Cookies?
Library Header Image
LSE Research Online LSE Library Services

Forecasting wave height probabilities with numerical weather prediction models

Roulston, Mark S, Ellepola, Jerome, von Hardenberg, Jost and Smith, Leonard A. (2005) Forecasting wave height probabilities with numerical weather prediction models. Ocean Engineering, 32 (14-15). pp. 1841-1863. ISSN 0029-8018

Full text not available from this repository.
Identification Number: 10.1016/j.oceaneng.2004.11.012

Abstract

Operational weather forecasts now allow two week probabilistic forecasts of wave height. This paper discusses methods for generating such forecasts from numerical model output from the European Centre for Medium Range Weather Forecasting Ensemble Prediction System. The ECMWF system produces Monte Carlo style forecasts of wave statistics out to a lead time of 10 days. This ensemble of forecasts is designed to reflect uncertainty in current global weather conditions. In this paper a method for post-processing the ensemble forecasts of wave statistics is described and demonstrated using the significant wave height forecasts for four locations of interest to the offshore industry. The post-processing results in ensemble forecasts which have improved reliability, and which are better predictors of the expected error in the forecast.

Item Type: Article
Official URL: http://www.elsevier.com/locate/oceaneng
Additional Information: © 2005 Elsevier B V
Divisions: Statistics
Centre for Analysis of Time Series
Subjects: T Technology > TC Hydraulic engineering. Ocean engineering
G Geography. Anthropology. Recreation > GE Environmental Sciences
G Geography. Anthropology. Recreation > GC Oceanography
Q Science > QC Physics
Date Deposited: 18 Sep 2008 09:39
Last Modified: 24 Jan 2024 02:45
URI: http://eprints.lse.ac.uk/id/eprint/16926

Actions (login required)

View Item View Item