Wave Probabilities Consistent with Official Tropical Cyclone ForecastsSource: Weather and Forecasting:;2016:;volume( 031 ):;issue: 006::page 2035Author:Sampson, Charles R.
,
Hansen, James A.
,
Wittmann, Paul A.
,
Knaff, John A.
,
Schumacher, Andrea
DOI: 10.1175/WAF-D-15-0093.1Publisher: American Meteorological Society
Abstract: evelopment 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.
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contributor author | Sampson, Charles R. | |
contributor author | Hansen, James A. | |
contributor author | Wittmann, Paul A. | |
contributor author | Knaff, John A. | |
contributor author | Schumacher, Andrea | |
date accessioned | 2017-06-09T17:37:07Z | |
date available | 2017-06-09T17:37:07Z | |
date copyright | 2016/12/01 | |
date issued | 2016 | |
identifier issn | 0882-8156 | |
identifier other | ams-88157.pdf | |
identifier uri | http://onlinelibrary.yabesh.ir/handle/yetl/4231906 | |
description abstract | evelopment 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. | |
publisher | American Meteorological Society | |
title | Wave Probabilities Consistent with Official Tropical Cyclone Forecasts | |
type | Journal Paper | |
journal volume | 31 | |
journal issue | 6 | |
journal title | Weather and Forecasting | |
identifier doi | 10.1175/WAF-D-15-0093.1 | |
journal fristpage | 2035 | |
journal lastpage | 2045 | |
tree | Weather and Forecasting:;2016:;volume( 031 ):;issue: 006 | |
contenttype | Fulltext |