An atmospheric predictor to estimate the water level at the coast of South Brazil

This repository contains the dataset used in the study "An Atmospheric Predictor to Estimate the Atmospherically Induced Water Level at Coasts with a Shallow Continental Shelf".

Dataset Description:Predictor.mat- The optimal predictor was derived from Sea Level Pressure (SLP) and Sea Level Pressure Gradient (SLPG) fields over the South Atlantic region.- These fields were adjusted to account for the propagation times of waves and surges from their generation areas to a target point on the coast of southern Brazil.- To reduce dimensionality, Principal Component Analysis (PCA) was applied. The predictor is represented as the time series of the Principal Components (PCs) that collectively explain 99% of the dataset's variance.

Predictand.matTime series of:- Runup = Wave runup- SS = storm surge- AWL = Total water level at the coast, resulting from atmospheric forcings (SS + Runup).

More details on the methodology to define predictor and predictand can be found in the pre-print version of the study: https://doi.org/10.22541/essoar.173655501.11664490/v1