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contributor authorSampson, Charles R.
contributor authorHansen, James A.
contributor authorWittmann, Paul A.
contributor authorKnaff, John A.
contributor authorSchumacher, Andrea
date accessioned2017-06-09T17:37:07Z
date available2017-06-09T17:37:07Z
date copyright2016/12/01
date issued2016
identifier issn0882-8156
identifier otherams-88157.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4231906
description abstractevelopment of a 12-ft-seas significant wave height ensemble consistent with the official tropical cyclone intensity, track, and wind structure forecasts and their errors from the operational U.S. tropical cyclone forecast centers is described. To generate the significant wave height ensemble, a Monte Carlo wind speed probability algorithm that produces forecast ensemble members is used. These forecast ensemble members, each created from the official forecast and randomly sampled errors from historical official forecast errors, are then created immediately after the official forecast is completed. Of 1000 forecast ensemble members produced by the wind speed algorithm, 128 of them are selected and processed to produce wind input for an ocean surface wave model. The wave model is then run once per realization to produce 128 possible forecasts of significant wave height. Probabilities of significant wave height at critical thresholds can then be computed from the ocean surface wave model?generated significant wave heights. Evaluations of the ensemble are provided in terms of maximum significant wave height and radius of 12-ft significant wave height?two parameters of interest to both U.S. Navy meteorologists and U.S. Navy operators. Ensemble mean errors and biases of maximum significant wave height and radius of 12-ft significant wave height are found to be similar to those of a deterministic version of the same algorithm. Ensemble spreads capture most verifying maximum and radii of 12-ft significant wave heights.
publisherAmerican Meteorological Society
titleWave Probabilities Consistent with Official Tropical Cyclone Forecasts
typeJournal Paper
journal volume31
journal issue6
journal titleWeather and Forecasting
identifier doi10.1175/WAF-D-15-0093.1
journal fristpage2035
journal lastpage2045
treeWeather and Forecasting:;2016:;volume( 031 ):;issue: 006
contenttypeFulltext


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