B1657
Title: Forecasting sea level rise: raising awareness about SDG14
Authors: Clara Cordeiro - DM-FCT, Universidade do Algarve and CEAUL (Portugal) [presenting]
Manuela Neves - FCiencias.ID, Associacao para a Investigacao e Desenvolvimento de Ciencias (Portugal)
Celestino Coelho - DM- FCT UAlg (Portugal)
Sara V Domingos - UAlg and CEAUL (Portugal)
Abstract: One of the Sustainable Development Goals (SDG) proposed by the United Nations is Goal 14: conserve and sustainably use the oceans, seas and marine resources. One critical aspect of this goal is understanding the sea level rise, one of the consequences of climate change. Anticipating and preparing for these changes is essential for developing strategies to mitigate and adapt to this environmental issue. Therefore, forecasting sea level is an essential component to reaching the objectives outlined in SDG 14. Time series analysis has advanced significantly through computer-intensive procedures, able to model and predict in complex situations. A particularly valuable tool in statistical inference is the bootstrap methodology. In recent years, resampling techniques for dependent data have been applied in studies to achieve point forecasts or forecast intervals. An empirical study employing several forecasting methodologies on time series data of sea level is performed. Subsequently, a comparison is conducted between the forecast obtained through a specific method and those generated through bootstrap approaches.
