| A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model - :20582 | Office of Oceanic and Atmospheric Research (OAR)
Stacks Logo
Advanced Search
Select up to three search categories and corresponding keywords using the fields to the right. Refer to the Help section for more detailed instructions.
 
 
Help
Clear All Simple Search
Advanced Search
A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model
  • Published Date:
    2017
  • Source:
    Renewable Energy, 102, 390-405.
Filetype[PDF-9.46 MB]


This document cannot be previewed automatically as it exceeds 5 MB
Please click the thumbnail image to view the document.
A unified high-resolution wind and solar dataset from a rapidly updating numerical weather prediction model
Details:
  • Description:
    A new gridded dataset for wind and solar resource estimation over the contiguous United States has been derived from hourly updated 1-h forecasts from the National Oceanic and Atmospheric Administration High-Resolution Rapid Refresh (HRRR) 3-km model composited over a three-year period (approximately 22 000 forecast model runs). The unique dataset features hourly data assimilation, and provides physically consistent wind and solar estimates for the renewable energy industry. The wind resource dataset shows strong similarity to that previously provided by a Department of Energy-funded study, and it includes estimates in southern Canada and northern Mexico. The solar resource dataset represents an initial step towards application-specific fields such as global horizontal and direct normal irradiance. This combined dataset will continue to be augmented with new forecast data from the advanced HRRR atmospheric/land-surface model. (C) 2016 The Authors. Published by Elsevier Ltd.

  • Document Type:
  • Main Document Checksum:
  • Supporting Files:
    No Additional Files
No Related Documents.
You May Also Like: