brews

#! /usr/bin/env bash

# 2021-12-21
# B. Malevich <[email protected]>

# Launch Argo Workflow end-to-end runs with various parameter files.


set -e

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# Get tasmin, tasmax parameter files for each GCM and combine to create DTR parameter file.
# This is all rough and likely to break. Sorry.
import logging
import pathlib
import dearprudence
import dearprudence.validation


PARAMS_DIR = pathlib.Path("/Users/bmalevich/Projects/downscaleCMIP6/workflows/parameters")

brews

#! /usr/bin/env bash

# 2021-11-22
# B. Malevich <[email protected]>

# Launch Argo Workflow end-to-end runs with various parameter files.


set -e

brews

"""
Idea to quickly test that QPLAD adjustment factors (AF) and quantiles are matched correctly.

This uses ``dodola`` https://github.com/ClimateImpactLab/dodola/tree/f331623dfaffd3d341d27a3bc36f156646c3620f
"""

import numpy as np
import xarray as xr

from dodola.core import (

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"""
Example python and numpy function to get the 'inverse longitude' from opposite global hemisphere, from -180 to 180.
"""
import numpy as np


def wraparound_lon(x):
    """Get the 'inverse longitude' from opposite global hemisphere, from -180 to 180.
    
    I'm not sure what the proper term for this is.

brews

import xarray as xr


def add_cyclic(ds, dim):
    """
    Adds wrap-around, appending first value to end of data for named dimension.

    Basically an xarray version of ``cartopy.util.add_cyclic_point()``.
    """
    return ds.map(

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# Remove duplicate objects in a JSON file.

import json


INPATH = "offending.json"
OUTPATH = "corrected.json"


with open(INPATH, "r") as fl:

brews

#! /usr/bin/env bash

# Remove EXIF metadata from IMG_*.jpg files in directory. 
# Write as 70% *_clean.jpg in same directory.

for f in IMG_*.jpg
do
    echo "Processing $f"
    echo "Writing ${f%.*}_clean.jpg"
    convert "${f}" -quality 70% -strip "${f%.*}_clean.jpg"

brews

"""
Demo using cartopy.util.add_cyclic_point with an xarray Dataset to 
add a cyclic or wrap-around pixel to the `lon` dimension. This can be useful
for plotting with `cartopy` or regridding with `xesmf`.
"""

import xarray as xr
from cartopy.util import add_cyclic_point

brews

# Intake Catalog for the workflow in-progress
plugins:
  source: [ module: intake_xarray ]
sources:
  cmip6_raw:
    description: Catalog of raw CMIP6 GCM data to be cleaned and prepared
    metadata:
      title: Raw CMIP6 GCM data
    parameters:
      source_id: