Utilising the combined strengths of mesoscale NWP modelling and scatterometer satellite data
This paper describes a technique that combines the strengths of Numerical Weather Prediction (NWP) modelling with the strengths of remote sensing (satellite) scatterometer data. Scatterometer observations are used to determine wind speeds from the satellite orbit. This is a cost-effective way to obtain observed data-albeit from a distance. The great value of this data is that the measurements should be largely unbiased. Unfortunately, the measurements are limited in spatial and temporal resolution. This means that the scatterometer data cannot provide an accurate wind resource assessment by itself. Therefore 3TIER supplements the scatterometer data with NWP modelling. NWP modelling has the great strength of being able to provide information back as far as 50 years ago, thus modelling long-term trends and the effects of climate oscillations for the site of interest. It can also be used to generate a consistent dataset at a regular temporal and spatial resolution. However, the NWP modelling may be subject to biases. Combining the two datasets can produce a fine spatial resolution, fine temporal resolution, long-term data set with significant bias reduction through correcting the NWP data to the remote sensing data.
Offshore Resource Assessment Numerical Weather Prediction Modelling Scatterometer QuikScat
C. W. Potter J. McCaa K. Westrick B. Rogers
3TIER Pacific Rim Pty Ltd GPO Box 528, Hobart, Tas, Australia, 7001 Apps 3TIER Inc. 2001 6th Avenue, Suite 2100, Seattle, WA 98121 3TIER Inc. 2001 6th Avenue, Suite 2100, Seattle, WA 98121 Development - Pacific Rim 3TIER Pacific Rim Pty Ltd
国际会议
北京
英文
20-26
2010-10-13（万方平台首次上网日期，不代表论文的发表时间）