Yr and the Benefits of Open and Collaborative Numerical Weather Prediction

Yr, a collaboration between the Norwegian Meteorological Institute and NRK (The Norwegian Broadcasting Company), has advanced the dissemination of open weather information. Its impact since the start in 2007 is measurable: It is the worlds 5th largest online weather service (largest outside USA); Peek value of about 9.5 million unique users per week; On the order of 100 million requests per day of weather data; Increased objective forecast skill; In Norway, Yr is synonymous to weather. A novelty is its point specific API. The short-term forecasts are updated 4 times per day from the regional numerical weather model AROME-MetCoOp run in parallel on distributed high-performance computing facilities. This operational collaboration between Swedish and Norwegian (and recently Finland) national meteorological institutes is probably the first of its kind in the world. The current configuration is an ensemble of 10 almost identical forecasts generating large amounts of data to quantify the forecast uncertainty. The forecast data are then post-processed both in terms of correcting for local sources of error and product generation. Outside Norway the forecasts are based on the ECMWF model. Good user-interfaces and feedback have been essential for advancing the forecast quality, data and products. The (almost) complete data set (real-time and archive) is made available on which is built for an interoperable, distributed and metadata governed data distribution. It gives the opportunity for direct data streams into user-systems. Yr has increased the effectiveness and automation of the weather service and is an example of modernization of the public sector in Norway. This again has increased the collaboration with various industries in different research projects, all supporting the development of the production chain for weather forecasting. Future opportunities lies in combining the growing amount of user generated weather observations and information with the numerical weather models for mutual benefit between the national weather services and the industry.

Jørn Kristiansen


Thursday, Jun 1

Session time:
09:00 - 10:30