https://github.com/climateindicator/cip_extremes

Analysis of extreme indicators

https://github.com/climateindicator/cip_extremes

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Analysis of extreme indicators

Basic Info
  • Host: GitHub
  • Owner: ClimateIndicator
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Size: 1.09 MB
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  • Open Issues: 6
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Created about 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog License

README.md

Climate Indicator Project - Extremes

Authors: Mathias Hauser1, Dominik Schumacher1, Sonia I. Seneviratne1

1Institute for Atmospheric and Climate Science, Department of Environmental Systems Science, ETH Zurich, Zurich, Switzerland

Analysis of land mean extreme indicators - currently annual maximum temperatures (TXx).

Changelog

See CHANGELOG.md.

Data

ERA5

  • Variable: hourly temperature
  • Coverage:
    • Spatial: Global, 0.25°
    • Temporal: 1950-today
  • Reference: Hersbach et al. (2020)
  • Data source: https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels
  • License: Copernicus license
  • Comments:
    • Annual maximum derived from hourly temperature data

Berkely Earth

  • Variable: daily maximum (and minimum)
  • Coverage:
    • Spatial: land-only, 1°; with gaps
    • Spatial: 1750-today
  • Reference: Rhode et al., 2013
  • Data source: https://berkeleyearth.org/data/
  • License: Creative Commons BY-NC 4.0 International
  • Comments:
    • usable from about 1955
    • data for 2022 not complete as of April 2023

HadEX3

  • Variable: annual maximum (and minimum)
  • Coverage:
    • Spatial: land-only, 1.25°; with gaps
    • Spatial: 1901-2018
  • Reference: Dunn et al., (2020)
  • Data source: https://www.metoffice.gov.uk/hadobs/hadex3/download.html
  • License: Open Government Licence
  • Comments:

Further Datasets

This section lists datasets that were not considered in this analyis round.

  • GHCNDEX (https://www.climdex.org/access/)
    • Low data availability, would require uncertainty analysis and/ or infilling.
  • CPC (https://psl.noaa.gov/data/gridded/data.cpc.globaltemp.html)
    • Has outliers in the data
    • Would need a different reference period (starts in 1979)
  • CRU-TS (https://crudata.uea.ac.uk/cru/data/hrg/)
  • 20-century analysis
    • Only up to 2010 and not updated
    • Need to check if appropriate variables are available

License

Copyright (c) 2023 ETH Zurich.

This is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 3 or (at your option) any later version.

The code is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.

You should have received a copy of the GNU General Public License along with this code. If not, see https://www.gnu.org/licenses/.

Note that this license only applies to the code and not the figures and underlying data.

Acknowledgment

HadEX3 [3.0.4] data were obtained from https://www.metoffice.gov.uk/hadobs/hadex3/ on 05.04.2023 and are © British Crown Copyright, Met Office, 2022, provided under a Open Government Licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/2/

References

  • Dunn, R. J. H., Alexander, L. V., Donat, M. G., Zhang, X., Bador, M., Herold, N., et al. (2020). "Development of an Updated Global Land In Situ-Based Data Set of Temperature and Precipitation Extremes: HadEX3." J. Geophys. Res. Atmos. 125. doi:10.1029/2019JD032263.
  • Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horányi, A., Muñoz‐Sabater, J., et al. (2020). "The ERA5 global reanalysis." Q. J. R. Meteorol. Soc. 146, 1999–2049. doi:10.1002/qj.3803.
  • Rohde, R., R. Muller, R. Jacobsen, S. Perlmutter, A. Rosenfeld, J. Wurtele, J. Curry, C. Wickham, and S. Mosher. "Berkeley earth temperature averaging process, geoinfor. geostat.-an overview, 1, 2." Geoinformatics Geostatistics An Overview 1, no. 2 (2013): 20-100.

Owner

  • Name: ClimateIndicator
  • Login: ClimateIndicator
  • Kind: organization

GitHub Events

Total
  • Create event: 1
  • Issues event: 4
  • Release event: 1
  • Issue comment event: 1
  • Push event: 10
  • Pull request event: 9
Last Year
  • Create event: 1
  • Issues event: 4
  • Release event: 1
  • Issue comment event: 1
  • Push event: 10
  • Pull request event: 9

Dependencies

pyproject.toml pypi
environment.yml conda
  • black
  • cartopy
  • cf_xarray
  • cftime
  • dask
  • flake8
  • flox
  • h5netcdf
  • ipykernel
  • ipython
  • isort
  • matplotlib
  • netcdf4
  • numpy
  • pandas <2
  • pip
  • python 3.11.*
  • regionmask
  • scipy
  • seaborn
  • xarray