The Wind/Flood Risk Correlation Explorer demo displays correlations for wind gust vs precipitation or river flow, as well as correlations between the team’s new Flood Severity and Storm Severity indices.

Turbulent mixing controls the vertical transfer of heat, gases and nutrients in stratified water bodies, shaping their response to environmental forcing. Nevertheless, due to technical limitations, the redistribution of wind-derived energy fuelling turbulence within stratified lakes has only been mapped over short (sub-annual) timescales. Here we present a year-round observational record of energy fluxes in the large Lake Geneva. Contrary to the standing view, we show that the benthic layers are the main locus for turbulent mixing only during winter. Instead, most turbulent mixing occurs in the water-column interior during the stratified summer season, when the co-occurrence of thermal stability and lighter winds weakens near-sediment currents. Since stratified conditions are becoming more prevalent --possibly reducing turbulent fluxes in deep benthic environments--, these results contribute to the ongoing efforts to anticipate the effects of climate change on freshwater quality and ecosystem services in large lakes.

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

Note: This service is deprecated and will be shutdown on June 29th, 2023.  Link to Service Change NoticeMapping of old Web Service to the new Web Service can be found here: https://www.weather.gov/media/notification/ref/On-premise__Mapping_To_AWS_Cloud_GIS%20Services_Links.pdf

The Emissions & Generation Resource Integrated Database (eGRID) is a comprehensive source of data on characteristics of almost all electric power generated in the United States. This data includes capacity; heat input; net generation; associated air emissions of nitrogen oxides, sulfur dioxide, carbon dioxide, methane, nitrous oxide and mercury; emissions rates; resource mix (i.e., generation by fuel type); nonbaseload calculations; line losses (a.k.a., grid gross loss); and many other attributes. The data is provided at the unit and generator levels, as well as, aggregated to the plant, state, balancing authority, eGRID subregion, NERC region, and US levels. As of January 2023, the available editions of eGRID contain data for years 2021, 2020, 2019, 2018, 2016, 2014, 2012, 2010, 2009, 2007, 2005, 2004, and 1996 through 2000.

The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors identify high-wind areas for wind power generation virtually anywhere in the world, and then perform preliminary calculations. The Global Wind Atlas facilitates online queries and provides freely downloadable datasets based on the latest input data and modeling methodologies. Users can additionally download high-resolution maps of the wind resource potential, for use in GIS tools, at the global, country, and first-administrative unit (State/Province/Etc.) level in the Download section. Information on the datasets and methodology used to create the Global Wind Atlas can be found in the Methodology and Datasets sections.

Wind turbine locations in planning applications in The Highland Council area. This data is updated typically twice a year. Wind turbine locations from planning applications in The Highland Council area. Includes the following statuses: Constructed / Constructed-Removed / Under Construction / Approved / In Planning / Refused / Expired / Withdrawn / Scoping and Screening.

Life Cycle Analysis (LCA) is a comprehensive form of analysis that utilizes the principles of Life Cycle Assessment, Life Cycle Cost Analysis, and various other methods to evaluate the environmental, economic, and social attributes of energy systems ranging from the extraction of raw materials from the ground to the use of the energy carrier to perform work (commonly referred to as the “life cycle” of a product). Results are used to inform research at NETL and evaluate energy options from a National perspective.

This datasets contains local weather data collected by Council's maintained weather stations.

The Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) provides data beginning in 1980. It was introduced to replace the original MERRA dataset because of the advances made in the assimilation system that enable assimilation of modern hyperspectral radiance and microwave observations, along with GPS-Radio Occultation datasets. It also uses NASA's ozone profile observations that began in late 2004. Additional advances in both the GEOS model and the GSI assimilation system are included in MERRA-2. Spatial resolution remains about the same (about 50 km in the latitudinal direction) as in MERRA.

