Weather Data for Agriculture

Provides historic, current, and forecast weather data for agriculture globally.


A data block that provides historic, current and forecast data for agriculture through the Meteomatics Weather API. These datasets are available worldwide starting with 1979.

See this block on the marketplace.

Meteomatics - Precipitation Map
Meteomatics - Precipitation Map

Technical information

Compatible blocks

  • NetCDF → GeoTIFF Conversion

Geographic coverage

The geographic coverage is global.

Dataset information

Spatial resolutionTo avoid reaching the query limit provided by the Meteomatics Weather API, the spatial resolution (in decimal degrees) for retrieving the time series of a weather parameter will be set based on the AOI size. The minimum resolution is 90 m (0.001 decimal degrees):
0.001 decimal degrees (AOI < 100 km2)
0.01 decimal degrees (AOI 100 - 10000 km2)
0.1 decimal degrees (AOI 10000 - 100000 km2)
1 decimal degree (AOI > 100000 km2)
Dataset typeOptical and radar
Satellite sensorsThe dataset is a satellite composite that merges images acquired by the following geostationary sensors:
Himawari 8
Meteosat 8
Meteosat 11
Meteosat MSG
For more information, see Satellite Imagery.
Revisit frequencysub-hourly
Data availabilityHistorical data: starting with 1979
Forecast data: up until 2100
Global weather forecasting modelmix
File formatNetCDF
Bit depth per pixel64-bit (float)
Coordinate systemEPSG:4326
Can be reused in an UP42 workflowNo


The AOI must be minimum 0.01 km2.

Weather and climate parameters

Weather and climate parametersMeteomatics parameter nameExample
Amount of precipitation in the previous interval [mm]precip_<interval>:mmprecip_5min:mm
Max. diameter of hail in the previous interval [cm]hail_<interval>:cmhail_6h:cm
Instantaneous temperature AGLt_<level>:<unit>t_1000hPa:K
Frost depth [cm]frost_depth:cmfrost_depth:cm
Chance for soil frost occurrence [%]soil_frost:psoil_frost:p
Soil moisture deficit - a measure for droughts - deviation from long year average [mm]soil_moisture_deficit:mmsoil_moisture_deficit:mm
Soil moisture index at a certain depth [cm]soil_moisture_index_<depth>:idxsoil_moisture_index_-15cm:idx
Evapotranspiration of previous interval [mm]evapotranspiration_<interval>:mmevapotranspiration_1h:mm
Accumulated growing degree days [gdd]growing_degree_days_accumulated:gddgrowing_degree_days_accumulated:gdd
Sum of grass land temperature [°C]grass_land_temperature_sum:<unit>grass_land_temperature_sum:C
Leaf wetness indexleaf_wetness:idxleaf_wetness:idx
Phytophthora negative prognosis (index for safety measures against potato blight)phytophthora_negative:idxphytophthora_negative:idx
Most similar year [y]most_similar_year:ymost_similar_year:y

For a complete list, see Agricultural Parameters.

How it works

Supported JSON parametersDefault valueMinMaxExamples
time"2020-01-01T00:00:00+00:00/2021-12-31T23:59:59+00:00"19792100"time": "2020-01-01T00:00:00+00:00/2021-12-31T23:59:59+00:00"
variables[ "precip_3h:mm", "soil_moisture_index_-15cm:idx", "grass_land_temperature_sum:C" ]n.a.n.a."variables": [ "frost_depth:cm", "soil_moisture_index_-15cm:idx","soil_moisture_deficit:mm", "grass_land_temperature_sum:C", "soil_frost:p", "precip_5min:mm"]
time_seriesnull19792100"time_series": ["2021-03-31T00:00:00+00:00/2021-04-01T00:00:00+00:00", "2021-04-30T00:00:00+00:00/2021-05-01T00:00:00+00:00" ]
time_interval31-"time_interval": 6
bbox/intersectsnull0.01 km2n.a.Please check the examples from the JSON parameters.


It is not possible to run a test query in the job configuration window. The length of the forecasting period and the spatial resolution depend on the model from which the requested parameters originate.


Example of a workflow created with the data block Weather Data for Agriculture, based on a set of weather parameters:


Example of a workflow created with the data block Weather Data for Agriculture, based on a set of weather parameters:




To know more please check the block capabilities specifications.