CAWCR Wave Hindcast extension June 2013 - July 2014

• Other Authors: CSIRO (hasAssociationWith), CSIRO (isManagedBy)
• Format: Other/Unknown Material
• Language: unknown
• Published: Commonwealth Scientific and Industrial Research Organisation
• Subjects: wave; waves; hindcast; modelling; wave model; CAWCR; COSSPAC; PACCSAP; Natural Hazards; EARTH SCIENCES; PHYSICAL GEOGRAPHY AND ENVIRONMENTAL GEOSCIENCE; Physical Oceanography; OCEANOGRAPHY; Atmospheric Sciences not elsewhere classified; ATMOSPHERIC SCIENCES; Climatology (excl. Climate Change Processes); Pacific; Sea ice
• Online Access: https://researchdata.edu.au/cawcr-wave-hindcast-july-2014/1385714

Ocean wave hindcast, using the WaveWatch III v4.18 wave model forced with NCEP CFSv2 hourly winds and daily sea ice, June 2013 - July 2014. The dataset contains spectral wave output at 3683 points, as well as gridded outputs on a global 0.4 degree (24 arcminute) grid, with nested Australian and western Pacific subgrids of 10 and 4 arcminutes resolution. For further information, see Durrant et al (2014)**. See DAP entry http://dx.doi.org/10.4225/08/523168703DCC5 for 1979-2010 data. and http://dx.doi.org/10.4225/08/52817E2858340 for Jan 2011- May 2013 data. Please note that the licensee/user is required to acknowledge the source of this data on the following terms: 'Source: Bureau of Meteorology and CSIRO © 2013'. Apart from dealings under the Copyright Act 1968, the licensee shall not reproduce (electronically or otherwise), modify or supply (by sale or otherwise) this data without written permission. Please contact CSIRO [e-mail] or BoM [e-mail] for more information. The hindcast was performed using the WAVEWATCH III(TM) model version 4.18. The model was run on a 0.4 x 0.4° global grid with a series of nested grids of 10 arcminutes (~18km) down to 4 arcminutes (~7km) in the Western Pacific and Australian regions. Wave spectra were discretised over 29 frequencies exponentially spaced from 0.038 Hz to 0.5 Hz and 24 directions with a constant 15° directional resolution. All grids were forced with Climate Forecast System Reanalysis v.2 (CFSv2) surface winds at 0.2° spatial and hourly temporal resolution. Hourly sea ice concentrations from the CFSv2 data set were also used to define the ice edge. Data output in NetCDF4 format