{
 "culture": "en-US",
 "name": "RUWRF_3km_Avg_WindSpeed_ms",
 "guid": "7D40161C-B228-449E-B46D-D341E33D6251",
 "catalogPath": "",
 "snippet": "These data represent RUWRF average monthly wind speed (m/s) at 10 meter and 160 meter heights above surface (2019,20,21,22). Please refer to the metadata documentation accessible from the MARCO Portal and the service descriptions.",
 "description": "RUWRF 3km Monthly Averaged Wind Speeds<br />\n\nThese layers represent monthly-averaged windspeeds at near-surface (10 meter) and near-hub height for a 15 MW wind turbine (160 meter) based on hourly model output using the best time series dataset (model hours 01-24) from December 2018 through November 2022. The Rutgers University Center for Ocean Observing Leadership ran a daily real-time version of the Weather Research and Forecasting model (RUWRF v. 4.1) from December 2018 through March 2023. This model ran a parent nest at 9km resolution out to 120 hours and a child nest at 3km resolution out to 48 hours. It ran daily following the availability of the 00Z cycle of the Global Forecast System (GFS), and utilized the cold-water-preserving SST composite as the ocean surface boundary condition. \n<br />\nThe RUWRF version 4.1 3km dataset can be accessed here: <a href='https://tds.marine.rutgers.edu/thredds/catalog/cool/ruwrf/wrf_4_1_3km_processed/catalog.html'>https://tds.marine.rutgers.edu/thredds/catalog/cool/ruwrf/wrf_4_1_3km_processed/catalog.html<\/a> .<br />\n\nSource: Rutgers Center for Ocean Observing Leadership (RUCOOL) <br /><br />\n\n\n\nRUWRF 3km Seasonally Averaged Wind Speeds<br />\n\nThese layers represent seasonal average wind speeds at near-surface (10 meter) and near-hub height for a 15 MW wind turbine (160 meter) based on hourly model output using the best time series dataset (model hours 01-24) from December 2018 through November 2022. The Rutgers University Center for Ocean Observing Leadership ran a daily real-time version of the Weather Research and Forecasting model (RUWRF v. 4.1) from December 2018 through March 2023. This model ran a parent nest at 9km resolution out to 120 hours and a child nest at 3km resolution out to 48 hours. It ran daily following the availability of the 00Z cycle of the Global Forecast System (GFS), and utilized the cold-water-preserving SST composite as the ocean surface boundary condition. \n<br />\nThe RUWRF version 4.1 3km dataset can be accessed here: <a href='https://tds.marine.rutgers.edu/thredds/catalog/cool/ruwrf/wrf_4_1_3km_processed/catalog.html'>https://tds.marine.rutgers.edu/thredds/catalog/cool/ruwrf/wrf_4_1_3km_processed/catalog.html<\/a> .<br />\n\nSource: Rutgers Center for Ocean Observing Leadership (RUCOOL) <br /><br />\n\n\n\nContact Information: <br />\nMichael Crowley <br />\nTechnical Director, RUCOOL & MARACOOS <br />\nCenter for Ocean Observing Leadership, Rutgers University <br />\n71 Dudley Road, New Brunswick, NJ 08901 <br />\nPhone: 848-932-3287 <br />\nEmail: offshorewind@marine.rutgers.edu <br />\n\nThis web service was published with the intent for visualization on the MARCO Portal. For more information, please contact the MARCO Portal and/or the contact in the metadata documentation.",
 "summary": "These data represent RUWRF average monthly wind speed (m/s) at 10 meter and 160 meter heights above surface (2019,20,21,22). Please refer to the metadata documentation accessible from the MARCO Portal and the service descriptions.",
 "title": "RUWRF_3km_Avg_WindSpeed_ms",
 "tags": [
  "RUWRF",
  "average wind speeds"
 ],
 "type": "Map Service",
 "typeKeywords": [
  "Data",
  "Service",
  "Map Service",
  "ArcGIS Server"
 ],
 "thumbnail": "thumbnail/thumbnail.png",
 "url": "",
 "extent": [
  [
   -80.7006082093738,
   34.1648239683305
  ],
  [
   -68.4145873219851,
   43.3005830897059
  ]
 ],
 "minScale": 0,
 "maxScale": 1.7976931348623157E308,
 "spatialReference": "WGS_1984_Web_Mercator_Auxiliary_Sphere",
 "accessInformation": "RU-WRF model runs are performed on the Amarel Cluster at the Rutgers University Office of Advanced Research Computing, with additional analysis and processing performed on machines at RUCOOL.",
 "licenseInfo": ""
}