Dataset problem: Automatic fixing for errors in AERmon cmor data? #2613
Description
Hello,
I work with yaml recipes and when
I run the recipe copied below it terminates with an error for all of the
CMIP6 AERmon datasets listed in the recipe that are:
-
CESM2 pb air_pressure
- {dataset: CESM2, grid: gn, institute: NCAR, mip: AERmon, ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: CESM2, start_year: 1979, end_year: 2014} -
CESM2-WACCM pb air_pressure
- {dataset: CESM2-WACCM , grid: gn, institute: NCAR,mip: AERmon, ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: CESM2-WACCM, start_year: 1979, end_year: 2014} -
MPI-ESM-1-2-HAM pb found 2 air pressure
- {dataset: MPI-ESM-1-2-HAM, grid: gn, institute: HAMMOZ-Consortium, mip: AERmon, ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: MPI-ESM, start_year: 1979, end_year: 1998} -
EC-Earth-Consortium pb found 2 air pressure
- {dataset: EC-Earth3-AerChem, grid: gn, institute: EC-Earth-Consortium, mip: AERmon, ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: EC-Earth, start_year: 1979, end_year: 1979}
I have the following questions:
-
I guess if there would be ESMValCore "CMOR fixing scripts" for the
above dataset they would be automatically applyed, or if not what
are the commands lines in the yml recipe to apply then ? -
if "CMOR fixing scripts" do not exist already for the above datasets
, I would be grateful
for developements so the community can deal with these AERmon
datasets. For a number of chemical fields, CMIP6 model outputs exist
only for this AERmon table
All the best,
Martine Michou
-----
# ESMValTool
---
documentation:
title: Ozone test diags
description: >
Test recipe for simple ozone diagnostics..
authors:
- lauer_axel
maintainer:
- lauer_axel
# les années ci dessous sont celles pour la variable oh pas terrible...
datasets:
# CESM2 pb air_pressure
# - {dataset: CESM2, grid: gn, institute: NCAR, mip: AERmon,
# ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: CESM2, start_year: 1979, end_year: 2014}
# CESM2-WACCM pb air_pressure
# - {dataset: CESM2-WACCM , grid: gn, institute: NCAR,mip: AERmon,
# ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: CESM2-WACCM, start_year: 1979, end_year: 2014}
# MPI-ESM-1-2-HAM pb found 2 air pressure
# - {dataset: MPI-ESM-1-2-HAM, grid: gn, institute:
# HAMMOZ-Consortium, mip: AERmon, ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: MPI-ESM, start_year: 1979, end_year: 1998}
# EC-Earth-Consortium pb found 2 air pressure
- {dataset: EC-Earth3-AerChem, grid: gn, institute: EC-Earth-Consortium, mip: AERmon, ensemble: r1i1p1f1, exp: amip, project: CMIP6 , alias: EC-Earth, start_year: 1979, end_year: 1979}
preprocessors:
pp_timeseries1000:
custom_order: true # makes preprocessor much faster since input for extract_levels is smaller
regrid:
target_grid: 2x2
scheme: linear
extract_levels:
levels: 100000
scheme: linear
coordinate: air_pressure
extract_region:
start_latitude: -90
end_latitude: 90
start_longitude: 0
end_longitude: 360
area_statistics:
operator: mean
diagnostics:
oh_timeseries1000:
description: Plot times series oh at 1000 hPA
variables:
oh:
preprocessor: pp_timeseries1000
scripts:
plot:
script: /home/michou/ESMValTool_2.10cnrm/Recipes_tested/From_ALauer/multi_datasets.py
plot_folder: '{plot_dir}'
plot_filename: '{plot_type}_{real_name}_{dataset}_{mip}'
plots:
timeseries: