/20) 2 different notebooks are useful : Data_viewer and Analyse_3_sflx_NAT_dyn 
     6   * (2022/04/20) 2 different notebooks are useful : Data_viewer and Analyse_3_sflx_NAT_dyn 
    77      1. **Data_viewer**: To easily see a dataset. Interactive mode in order to change different variable at different time. 
    88      2. **Analyse_3_sflx_NAT_dyn**: The 3 datasets (transcom, bouwman, piscidee=Pisces+orchidee) are loaded. Difference are computed (with Bouwman as a reference). Plots are made per month with same scale. Then, a seasonal analysis is done, calculating means/min/max of each dataset per month/year/season. 
    9    * (22/05/23) compare three inventories by total emissions and repatition. 
     9   * (2022/05/23) compare three inventories by total emissions and repatition. 
    1010      3. **Budget_inventories**: Using the output of Incasflx with the three inventories, different sums/computations/plots given percentages and charts per land and ocean, plots per latitude bands, per hemisphere of these emissions... 
    11    * (22/06/15) notebooks to construct charts from CEDS emissions --supplementary data mainly-- 
     11   * (2022/06/15) notebooks to construct charts from CEDS emissions --supplementary data mainly-- 
    1212      4. **CEDS_charts_supllementary_data_N2O** and **Charts_N2O_CEDS** : Notebooks to reconstruct charts in the article of McDuffie 'A global anthropogenic emission inventory of atmospheric pollutants' (same notebooks exist with NH3 charts). It uses the emissions of N2O distributed per category (Agriculture, Energy, Industrial, Transportation, Residential, Commercial, Other, Solvents production and application, Waste, International Shipping) 
    13     * (22/08/04) 2 notebooks created: in relation with CEDS emissions. 
     13    * (2022/08/04) 2 notebooks created: in relation with CEDS emissions. 
    1414      5. **work_on_data_to_complete_sectors_with_unknows_categories** : Notebook in order to better understand repartition of subcategories that are not in CEDS emissions files and grouped in sectors. 
    1515      6. **Transform_2000nc_from1970_to1999_via_CEDScsv** : To reconstruct geographical emissions from 1970 to 1999 from 2000's emissions and with a ratio computed thanks to csv's data. Need to use obelix' script `home/users/klaurent/CEDS_transform/nco_transform_1970_1999_ncfiles.sh` after this notebook (delete _FillValue mainly). 
    16     * (22/09/21) Notebooks with inventories by country (CEDS and EDGAR csv files). 
     16    * (2022/09/21) Notebooks with inventories by country (CEDS and EDGAR csv files). 
    1717      7. **work_on_data_by_sector_country.ipynb**: uses CEDS emissions organized by countries and sectors. 
    1818      8. **work_on_minx_data.ipynb**: uses Minx emissions (EDGAR) organized by countries. No NC file created, only csv. See StepBeforeTransform to transform data in nc file. 
    … …  
    2121      11. **Transform_country_csv_to_nc_1970_2019.ipynb**: same as the one with an equivalent name but with computation of a regional and sectorial factor. 
    2222      12. **StepBeforeTransform_create_data_df_ncfile_for_edgar_repartition.ipynb**: using EDGAR regional repartition, create regional mask and emissions dataframe in order to transform them into ncfile. (roughly same as work_on_dataXXX) 
    23     * (22/10/18) Notebooks to reconstruct emissions from 1850 to 1970 
     23    * (2022/10/18) Notebooks to reconstruct emissions from 1850 to 1970 
    2424      13. **create_proxy_n2o_via_nmvoc.ipynb**: using NMVOC data, reconstruction of a csv files with emissions per country from 1850 to 1969. Also, reconstruction without RCO sector (in order to begin more around 0 Tg/Yr in 1850). 
    2525      14. **Transform_proxy.ipynb** 
    26     * (22/12/13) Reconstructions of anthropogenic emissions 
     26    * (2022/12/13) Reconstructions of anthropogenic emissions 
    2727      15. **Proxy_RegLin_reconstruction_preindustriel.ipynb**: With NMVOC emissions from pre industrial, analyses evolution and correlation between NMVOC and N,,2,,O. (not very useful except to have dataframe for the next step) 
    2828      16. **compare_ant_emissions.ipynb**: Different methods are used to reconstruct nc files for N,,2,,O emissions. This notebook served to visualisation of global emissions. 
    2929      17. **check_coeff_reconstruction_proxy.ipynb**: with different method of reconstruction, result are different, this notebook explore coefficient used to reduce emissions for pre industrial period and after (coeff only per region and coeff per region and sector). 
    30       18. **black_box_emissions_model.ipynb**: little box model to compute concentration with given emissions and inverted model. 
     30    * (2023/03/29) Box and pulse models 
     31      18. **box_emissions_model.ipynb**: little box model to compute concentration with given emissions and inverted model. Different test are used (change lifetime, change beginning, change emissions profiles, add synthetics emissions from 1750,...) 
     32      19. **box_emissions_model-ComparisonsNMIP2.ipynb**: box model and inverted model used with NMIP2 emissions. Comparison with NMIP emissions. 
     33      20. **box_emissions_DifferentModels.ipynb**: Pulse and box models with same experiments as the first one + variable lifetime 
     34    * (2023/06/02) Comparison with HEMCO datasets 
     35      21. **Proxy_reconstruction_with_soilEmissions.ipynb**: using NMVOC emissions from pre industrial, reconstruction of N,,2,,O anthropogenic emissions with soil Emissions subcategory. 
     36      22. **compare_ceds_hemco_emissions.ipynb**: Comparison of datasets (hemco and mine). Different styles of plot (linear, sectorial, stacked, horizontal bars,...) 
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