Published on March 16, 2016
The AREMI team have worked closely with DNV GL to integrate the wind data onto AREMI. The data supplied here consists of mesoscale wind speed maps at heights of 100 m and 150 m above ground level with a horizontal spatial resolution of approximately 5 km, as well as Wind Atlas Library (LIB) files provided at a horizontal spacing of approximately 25 km (in AREMI April release). The wind atlas data provided was generated using the DNV GL Wind Mapping System (WMS). The WMS is a dynamical downscaling system developed to generate high-resolution mesoscale wind maps for any part of the world. It represents the culmination of two decades of research and development, and combines the following two key technologies to generate ensemble downscaled time series over the area of interest:
• The Weather Research and Forecasting (WRF) model; a state-of-the-art community mesoscale model that has been thoroughly documented in the open-peer reviewed literature.
• A well-validated, published, efficient ensemble downscaling technique based upon the “analog ensemble method”.
Simulations have been carried out for a period of 10 years, using a nested grid configuration with horizontal spatial resolutions of approximately 25 km and 5 km. That yields a database of three-dimensional outputs across the whole of Australia with a temporal resolution of 1 hour and a horizontal spatial resolution of approximately 5 km. The physical process parameterizations are chosen for maximum numerical stability, and for producing the best overall representation of hub height winds within Australia. These choices are based on DNV GL’s extensive validation studies conducted at more than 500 locations on every major continent.