Linux

This is a analytic walk-through of the following paper: ClimateBench v1.0: A Benchmark for Data-Driven Climate Projections https://doi.org/10.1029/2021MS002954 (Watson-Paris et al., 2022) conda environment The analysis was conducted under a conda virtual environment (esem). I’ll attached the .yml file of the environment together with the assignment, you can install it with conda env create -f esem.yml. Or if you prefer to install it manually, here are the commands I used:...

1. Main Settings Experiment name: f.e12.FAMIPCN.f19_f19 f f compset; “F” compsets use CAM,CLM, CICE(prescribed-thermo), DOCN(prescribed-SST). e12 cesm1.2.2 (model version) FAMIPCN AMIP run for CMIP5 protocol with CLM/CN: AMIP_CAM4_CLM40%CN_CICE%PRES_DOCN%DOM_RTM_SGLC_SWAV AMIP: time, AMIP runs CAM4: atmosphere model CAM4 CLM40: land model, clm4.0 CN (carbon-nitrogen) model version: a biogeochemistry model that simulates the carbon and nitrogen cycles CICE%PRES: prescribed sea ice DOCN%DOM: DOCN data ocean mode RTM: river transport model, land river runoff...