Mean average *offshore* wind speeds in metres per second (m/s) at 100m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Mean average *offshore* wind speeds in metres per second (m/s) at 50m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Mean average *offshore* wind speeds in metres per second (m/s) at 75m above sea level. The wind speed data, modelled in 2003, covers the Irish Internal Waters and the Irish Territorial Sea up to 12 nautical miles from the baseline. The Sustainable Energy Authority of Ireland (SEAI) offers the same data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind speed datasets assist wind energy planners, developers and policy makers. __Background on 2003 wind maps__ The 2003 wind-mapping project was completed by ESB International and TrueWind Solutions for SEAI (then SEI). It predicted wind characteristics, at heights of 50m, 75m and 100m, spanning onshore and offshore. (Larger heights of 125m and 150m were later covered in SEAI’s 2013 wind-mapping project.) The resulting GIS maps cover onshore in 200m grids, and offshore in 400m grids. Generally, wind maps extend to 15km offshore, or occasionally 20km. About the 2003 methodology, it iterated a MesoMap system and a faster WindMap model through reducing grid sizes. MesoMap is built on MASS (Mesoscale Atmospheric Simulation System), a numerical weather model that embodied the fundamental physics of the atmosphere. Iterations through the nested grids accounted for local land elevation, land cover and roughness. Final iterations accounted for increased wind shear and reduced near-surface wind speed at less windy sites. The 2003 Wind-mapping Project Report is available [here](https://seaiopendata.blob.core.windows.net/wind/Report_2003_Wind_Atlas.pdf).

Multipurpose Marine Cadastre viewer.

The dissemination Platform for Operational Data describes the data from operational assets that can be obtained from ORE Catapult. It includes various filtering options and details of the measures and data points available.

Department of Communications, Climate Action & Environment commissioned Offshore Renewable Energy Development Plan Strategic Environmental Assessment boundary of full assessment area for tidal, wave and wind assessments and definition of zones into specific strategic renewable sectors.

Department of Communications, Climate Action & Environment commissioned Offshore Renewable Energy Development Plan Strategic Environmental Assessment boundary of full assessment area for tidal, wave and wind assessments

Data repository for measurements from 12 wind masts in Pakistan. Data transmits daily reports for wind speed, wind direction, air pressure, relative humidity and temperature. Please refer to the country project page for additional outputs and reports, including the installation reports: http://esmap.org/node/3058. For access to maps and GIS layers, please visit the Global Wind Atlas: https://globalwindatlas.info/ Please cite as: [Data/information/map obtained from the] “World Bank via ENERGYDATA.info, under a project funded by the Energy Sector Management Assistance Program (ESMAP).

REAP Study for Resilient Economic Agricultural Practices in West Lafayette, Indiana Corn stover is an important livestock feed and will probably be a major source of renewable bioenergy, especially in the U.S. Corn Belt. Overly aggressive removal of stover, however, could lead to greater soil erosion and hurt producer yields in the long-run. Good residue management practices could help prevent erosion of valuable topsoil by wind and water while still providing a revenue source for producers, either as livestock feed or for use in renewable bioenergy. Plant residues also contribute to soil structure, nutrient cycling, and help sustain the soil microbiota. Good residue management could also help control the loss of greenhouse gases from agricultural soils that could add to already increasing levels of atmospheric greenhouse gases contributing to global climate change. Cumulative GHG emissions varied widely across locations, by management, and from year-to-year. Despite this high variability, maximum stover removal averaged across all sites, years, and management resulted in lower total emissions of CO2 (-12 ± 11%) and N2O (-13 ± 28%) compared to no stover removal. Decreases in total CO2 and N2O emissions in stover removal treatments were attributed to decreased availability of stover-derived C and N inputs into soils, as well as possible microclimatic differences. Soils at all sites were CH4 neutral or small CH4 sinks. Exceptions to these trends occurred for all GHGs, highlighting the importance of site-specific management and environmental conditions on GHG fluxes in agricultural soils.

Find data on the constraint payments paid to wind farms under the balancing mechanism to reduce output in the event of constraint

Monthly and annual data on renewable energy, i.e., biomass, geothermal, hydropower, solar, and wind. Also data on alternative transportation fuels, i.e., hydrogen, natural gas, propane, ethanol, and electricity. Data on renewable energy production, consumption, electricity generation, and consumption by end-use sector.

Renewables.ninja allows users to run simulations of the hourly power output from wind and solar power plants located anywhere in the world. The tool helps make scientific-quality weather and energy data available to a wider community.

