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The Earth System Grid Federation (ESGF) provides access to the largest archive of model climate data world-wide. de-esgf-downloader provides a simple, programmatic interface to access/download the model climate data available in the ESGF archive. It supports parallel downloads of multiple datasets and dataset chunks, as well as caching of already downloaded datasets. It is developed at the GFZ German Research Centre for Geosciences (https://www.gfz-potsdam.de) and funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project (https://www.digitalearth-hgf.de/). Link to Git Repository: https://git.geomar.de/digital-earth/de-climate-change/de-esgf-download
We acknowledge funding from the Initiative and Networking Fund of the Helmholtz Association through the project "Digital Earth".
{"references": ["Gitlab Repository: https://git.geomar.de/digital-earth/de-climate-change/de-esgf-download"]}
python, digital earth, esgf, download, model climate data, Digital Earth
python, digital earth, esgf, download, model climate data, Digital Earth
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 1 |

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