openeemeter / eeweather

Fetch NCDC ISD, TMY3, or CZ2010 weather data that corresponds to ZIP Code Tabulation Areas or Latitude/Longitude.

EEweather: Weather station wrangling for EEmeter

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EEweather — tools for matching to and fetching data from NCDC ISD, TMY3, or CZ2010 weather stations.

EEweather comes with a database of weather station metadata, ZCTA metadata, and GIS data that makes it easier to find the right weather station to use for a particular ZIP code or lat/long coordinate.

Read the docs.

Installation

EEweather is a python package and can be installed with pip.

$ pip install eeweather

Supported Sources of Weather Data

• NCDC Integrated Surface Database (ISD)
• Global Summary of the Day (GSOD)
• NREL Typical Meteorological Year 3 (TMY3)
• California Energy Commission 1998-2009 Weather Normals (CZ2010)

Features

• Match by ZIP code (ZCTA) or by lat/long coordinates
• Use user-supplied weather station mappings
• Match within climate zones
  • IECC Climate Zones
  • IECC Moisture Regimes
  • Building America Climate Zones
  • California Building Climate Zone Areas
• User-friendly SQLite database of metadata compiled from primary sources
  • US Census Bureau (ZCTAs, county shapefiles)
  • Building America climate zone county lists
  • NOAA NCDC Integrated Surface Database Station History
  • NREL TMY3 site
• Plot maps of outputs

Contributing

Dev installation:

$ pipenv --python 3.6.4  # create virtualenv with python 3.6.4
$ pipenv install --dev   # install dev requirements with pipenv
$ pipenv install -e .    # install package in editable mode
$ pipenv shell           # activate pipenv virtual environment

Build docs:

$ make -C docs html

Autobuild docs:

$ make -C docs livehtml

Check spelling in docs:

$ make -C docs spelling

Run tests:

$ pytest

Run tests on multiple python versions:

$ tox

Upload to pypi (using twine):

$ python setup.py upload

Use with Docker

To use with docker-compose, use the following:

Run a tutorial notebook (copy link w/ token, open tutorial.ipynb):

$ docker-compose up jupyter

Live-edit docs:

$ docker-compose up docs

Open a shell:

$ docker-compose run --rm shell

Run tests:

$ docker-compose run --rm test

Run the CLI:

$ docker-compose run --rm eeweather --help

Notice Regarding CZ2010 Data

There may be conditions placed on their international commercial use. They can be used within the U.S. or for non-commercial international activities without restriction. The non-U.S. data cannot be redistributed for commercial purposes. Re-distribution of these data by others must provide this same notification.

See further explanation here.