Seascape effects of wind turbines up to 15km from shoreline are downloadable as GIS shapefiles. SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA volumes are accessible by using the search bar in SEAI's website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf

Seascape effects of wind turbines up to 24km from shoreline are downloadable as GIS shapefiles.SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA volumes are accessible by using the search bar in SEAI's website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf

Seascape effects of wind turbines up to 35km from shoreline are downloadable as GIS shapefiles.SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below).A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All SEA volumes are accessible by using the search bar in SEAI's website (http://www.seai.ie).The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf

Seascape effects of wind turbines up to 5km from shoreline are downloadable as GIS shapefiles. SEAI commissioned a Strategic Environmental Assessment (SEA), completed in 2010, to inform policy-making in the Offshore Renewable Energy Development Plan (OREDP). One set of SEA evaluations was seascape assessments. In 2014 the OREDP was published. (References to both reports below). A zipped collection of shapefiles in spatial reference system WGS 84 (EPSG:4326) is downloadable below. The shapefiles assign category values of seascape effects around the Irish coast (excl. N. Ireland). Appendices in SEA Volume 4 describe these category values in detail (reference below). All volumes of the SEA are accessible by using the search bar in SEAI's website (http://www.seai.ie). The Sustainable Energy Authority of Ireland (SEAI) offers wind-energy data in its Wind Atlas, a digital map of Ireland's wind energy resource (http://gis.seai.ie/wind). SEAI's wind-energy datasets assist wind energy planners, developers and policy makers. __References__ SEA Environmental Report Volume 1: Non-Technical Summary. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-1-Non-Technical-Summary.pdfSEA Environmental Report Volume 4: Appendices. October 2010. https://seaiopendata.blob.core.windows.net/wind/OREDP-SEA-ER-Volume-4-Appendices.pdfOffshore Renewable Energy Development Plan — A Framework for the Sustainable Development of Ireland's Offshore Renewable Energy Resource. February 2014. https://assets.gov.ie/27215/2bc3cb73b6474beebbe810e88f49d1d4.pdf

Beta release of atmospheric data plotted on a map of the USA. Internet Archive URL: https://web.archive.org/web/2016*/https://maps.nrel.gov/swera

Tethys is a knowledge management system that actively gathers, organizes, and disseminates information on the environmental effects of marine and wind energy development.

(Link to Metadata) 2022 update. The statewide wind potential layer used in the Act 174 effort represents three combined wind resource layers: Potential Residential and Small and Large Commercial Areas: 1) "Environ_Wind_poly_LrgCmrcl70m"; 2) "Environ_Wind_poly_SmlCmrcl50m", and 3) "Environ_Wind_poly_Residential30m". The data was further processed to meet the requirements of Act 174 by removing areas with “known constraints” and to identify areas with “possible constraints” as outlined in the “Act 174 Energy Planning Standards”. All constraint layers represent 2022 conditions. Originally created for the 2010 Renewable Energy Atlas of Vermont (REAVT) effort, this layer and the Renewable Energy Atlas are now hosted by the Energy Action Network (eanvt.org).

(Link to Metadata) The Renewable Energy Atlas of Vermont and this dataset were created to assist town energy committees, the Clean Energy Development Fund and other funders, educators, planners, policy-makers, and businesses in making informed decisions about the planning and implementation of renewable energy in their communities - decisions that ultimately lead to successful projects, greater energy security, a cleaner and healthier environment, and a better quality of life across the state. Energy flows through nature into social systems as life support. Human societies depended on renewable, solar powered energy for fuel, shelter, tools, and other items for most of our history. Today, when we flip on a light switch, turn an ignition or a water faucet, or eat a hamburger, we engage complex energy extraction systems that largely rely on non-renewable energy to power our lives. About 90% of Vermont's total energy consumption is currently generated from non-renewable energy sources. This dependency puts Vermont at considerable risk, as the peaking of world oil production, global financial instability, climate change, and other factors impact the state.

(Link to Metadata) The Renewable Energy Atlas of Vermont and this dataset were created to assist town energy committees, the Clean Energy Development Fund and other funders, educators, planners, policy-makers, and businesses in making informed decisions about the planning and implementation of renewable energy in their communities - decisions that ultimately lead to successful projects, greater energy security, a cleaner and healthier environment, and a better quality of life across the state. Energy flows through nature into social systems as life support. Human societies depended on renewable, solar powered energy for fuel, shelter, tools, and other items for most of our history. Today, when we flip on a light switch, turn an ignition or a water faucet, or eat a hamburger, we engage complex energy extraction systems that largely rely on non-renewable energy to power our lives. About 90% of Vermont's total energy consumption is currently generated from non-renewable energy sources. This dependency puts Vermont at considerable risk, as the peaking of world oil production, global financial instability, climate change, and other factors impact the state.

