Weather Data for Agriculture

Description

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.

Technical information

Dataset information

Specifications	Description
Spatial resolution	To 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 type	Optical and radar
Satellite sensors	The dataset is a satellite composite that merges images acquired by the following geostationary sensors: GOES 16 GOES 17 Himawari 8 Meteosat 8 Meteosat 11 Meteosat MSG For more information, see Satellite Imagery.
Revisit frequency	sub-hourly
Data availability	Historical data: starting with 1979 Forecast data: up until 2100
Global weather forecasting model	`mix`
File format	NetCDF
Bit depth per pixel	64-bit (float)
Coordinate system	EPSG:4326
Can be reused in an UP42 workflow	No

Weather and climate parameters

Weather and climate parameters	Meteomatics parameter name	Example
Amount of precipitation in the previous interval [mm]	`precip_<interval>:mm`	`precip_5min:mm`
Max. diameter of hail in the previous interval [cm]	`hail_<interval>:cm`	`hail_6h:cm`
Instantaneous temperature AGL	`t_<level>:<unit>`	`t_1000hPa:K`
Frost depth [cm]	`frost_depth:cm`	`frost_depth:cm`
Chance for soil frost occurrence [%]	`soil_frost:p`	`soil_frost:p`
Soil moisture deficit - a measure for droughts - deviation from long year average [mm]	`soil_moisture_deficit:mm`	`soil_moisture_deficit:mm`
Soil moisture index at a certain depth [cm]	`soil_moisture_index_<depth>:idx`	`soil_moisture_index_-15cm:idx`
Evapotranspiration of previous interval [mm]	`evapotranspiration_<interval>:mm`	`evapotranspiration_1h:mm`
Accumulated growing degree days [gdd]	`growing_degree_days_accumulated:gdd`	`growing_degree_days_accumulated:gdd`
Sum of grass land temperature [°C]	`grass_land_temperature_sum:<unit>`	`grass_land_temperature_sum:C`
Leaf wetness index	`leaf_wetness:idx`	`leaf_wetness:idx`
Phytophthora negative prognosis (index for safety measures against potato blight)	`phytophthora_negative:idx`	`phytophthora_negative:idx`
Most similar year [y]	`most_similar_year:y`	`most_similar_year:y`

For a complete list, see Agricultural Parameters.

How it works

Supported JSON parameters	Default value	Min	Max	Examples
`time`	`"2020-01-01T00:00:00+00:00/2021-12-31T23:59:59+00:00"`	1979	2100	`"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_series`	`null`	1979	2100	`"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_interval`	`3`	1	-	`"time_interval": 6`
`bbox`/`intersects`	`null`	0.01 km²	n.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.