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Metadata Updated: October 29, 2023

Point layers: For the Atlantic coastal region, seven years of modeled mean wind speed data on an approximately 2-km grid were obtained from NRELâs WIND Toolkit ( Each 1.2-km BOEM aliquot grid cell was assigned a mean wind speed that corresponds to the nearest 2-km WIND Toolkit grid cell representing the majority of its area. The Weibull parameters were estimated by computing the parameters of a Weibull distribution that has the same mean speed and wind energy as the WIND Toolkit data. This process created a long-term, monthly, and hourly (by month and for the whole 7-year period) Weibull representation of the wind speed for each aliquot. The resulting dataset is intended to provide broad estimates of wind speed variation for the purposes of identifying possible good wind energy sites. It is not intended to provide estimates of possible energy production for the purpose of making offshore wind project investment or financing decisions in specific locations.Explanation of Attributes: Results in the geodatabase are reported on the existing 1.2 km x 1.2 km aliquot grid defined by BOEM for the Pacific coastal region. Wind speed statistics are reported at the center point of each aliquot grid, but represent the mean values over the entire area of each grid cell. The data set delivered to BOEM is a geodatabase consisting of 14 layers. There is one layer for the long-term statistics, one layer for each month, and one polygon layer of aliquots covered by the data. The long-term shapefile includes mean wind speed and Weibull parameters to capture the long-term wind speed distribution of the entire 7-year time series. Each monthly shapefile contains mean wind speed and Weibull parameters for that month overall and for each hour of the day within that month. All times are in PST (UTC-8).Variables starting with âWSâ are wind speeds in meters per second, those starting with âWKâ are Weibull k parameters (dimensionless), and those starting with âWCâ are Weibull c (scale) parmeters in meters per second. The string âxxxâ (where xxx is a month) in a variable name means that the parameter has been computed using only values from month âxxxâ (e.g., âJUN_WSâ is the average wind speed in June). The string âHxxâ (where xx is a number from 0 to 23) in a variable name means that the parameter has been computed using only values from hour âxxâ (e.g., âJUN_H16_WSâ is the average wind speed at 1600 (or 4:00 PM) in June). Polygon Layers - Polygons were created by creating a raster grid of the point files using the closest approximate x,y distance for a BOEM aliquot block of 0.0175 degrees, reclassifying the raster into wind classes and generating a polygon file from the reclassified raster.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher Bureau of Ocean Energy Management
Identifier 2ffe1685-0de3-4711-ac25-fda7aec57e83
Data Last Modified 2018-02-21
Category geospatial
Public Access Level public
Bureau Code 010:06
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 8a4d7324-c9f7-43ac-9277-e8b6355062c6
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -82.999847584,23.817927551,-66.910841773,44.769031898
Publisher Hierarchy White House > U.S. Department of the Interior > Bureau of Ocean Energy Management
Source Datajson Identifier True
Source Hash 3bf74796bf7a81c9cb8231acfde80dd4d4767c2f6e35cd53d9ad33bc3aa6ddb2
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -82.999847584, 23.817927551, -82.999847584, 44.769031898, -66.910841773, 44.769031898, -66.910841773, 23.817927551, -82.999847584, 23.817927551}

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