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contributor authorBell, Ray
contributor authorKirtman, Ben
date accessioned2019-09-22T09:02:50Z
date available2019-09-22T09:02:50Z
date copyright10/18/2018 12:00:00 AM
date issued2018
identifier otherWAF-D-18-0099.1.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4262478
description abstractThis study assesses the skill of multimodel forecasts of 10-m wind speed, significant wave height, and mean wave period in the North Atlantic for the winter months. The 10-m winds from four North American multimodel ensemble models and three European Multimodel Seasonal-to-Interannual Prediction project (EUROSIP) models are used to force WAVEWATCH III experiments. Ten ensembles are used for each model. All three variables can be predicted using December initial conditions. The spatial maps of rank probability skill score are explained by the impact of the North Atlantic Oscillation (NAO) on the large-scale wind?wave relationship. Two winter case studies are investigated to understand the relationship between large-scale environmental conditions such as sea surface temperature, geopotential height at 500 hPa, and zonal wind at 200 hPa to the NAO and the wind?wave climate. The very strong negative NAO in 2008/09 was not well forecast by any of the ensembles while most models correctly predicted the sign of the event. This led to a poor forecast of the surface wind and waves. A Monte Carlo model combination analysis is applied to understand how many models are needed for a skillful multimodel forecast. While the grand multimodel ensemble provides robust skill, in some cases skill improves once some models are not included.
publisherAmerican Meteorological Society
titleSeasonal Forecasting of Wind and Waves in the North Atlantic Using a Grand Multimodel Ensemble
typeJournal Paper
journal volume34
journal issue1
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-18-0099.1
journal fristpage31
journal lastpage59
treeWeather and Forecasting:;2018:;volume 034:;issue 001
contenttypeFulltext


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