Julia Wagemann Geospatial data consultant, Visiting Scientist @ECMWF, PhD candidate @MarbugUniversity

1. Open
METEOROLOGICAL
and
CLIMATE DATA Julia Wagemann
Geospatial data consultant,
Visiting Scientist @ECMWF,
PhD candidate @MarbugUniversity
@JuliaWagemann
jwagemann.github.io

3. CLIMATE
ERA5 reanalysis
● 1979 - almost Near-Real-Time
○ (soon from 1950 onwards)
● Temporal resolution: hourly
● Spatial resolution: ~ 30 km
(ERA5-Land: 9 km)
Seasonal forecasts
● monthly forecasts up to 6 months
ahead
● Spatial resolution: 10 km

4. CAMS reanalysis
● 2003 - 2016 (will be
extended
● Spatial resolution: 80 km
CAMS Forecasts
● 3-hourly forecasts up to
5 days in advance
● Spatial resolution: 80 km
Parameters: Ozone, CO2, SO2,
NO2, ...
AIR QUALITY

5. Fire danger indices
● Fire-Weather Index
● Fine Fuel Moisture Code
● Duff Moisture Code
● Drought Code
● Build-Up Index
● Initial Spread Index
● Daily Severity Rating
Time period: 1 Jan 1980 - 31 Dec 2018
Temporal resolution: daily
Spatial resolution: 80 km
FIRE DANGER

6. FLOOD
River discharge
● GloFAS 30-day forecast
○ 1 Jan 2018 - realtime
○ Temporal resolution: daily
○ Spatial resolution: 10 km
● GloFAS 30-day reanalysis
○ 1981-2017
○ Temporal resolution: daily
○ Spatial resolution: 10 km

7. Copernicus
FULL, FREE and OPEN
data policy

8. https://pypi.org/project/
cdsapi/
import cdsapi
c = cdsapi.Client()
c.retrieve(
'reanalysis-era5-single-levels',
{
'product_type':'reanalysis',
'format':'netcdf',
'variable':'2m_temperature',
'year':'2019',
'month':'05',
'day':'01',
‘area’:’90/-180/-90/179.75
'time':[
'00:00','01:00','02:00',
'03:00','04:00','05:00',
'06:00','07:00','08:00',
'09:00','10:00','11:00',
'12:00','13:00','14:00',
'15:00','16:00','17:00',
'18:00','19:00','20:00',
'21:00','22:00','23:00'
]
},
'download.nc')
Python libraries to handle NetCDF / GRIB files:
● xarray
● cfgrib
● netCDF4
https://cran.r-project.org/web
/packages/ecmwfr/index.html
R package to handle NetCDF / raster files:
● Raster

9. Some resources:
● Climate Data Store | https://cds.climate.copernicus.eu/#!/home
● ECMWF Public Datasets | https://apps.ecmwf.int/datasets/
● Global Flood Awareness System | http://www.globalfloods.eu/
● Fire danger forecasts | https://zenodo.org/communities/wildfire/
● ECMWF WMS Service endpoint |
http://apps.ecmwf.int/wms/?token=public&request=GetCapabilities&version=1.3.1
● Example notebooks |
https://github.com/jwagemann/2019_egu_workshop_jupyter_notebooks/blob/maste
r/02_Geospatial_Data_Access.ipynb