数据鸟司机气候

气候和大气研究的数据来源：

• climate.EcmwfDriver: 通过 API 从欧洲中期天气预报中心 (ECMWF) 检索数据
• climate.C3SDriver: 通过其 API 从哥白尼气候变化服务 (C3S) 检索数据
• climate.GesDiscDriver：从 NASA EarthData GES DISC 服务中检索数据。

另请参阅：数据鸟

安装

pip install databird-driver-climate

示例配置

以下配置文件使用此包提供的所有驱动程序。

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:"