(Link to Metadata) Wind power predictions at 50m are generated by a numerical model that simulates weather conditions over a 15-year period, taking into account geophysical inputs such as elevation, land use, and vegetation. The information was produced by TrueWind Solutions using their Mesomap system. This work was commissioned by the Massachusetts Technology Collaborative, in conjunction with the Connecticut Clean Energy Fund and Northeast Utilities, and the results have been validated by NREL (National Renewable Energy Laboratory).

(Link to Metadata) Wind speed predictions at 30m are generated by a numerical model that simulates weather conditions over a 15-year period, taking into account geophysical inputs such as elevation, land use, and vegetation. The information was produced by TrueWind Solutions using their Mesomap system. This work was commissioned by the Massachusetts Technology Collaborative, in conjunction with the Connecticut Clean Energy Fund and Northeast Utilities, and the results have been validated by NREL (National Renewable Energy Laboratory).

(Link to Metadata) Wind speed predictions at 70m are generated by a numerical model that simulates weather conditions over a 15-year period, taking into account geophysical inputs such as elevation, land use, and vegetation. The information was produced by TrueWind Solutions using their Mesomap system. This work was commissioned by the Massachusetts Technology Collaborative, in conjunction with the Connecticut Clean Energy Fund and Northeast Utilities, and the results have been validated by NREL (National Renewable Energy Laboratory).

(Link to Metadata) The Renewable Energy Atlas of Vermont and this dataset were created to assist town energy committees, the Clean Energy Development Fund and other funders, educators, planners, policy-makers, and businesses in making informed decisions about the planning and implementation of renewable energy in their communities - decisions that ultimately lead to successful projects, greater energy security, a cleaner and healthier environment, and a better quality of life across the state. Energy flows through nature into social systems as life support. Human societies depended on renewable, solar powered energy for fuel, shelter, tools, and other items for most of our history. Today, when we flip on a light switch, turn an ignition or a water faucet, or eat a hamburger, we engage complex energy extraction systems that largely rely on non-renewable energy to power our lives. About 90% of Vermont's total energy consumption is currently generated from non-renewable energy sources. This dependency puts Vermont at considerable risk, as the peaking of world oil production, global financial instability, climate change, and other factors impact the state.

PECC3 was commissioned by GIZ to conduct assessment of long term wind resource at 10 sites under the Program “Wind Measurement for Developing Wind Power Plan and Wind Power Project. The measurement campaign was carried in the time frame 2012-2014. This dataset provides access to the measurement data and to the final reports. __Please consider that the direction data needs to be corrected by applying the direction offset as stated in the installation reports, as the loggers were not programmed with any direction offset!__

This shapefile, which represents an estimate of the annual average wind resource, was generated from original raster data by TrueWind, LLC for the National Renewable Energy Laboratory (NREL). The original cell resolution for the Mid-Atlantic region was 200 meters, and the shapefile resolution is 1/3 degree of latitude by 1/4 degree longitude. The region includes Delaware, Maryland, New Jersey, North Carolina, Pennsylvania, Virginia, West Virginia, and the District of Columbia. Data for the state of West Virginia was clipped from the original shapefile by the WVGIS Technical Center in January 2009.

The EDP Open Data hub shares operational data from EDP assets

NERL (NATS En-Route PLC) employs advanced analysis tools and industry best practices to assess the impact of wind turbines on air traffic service electronic infrastructure. While not exhaustive, maps provide insight into potential interference areas. Consultation zones for 54 AGA communication stations, 55 navigation aids, and 20 radar sites are defined. Line-of-sight assessments are detailed for turbines of varying heights. Conflicting statements may arise from shared radar coverage between NATS and airports. Maps aid applicants in evaluating the impact on NERL infrastructure, excluding airports, which requires consultation with respective airports. The maps are available to download as either Google layers (kmz) files, or shp files, both file types are zipped. The kmz files can easily be visualised using Google Earth, while shp files can be imported into any GIS software package. Please be aware that all images including maps and ESRI shape files are subject to copyright and may not be reproduced or altered in any way without prior permission from NATS.

Building on and updating the 2008 '20% Wind Energy by 2030' report, the Wind Vision report quantifies the economic, environmental, and social benefits of a robust wind energy future and the actions that wind stakeholders can take to make it a reality. Internet Archive URL: https://web.archive.org/web/*/https://energy.gov/eere/wind/maps/wind-vision