
Downscaling is nowadays a mature and complex multi-disciplinary field involving a cascade of different scientific tools to access and process large amounts of heterogeneous data. Therefore, interactive user-friendly tools are necessary in order to ease the downscaling process for end users, thus maximizing the exploitation of the available predictions. The DP has been designed following an end-to-end approach in order to transparently connect data providers and end users. To this aim, Internet and distributed computing technologies have been combined together with statistical tools to directly downscale GCM outputs to the regional or local scale required by impact applications. Thus, users can test and validate online different downscaling methods (regression, neural networks, analogs, weather typing, etc.) using a web browser, not worrying about the details of the techniques used or the data accessed.
The portal was developed in the Ensembles Project (EU 6th FP). It was considered one of the mayor achievements in the Ensembles Project [final report] keeping nowadays an active community of users. One of the consequences has been the use of the DP in other EU 7th framework projects for climate change impact studies in fire (FUME), health (QweCI) and some other proposals. There are also projects for regional and local stakeholder agencies and for crop modelling (FAO contract).
The first version was developed by the Santander Meteorology Group while the current operational version (version 2) is a complete reimplementation developed with the technical assistance of Predictia
The portal has been developed while maintaining ease of use as a priority. The downscaling experiment definition process is divided into three steps:
Once the Predictor > Predictand > Downscaling Method chain of tasks has been completed, the downscaling methods will be ready to downscale the control and future scenarios of any of the available GCMs.