CMIP6 input data for CORDEX

Collection of information in support of the selection of driving Global Climate Models from CMIP6 for CORDEX. There are two main components:

1. An automatic search for data availability in the ESGF (CMIP6_for_CORDEX_availability_ESGF.csv), plus a manual collection of boundaries available directly from the producers (CMIP6_for_CORDEX_availability_non_ESGF.csv)
2. A manual collection of published results (CMIP6_studies) regarding the plausibility, spread of future outcomes and independence of the CMIP6 models.

Data availability

Parse ESGF metadata to discover CMIP6 model runs meeting the criteria for downscaling. In table CMIP6_for_CORDEX_availability_ESGF.csv, each model run and scenario is tagged according to the availability of enough variables to drive a Regional Climate Model (RCM), to provide typical predictors for Empirical-Statistical Downscaling (ESD) or for Basic analyses (currenly meaning that daily precipitation and near-surface mean temperature are available)

Usage

python3 CMIP6_for_CORDEX.py

Does the search and builds a csv table (CMIP6_for_CORDEX_availability_ESGF.csv) tagging each simulation depending on the variables available in ESGF.

CMIP6 studies

These are collected as YAML files under CMIP6_studies and summarized e.g. in CMIP6_studies_list_EUR.md. The information from all sources is merged in the CMIP6_studies_table_EUR.csv, which are rendered as HTML in https://jesusff.github.io/cmip6-for-cordex