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Starting in 2001, researchers from the Unit undertook a retrospective analysis of data from the Great Storm of October 1987 which led to them identifying and understanding a region of extremely strong winds within some storms. They termed these winds a "sting jet". In collaboration with the Met Office, the researchers developed ways to identify sting jets in current and imminent weather and, later, methods to forecast these extremely damaging events up to a several days in advance. These techniques are now used in the UK National Severe Weather Warning Service (NSWWS) and in European storm forecasts. Since the development of this new early warning capability, events have been too few to compile proper statistics; however, there is general agreement amongst the emergency services, local government officials and insurers that the improved warnings of extreme winds have saved lives, minimised disruption and generated considerable cost savings.
Impacts: I) Operational decision making during the 2010 Eyjafjallajökull eruption, including that of the UK Civil Aviation Authority to relax airspace restrictions over Europe. II) Strategic planning for future volcanic hazards, including the 2012 classification by the UK National Risk Register of Civil Emergencies of Icelandic volcanic eruptions as a `highest priority risk'.
Significance and reach: The relaxation of airspace restrictions over Europe affected up to ten million travellers and mitigated on-going airline industry costs of up to £130 million per day.
Underpinned by: Research into the size, frequency and dynamics of Icelandic volcanic eruptions, undertaken at the University of Edinburgh (2006 — January 2013).
Research carried out at the University of Leeds has led to the development of a system for predicting severe air turbulence at airports and elsewhere. The research modelled highly localised `rotor streaming' turbulence which is too small-scale to predict using today's numerical weather prediction models. The Met Office now uses the highly efficient 3DVOM computer prediction model, based on the Leeds research, to improve its operational weather forecasting, especially for providing warnings of `gustiness' to the public and airports and to highlight risks of overturning of high-sided vehicles. In addition, the model is used by forecasters to predict dangerous turbulence at Mount Pleasant Airport in the Falkland Islands, and has led to the prevention of around five flight diversions per year at an estimated cost saving of £1.25 million.
Over one quarter of the estimated 886 million undernourished people in the world live in sub-Saharan Africa and their lives and livelihoods depend critically on rain-fed agriculture. However this region has lacked the equipment and the infrastructure to monitor rainfall. Over the past 20 years, the Unit's TAMSAT (Tropical Applications of Meteorology using SATellite Data and Ground-Based Observations) research group has developed a reliable and robust means for monitoring rainfall, appropriate for use in Africa. In addition, the Unit pioneered the use of such data to predict crop yields over large areas. TAMSAT data and methods are now used in food security (to anticipate drought and predict crop and livestock yields); in health planning (to predict outbreaks of rain-promoted diseases such as malaria); in aid (to guide the allocation and distribution of relief food and water); and in economic planning (to plan mitigation activities and investment in infrastructure). The Unit's programme of development and validation has extended the method to all of Africa, at all times of year. Our work with national meteorological services in Africa has helped them to build their own capabilities and to both contribute to TAMSAT and exploit it. The data provided by TAMSAT has had major impact in increasing the resilience of African populations to weather and climate, saving and improving the quality of lives, and strengthening economies in developing nations.
Research within the Unit was used to create the "TRACK" storm-tracking and analysis software package, which is used to automatically identify storms from both observed and simulated weather data. The software has been used in academic research to improve understanding of how storms develop and how they may change over time, but TRACK has also found widespread applications outside academia. It has been used to quantify errors in current operational weather forecasts, enabling users to produce more accurate storm forecasts better tailored to their needs. It has been used to develop catalogues of historical storms used in the insurance industry for risk assessment. TRACK has also been used to evaluate the performance of climate models and inform their development and improvement.
Technology developed at UoM on clouds and aerosols proved vital in deriving ash mass concentrations during the 2010 eruption of the Iceland volcano, verifying the Met Office model that was defining the airspace exclusion zone and predict ash loadings for the Civil Aviation Authority. The shutdown of airspace cost the airline industry worldwide an estimated $1.7bn, reaching $400m per day on April 19th. Reassurance provided by our verification allowed lifting of flight restrictions which had the immediate effect of re-opening airspace, relieving the impact on hundreds of thousands of people globally, leading to an estimated global saving to the industry of $10bn The approach has resulted in new long term airborne response capability at the Met Office.
Particulate Matter is now recognised as the air pollutant with the greatest public health impact, estimated to cost up to £8.5-20.2 billion per annum (in 2005).Roy Harrison has engaged closely with UK policy-makers for decades. This impact case study focuses specifically on the take-up of PM mass-closure techniques developed by Harrison's group into a UK policy-making tool called Pollution Climate Mapping (PCM). Work by the Harrison group forms the basis of the component dealing with airborne particles in the PCM model used by Defra. The work described in this case study has economic impact in the form of costs avoided by the UK national, devolved and local governments (reallocation of public budgets away from expensive air pollution monitoring and avoidance of EU financial penalties), public policy impact in the form of cost-effective delivery of air pollution mapping, and environmental impact in the form of traceable inclusion of research in government policies for air quality improvement.
Research by Professor John Thuburn and his group at the University of Exeter has made several key contributions to the formulation and development of ENDGame, the new dynamical core of the Met Office weather and climate prediction model. ENDGame has been shown to deliver improved accuracy and better computational performance at high processor counts compared to the current operational dynamical core, directly impacting the technological tools available to the Met Office. These improvements will benefit users when ENDGame becomes operational in early 2014: the economic value to the UK of the weather forecasts produced by the Met Office has been estimated to be in excess of £600M pa, while climate change projections inform policy decisions on mitigation and adaptation with huge economic implications.
The 2010 Eyjafjallajökull and 2011 Grímsvötn eruptions in Iceland were stark reminders that global society is increasingly vulnerable to volcanic hazards. Research at the University of Leeds has shown that volcanic gases and airborne particles could be a significant health hazard to humans — potentially more fatal than seasonal `flu. Leeds scientists used computer models to demonstrate that a long-lasting, gas-rich eruption in Iceland could degrade air quality and lead to well over 100,000 deaths across Europe. In January 2012, the number of potential fatalities was used as evidence by the UK government for the decision to add large-magnitude effusive Icelandic eruptions to the UK National Risk Register of Civil Emergencies as a high priority risk with potentially widespread effects on health, agriculture and transport. Leeds researchers continue to advise the UK government on the mitigation of potential volcanic hazards through the Civil Contingencies Secretariat.
Researchers at the University of Reading have developed and implemented ground and satellite-based techniques that improve the monitoring of impending volcanic eruptions and their aftermath. Our systems have been mainly used in collaboration with the Montserrat Volcano Observatory (MVO) and the local government civil protection committee on Montserrat. In July 2008 the early rescinding of a precautionary evacuation was made possible by these techniques, thereby minimising disruption and lost economic revenue. The deployment of a permanent, operational ground-based instrument on Montserrat provides a capability that will reassure inhabitants and the island's commercial sector of future timely warnings, thereby enhancing their quality of life and allowing companies to return to the island.