Available products and basic product specifications

Available products
Level 1 Level 2 Level 3
Precipitation Crop growth conditions Crop yield forecasts
Global radiation Drought index
Net radiation Climatic moisture index
Actual evapotranspiration Soil moisture index
Potential evapotranspiration
Sensible heat flux
Crops: Maize, sorghum, barley, wheat, rangeland
Change products = difference with the previous year or 5-year average
Basic product specifications
Projection Latitude-Longitude or METEOSAT projections
Spatial resolution 5 km at sub-satellite point
Data type Generic binary files, 8 or 16 bit data
Integration period 10-daily(dekadal), monthly, yearly
Timeliness 2-3 working days
Standard regions North West Africa (NWA), North Middle Africa (NMA), North East Africa (NEA), Middle East Africa (MEA), Southern Africa (SMA, SA), Europe (EUR), West Mediterranean (AS1), East Mediterranean (AS2).

Click here to see map.

Sub-sets Sub-regions as defined by client

The generic binary data products can be imported in almost any GIS and be viewed as spatially continuous maps. Furthermore, they can be used for further processing and analysis. When importing the files in a GIS, you will have to provide the numbers of rows and columns, and the number of bits per pixel. The number of rows and columns depend on the region for which you have requested the products. The number of bits per pixel depends on the product type. To make it easier for the user to process and evaluate the products, we have developed five ‘analysis tools’. Click here for more information.

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Product descriptions

Level 1
Precipitation Spatially continuous maps of precipitation in mm, based on  METEOSAT derived cloud durations and WMO-GTS rain gauge data.
Global radiation Daily averages of direct + diffuse solar radiation at the earth’s surface, based on METEOSAT derived atmospheric transmission and cloudiness, expressed in W/m2.
Net radiation Daily averages of absorbed – emitted solar and terrestrial radiation at the earth’s surface, based on METEOSAT derived surface albedo, surface temperature, air temperature, atmospheric transmission and cloudiness, expressed in W/m2.
Actual
evapotranspiration
The actual loss of water from the surface, due to the combined process of evaporation and transpiration. Values are based on METEOSAT derived surface albedo, surface temperature, air temperature, atmospheric transmission and cloudiness, expressed as total (mm) or average (mm/day).
Potential
evapotranspiration
The rate of evapotranspiration that will occur from a well watered, actively growing, short green crop completely covering the ground surface. Values are based on METEOSAT derived surface albedo, surface temperature, air temperature, atmospheric transmission and cloudiness, expressed as total (mm) or average (mm/day).
Level 2
Climatic moisture index Ratio of yearly rainfall and yearly potential evapotranspiration,

expressed in %.

Soil moisture index Ratio of yearly actual evapotranspiration and yearly potential evapotranspiration, expressed in %.
Drought index,

Growth conditions

Ratio of dekadal or monthly actual evapotranspiration and potential evapotranspiration, expressed in %.
Level 3
Crop yield forecast Dekadal or monthly estimate of end-of-season crop yield as a percentage of the non-water limited crop yield. This product is issued only during the second half of the growing season.

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Prices

Costing elements
Fixed cost per product 100 Euro
Variable costs per product 1 Euro per KiloPixel

Multiplication factors
– Region factor Full region sub-region/country
1 1.5
– Integration factor

 

Dekad Month Year
1 1.5 9
– Product factor

 

Level 1 Level 2 Level 3
1 1.5 3
– Actuality factor

 

Current growing season / year Historic data
1 0.5

Products prices are calculated as follows:

Fixed cost + Variable cost * Nr of KiloPixels * Region factor * Integration factor * Product factor * Actuality factor

Calculation examples for Iberian peninsula:

Frame size = 140*240 pixels
Number of KiloPixels = 33.6

One year of historical monthly precipitation products:

12 * (100 + 33.6 * 1.5 * 1.5 * 1.0 * 0.5 ) = 1654 Euro

One relative crop yield product for current growing season :

100 + 33.6 * 1.5 * 1.0 * 3.0 * 1.0   =   251 Euro