View In:   ArcGIS JavaScript   ArcGIS Online Map Viewer   ArcGIS Earth   ArcMap   ArcGIS Pro

View Footprint In:   ArcGIS Online Map Viewer

Service Description: The geodatabase was created by computing statistical wind speed parameters for seven years of wind data from NREL’s WIND Toolkit and placing them on a GIS grid that corresponds to the existing BOEM aliquot lease grid for the Pacific coastal region. For the Pacific coastal region, seven years of modeled mean wind speed data on an approximately 2-km grid were obtained from NREL’s WIND Toolkit (http://www.nrel.gov/grid/wind-toolkit.html). 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). Source: National Renewable Energy Laboratory. 15013 Denver West Parkway, Golden, CO 80401. Phone: 303-275-3000. NREL is a national laboratory of the U.S Department of Energy, Office of Energy Efficiency and Renewable Energy. Operated by the Alliance for Sustainable Energy, LLC. Additional Information: Contact George Scott at george.scott@nrel.gov for more information. NREL created wind spead data by 1/16 BOEM Lease Blocks (aliquots) as points. These points are available as a separate data layer. A script was created to classify the points and then create polygons based on the classification breakdowns in order to reduce the file size for web services. Units of speed are in meters per second.

Map Name: US_West_Coast_Monthly_Offshore_Wind_Speed

Legend

All Layers and Tables

Dynamic Legend

Dynamic All Layers

Layers:

• West Coast Wind Speed - Annual Average (0)
• West Coast Wind Speed - Jan Average (1)
• West Coast Wind Speed - Feb Average (2)
• West Coast Wind Speed - Mar Average (3)
• West Coast Wind Speed - Apr Average (4)
• West Coast Wind Speed - May Average (5)
• West Coast Wind Speed - Jun Average (6)
• West Coast Wind Speed - Jul Average (7)
• West Coast Wind Speed - Aug Average (8)
• West Coast Wind Speed - Sep Average (9)
• West Coast Wind Speed - Oct Average (10)
• West Coast Wind Speed - Nov Average (11)
• West Coast Wind Speed - Dec Average (12)

Description: The geodatabase was created by computing statistical wind speed parameters for seven years of wind data from NREL’s WIND Toolkit and placing them on a GIS grid that corresponds to the existing BOEM aliquot lease grid for the Pacific coastal region. For the Pacific coastal region, seven years of modeled mean wind speed data on an approximately 2-km grid were obtained from NREL’s WIND Toolkit (http://www.nrel.gov/grid/wind-toolkit.html). 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). Source: National Renewable Energy Laboratory. 15013 Denver West Parkway, Golden, CO 80401. Phone: 303-275-3000. NREL is a national laboratory of the U.S Department of Energy, Office of Energy Efficiency and Renewable Energy. Operated by the Alliance for Sustainable Energy, LLC. Additional Information: Contact George Scott at george.scott@nrel.gov for more information. NREL created wind spead data by 1/16 BOEM Lease Blocks (aliquots) as points. These points are available as a separate data layer. A script was created to classify the points and then create polygons based on the classification breakdowns in order to reduce the file size for web services. Units of speed are in meters per second.

Copyright Text: BOEM, NREL

Spatial Reference: 102100  (3857)


Single Fused Map Cache: false

Initial Extent:

XMin: -1.6910805729095805E7
YMin: 3243250.534145139
XMax: -1.0390843853260156E7
YMax: 6671528.767137114
Spatial Reference: 102100  (3857)

Full Extent:

XMin: -1.4028184450130465E7
YMin: 3743638.922105449
XMax: -1.3042789448789014E7
YMax: 6193829.66160202
Spatial Reference: 102100  (3857)

Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info:

Title: US West Coast Monthly Offshore Wind Speed Map Server
Author:
Comments: <DIV STYLE="text-align:Left;"><DIV><P><SPAN>The geodatabase was created by computing statistical wind speed parameters for seven years of wind data from NREL’s WIND Toolkit and placing them on a GIS grid that corresponds to the existing BOEM aliquot lease grid for the Pacific coastal region.For the Pacific coastal region, seven years of modeled mean wind speed data on an approximately 2-km grid were obtained from NREL’s WIND Toolkit (http://www.nrel.gov/grid/wind-toolkit.html). 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).Source: National Renewable Energy Laboratory. 15013 Denver West Parkway, Golden, CO 80401. Phone: 303-275-3000. NREL is a national laboratory of the U.S Department of Energy, Office of Energy Efficiency and Renewable Energy. Operated by the Alliance for Sustainable Energy, LLC.Additional Information: Contact George Scott at george.scott@nrel.gov for more information.NREL created wind spead data by 1/16 BOEM Lease Blocks (aliquots) as points. These points are available as a separate data layer. A script was created to classify the points and then create polygons based on the classification breakdowns in order to reduce the file size for web services. Units of speed are in meters per second.</SPAN></P></DIV></DIV>
Subject: The geodatabase was created by computing statistical wind speed parameters for seven years of wind data from NREL’s WIND Toolkit and placing them on a GIS grid that corresponds to the existing BOEM aliquot lease grid for the Pacific coastal region.
Category:
Keywords: NREL,wind,speed,offshore
AntialiasingMode: None
TextAntialiasingMode: Force

Supports Dynamic Layers: true

Resampling: false

MaxRecordCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info   Dynamic Layer

Supported Operations:   Export Map   Identify   QueryLegends   QueryDomains   Find   Return Updates