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342 results for “Solar Wind”
Hourly wind speed, solar radiation and load demand data
<p>Hourly data for wind velocity, solar radiation and load demand as time series of 10 years length, used within the simulation of a hybrid renewable energy system in the island of Sifnos, Greece. </p>
Data from: Impact of solar and wind development on conservation values in the Mojave Desert
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The effects of solar wind structure on nanodust dynamics in the inner heliosphere
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Potential power scenario for solar, wind and hydropower in Europe
<p>Data for power scenario used to assess climate impact on solar, wind and hydropower over a 35-year historical period.</p><p> </p><p><strong>Structure and content of data repository</strong></p><p>Here, we provide information on the data used in the investigation of the scientific article "Continental complementarity of renewable energy mixes" by Wörman et al., Nature Communications Engineering.</p><p>Hydro-climatic data was obtained from the Copernicus ECMWF database for an area of 13 106 km2 covering most parts of Europe and the Middle East. The hydropower potential was calculated at the locations of hydropower stations included in the GranD data base (Beams et al., 2019). Runoff was calculated based on the E-HEPE model (Hundecha et al., 2016) and this was used to estimate the hydropower potential at station locations (Wörman et al., 2017) and to generalize these values to 362 of totally 1,055 uniformly distributed sub-areas covering Europe (see figure below). The primary data used to derive the hydropower data contained in this repository is available at this link:</p><p>Virtual Energy Storage – Hydropower, DOI: 10.5281/zenodo.3706758</p><p>Daily data of the Surface Solar Radiation Downwards (SSRD) from 01-01-1979 to 31-12-2020 was obtained from Copernicus ECMWF database and converted to radiation incident on a fixed, south-facing panel with an inclination equal to the latitude and, further, covered to PV power potential according to Huld et al (2011, 2015). The power potential was averaged over 24 hours (both night and day) under consideration of changes in the solar elevation and azimuth angles as well as aggregated for 995 of the 1,055 sub-areas. A data report is available in catalogue 4. </p><p>Meteorological data with the relevance to wind power potential was obtained from ERA5, a reanalysis product of the ECMWF's General Circulation Model available in the Copernicus Climate Data Store. For comparison, data was also taken from Merra 2 and JRA 55 and used to derive wind speed time-series from 01/01/1979 till 31/12/2019 at the location of 20,010 onshore wind farms from the "World Wind Farm Database". The primary data used to derive the solar PV power data contained in this repository is available in catalogue 4 of this repository. The primary data used to derive the wind power data contained in this repository is available at this link:</p><p>Virtual Energy Storage - Wind power, DOI: 10.5281/zenodo.7749150</p><p>The data representing power scenarios for solar, wind and hydropower are structured in five folders sharing information on different variables and their physiographic characteristics. A ReadMe file is provided in each folder to describe the format of every file:</p><p><strong>1. Temporal mean power for solar-wind-hydro at 1,055 areas</strong></p><p>This folder provides the mean power for the three renewable sources with the following geographical division (Mean_Hydro, Mean_Solar, Mean_Wind). This catalogue also contains information on area id referring to the geographical data files as well as area values and coordinates (ReadMe_mean power CSV).