%0 Journal Article %1 Woods201330Year %A Woods, Bryan K. %A Nehrkorn, Thomas %A Henderson, John M. %D 2013 %I American Meteorological Society %J J. Appl. Meteor. Climatol. %K wind climatology energy renewables %R 10.1175/jamc-d-12-0216.1 %T A 30-Year Wind Climatology on the Outer Continental Shelf %U http://dx.doi.org/10.1175/jamc-d-12-0216.1 %X Abstract A 31-year time series of boundary layer winds has been developed for a region on the outer continental shelf. This simulated time series was designed to be suitable to study the wind resources for a potential offshore wind farm. Reanalysis data was used to initialize a series of high-resolution numerical simulations. The limited number of high-resolution numerical simulations was repeatedly sampled using an analog matching criterion based on the reanalysis data to create a 31-year time series with 500 m spatial and 10 min temporal resolution. Validation against buoy data indicates that combining the reanalysis and resampled high-resolution numerical simulations produces a much more accurate wind speed distribution than the reanalysis alone. Both the model physics and downscaled resolution may be contributing to the observed performance gains.

@article{Woods201330Year, abstract = {Abstract A 31-year time series of boundary layer winds has been developed for a region on the outer continental shelf. This simulated time series was designed to be suitable to study the wind resources for a potential offshore wind farm. Reanalysis data was used to initialize a series of high-resolution numerical simulations. The limited number of high-resolution numerical simulations was repeatedly sampled using an analog matching criterion based on the reanalysis data to create a 31-year time series with 500 m spatial and 10 min temporal resolution. Validation against buoy data indicates that combining the reanalysis and resampled high-resolution numerical simulations produces a much more accurate wind speed distribution than the reanalysis alone. Both the model physics and downscaled resolution may be contributing to the observed performance gains.}, added-at = {2018-06-18T21:23:34.000+0200}, author = {Woods, Bryan K. and Nehrkorn, Thomas and Henderson, John M.}, biburl = {https://www.bibsonomy.org/bibtex/298e754b71fd7b8ed538c562ef7faaed9/pbett}, citeulike-article-id = {12335050}, citeulike-linkout-0 = {http://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-12-0216.1}, citeulike-linkout-1 = {http://dx.doi.org/10.1175/jamc-d-12-0216.1}, day = 29, doi = {10.1175/jamc-d-12-0216.1}, interhash = {91f61eadbdf23ef2de5371862933e1dd}, intrahash = {98e754b71fd7b8ed538c562ef7faaed9}, journal = {J. Appl. Meteor. Climatol.}, keywords = {wind climatology energy renewables}, month = apr, posted-at = {2013-05-10 13:45:35}, priority = {2}, publisher = {American Meteorological Society}, timestamp = {2018-06-22T18:33:17.000+0200}, title = {A 30-Year Wind Climatology on the Outer Continental Shelf}, url = {http://dx.doi.org/10.1175/jamc-d-12-0216.1}, year = 2013 }