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COmodeling

Repo to hold data and code for manuscript "Interpretable Models Capture the Complex Relationship Between Climate Indices and Fire Season Intensity in Maritime Southeast Asia." Manuscript can be found at: https://doi.org/10.1029/2022JD036774

Response variable data
Contains week averaged CO observations from MOPITT within the MSEA region:
MSEA_V8JMOPITT_weeklyanomalies_WEDCEN_nofill.csv

Predictor variable data
Contains week averaged climate mode indices (and OLR as a proxy for MJO):
nino34_weekly_avg.csv
aao_weekly_avg.csv
dmi_weekly_avg.csv
tsa_weekly_avg.csv
msea_olr.csv

R scripts
Two R scripts are provided to reproduce analysis from manuscript:
"RUN_FIRST-create_data_matrix.R" takes the response and predictor variable data and prepares them for modeling
"RUN_SECOND-find_best_model.R" takes the prepared data and finds a sequence of optimally performing models for the given response region

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Data for CO modeling manuscript.

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