Brian Blaylock blaylockbk

## standard_atmosphere.py
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mticker
from matplotlib.patches import Rectangle

# Replicate Figure 1.9 (page 10) in Wallace and Hobbs 2nd Edition

# Standard atmosphere data (U.S. Standard Atmosphere 1976)
# https://en.wikipedia.org/wiki/U.S._Standard_Atmosphere
LEVELS_M = np.array([0, 11000, 20000, 32000, 47000, 51000, 71000, 84852, 90000, 120000])

## download_vscode_server.sh
#!/bin/bash

# This script downloads and installs a specific version of VSCode Server for Linux.
# The version is specified by the first argument to the script.
# You can find the git commit id in the output of Remote - SSH plugin in VSCode.
# The output looks like this:
#   ...
#   Using commit id "af28b32d7e553898b2a91af498b1fb666fdebe0c" and quality "stable" for server
#   ...

## numpy_datetime_to_datetime.py
from datetime import datetime
import numpy as np

def to_datetime(date):
    """
    Converts a numpy datetime64 object to a python datetime object
    Input:
      date - a np.datetime64 object
    Output:
      DATE - a python datetime object

## download_GOES_AWS.py
# Brian Blaylock
# Requres `s3fs`
# Website: https://s3fs.readthedocs.io/en/latest/
# In Anaconda, download via conda-forge.

import s3fs

# Use the anonymous credentials to access public data
fs = s3fs.S3FileSystem(anon=True)

## loop_dates.sh
#!/bin/bash

#=======================================================================
# Specify the "start" and "end" time.
#=======================================================================
# Use format "HH:MM YYYY-MM-DD"
start="00:00 2021-04-01"
end="00:00 2021-04-02"
increment="+1 hours"
#=======================================================================

## multipro_template.py
import multiprocessing
from multiprocessing.dummy import Pool as ThreadPool

import numpy as np


def my_multipro(items, func, max_cpus=12):
    """Do an embarrassingly parallel task using multiprocessing.

    Use this for CPU bound tasks.

## pluck_points.py
'''
Brian Blaylock

Most recent function is located here:
https://github.com/blaylockbk/Carpenter_Workshop/blob/main/toolbox/gridded_data.py

But you should consider using the nearest_points() function instead, found here:
https://github.com/blaylockbk/Herbie/blob/master/herbie/tools.py
'''

## border.py
def border(array, corner=0, direction='cw'):
    """
    Extract the values arround the border of a 2d array.

    Default settings start from top left corner and move clockwise.
    Corners are only used once.

    Parameters
    ----------
    array : array_like

## IWWG16-participants.geojson

      
              1 file
            
          
              0 forks
            
          
                0 comments
              
            
              0 stars
            
          
                blaylockbk
                / IWWG16-participants.geojson
            
            
              Created
              May 13, 2023 00:16
            
              
                16th IWWG Workshop Participants
              
          
      Loading

      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.
      
    
## nearest_latlon_index.py
import numpy as np
import xarray as xr

def to_180(lon):
    """
    Wrap longitude from degrees [0, 360] to degrees [-180, 180].

    An alternative method is
        lon[lon>180] -= 360
	import numpy as np
	import matplotlib.pyplot as plt
	import matplotlib.ticker as mticker
	from matplotlib.patches import Rectangle

	# Replicate Figure 1.9 (page 10) in Wallace and Hobbs 2nd Edition

	# Standard atmosphere data (U.S. Standard Atmosphere 1976)
	# https://en.wikipedia.org/wiki/U.S._Standard_Atmosphere
	LEVELS_M = np.array([0, 11000, 20000, 32000, 47000, 51000, 71000, 84852, 90000, 120000])
	#!/bin/bash

	# This script downloads and installs a specific version of VSCode Server for Linux.
	# The version is specified by the first argument to the script.
	# You can find the git commit id in the output of Remote - SSH plugin in VSCode.
	# The output looks like this:
	# ...
	# Using commit id "af28b32d7e553898b2a91af498b1fb666fdebe0c" and quality "stable" for server
	# ...
	from datetime import datetime
	import numpy as np

	def to_datetime(date):
	"""
	Converts a numpy datetime64 object to a python datetime object
	Input:
	date - a np.datetime64 object
	Output:
	DATE - a python datetime object
	# Brian Blaylock
	# Requres `s3fs`
	# Website: https://s3fs.readthedocs.io/en/latest/
	# In Anaconda, download via conda-forge.

	import s3fs

	# Use the anonymous credentials to access public data
	fs = s3fs.S3FileSystem(anon=True)
	#!/bin/bash

	#=======================================================================
	# Specify the "start" and "end" time.
	#=======================================================================
	# Use format "HH:MM YYYY-MM-DD"
	start="00:00 2021-04-01"
	end="00:00 2021-04-02"
	increment="+1 hours"
	#=======================================================================
	import multiprocessing
	from multiprocessing.dummy import Pool as ThreadPool

	import numpy as np


	def my_multipro(items, func, max_cpus=12):
	"""Do an embarrassingly parallel task using multiprocessing.

	Use this for CPU bound tasks.
	'''
	Brian Blaylock

	Most recent function is located here:
	https://github.com/blaylockbk/Carpenter_Workshop/blob/main/toolbox/gridded_data.py

	But you should consider using the nearest_points() function instead, found here:
	https://github.com/blaylockbk/Herbie/blob/master/herbie/tools.py
	'''
	def border(array, corner=0, direction='cw'):
	"""
	Extract the values arround the border of a 2d array.

	Default settings start from top left corner and move clockwise.
	Corners are only used once.

	Parameters
	----------
	array : array_like
	import numpy as np
	import xarray as xr

	def to_180(lon):
	"""
	Wrap longitude from degrees [0, 360] to degrees [-180, 180].

	An alternative method is
	lon[lon>180] -= 360