</p><p><strong>2. Geographical data</strong></p><p>This folder contains the following sub-folders and information:</p><ol><li>Shape files for the 1,055 areas depicted above (shapefile_solar_domain)</li><li>Shape file of Europe and parts of the Middle East including different nations (Europe_Shapefile)</li><li>An Excel file with geodata för the 1,055 areas (areas_points_land)</li></ol><p><strong>3. GranD_Hydropower time-series</strong></p><p>This folder contains the following sub-folders and information:</p><ol><li>A ReadMe file</li><li>Temporal mean values of potential hydropower production estimated at GranD hydropower stations (Temporal mean values)</li><li>Linear scaling of the above time-series to match the reported national annual mean hydropower production</li></ol><p><strong>4. Solar power_Time-series_Excel</strong></p><p>This folder contains the following files:</p><ol><li>A data report describing how Copernicus ERA5 data has been used to estimate solar radiation density and conversion to panel power for different panel types (Readme_Accessing_Solar_Data)</li><li>Excel sheets with power density time series for the incident solar radiation (cSolarTimeSeries_ssrd24.xlsx) and two panel types (cSolarTimeSeries_ssrd24, cSolarTimeSeries_CdTe24). The values represents 24h averages.</li></ol><p><strong>5. Time-series of 1055 regions </strong></p><p>This folder contains the daily time-series used in a full assessment of solar, wind and hydropower system based on the above solar power, wind power and hydropower.</p><p>A readme file is also provided.</p><ol><li>Various information, including electric consumption data</li><li>Data on electric consumption extracted on 25/10/2022 13:35:55 from [ESTAT]</li><li>Matlab file used to derive average monthly consumption pattern based on 6a)</li><li>Energy storage capacity in Euopean Hydropower according to data collected by Prof. em. Killingtveit.</li><li>National hydropower production used to scale hydropower estimated at GranD stations to the national production level</li><li>Simulation results used for Figure 3</li></ol><p><strong>6. Various information including electric consumption</strong></p><p> </p><p><strong>References</strong></p><p>Beames at al., 2019. Global Reservoir and dam (GRanD) Database: technical documentation – version 1.3. February 2019. <a href="http://globaldamwatch.org/">http://globaldamwatch.org</a></p><p>Huld, T. and Ana M.G. Amillo. Estimating PV Module Performance over Large Geographical Regions: The Role of Irradiance, Air Temperature, Wind Speed and Solar Spectrum. In: Energies 8 (2015), pp. 5159{5181. doi: <a href="http://dx.doi.org/10.3390/en8065159">http://dx.doi.org/10.3390/en8065159</a>.</p><p>Huld, T.A.; Friesen, G.; Skoczek, A.; Kenny, R.A.; Sample, T.; Field, M.; Dunlop, E.D. A, power-rating model for crystalline silicon PV modules. Solar Energy Mater. Solar Cells 2011, 95, 3359–3369.</p><p>Hundecha, Y., Arheimer, B., Donnelly, C. and Pechlivanidis, I.: A regional parameter estimation scheme for a pan-European multi-basin model, Journal of Hydrology: Regional Studies, 6(Supplement C), 90–111, doi:<a href="https://doi.org/10.1016/j.ejrh.2016.04.002">https://doi.org/10.1016/j.ejrh.2016.04.002</a>, 2016.</p><p>Wörman, A., Lindström, G., Riml, J., 2017. "The Power of Runoff", J. Hydrology, 548(2017): 784-793, dx.doi.org/10.1016/j.jhydrol.2017.03.041</p>
SuperDARN convection data used in the study of "Relation between Magnetopause Position and Reconnection Rate under Quasi-Steady Solar Wind Dynamic Pressure"
<p>Convection velocity data is available in the netCDF file format.</p>
The Dayside Ionosphere of Mars as controlled by the Game Between Solar Wind Dynamic Pressure and Crustal Magnetic Field Strength
<p>Including all 276 profiles like those shown in Figure 2.</p>
Impact of solar wind density and velocity variation on Martian magnetosphere and ion escape process
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Asymmetrical Solar Wind Deflection in the Martian Magnetosheath
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figure data for Statistical Properties and Distributions of Dayside Whistler-mode Waves Under Various Solar Wind Conditions
<p>Figure dataset saved in csv files with the same binned format as the paper described. </p>
Studying solar storm impact on global neutral wind pattern using WACCM-X numerical simulations and Meteor radar observations
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Solar wind power likely governs Uranus' thermosphere temperature
<p>Derived data shown in Figure 1 for the publication in Geophysical Research Letters.</p>
Simulation Results on Size-Dependent Surface Charging of Lunar Cavities Exposed to the Solar Wind
<p>Here we present the numerical simulation data from Nakazono and Miyake (2025), titled "Size-Dependent Surface Charging of Lunar Cavities Exposed to the Solar Wind."</p>
