glosat-py

Experimental station viewer Plotly Python Dash app for inspecting GloSAT.p04 land surface air temperature data. Part of ongoing work for the GloSAT Project:

• station info (lat, lon, elevation and WMO metadata)
• station location on zoomable OpenStreetmap
• station climate stripes (Ed Hawkins, University of Reading
• station monthly and yearly moving average anomaly timeseries (from 1961-1990)
• station seasonal decadal mean anomaly timeseries
• station anomalies ranked by year
• station monthly climatology of absolute temperature
• station inspector app
• python reader for GloSAT.p04 station database in Pandas pickle format

Experimental version available for issue-checking.

Contents

• index.py - Plotly Python Reactive Dash app index file
• app.py - Plotly Python dash instance
• Procfile - gunicorn deployment settings
• runtime.txt - Python build version
• requirements.txt - Python library dependencies
• filter_cru_dft.py - Python dicrete Fourier transform filter for decadal smoothing of seasonal timeseries
• ml_optimisation.csv - Look-up table for the DFT filter

The first step is to clone the latest glosat-py code and step into the check out directory:

$ git clone https://github.com/patternizer/glosat-py.git
$ cd glosat-py

Using Standard Python

The code should run with the standard CPython installation and was tested in a conda virtual environment running a 64-bit version of Python 3.8.12.

The glosat-py app instance can be run locally at localhost by calling:

$ python index.py

License

The code is distributed under terms and conditions of the Open Government License.

Contact information

• Michael Taylor