Daily maximum storm surge levels dataset

We used the Data Unification and Altimeter Combination System (DUACS) 2014 merged data and dynamic atmospheric correction (DAC) data products (it is produced by the CLS Space Oceanography Division using the Legos’ MOG2D model) released by the Archiving Validation and Interpolation of Satellite Oceanographic Data Center (AVISO) (http://odes.altimetry.cnes.fr/), sea level pressure and wind data from the European Centre for Medium-range Weather Forecasts (ECMWF) (https://www.ecmwf.int/) were used to develop a multivariate statistical model (reconstructing a statistical relationship is to estimate the daily maximum storm surge levels (predictand) based on the local atmospheric forcing field conditions (predictor)) by using the Multivariate Empirical Orthogonal Function (MV-EOF) [Cid et al., 2017; Cid et al., 2018; Ji et al., 2020]. Then, the Geographical Differential Analysis (GDA) calibration method was used to correct the daily maximum storm surge levels recorded by tide gauge and hydrometric station observations. Finally, a high spatial resolution (0.25°) and a high-precision daily maximum storm surge dataset for a long time series (1958-2016) was generated [Cheema and Bastiaanssen, 2012].