HIWeather aims to gather reviews of end-to-end warning chain case studies to support analysis and evaluation. The aims are outlined in http://hiweather.net/Uploads/keditor/file/20200805/20200805235336_39484.pdf. The proposal is being combined with a related proposal from the WWRP SERA (Societal and Economic Research Applications) working group that will provide an overview and meta-analysis, based on the literature, of how the value chain is applied in different fields.
The Weather Information Value Chain is a process for understanding the end-to-end flow of information and value from weather to community benefit, including: what constitutes "value"; what an end-to-end user-driven value chain looks like; how value is added/subtracted as information flows along the chain; ways to measure value; using the value chain to guide investment. HIWeather held two workshops in 2017, participated in the 2019 AMS Washington Forum discussing the importance of routine measurement of the value of weather services, and published a paper on the value chain in the Global Assessment Report on Disaster Risk Reduction 2019.
This project will apply the value chain framework to examine case studies of high impact weather events and warning systems linking weather to decision making to discern what works well and where improvements may lead to the greatest benefits.
The activity will generate an easily accessible means for scientists involved in researching, designing and evaluating weather-related warning systems to review relevant previous experience. To achieve this we will catalogue and analyse information from case studies of the performance of warning chains, review the information available about the organisation and performance of warning chains, and perform detailed evaluations of warning chains in selected case studies, noting that catalogued case studies should capture both successes and failures. The collected information will be organised in a database with an intuitive web-based user interface designed to enable warning events and warning systems to be interrogated and compared easily. The database will provide a valuable source of evidence for what constitutes an effective warning system: one that is useful, usable and used; from which to identify and promote best practice in warning for and reporting on high impact weather so as to support the development of improved warning services.
Outcomes from the project will also include a high-level value chain framework tool for decision makers, and guidance and tools for more specific usage according to the value chain applications areas and sectors involved.