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Summary: Ocean Networks Canada demo in the Environmental Response Management Application (ERMATM) showcases high resolution winds modelled for the localized areas of British Columbia. The data presented wind velocities in cm/s. Vector size varies with resolution of the image. This tool will showcase near real-time data and wind forecast in the next release.
Description:The model wind velocities presented here have been run by the Environment Canada, Canadian Meteorological Center using the Pan-Canadian High Resolution Deterministic Prediction System (HRDPS) from the non-hydrostatic Global Environmental Multiscale (GEM) model (Côté et al., 1998; Girard et al., 2014) that solves the fully compressible Euler equations. The West domain for this model is currently operational with a resolution of 2.5km at 60˚N. This model follows a multi-grid nested scheme that takes initial and lateral conditions from the Regional Deterministic Prediction System (RDPS) and surface initial conditions for mean surface temperature and root zone soil moisture from the Canadian Land Data Assimilation System (CaLDAS, Carrera et al., 2015). A detailed description of this model and its validation can be found in Milbrandt et al. (2016).
For more information, data and metadata download from this model, please, visit the Environment Canada website: https://weather.gc.ca/grib/grib2_HRDPS_HR_e.html The data showcased here for demonstration purposes is from January 30th, 2017, considering the present time to be 9PM (21:00:00). The different times showcased are as follow: 0 hours = 21:00:00, 3 hour back = 18:00:00, 6 hours back = 15:00:00, 9 hours back = 12:00:00, 12 hours back = 09:00:00, 15 hours back = 06:00:00, 18 hours back = 03:00:00 and 21 hours back = 00:00:00. Ocean Networks Canada (ONC) is an international science facility hosted at the University of Victoria. ONC operates world-leading ocean observatories, innovative cabled infrastructure that supply continuous power and Internet connectivity to a broad suite of subsea instruments from coastal to deep-ocean environments including those used to measure earthquakes and tsunamis. These are complemented by autonomous or online systems on land, ferries, gliders and fixed mooring. For more information about Ocean Networks Canada, see: http://www.oceannetworks.ca. ONC’s global scientists and partners develop forecasting and early warning systems for sea state, tsunamis, earthquakes and storm surge.
References: Carrera, M.L., Bélair, S. and Bilodeau, B., 2015. The Canadian Land Data Assimilation System (CaLDAS): Description and Synthetic Evaluation Study. Journal of Hydrometeorology, 16(3), pp.1293-1314.
Côté, J., Gravel, S., Méthot, A., Patoine, A., Roch, M. and Staniforth, A., 1998. The operational CMC–MRB global environmental multiscale (GEM) model. Part I: Design considerations and formulation. Monthly Weather Review, 126(6), pp.1373-1395.
Girard, C., Plante, A., Desgagné, M., McTaggart-Cowan, R., Côté, J., Charron, M., Gravel, S., Lee, V., Patoine, A., Qaddouri, A. and Roch, M., 2014. Staggered vertical discretization of the Canadian Environmental Multiscale (GEM) model using a coordinate of the log-hydrostatic-pressure type. Monthly Weather Review, 142(3), pp.1183-1196.
Milbrandt, J.A., Bélair, S., Faucher, M., Vallée, M., Carrera, M.L. and Glazer, A., 2016. The Pan-Canadian High Resolution (2.5 km) Deterministic Prediction System. Weather and Forecasting, 31(6), pp.1791-1816.
Credits: The model wind velocities presented here have been run by the Environment Canada, Canadian Meteorological Center using the Pan-Canadian High Resolution Deterministic Prediction System (HRDPS). For more information, data and metadata download from this model, please, visit the Environment Canada website: https://weather.gc.ca/grib/grib2_HRDPS_HR_e.html
This data layer has been provided by Ocean Networks Canada: http://www.oceannetworks.ca. Use limitations: The data and information contained herein are for demonstrations purposes only. ONC does not make any warranty or representation, either express or implied, written or oral, with respect to the data and information contained herein, without limitation to the accuracy, quality, or fitness for any purpose, use or operation.
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