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NREL_HourlyWind_Hawaii_polysandpoints.gdb

Metadata Updated: October 29, 2023

Point Layers: For the Hawaii offshore region, modeled mean wind speed data on an approximately 2-km grid were provided by Vaisala/3TIER, a renewable energy consulting firm. Each 1.2-km BOEM aliquot grid cell was assigned a mean wind speed that corresponds to the nearest 2-km Vaisala grid cell representing the majority of its area. The time-varying component of wind speed was calculated by analyzing the nearest MERRA (http://gmao.gsfc.nasa.gov/merra/) 17-year time-series record. The Weibull parameters were estimated from the MERRA wind speeds by computing the parameters of a Weibull distribution that has the same mean speed and wind energy as the observed MERRA data. These parameters were then scaled to match the Vaisala wind speeds assigned to each 1.2-km aliquot. This process created a long-term, monthly, and hourly (by month and for the whole 17-year period) Weibull representation of the 17-year 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 Hawaii offshore 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 hybrid MERRA/AWST data set delivered to BOEM is a geodatabase consisting of 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 17-year MERRA 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 HST (UTC-10). 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.

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Dates

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
Maintainer
@Id http://datainventory.doi.gov/id/dataset/d1dec9f311a1c3f13b625445e7f9e57f
Identifier 39e746a4-acfc-472e-83a6-c6dc15c311fe
Data Last Modified 2018-02-21
Category geospatial
Public Access Level public
Bureau Code 010:06
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id cd3ad85e-1159-446a-abb1-bdf654dfeb55
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -162.4917,18.0583,-153.925,23.5417
Publisher Hierarchy White House > U.S. Department of the Interior > Bureau of Ocean Energy Management
Source Datajson Identifier True
Source Hash d26b65ea3bf5d2d96821d9930ce43c409f6d28dafaa118d9fbd6d53c8141c4d2
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -162.4917, 18.0583, -162.4917, 23.5417, -153.925, 23.5417, -153.925, 18.0583, -162.4917, 18.0583}

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