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
Installation
pip install databird-driver-climate
Example config
The following configuration file uses all the drivers that are provided by this package.
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:"
