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- W4315574037 abstract "Abstract. A statistical model called the sea level simulator v1.0 is introduced. The model integrates mean sea level change and sea level extremes into a joint probabilistic framework that is useful for coastal spatial planning. Given a user defined planning period, the model can estimate the flood risk as a function of height above the current mean sea level. These flood risk estimates are derived through Monte Carlo simulations of a very large amount of planning periods. The derived flood risk is contingent on user assigned probabilities for future greenhouse gas emission pathways, and the model is thus also useful for quantifying the dependence of flood risk on future emission pathways. The code, written in MatLab, is parallelized and lightweight enough that it can be run on an ordinary PC. The code is easily adaptable to include new locations, new mean sea level projections and similar model developments. The flood risk estimates derived from the simulator are well suited to tackle adaptation and decision problems. Applications for construction of coastal protections and land development in coastal areas have been demonstrated in the past. The paper gives an in-depth technical description of the model. Example simulations from a Swedish nuclear site are also given and the capabilities of the simulator are discussed. The main aim of the paper is to work as a technical reference for the first public release of the sea level simulator." @default.
- W4315574037 created "2023-01-11" @default.
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- W4315574037 date "2023-01-11" @default.
- W4315574037 modified "2023-09-24" @default.
- W4315574037 title "The sea level simulator v1.0: a model for integration of mean sea level change and sea level extremes into a joint probabilistic framework" @default.
- W4315574037 doi "https://doi.org/10.5194/gmd-2022-295" @default.
- W4315574037 hasPublicationYear "2023" @default.
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