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Linear_downscaling

Katrina Wheelan

Updated January, 2021

NCAR

(IN PROGRESS)

This repository contains custom Python scripts, plots, and batch scripts for linearly downscaling climate data.

Directories:

  • pythonScripts - A folder to store scripts called by bash scripts

    • gen_time_series.py - A Python file to downscale date using existing betas
    • regress.py - Optimizable Python file to do regression for downscaling
    • regression_methods.py - A module of functions to perform the necessary steps for downscaling
    • plotting.py - A module of plotting functions for the modeled data
    • settings.txt - Settings for regress.py
    • helperScripts/ - A folder of other non-essential scripts
    • txt_files - a folder csv files
  • bashScripts/ - Contains batch scripts for submission to the NCAR supercomputer

    • gen_time_series.sh -- A script to generate time series from existing betas
    • regress_OLS.sh -- A script to run regression, save betas, save predictions, and generate plots
  • SDSM_p1/ - Plots and raw data from running SDSM for daily maximum temperature on p1 (lat = 38.125, lon = -101.875) with variance inflation = 1

    • plots/
      • Compare - A few plots comparing the Python output to SDSM output for predictions
      • SDSM/ - Plots of just the SDSM output
    • betas_python.txt - the coefficients generated by the python program
    • betas.txt - the coefficients generated by SDSM (a txt version of the PAR file)
    • tmax_p1_output.OUT - SDSM OUT file of weather generation (variance inflation = 1)
    • tmax_p1_output.SIM - SDSM metadata file
    • tmax_p1.PAR - SDSM PAR file of betas

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Project in progress. A collection of tools to statistically downscale climate data.

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