[CMORization request] NorESM2-LM LRTAP-low

[oyvindseland]

Mandatory information:

Full path to the case(s) of the experiment on NIRD /projects/NS2345K/oyvinds/cases

experiment_id LRTAP-low

model_id NorESM2-LM

CASENAME(s) and years to be CMORized NSSP245_LRTAP-lowdiet_f19_tn14_Forces_20231031, 2015-2050

Optional information

(additional information, if the experiment is branched/hybrid restart from previous parent experiment; you may find more information relevant to the experiment_id here: https://github.com/NorESMhub/noresm2cmor/blob/master/tables/CMIP6_CV.json)

parent_experiment_id LRTAP-base

parent_experiment_rip r1i1p4f5

branch_method 'Branch-restart from year 2015-01-01 of LRTAP-base',

other information

experiment_rip r1i1p4f5

parent case path /projects/NS2345K/oyvinds/cases

case NHIST_f19_tn14_Forces_base_20231006

Physics information: Alternative / updated model version based on CMIP6 but updated with parameterisations from projects NFR-KeyClim and H2020-Forces

Information on aerosol emissions and GHG concentrations, should be added to metdata The global anthropogenic emissions of air pollutants including sulfur dioxide (SO2), nitrogen oxides (NOx), ammonia (NH3), particulate matter (distinguishing PM2.5, PM10 BC, OC, OM), non-methane volatile organic compounds (VOC), carbon monoxide (CO), and methane (CH4) were developed at CIAM/IIASA[2]. These emission datasets have been produced with the GAINS model[1] (Amann et al., 2011) within work under UNECE Convention on Long-Range Transboundary Air Pollution (LRTAP) and cover the 1990-2050 period. The respective emission datasets consist of 5-yearly global annual and monthly emissions and include two to three scenarios, depending on the version of the dataset: Scenario that combines climate policy, behavioral changes, and strong technical mitigation of all pollutants (LRTAP LOW)

[YanchunHe]

Hi @oyvindseland , Sorry, this is not CMIP6 experiments, so I will not be able to CMORize it.