
Success of wildfire risk mapping is largely a function of quality meteorological data / forecasting. The OEMC project aims to produce 1km resolution daily climate element (max., min., mean temperature, sea level pressure, total precipitation) maps from 1990 to present. This data set will be valuable for wildfire risk identification modeling.
What is the challenge?
Accurate daily climate data is needed that could be related to the forestry and forest fire risks.
Our solution
Providing high resolution (1 km) daily maps of maximum, minimum, and mean temperature, sea level pressure, and total precipitation.
Who will benefit?
Forest owners and managers.
Scope
Target Partner Organizations
OEMC Leading Partner
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Type of output
High resolution (1 km) daily maps of maximum, minimum, and mean temperature, sea level pressure, and total precipitation.
Technology readiness level
TRL3: Experimental proof of concept.
Location
Europe
Links of interest
- MeteoEurope1km: a high-resolution daily gridded meteorological dataset for Europe for the 1991–2020 period
- Spatio-temporal interpolation of daily temperatures for global land areas at 1 km resolution
- Random Forest Spatial Interpolation
- A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation
- Aleksandar Sekulić: MeteoEurope1km - a high-resolution daily gridded meteorological dataset