https://github.com/climateindicator/cip_extremes
Analysis of extreme indicators
Science Score: 26.0%
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Found 2 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (9.6%) to scientific vocabulary
Repository
Analysis of extreme indicators
Basic Info
- Host: GitHub
- Owner: ClimateIndicator
- License: gpl-3.0
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.09 MB
Statistics
- Stars: 2
- Watchers: 2
- Forks: 1
- Open Issues: 6
- Releases: 3
Metadata Files
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:
- Used for IPCC AR6 WGI Chapter 11, Figure 11.2
- usable from about 1961
- lower data availability (~70%) than ERA5 and Berkeley Earth
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
- Repositories: 1
- Profile: https://github.com/ClimateIndicator
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
- 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