Equatorial nighttime thermospheric zonal wind jet response to the temporal oscillation of solar wind
<p>The simulation data processed in Matlab</p>
JRC - Raw materials demand for wind and solar PV technologies in the transition towards a decarbonised energy system - Materials demand database
<p>This dataset contains the results of the materials demand scenarios for wind and solar PV technologies developed in the following report by the European Commission's Joint Research Centre (JRC):</p> <p>Carrara S., Alves Dias P., Plazzotta B. and Pavel C., Raw materials demand for wind and solar PV technologies in the transition towards a decarbonised energy system, EUR 30095 EN, Publication Office of the European Union, Luxembourg, 2020, ISBN 978-92-76-16225-4, doi:10.2760/160859, JRC119941</p> <p>The report can be found at the following link:</p> <p><a href="https://ec.europa.eu/jrc/en/publication/raw-materials-demand-wind-and-solar-pv-technologies-transition-towards-decarbonised-energy-system">https://ec.europa.eu/jrc/en/publication/raw-materials-demand-wind-and-solar-pv-technologies-transition-towards-decarbonised-energy-system</a></p>
Effects of solar wind density and velocity variations on the Martian ionosphere and plasma transport—a MHD model study
<p>MHD simulation data for paper: Effects of solar wind density and velocity variations on the Martian ionosphere and plasma transport—a MHD model study</p>
Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - solar rcp45hotter 2020-2059
<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>
Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - wind 100m rcp85hotter 2040-2059
<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>
Hourly Wind and Solar Generation Profiles at 1/8th Degree Resolution - solar rcp85cooler 2060-2099
<p>Please see the parent record at <a href="https://doi.org/10.5281/zenodo.10214348">https://doi.org/10.5281/zenodo.10214348</a>.</p>
Dataset of current sheets for "Kinetic-scale current sheets in the solar wind at 5 AU"
<p>This is a dataset of current sheets observed aboard Ulysses spacecraft at 5 AU, close to the ecliptic plane and around solar minimum.</p> <p>The current sheets were collecteed in the time interval of 641 days, from DOY 180 / Year 1997 to DOY 90 / Year 1999. DOY = Day Of Year.</p> <p>There are several columns in the txt file:<br>1) Year: 97, 98 and 99 correspond to 1997, 1998 and 1999<br>2) DOY=Day Of Year<br>3) Type: 0 means that a current sheet is non-bifurcated, while 1 means it is bifurcated. There are 15,309 non-bifurcated current sheets and 1,594 bifurcated current sheets in this dataset.</p> <p>4&5) T_left and T_righ are moments of time corresponding to left and right boundaries of a current sheet, the time is in seconds from the beginning of a DOY. </p>
Data for "The Nature of Right-handed Polarized Ion-scale Waves In the Near-Sun Solar Wind and Extended Solar Corona: the Antisunward Fast-Magnetosonic Whistler Wave or the Sunward Ion Cyclotron Wave?" by Shi et al.
<h2>The database includes all theoretical analysis results based on the linear model.</h2> <h2>Captions:</h2> <p><strong>data_fig1.mat</strong> file is used to plot Figure 1, which is the data of the instabilities driven by the interplay of the temperature anisotropy and relative streaming speed of the proton beam component.</p> <div>x_axis: X axis data, relative streaming speed</div> <div>y_axis: Y axis data, temperature anisotropy</div> <div>gamma_max: normalized growth rate \gamma, used in figure 1a</div> <div>frequency_max: normalized frequency f in the plasma frame, used in figure 1b</div> <div>theta_max: wave propagating angle \theta in the plasma frame , used in figure 1c</div> <div>ellip_max: ellipticity \epsilon in the plasma frame, used in figure 1d</div> <div>theta_max_sc: wave propagating angle \theta in the spacecraft frame , used in figure 1e</div> <div>ellip_max_sc: ellipticity \epsilon in the spacecraft frame, used in figure 1f</div> <div> </div> <div> </div> <p><strong>data_fig2.mat </strong>file is used to plot Figure 2, which is the data of the dependence of the instability in regime I on the relative steaming speed of the proton beam component.