Ranked members - Donat et al. 2024 - Improving the forecast quality of near-term climate projections by constraining internal variability based on decadal predictions and observations

Reference journal article:

Donat, M. G., Mahmood, R., Cos, P., Ortega, P., & Doblas-Reyes, F. (2024). Improving the forecast quality of near-term climate projections by constraining internal variability based on decadal predictions and observations. Environmental Research: Climate, 3(3), 035013. https://doi.org/10.1088/2752-5295/AD5463

Example of code to read the YAML files:

#######################################
################## R ##################
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# install.packages("yaml")
library(yaml)
file <- 'RankedMembers_accumyears9_constraintregionGlobal_ensemble209.yaml'
member_list <- yaml.load_file(file)
print(member_list[['s1970']][1:30]) # to get the best 30 members for the start date 1970

#######################################
################ Python ###############
#######################################

# pip install pyyaml
import yaml
file = 'RankedMembers_accumyears9_constraintregionGlobal_ensemble209.yaml'
with open(file, "r") as f:
member_list = yaml.safe_load(f)
print(member_list['s1970'][0:30]) # to get the best 30 members for the start date 1970