SAFERS is going to create an open and integrated platform featuring a forest fire Decision Support System. This platform will use information from different sources: earth observations from Copernicus and GEOSS, fire sensors in forests, topographic data, weather forecasts and even crowdsourced data from social media and other apps that can be used by citizens and first responders to provide situational in-field information.  SAFERS platform will include the following services:
Sub-seasonal deterministic and probabilistic weather forecasts
A research-based processing chain providing the forecastedoccurrence risk of high-impact weather variables relevant for wild/forest fires to the SAFERS platform. Involves statistical post-processing methods utilizing real-time and historical EO data, covering the whole sub-seasonal forecast scale relevant to SAFERS for selected two pilot areas:
1. ECMWF-ENS system (0.2° x 0.2° lat/long grid) T+0h to T+360h;
2. ECMWF Monthly forecasts (0.4° x 0.4° lat/long grid) T+366h to T+1104h, updated twice a week