Metadata-Version: 2.1
Name: databird-driver-climate
Version: 0.1.2
Summary: Data sources for climate and atmospheric research.
Home-page: https://github.com/jonas-hagen/databird-driver-climate
Author: Jonas Hagen
Author-email: jonas.hagen@iap.unibe.ch
Maintainer: Jonas Hagen
Maintainer-email: jonas.hagen@iap.unibe.ch
License: MIT
Description: 
        # databird-driver-climate
        
        Data sources for climate and atmospheric research:
        
        * `climate.EcmwfDriver`: Retrieve data from the European Centre for Medium-Range Weather Forecasts (ECMWF) via their API
        * `climate.C3SDriver`: Retrieve data from the Copernicus Climate Change Service (C3S) via their API
        * `climate.GesDiscDriver`: Retrieve data from the NASA EarthData GES DISC service.
        
        See also: [databird](https://github.com/jonas-hagen/databird)
        
        ## Installation
        
        ```
        pip install databird-driver-climate
        ```
        
        ## Example config
        
        The following configuration file uses all the drivers that are provided by this package.
        
        ```yaml
        general:
          root: /tmp/databird
        
        profiles:
          c3s:
            driver: climate.C3SDriver
            configuration:
              key: 1234:aabbcc-ddeeff-1234abcdefg
        
          ecmwf:
            driver: climate.EcmwfDriver
            configuration:
              key: env:$ECMWF_API_KEY
              email: "someone@example.com"
        
          gesdisc:
            driver: climate.GesDiscDriver
            configuration:
              login: username_xxx
              password: password_xxx
        
        repositories: 
          era5:
            description: ERA5 data
            profile: c3s
            period: 1 day
            delay: 177 days
            start: 2019-02-01
            queue: slow
            targets:
              grib2: "{time:%Y}/era5_europe_{time:%Y%m%d}_00.grib"
            configuration:
              name: reanalysis-era5-complete
              request:
                dataset: era5
                class: ea
                type: an
                stream: oper
                expver: 1
                levtype: ml
                levelist: 71
                param: 131
                area: 70/-130/30/-60
                grid: 2/2
                date: "{time:%Y-%m-%d}"
                time: "{time:%H}"
        
          ecmwf/oper:
            description: ECMWF operational
            profile: ecmwf
            period: 1 days
            delay: 3 days
            start: 2019-08-01
            queue: slow
            targets:
              grib2: "{time:%Y}/ecmwf_oper_{time:%Y%m%d}.grib"
            configuration:
              mars:
                class: OD
                type: AN
                stream: OPER
                expver: 1
                grid: 1.125/1.125
                area: 90/-180/80/100
                levtype: ML
                levelist: ALL
                param: T/U/V
                date: "{time:%Y-%m-%d}"
                time: 00/06/12/18
                use: INFREQUENT
                format: GRIB2
        
          merra:
            description: MERRA-2
            profile: gesdisc
            period: 1 days
            delay: 180 days
            start: 2019-02-01
            queue: slow
            targets:
              default: "{time:%Y}/merra_{time:%Y-%m-%d}.nc"
            configuration:
              url: https://goldsmr5.gesdisc.eosdis.nasa.gov:443/opendap/MERRA2/M2I3NPASM.5.12.4/{time:%Y}/{time:%m}/MERRA2_400.inst3_3d_asm_Np.{time:%Y%m%d}.nc4
              variables: [U, T, V]
              subset:
                lat: "20:1:30"
                lon: "10:1:20"
                lev: "10:"
        
         
        ```
        
        
        
Platform: UNKNOWN
Classifier: Operating System :: OS Independent
Requires-Python: >=3.5.*, <4
Description-Content-Type: text/markdown
