wiki:ESM2025-N-cycle

Version 55 (modified by klaurent, 10 months ago) (diff)

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ESM2025-N-cycle

This page is dedicated to the ESM2025 project (Earth System Models - European Project), especially for the N-cycle modelling. On this topic are working Marion Gehlen, Juliette Lathière, Didier Hauglustaine, Nicolas Vuichard and Karine Laurent.

You will find information on the evolution of the project on these different pages:

Last meeting

On Wednesday 13rd September

With everyone.

Unfortunately, nudged configuration doesn't improve results; instead, it's worth because lifetime falls down to 90 years! I show some comparative plot, especially phtrate/vmrn2o/inv_o1d and temperature in order to understand the difference between the two simulations. The N2O concentration profiles are also showed and are very different in high latitudes during the summer. After analysing the winds, there are largely different, meaning that the transport is totally different. A reason to that could be the absence of computation of ozone in the stratosphere: it seems that Zoé had a similar problem (Anne will send us documents about what she had).

TO DO

  • Run simulation with ok_climoz=y in order to have computation of ozone,
  • Compare simulations,
  • If results are still bad, run simulation with aerosols and solar forcing.
  • Compute burden in troposphere only (until 200 hPa).

From now on, meetings will occur on Fridays 2PM.

Last intermediate conclusions

Reconstruction of anthropogenic N2O emissions in pre industrial

  1. from 1850 to 1969: proxy with NMVOC and linear regression, only total emissions per region (no information about sectors);
  2. from 1850 to 1969: reconstruction per region using 1970's emissions as reference;
  3. from 1970 to 1999 (extended to 2019): reconstruction per region and sector, using 2000's emissions as reference. (+modification of agriculture sector by factor 0.40 in order to drop soil emissions.)

Remark: A slight difference exists between data from csv file and data in netCDF file; it can be shown with the comparison of 'Notebooks/N2O_sector_country_via_ncfile_maks.csv' (data from netCDF file) and 'Notebooks/total_em_CEDS_sector_country_1970_2019_repartEDGAR2.csv'. This might be due to the maks used...

Last notebooks/working documents

  1. compare_ant_emissions.ipynb: Different methods are used to reconstruct nc files for N2O emissions. This notebook served to visualisation of global emissions.
  2. 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).
  3. black_box_emissions_model.ipynb: little box model to compute concentration with given emissions and inverted model.

+ on Irene:

  • on workdir: scripts_nco/prepare_N2OLOSS.job: will compute N2O total loss, N2O photolyse loss, N2O o1d loss and N2O burden. This file creates some nc file on scratch directory (in Loss_files) and some txt file in place.
  • on workdir: scripts_ferret: some scripts to draw more or less beautiful pictures.
  • path to simulation directory (on work-gen2201-cont003):
    • with Orchidee_Quest: ESM2025/modipsl/config/LMDZORINCA_v6
    • with Orchidee_3: ESM2025/modipsl_v6.3/config/LMDZORINCA_v6
    • with Maureen's Code: extract_Maureen/modipsl/config/LMDZORINCA_v6

+ on Ciclad/Spirit?:

  • INCAFLXANT_1970_1999.sh: bash script to create sflx_lmdz_ANT for irene (source code in ANT/McDuffie). The creation is made on datadir.

+ on Obelix:

  • CEDS_transform/nco_transform_1970_1999_ncfiles.sh and nco_transform_country_1970_1999_ncfiles.sh: final step on nc files while transforming excel data into nc files.
  • Interpol_With_rmp.ipynb: Notebook of O. Marti that transform eORCA1 grid into regular one (144x142 here).
  • Ciclad_N2O_values.ipynb: Notebook to quickly see evolution of BBG and ANT emissions, needs a grep command on Ciclad and file transfer to Obelix.
  • Transform_into_ncfile_preindustrial.sh: script corresponding to the notebook Transform_country_csv_to_nc_1970_2019.ipynb for preindustrial period.

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