Improving WAVEWATCH III hindcasts with machine learning

An application of a machine learning algorithm to determine and describe error patterns within wave model output

(2020) Ashley Ellenson et al.   COASTAL ENGINEERING

Performance evaluation of input-dissipation parameterizations in WAVEWATCH III and comparison of wave hindcast with nested WAVEWATCH III-SWAN in the Indian Seas

(2020) P.A. Umesh et al.   OCEAN ENGINEERING

Improving NCEP’s global-scale wave ensemble averages using neural networks

(2020) Ricardo Martins Campos et al.   OCEAN MODELLING

The ERA5 Global Reanalysis

(2020) Hans Hersbach et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Predicting particle trajectories in oceanic flows using artificial neural networks

(2020) Matthew D. Grossi et al.   OCEAN MODELLING

A novel machine learning algorithm for tracking remotely sensed waves in the surf zone

(2019) C.E. Stringari et al.   COASTAL ENGINEERING

A machine learning framework to forecast wave conditions

(2018) Scott C. James et al.   COASTAL ENGINEERING

Generation and validation of the Chilean Wave Atlas database

(2017) José Beyá et al.   OCEAN MODELLING

Observation-based source terms in the third-generation wave model WAVEWATCH

(2015) Stefan Zieger et al.   OCEAN MODELLING

The NCEP Climate Forecast System Version 2

(2013) Suranjana Saha et al.   JOURNAL OF CLIMATE

Problems in RMSE-based wave model validations

(2013) L. Mentaschi et al.   OCEAN MODELLING

Effects of waves on coastal water dispersion in a small estuarine bay

(2013) M. T. Delpey et al.   JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS

Semiempirical Dissipation Source Functions for Ocean Waves. Part I: Definition, Calibration, and Validation

(2010) Fabrice Ardhuin et al.   JOURNAL OF PHYSICAL OCEANOGRAPHY