Details

Autor(en) / Beteiligte

• Abdolali, Ali
• van der Westhuysen, Andre
• Ma, Zaizhong
• Mehra, Avichal
• Roland, Aron
• Moghimi, Saeed

Titel

Evaluating the accuracy and uncertainty of atmospheric and wave model hindcasts during severe events using model ensembles

Ist Teil von

• Ocean dynamics, 2021-02, Vol.71 (2), p.217-235

Ort / Verlag

Berlin/Heidelberg: Springer Berlin Heidelberg

Erscheinungsjahr

2021

Link zum Volltext

Quelle

Springer Nature - Complete Springer Journals

Beschreibungen/Notizen

• Various uncertainties exist in a hindcast due to the inabilities of numerical models to resolve all the complicated atmosphere-sea interactions, and the lack of certain ground truth observations. Here, a comprehensive analysis of an atmospheric model performance in hindcast mode (Hurricane Weather and Research Forecasting model—HWRF) and its 40 ensembles during severe events is conducted, evaluating the model accuracy and uncertainty for hurricane track parameters, and wind speed collected along satellite altimeter tracks and at stationary source point observations. Subsequently, the downstream spectral wave model WAVEWATCH III is forced by two sets of wind field data, each includes 40 members. The first ones are randomly extracted from original HWRF simulations and the second ones are based on spread of best track parameters. The atmospheric model spread and wave model error along satellite altimeters tracks and at stationary source point observations are estimated. The study on Hurricane Irma reveals that wind and wave observations during this extreme event are within ensemble spreads. While both Models have wide spreads over areas with landmass, maximum uncertainty in the atmospheric model is at hurricane eye in contrast to the wave model.