My attention was recently drawn to this project examining the communication of complex climatological data. Under the umbrella of the European Provision Of Regional Impacts Assessments on Seasonal and Decadal Timescales, and FP7 project, project Ukko visualises the probabilistic forecast of mean seasonal wind speed, compared to climatology. The user can get an overview of whether wind speed is expected to be higher or lower than average (mean from 1981-2014) with brighter markers indicated a region with historically higher skill. Clicking on a specific region reveals more detailed forecast information, including historic measurements and the forecasts from individual ensemble members.
I really like this tool. It successfully presents a lot of complex information in a clear way, one you've got your head around the key or watched the video below. It has inspired me to think about how I present probabilistic information and I hope to see more innovation in this area in the not-too-distant future. It's a shame, however, that the skill is insufficient to offer forecasts for most of Europe and the North Sea where there is significant wind power capacity, though that is of course and issue with the forecast, not the visualisation.
Ukko is the result of a collaboration between the Barcelona Supercomputing Center and FutureEverthing using ECMWF seasonal forecasts, and well worth a play with!
I really like this tool. It successfully presents a lot of complex information in a clear way, one you've got your head around the key or watched the video below. It has inspired me to think about how I present probabilistic information and I hope to see more innovation in this area in the not-too-distant future. It's a shame, however, that the skill is insufficient to offer forecasts for most of Europe and the North Sea where there is significant wind power capacity, though that is of course and issue with the forecast, not the visualisation.
Ukko is the result of a collaboration between the Barcelona Supercomputing Center and FutureEverthing using ECMWF seasonal forecasts, and well worth a play with!
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