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Chemistry and Aerosol","monthly_downloads":0,"total_dependent_repos":0,"total_dependent_packages":0,"readme":"# EUREC4A Intake catalogue\n\n![weekly_tests.yml](https://github.com/eurec4a/eurec4a-intake/actions/workflows/weekly_tests.yml/badge.svg)\n [![](https://zenodo.org/badge/doi/10.5281/zenodo.8422321.svg)](https://doi.org/10.5281/zenodo.8422321)\n\nThis repository contains an [intake](https://github.com/intake/intake)\ncatalogue for acessing data from  the [EUREC4A field\ncampaign](http://eurec4a.eu/) stored on: 1)\n[AERIS](https://observations.ipsl.fr/aeris/eurec4a/#/) and 2) Munich\nUniversity (via OPeNDAP) and 3) OPeNDAP access to files at\n[NOAA's National Center for Environmental Information](https://www.ncei.noaa.gov/thredds-ocean/catalog/psl/atomic/catalog.html) and 4) data linked via [IPFS](https://ipfs.io/).\n\n\n## Usage\n\nTo use you will need to install `intake`, `xarray`, `intake-xarray`, `zarr`,\n`pydap`, `requests`, `s3fs` and `ipfsspec`\n\n```bash\npip install \"intake\u003c2.0.0\" xarray intake-xarray zarr pydap s3fs requests ipfsspec\n```\n\n**Or**, if you feel courageous (and want the newest updates), you can also install the [`requirements.txt`](requirements.txt) directly:\n\n```bash\npip install -r https://raw.githubusercontent.com/eurec4a/eurec4a-intake/master/requirements.txt\n```\n\nThe catalogue (and underlying data) can then be accessed directly from python:\n\n```python\n\u003e from intake import open_catalog\n\u003e cat = open_catalog(\"https://raw.githubusercontent.com/eurec4a/eurec4a-intake/master/catalog.yml\")\n```\n\nYou can list the available sources with:\n```python\n\u003e\u003e list(cat)\n['radiosondes', 'barbados', 'dropsondes', 'halo', 'p3', 'specmacs']\n\n\u003e\u003e list(cat.radiosondes)\n['atalante_meteomodem',\n 'atalante_vaisala',\n 'bco',\n 'meteor',\n 'ms_merian',\n 'ronbrown']\n```\n\nThen load up a [dask](https://github.com/dask/dask)-backed `xarray.Dataset` so\nthat you have access to all the available variables and attributes in the\ndataset:\n\n```python\n\u003e\u003e ds = cat.radiosondes.ronbrown.to_dask()\n\u003e\u003e ds\n\u003cxarray.Dataset\u003e\nDimensions:      (alt: 3100, nv: 2, sounding: 329)\nCoordinates:\n  * alt          (alt) int16 0 10 20 30 40 50 ... 30950 30960 30970 30980 30990\n    flight_time  (sounding, alt) datetime64[ns] dask.array\u003cchunksize=(83, 775), meta=np.ndarray\u003e\n    lat          (sounding, alt) float32 dask.array\u003cchunksize=(83, 1550), meta=np.ndarray\u003e\n    lon          (sounding, alt) float32 dask.array\u003cchunksize=(83, 1550), meta=np.ndarray\u003e\n    sounding_id  (sounding) |S1000 dask.array\u003cchunksize=(165,), meta=np.ndarray\u003e\nDimensions without coordinates: nv, sounding\nData variables:\n    N_gps        (sounding, alt) float32 dask.array\u003cchunksize=(83, 1550), meta=np.ndarray\u003e\n    N_ptu        (sounding, alt) float32 dask.array\u003cchunksize=(83, 1550), meta=np.ndarray\u003e\n    alt_bnds     (alt, nv) int16 dask.array\u003cchunksize=(3100, 2), meta=np.ndarray\u003e\n...\n```\n\nYou can then slice and access the data as if you had it available locally\n\n## Contributing\n\nPlease have a look at our [contribution guide](CONTRIBUTING.md).\n","funding_links":[],"readme_doi_urls":["https://doi.org/10.5281/zenodo.8422321"],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["zarr","data-access","data-catalog","weather","grib","atmospheric-science","radiative-transfer"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/173399","html_url":"https://ost.ecosyste.ms/projects/173399"}