biostudies-literatureUnknown20(6)Goulart Pecly JOField observations require adequate metocean data gathering to promote the link between environmental diagnostic and prognostic obtained from modeling techniques. In general, model confidence can be improved by using data which present better quality and by improved parametrizations. This paper discusses and suggests timing routines for data gathering which are enough to describe the hydrodynamic behavior of estuarine and coastal areas. From the environmental diagnostics viewpoint, a sampling procedure is defined to the temporal scales providing data with adequate resolution to describe the natural process without signal aliasing. The proposed sampling procedure was based on the analysis of a data set of tides, currents, waves, water temperature, and meteorological variables observed at seSensors (Basel, Switzerland)E1732https://www.ebi.ac.uk/biostudies/studies/S-EPMC7146103biostudies-literatureSampling Methods for Metocean Data Aiming at Hydrodynamic Modeling of Estuarine and Coastal Areas.PMC7146103Goulart Pecly JOParente Ribeiro CEColonna Rosman PCfalseSampling Methods for Metocean Data Aiming at Hydrodynamic Modeling of Estuarine and Coastal Areas.Field observations require adequate metocean data gathering to promote the link between environmental diagnostic and prognostic obtained from modeling techniques. In general, model confidence can be improved by using data which present better quality and by improved parametrizations. This paper discusses and suggests timing routines for data gathering which are enough to describe the hydrodynamic behavior of estuarine and coastal areas. From the environmental diagnostics viewpoint, a sampling procedure is defined to the temporal scales providing data with adequate resolution to describe the natural process without signal aliasing. The proposed sampling procedure was based on the analysis of a data set of tides, currents, waves, water temperature, and meteorological variables observed at se2020-01-01T00:00:00Z2020 Mar2025-04-22T21:43:54.801Z2020-05-22T17:10:00ZS-EPMC71461033224487610.3390/s20061732