The Latest Science of Seasonal Climate Forecasting
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1 The Latest Science of Seasonal Climate Forecasting Emily Wallace Met Office 7 th June 2018 Research and Innovation Program under Grant Agreement
2 Background: - Why are they useful? - What do we mean by seasonal climate forecasting? - How is it possible? - How do we know if they are any good? - What do existing long-range forecasts look like for end-users? - How are they used? - What else could be done? How will SECLI-FIRM use the latest science of seasonal climate forecasting Research and Innovation Program under
3 Background Research and Innovation Program under Grant Agreement
4 If your business can use historical weather data to make better decisions, make decisions several weeks or months ahead, and hedge decisions, or adjust them as time evolves seasonal climate forecasts could increase confidence, reduce your costs, reduce your risk Research and Innovation Program under
5 Seasonal 1 month 6 months ahead At least 1 month at a time Properties of weather over an extended period: e.g. average summer temperature, number of windy days in autumn climate Description of likelihood of climate outcome (probabilistic) forecasting Research and Innovation Program under
6 chaos Relevance of initial conditions: Predictability Atmosphere days Crown copyright Met Office Research and Innovation Program under
7 E.g. Sea surface temperatures soil moisture tropical precipitation sea ice Predictable influences chaos Relevance of initial conditions: Predictability Ocean Sea ice Land Several influences can act at the same time! months Crown copyright Met Office Research and Innovation Program under
8 1) Estimate initial estate of earth system, 2) feed it into a model and then, 3) run the model forward in time Compared to short-range forecasting: a) More complex model (ocean, landsurface, sea-ice) b) More components to initialize c) Need to run the model for longer Crown copyright Met Office Research and Innovation Program under
9 How do we know it s any good? - Skill assessment Scaife et al, 2014 Research and Innovation Program under
10 How do we know it s any good? - Value assessment! Lower cost ($) Departure date Higher cost ($$$) Correct identification of calm weather windows can save many thousands of dollars per day in unplanned downtime, allowing large savings if decisions are made as early as possible Steele et al. (2017), OTC, pp. 1-8; Steele et al. (2018), OTC, pp. 1-8; Research and Innovation Program under
11 Event forecast Action taken No event forecast No action taken Event observed Hit COST + REDUCED LOSS Miss LOSS No event observed False alarm COST Correct rejection Steele et al. (2017), OTC, pp. 1-8; Steele et al. (2018), OTC, pp. 1-8; Alessandri et al., 2016 Under Revision Research and Innovation Program under
12 Tailored industry focussed Generic meteorological Research and Innovation Program under
13 How will SECLI-FIRM use latest science of seasonal climate forecasting Research and Innovation Program under Grant Agreement
14 Work package 2: FORECASTS PROCESSING Grand Multi-model ensemble Optimization of climate prediction performance Research and Innovation Program under
15 FORECASTS PROCESSING UNSEEN Research and Innovation Program under
16 Questions and answers Research and Innovation Program under
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