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Evaluating the accuracy and uncertainty of atmospheric and wave model hindcasts during severe events using model ensembles
- Source :
- Ocean Dynamics. 71:217-235
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- 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.
- Subjects :
- Ground truth
010504 meteorology & atmospheric sciences
Meteorology
Eye
02 engineering and technology
Atmospheric model
021001 nanoscience & nanotechnology
Oceanography
01 natural sciences
Wind speed
Wave model
Hurricane Weather Research and Forecasting model
Environmental science
Hindcast
0210 nano-technology
Physics::Atmospheric and Oceanic Physics
Uncertainty analysis
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 16167228 and 16167341
- Volume :
- 71
- Database :
- OpenAIRE
- Journal :
- Ocean Dynamics
- Accession number :
- edsair.doi...........73351ba8bdb5d92f82baaf220e2a6af8