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Support Material for the 36C3 presentation 'Nutzung öffentlicher Klimadaten'

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36C3_Klima

Support Material for the presentation 'Nutzung öffentlicher Klimadaten' given at 36C3, 27.-30. December 2019, Leipzig, Germany. Video (German with Englisch translation)

Links to publications/websites from the talk

Links to data providers

Deutscher Wetterdienst (DWD)

European Center for medium-range weather forecasts (ECMWF)

Copernicus

NASA

  • EOSDIS Earth Observing System Data and Information System, provides access to datasets to the different Distributed Active Archive Centers (DAAC)
  • Worldview visualizes satellite observations and provides data download (Source on GitHub)

Software

This is a collection of scripts in MATLAB and Python for the retrieval, analysis and visualization of data from DWD and ECMWF repositories. The scripts are sorted into directories according to the service. No additional Software is provided for NASA services. Running the MATLAB scripts in Octave requires the mapping and NetCDF packages. The Python scripts require the netCDF4, cftime and SciPy packages for data access and analysis.

DWD

The scripts download, unzip and plot time series and gridded data. Documentation is not downloaded and can be found in the same directory as the data on opendata.dwd.de.

  • load_DWD_grid_data downloads the annual mean temperatures for Germany from 1881 to 2020. Files are unzipped and converted to the binary MATLAB or NumPy format. These are used in scripts for plotting the data.
  • ani_DWD_grid.m display all years and save to animated gif.
  • streifen_DWD_grid calculate warming stripes for arbitrary positions within DWD gridded dataset
  • timeseries_DWD.m download station descriptions, plot of map and download time series of Potsdam air temperature
  • data-folder contains necessary colormaps and a file of geographical coordinates to be used instead of the Gauß-Krüger coordinates in the DWD data files.

ECMWF

The ERA5 data is hosted at the Copernicus Climate Data Store (CDS), which provides access via a python api. Alternatively data can be searched and downloaded in the data catalogue website.

  • ERA5_snow_data_load.py load snow related data for example MATLAB script.
  • ERA5_snow.m Example MATLAB script for data access in NetCDF files.
  • ERA5_snow.py Example Python script for data access in NetCDF files.
  • load_CDS_ERA5_data.py download different 2d and 3D datasets.

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Support Material for the 36C3 presentation 'Nutzung öffentlicher Klimadaten'

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