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A raster dataset representing multi-year mean (1998-2018) capacity factors (CF) for a solar photovoltaic system based on current technology, for the Conterminous United States. These data are calculated using ½ hourly irradiance values from the National Solar Radiation Database (NSRDB) Sengupta et al. (2018), and the Systems Advisor Model (Blair et al. 2014). Cell values represent the estimated capacity factor (a ratio of net generation to the maximum generation) for photovoltaic energy production for a 1-axis tracking system (technology details found in Maclaurin et al. 2019). The continuous raster were put into 8 quantile bins for interpretation and reporting. For more information and further data, please visit...
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Knowledge of where energy resources occur and where there is existing development or new development potential, in conjunction with model-predicted golden eagle relative nest site density (Dunk et al. 2019), can be used to identify areas with higher or lower potential resource conflict. Depicted on the map is a 16-class raster that displays the spatial overlap of wind resources (4 classes, low to high) and golden eagle relative nest site density (4 classes, lower to higher). This raster displays the intersection of multi-year mean capacity factors (MCF) for wind turbines and the golden eagle relative nest site density within ecoregion raster. We have divided each probability into equal intervals, and then intersected...
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A raster dataset representing the electric conductivity (EC) of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Increasing soil EC is correlated with increasing soil salt content which is referred to as soil salinity. High levels of soil salinity can only be tolerated by salt-tolerant plants, can interfere with the growth of non-salt tolerant plants, and make reclamation or restoration challenging. This dataset was created using the soil electric conductivity 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan (et al. 2018). The average soil EC over the top 15 cm in dS/m was calculated using the trapezoidal rule, and then put into 7...
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A raster dataset representing multi-year mean (2007 to 2013) capacity factors (CF) for a 5.5 MW, 175 meter rotor-diameter, 120 meter hub-height wind turbine (turbine details are from Lopez at al. Forthcoming) for the Conterminous United States. The weather data are modeled using the Weather Research and Forecasting Model run on a 2-km grid over the continental United States at a 5-min resolution (Draxl et al. 2015). Cell values represent the estimated capacity factor (a ratio of net generation to the maximum generation) for wind energy turbine production using the Systems Advisor Model (Blair et al. 2014). The continuous raster were put into 8 quantile bins for interpretation and reporting. For more information...
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Knowledge of where energy resources occur and where there is existing development or new development potential, in conjunction with model-predicted golden eagle relative nest site density (Dunk et al. 2019), can be used to identify areas with higher or lower potential resource conflict. Depicted on the map is a 16-class raster that displays the spatial overlap of solar resources (4 classes, low to high) and golden eagle relative nest site density (4 classes, lower to higher). This raster displays the intersection of multi-year mean capacity factors (MCF) for solar photovoltaic systems and the golden eagle relative nest site density within ecoregion raster. We have divided each probability into equal intervals, and...
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