config.yaml

# -----------------------------------------------------------------
# MASTER CONFIGURATION for Diurnal Cycle Analysis
# -----------------------------------------------------------------

# === 1. File & Directory Paths ===
# (Using your /work/s1b/test_dc_pod/ structure)

# Path to the single model NetCDF file
# (Used by: pr_diurnal_cycle_PY.py)
pr_file: "/work/s1b/dc_pod/1_input_model/atmos_4xdaily_avg.2011010100-2020123123.precip.nc"

# Path to the directory full of RAW satellite HDF5 files
# (Used by: preprocess_satellite_data.py)
raw_satellite_dir: "/work/s1b/dc_pod/2_input_satellite_raw/"

# Path to the directory where pre-processing will SAVE its output
# AND where the analysis script will READ its obs data from.
# (Used by: BOTH scripts)
processed_satellite_dir: "/work/s1b/dc_pod/3_processed_satellite/"

# Path to the final directory for plots and logs
# (Used by: pr_diurnal_cycle_PY.py)
work_dir: "/work/s1b/dc_pod/4_output_plots_and_logs/"


# === 2. Analysis & Plotting Settings ===

# The specific time period to analyze (must be in 'YYYY-MM-DD' format)
# (Used by: BOTH scripts)
analysis_period:
  start: "2015-01-01"
  end: "2015-12-31"
  
# Settings for the final plot titles
# (Used by: pr_diurnal_cycle_PY.py)
casename: "SPEAR JJA 2015 Test"
startdate: "2015"
enddate: "2015"

# The variable name for precipitation in your model file
# (Used by: pr_diurnal_cycle_PY.py)
pr_var: "precip"


# === 3. Preprocessing Dask Settings ===
# (Used by: preprocess_satellite_data.py)

n_cores: 4
memory_per_worker: "16GB"