metobs_toolkit.Modeldata.get_ERA5_data#

Modeldata.get_ERA5_data(metadf, startdt_utc, enddt_utc, obstypes='temp')[source]#

Extract timeseries of the ERA5_hourly dataset.

The units are converted to the toolkit standard units.

(This method is a specific ERA5_hourly wrapper on the

get_gee_dataset_data() method)

Parameters:

  • metadf (pandas.DataFrame) – A dataframe with a ‘name’ index and ‘lat’, ‘lon’ columns. Timeseries are extracted for these locations.

  • startdt_utc (datetime.datetime) – Start datetime of the timeseries in UTC.

  • enddt_utc (datetime.datetime) – Last datetime of the timeseries in UTC.

  • obstypes (str or list of str, optional) – Toolkit observation type to extract data from. There should be a bandname mapped to this obstype for the gee map. Multiple observation types can be extracted if given as a list. The default is ‘temp’.

Return type:

None.

Note

When extracting large amounts of data, the timeseries data will be written to a file and saved on your google drive. In this case, you need to provide the Modeldata with the data using the .set_model_from_csv() method.

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