%0 Journal Article %1 Haupt2015Method %A Haupt, Sue E. %A Copeland, Jeffrey %A Cheng, William Y. Y. %A Zhang, Yongxin %A Ammann, Caspar %A Sullivan, Patrick %D 2015 %I American Meteorological Society %J J. Appl. Meteor. Climatol. %K wind climatechange climatology energy solar renewables %R 10.1175/jamc-d-15-0011.1 %T A Method to Assess the Wind and Solar Resource and to Quantify Inter-Annual Variability over the United States under Current and Projected Future Climate %U http://dx.doi.org/10.1175/jamc-d-15-0011.1 %X AbstractThe National Center for Atmospheric Research (NCAR) and the National Renewable Energy Laboratory (NREL) collaborated to develop a method to assess the inter-annual variability of wind and solar power over the Contiguous U.S. (CONUS) under current and projected future climate conditions, for use with NREL?s Regional Energy Deployment System (ReEDS) model. The team leveraged a reanalysis-derived database to estimate the wind and solar power resources and their interannual variability under current climate conditions (1985-2005). Then a projected future climate database for the time range of 2040-2069 was derived based on the North American Regional Climate Change Assessment Program (NARCCAP) regional climate model (RCM) simulations driven by free-running atmosphere-ocean general circulation models (GCMs). In order to compare current and future climate variability, the team developed a baseline by decomposing the current climate reanalysis database into Self Organizing Maps (SOMs) to determine the predominant modes of variability. The current climate patterns found were compared with those of a NARCCAP-based future climate scenario and the CRCM/CCSM combination was chosen to describe the future climate scenario. The future climate scenarios? data were projected onto the Climate Four Dimensional Data Assimilation (CFDDA) reanalysis SOMs. The projected future climate database was then created by resampling the reanalysis based on the frequency of occurrence of the future SOM patterns, adjusting for the differences in magnitude of the wind speed or solar irradiance between the current and future climate conditions.Comparison of the changes in the frequency of occurrence of the SOM modes between current and future climate conditions indicate that the annual mean wind speed and solar irradiance could be expected to change by up to 10\% (increasing or decreasing regionally).

@article{Haupt2015Method, abstract = {AbstractThe National Center for Atmospheric Research (NCAR) and the National Renewable Energy Laboratory (NREL) collaborated to develop a method to assess the inter-annual variability of wind and solar power over the Contiguous U.S. (CONUS) under current and projected future climate conditions, for use with NREL?s Regional Energy Deployment System (ReEDS) model. The team leveraged a reanalysis-derived database to estimate the wind and solar power resources and their interannual variability under current climate conditions (1985-2005). Then a projected future climate database for the time range of 2040-2069 was derived based on the North American Regional Climate Change Assessment Program (NARCCAP) regional climate model (RCM) simulations driven by free-running atmosphere-ocean general circulation models (GCMs). In order to compare current and future climate variability, the team developed a baseline by decomposing the current climate reanalysis database into Self Organizing Maps (SOMs) to determine the predominant modes of variability. The current climate patterns found were compared with those of a NARCCAP-based future climate scenario and the CRCM/CCSM combination was chosen to describe the future climate scenario. The future climate scenarios? data were projected onto the Climate Four Dimensional Data Assimilation (CFDDA) reanalysis SOMs. The projected future climate database was then created by resampling the reanalysis based on the frequency of occurrence of the future SOM patterns, adjusting for the differences in magnitude of the wind speed or solar irradiance between the current and future climate conditions.Comparison of the changes in the frequency of occurrence of the SOM modes between current and future climate conditions indicate that the annual mean wind speed and solar irradiance could be expected to change by up to 10\% (increasing or decreasing regionally).}, added-at = {2018-06-18T21:23:34.000+0200}, author = {Haupt, Sue E. and Copeland, Jeffrey and Cheng, William Y. Y. and Zhang, Yongxin and Ammann, Caspar and Sullivan, Patrick}, biburl = {https://www.bibsonomy.org/bibtex/269cf0e399ab28142deb34b686da195dd/pbett}, citeulike-article-id = {13780913}, citeulike-linkout-0 = {http://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-15-0011.1}, citeulike-linkout-1 = {http://dx.doi.org/10.1175/jamc-d-15-0011.1}, day = 1, doi = {10.1175/jamc-d-15-0011.1}, interhash = {20c223fb7252f9149b869908af3d5d94}, intrahash = {69cf0e399ab28142deb34b686da195dd}, journal = {J. Appl. Meteor. Climatol.}, keywords = {wind climatechange climatology energy solar renewables}, month = oct, posted-at = {2015-10-02 14:13:08}, priority = {2}, publisher = {American Meteorological Society}, timestamp = {2018-06-22T18:35:16.000+0200}, title = {A Method to Assess the Wind and Solar Resource and to Quantify Inter-Annual Variability over the United States under Current and Projected Future Climate}, url = {http://dx.doi.org/10.1175/jamc-d-15-0011.1}, year = 2015 }