PORTO @ 
Archivio Istituzionale della Ricerca
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishOperational 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. (c) 2005 Elsevier Ltd. All rights reserved.
Forecasting wave height probabilities with numerical weather prediction models / Roulston, MS; Ellepola, J; von Hardenberg, J; Smith, LA. - In: OCEAN ENGINEERING. - ISSN 0029-8018. - 32:14-15(2005), pp. 1841-1863.
| Titolo: | Forecasting wave height probabilities with numerical weather prediction models |
| Autori: | |
| Data di pubblicazione: | 2005 |
| Rivista: | |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1016/j.oceaneng.2004.11.012 |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| 2005Forecasting1-s2.0-S0029801805000582-main.pdf | 2a Post-print versione editoriale / Version of Record | Non Pubblico - Accesso privato/ristretto | Administrator Richiedi una copia |
http://hdl.handle.net/11583/2814842
Copyright © 2020