BAMOS Vol 31 Special Issue October 2018 Bulletin Vol 31 Special Issue 01 2018 | Page 22

22 BAMOS Special Issue Figure 1. HIWeather Conceptual Warning Process: Can we bridge the five valleys of death? Can we attribute value to each actor? Bridges represent inter-disciplinary and/or inter-agency communication. Source: Met Office. 1987 and all that! Brian Golding UK Met Office While congratulating AMOS on its 30th birthday, we also remember the 30th anniversary of a weather event that transformed weather warnings in the UK. On the night of 16th October 1987, the worst storm since 1703 hit southern England. Early forecasts were excellent, but as landfall approached, predictions of a more southerly track made rain the primary hazard for England, rather than wind. In the event, several exposed sites in southern England recorded Storm Force 11 winds, resulting in 18 deaths, loss of 15 million trees, thousands of people without power, and broadcast media reduced to skeleton services by loss of transmitting infrastructure. The insurance cost was estimated at £2bn. Subsequent analysis of the storm would lead to identification of the sting jet in mid- latitude depressions. However, more immediately, an inquiry concluded that observations to the southwest of the UK should be enhanced, that enhanced computer power was needed to implement higher resolution Numerical Weather Prediction (NWP) models, and that the warning service itself should be reviewed. At that time, “flash” messages were issued to the public through radio & TV when hazardous weather near urban centres was already happening or about to happen within 3 hours. These warnings had been correctly issued at 01:30, but few people were awake to receive them. There were no generic arrangements for informing emergency managers. The result of the review was the UK National Severe Weather Warning Service which has evolved into the format used today and is widely copied. From the start, it covered the whole country, was available to emergency responders as well as the media, and warnings were issued much earlier. Initially, early warnings, portrayed in map form, were issued when confidence exceeded 60%, and more specific flash messages up to 24 hours ahead, when confidence exceeded 80%. The current service is both probability and impact based, each warning area characterised by a box in the 4x4 probability vs impact matrix, with the headline risk highlighted by colour coding. Early “alerts” at low probability are issued as soon as a threat is identified, often as much as 5 days ahead, especially when the impact would be high. Warnings are communicated in a multi-layered form using colour, risk matrix, map, text and supported by social media, press releases etc. Development of this service has been supported by the spectacular advances in NWP since 1987: the global model grid length has decreased from 150km to 10km and the regional model from 75km to 1.5km; there have been huge advances in satellite observing capability; variational data assimilation and ensemble prediction have been introduced. Together these have resulted in a 4-day forecast today having equivalent accuracy to a 1-day forecast in 1987. Looking ahead, the WMO World Weather Research Programme has launched the multi-disciplinary HIWeather (High Impact Weather) project to raise resilience to weather-related hazards, worldwide, by tackling the main research gaps in all stages of the warning chain. The new science of km-scale NWP has major challenges in characterising and reducing error growth, especially near convective clouds. Such information is required for data assimilation and ensemble prediction as well as in the development of improved parametrisations. While warnings are now impact-based in many countries, automated guidance to support them remains limited. Turning a weather forecast into an impact forecast requires, first, that the hazard be predicted, whether it be flash flood, wildfire, heat wave, snow, etc, and second that the human impact be assessed, requiring knowledge of the exposed population and their vulnerabilities. Finally, the warning must be communicated through media and in formats that enable recipients to make good decisions. In addressing these challenges, HIWeather has developed a concept of the warning process as a value chain in which the expert links are separated by five “valleys of death” over which bridges need to be built. To optimise the process, it is necessary to understand the sensitivity of the eventual decisions made by recipients of the warning to the contribution of each actor in the chain, through appropriate evaluation processes. HIWeather is using this concept as a unifying principle in Forecast Demonstration Projects over the next few years, both to evaluate new capability and to build capacity in developing countries.