</p> <div> sICW_x_axis1: X axis data of figure 2a, normalized k </div> <div> sICW_y_axis1: Y axis data of figure 2a, relative streaming speed</div> <div> sICW_gamma_all: normalized growth rate \gamma of sunward ICW in k and relative steaming speed space, used in figure 2a</div> <div> sICW_x_axis2: X axis data of figure 2b-2e, normalized k</div> <div> sICW_frequency: normalized frequency f of sunward ICW, used in figure 2b</div> <div> sICW_gamma: normalized growth rate \gamma of sunward ICW, used in figure 2c</div> <div> sICW_etr_b: the energy transfer rate of proton beam, used in figure 2d</div> <div> sICW_etr_c: the energy transfer rate of proton core, used in figure 2e</div> <div> </div> <div> asICW_x_axis1: X axis data of figure 2f, normalized k </div> <div> asICW_y_axis1: Y axis data of figure 2f, relative streaming speed</div> <div> asICW_gamma_all: normalized growth rate \gamma of antisunward ICW in k and relative steaming speed space, used in figure 2f</div> <div> asICW_x_axis2: X axis data of figure 2g-2j, normalized k</div> <div> asICW_frequency: normalized frequency f of antisunward ICW, used in figure 2g</div> <div> asICW_gamma: normalized growth rate \gamma of antisunward ICW, used in figure 2h</div> <div> asICW_etr_b: the energy transfer rate of proton beam, used in figure 2i</div> <div> asICW_etr_c: the energy transfer rate of proton core, used in figure 2j</div> <div> </div> <div> </div> <p><strong>data_fig3.mat</strong> file is used to plot Figure 3, which is the data of the dependence of the instability in regime I on the temperature anisotropy of the proton core component.</p> <div> sICW_x_axis1: X axis data of figure 3a, normalized k </div> <div> sICW_y_axis1: Y axis data of figure 3a, temperature anisotropy of the proton core</div> <div> sICW_gamma_all: normalized growth rate \gamma of sunward ICW in k and temperature anisotropy of the proton core space, used in figure 3a</div> <div> sICW_x_axis2: X axis data of figure 3b-3e, normalized k</div> <div> sICW_frequency: normalized frequency f of sunward ICW, used in figure 3b</div> <div> sICW_gamma: normalized growth rate \gamma of sunward ICW, used in figure 3c</div> <div> sICW_etr_b: the energy transfer rate of proton beam, used in figure 3d</div> <div> sICW_etr_c: the energy transfer rate of proton core, used in figure 3e</div> <div> </div> <div> asICW_x_axis1: X axis data of figure 3f, normalized k </div> <div> asICW_y_axis1: Y axis data of figure 3f, temperature anisotropy of the proton core</div> <div> asICW_gamma_all: normalized growth rate \gamma of antisunward ICW in k and temperature anisotropy of the proton core space, used in figure 3f</div> <div> asICW_x_axis2: X axis data of figure 3g-3j, normalized k</div> <div> asICW_frequency: normalized frequency f of antisunward ICW, used in figure 3g</div> <div> asICW_gamma: normalized growth rate \gamma of antisunward ICW, used in figure 3h</div> <div> asICW_etr_b: the energy transfer rate of proton beam, used in figure 3i</div> <div> asICW_etr_c: the energy transfer rate of proton core, used in figure 3j</div> <div> </div> <div> </div> <p><strong>data_fig4</strong>.mat file is used to plot Figure 4, which is the data of the dependence of the wave frequency on the bulk flow speed.</p> <div> x_axis: X axis of figure 4, bulk flow speed.</div> <div> y_axis1: Y axis of figure 4a, normalized relative streaming speed of regime III and V</div> <div> y_axis2: Y axis of figure 4b, normalized relative streaming speed of regime I</div> <div> fVsw_fmw: the normalized frequency distributions in spacecraft frame of antisunward fast-magnetosonic whistler waves in regimes III and V, used in figure 4a</div> <div> fVsw_sic: the normalized frequency distributions in spacecraft frame of sunward ion cyclotron waves in regimes I, used in figure 4b</div> <div> fVsw_fmw_n1: spacecraft frequency of antisunward fast-magnetosonic whistler waves on the 1.5VA bulk flow speed, used in figure 4c</div> <div> fVsw_fmw_n2: spacecraft frequency of antisunward fast-magnetosonic whistler waves on the 2.5VA bulk flow speed, used in figure 4c</div> <div> fVsw_sic_n1: spacecraft frequency of sunward ion cyclotron waves on the 0.25VA bulk flow speed, used in figure 4c</div> <div> fVsw_sic_n2: spacecraft frequency of sunward ion cyclotron waves on the 0.5VA bulk flow speed, used in figure 4c</div> <div> fVsw_sic_n3: spacecraft frequency of sunward ion cyclotron waves on the 0.75VA bulk flow speed, used in figure 4c</div>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.