Source: RSE S.p.A. Website: www.rse-web.it Description: Annual mean wind speed and specific production maps at four levels (25, 50, 75 and 100 m) above ground and sea, with 1 km spatial resolution, are available in a WebGIS for navigation and free download. The maps have been calculated by means of the WINDS model of Genoa University. The onshore maps have been calibrated with more than 200 met stations data, the offshore maps with satellite data and few available direct measurements. Constraints maps can be overlapped. A “Performance Calculation” tool allows the user to perform a technical-economical evaluation of hypothesis of wind farms based on the dataset of the Wind Atlas. Detailed description: http://irena.masdar.ac.ae/docs/OWEMES_Italian_wind_atlas_english_version_paper.pdf Original website: http://atlanteeolico.rse-web.it/viewer.htm Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3034. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Source: RSE S.p.A. Website: www.rse-web.it Description: Annual mean wind speed and specific production maps at four levels (25, 50, 75 and 100 m) above ground and sea, with 1 km spatial resolution, are available in a WebGIS for navigation and free download. The maps have been calculated by means of the WINDS model of Genoa University. The onshore maps have been calibrated with more than 200 met stations data, the offshore maps with satellite data and few available direct measurements. Constraints maps can be overlapped. A “Performance Calculation” tool allows the user to perform a technical-economical evaluation of hypothesis of wind farms based on the dataset of the Wind Atlas. Detailed description: http://irena.masdar.ac.ae/docs/OWEMES_Italian_wind_atlas_english_version_paper.pdf Original website: http://atlanteeolico.rse-web.it/viewer.htm Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3034. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Source: RSE S.p.A. Website: www.rse-web.it Description: Annual mean wind speed and specific production maps at four levels (25, 50, 75 and 100 m) above ground and sea, with 1 km spatial resolution, are available in a WebGIS for navigation and free download. The maps have been calculated by means of the WINDS model of Genoa University. The onshore maps have been calibrated with more than 200 met stations data, the offshore maps with satellite data and few available direct measurements. Constraints maps can be overlapped. A “Performance Calculation” tool allows the user to perform a technical-economical evaluation of hypothesis of wind farms based on the dataset of the Wind Atlas. Detailed description: http://irena.masdar.ac.ae/docs/OWEMES_Italian_wind_atlas_english_version_paper.pdf Original website: http://atlanteeolico.rse-web.it/viewer.htm Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3034. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Source: RSE S.p.A. Website: www.rse-web.it Description: Annual mean wind speed and specific production maps at four levels (25, 50, 75 and 100 m) above ground and sea, with 1 km spatial resolution, are available in a WebGIS for navigation and free download. The maps have been calculated by means of the WINDS model of Genoa University. The onshore maps have been calibrated with more than 200 met stations data, the offshore maps with satellite data and few available direct measurements. Constraints maps can be overlapped. A “Performance Calculation” tool allows the user to perform a technical-economical evaluation of hypothesis of wind farms based on the dataset of the Wind Atlas. Detailed description: http://irena.masdar.ac.ae/docs/OWEMES_Italian_wind_atlas_english_version_paper.pdf Original website: http://atlanteeolico.rse-web.it/viewer.htm Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3034. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

VAISALA Global Solar Dataset 3km with units in W/m²/day VAISALA Global Solar Dataset provides average annual GHI at a 3km spatial resolution. Average values are based on more than 10 years of hourly GHI data and derived from actual, half-hourly, high-resolution visible satellite imagery observations via the broadband visible wavelength channel at a 2 arc minute resolution. VAISALA processed this information using on a combination of in-house research and algorithms published in peer-reviewed scientific literature. The dataset validated well when compared with observations from 120 geographically distributed surface stations around the globe (validation paper available here: http://www.vaisala.com/en/energy/Documents/WEA-ERG-3TIER-Global%20Wind%20Dataset.pdf). The information provided in the Global Atlas is meant to inform high-level policy debate (identification of opportunity areas for further prospection, preliminary assessment of technical potentials), or to perform market screening (cross referencing the resource information with policy information). It is suitable for decision-making activities, excluding financial commitments. It is a subset of a more detailed, long-term dataset, which includes hourly values of GHI, DNI, and other weather variables. VAISALA can provide this information and other customized services to facilitate project-specific or regional development, financial planning, and energy scheduling. By using this dataset, the user accepts VAISALA Terms and Conditions shown here: http://globalatlas.irena.org/VAISALA-terms-conditions.aspx Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3033. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Source: RSE S.p.A. Website: www.rse-web.it Description: Annual mean wind speed and specific production maps at four levels (25, 50, 75 and 100 m) above ground and sea, with 1 km spatial resolution, are available in a WebGIS for navigation and free download. The maps have been calculated by means of the WINDS model of Genoa University. The onshore maps have been calibrated with more than 200 met stations data, the offshore maps with satellite data and few available direct measurements. Constraints maps can be overlapped. A “Performance Calculation” tool allows the user to perform a technical-economical evaluation of hypothesis of wind farms based on the dataset of the Wind Atlas. Detailed description: http://irena.masdar.ac.ae/docs/OWEMES_Italian_wind_atlas_english_version_paper.pdf Original website: http://atlanteeolico.rse-web.it/viewer.htm Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3034. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq

Source: RSE S.p.A. Website: www.rse-web.it Description: Annual mean wind speed and specific production maps at four levels (25, 50, 75 and 100 m) above ground and sea, with 1 km spatial resolution, are available in a WebGIS for navigation and free download. The maps have been calculated by means of the WINDS model of Genoa University. The onshore maps have been calibrated with more than 200 met stations data, the offshore maps with satellite data and few available direct measurements. Constraints maps can be overlapped. A “Performance Calculation” tool allows the user to perform a technical-economical evaluation of hypothesis of wind farms based on the dataset of the Wind Atlas. Detailed description: http://irena.masdar.ac.ae/docs/OWEMES_Italian_wind_atlas_english_version_paper.pdf Original website: http://atlanteeolico.rse-web.it/viewer.htm Please access he data quality information for this dataset at: http://globalatlas.irena.org/dqif/publishdata.aspx?datasetid=3034. Also for additional information please download the data quality framework report at: goo.gl/T2wMaq