{"version":"1.0","type":"rich","provider_name":"Acast","provider_url":"https://acast.com","height":250,"width":700,"html":"<iframe src=\"https://embed.acast.com/$/5f6b61317a9b7e43e0429e31/6a9fe7d80797014d1ebeb957?\" frameBorder=\"0\" width=\"700\" height=\"250\"></iframe>","title":"Episode 28: Building more effective early warning systems","description":"<p>In this episode of The WeatherPod we've invited David Stephenson of Exeter University into the studio </p><p><br></p><p>David is Professor of Statistical Climatology at Exeter, where he is also Head of Statistical Science and the founder and director of the Exeter Climate Systems research centre.</p><p><br></p><p>David is well known for his work on the application of Bayesian methods to weather and climate prediction and in this discussion we wanted to explore their relevance to helping meet the challenge of building more effective early warning systems in developing countries.</p><p><br></p><p>By this we mean warning systems that are more relevant to the needs of particular types of end user whose activities are disrupted by particular types of weather event.</p><p><br></p><p>Could the application of Bayesian methods - not only by weather affected end-users , but also by national weather services - offer a possible solution ...</p>","author_name":"Global Weather Enterprise Forum"}