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607 results for “wind data”
Local vs. regional wind data at the beach of Egmond aan Zee, The Netherlands
<p>This dataset includes wind measurements in the coastal area of the Netherlands. </p> <p>Local winddata (SA01 up to and including SA08) were measured using ultrasonic anemometers in 2015 and 2017 at the beach of Egmond aan Zee, The Netherlands. Regional winddata were derived from a weather station at IJmuiden, The Netherlands.</p> <p>All settings-files contain metadata of the corresponding instruments. </p>
Data for "Impact of HI cooling and study of accretion disks in AGB wind-companion smoothed particle hydrodynamic simulations"
<p>Additional material to Malfait et al. 2024(a) "Impact of HI cooling and study of accretion disks in AGB wind-companion smoothed particle hydrodynamic simulations"</p> <p>This contains input files and final output dumps of the Phantom simulations of this paper, and some movies to illustrate the complex flows within the binary systems.</p> <p>The code used to perform the simulations is available at: <a href="https://github.com/danieljprice/phantom">https://github.com/danieljprice/phantom.</a></p> <p>Splash (<a href="https://github.com/danieljprice/splash">https://github.com/danieljprice/splash</a> ) and Plons (<a href="https://github.com/Ensor-code/plons">https://github.com/Ensor-code/plons</a> ) were used to create figures and plots from this data.</p> <p> </p>
Interview data for 'Risks in the offshore wind supply chain and tendering process impacts: Insights from industry expert elicitations'
<p>Updated 3 category labels to reduce potential for confusion. (v3)</p> <p>Interview data with restored functionality of some unused data analysis methods. (v2)</p> <p>Original upload. (v1)</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2023-06-13 to 2024-02-07 [RAW]
<p>Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – Arboretum (PAARBO) from 2023-09-13 to 2024-03-05 [RAW]
<p>Original data files from DWL measurements at the arboretum de Vallée-aux-Loups (Département 92) in the built-up area in the SW of Greater Paris.</p>
Data from Doppler-Wind Lidar (DWL) measurements at Paris – LISA Université Paris Diderot (PALUPD) from 2022-11-29 to 2023-06-13 [RAW]
<p>Original data files from DWL measurements at the LISA (Laboratoire Interuniversitaire des Systèmes Atmosphériques) observatory site in the city centre of Paris (Université Paris Cité).</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Wilmersdorf (BEWILM) from 2021-09-08 to 2022-10-01 [RAW]
<p>Original data files from DWL measurements. Original data files from scanning DWL measurements on a roof in Berlin–Wilmersdorf located in the SW of the urban area of Berlin, Germany</p>
Data from Doppler-Wind Lidar (DWL) measurements at Berlin – Schöneberg (BESCHO) from 2022-06-28 to 2022-10-05 [RAW]
<p>Original data files from scanning DWL measurements on a roof in Berlin–Schöneberg located in the city centre of Berlin, Germany</p>
Pan-European Climate Database 4.1 - wind onshore data Pan-European Onshore Zones - Parquet format
<p>Data from <a href="https://cds.climate.copernicus.eu/datasets/sis-energy-pecd?tab=documentation">Climate and energy related variables from the Pan-European Climate Database derived from reanalysis and climate projections</a></p> <p>The python script to download using the CDS API are included.</p> <p>This is a Parquet (long and tidy) version of the original CSV files. </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>
Data for comprehensive effect of soil particle size composition and wind speed on dust emission efficiency
<p>The original data obtained by the wind tunnel experiments aims to investigate the comprehensive effect of soil particle size composition and wind speed on dust emission efficiency</p>
Data for "Negative effects of wind on plant hydraulics at the global scale"
<p>To minimize ontogenetic and methodological variation, we only included trait data that met the following criteria: (a) plants were grown in natural ecosystems, excluding greenhouse and common garden experiments; (b) measurements were made on adult plants and not on seedlings; (c) hydraulic traits were measured on terminal stem or branch segments in the sapwood at the crown; and (d) trait data were calculated as the mean value for each species at the same site when data were from multiple sources.</p> <p>Climate data were obtained either from the original reports or from WorldClim version 2 (http://worldclim.org/version2) if the original data were not available. The following variables were extracted from WorldClim: mean annual wind speed, mean annual precipitation, mean annual temperature, precipitation seasonality, temperature seasonality, precipitation of driest month, and minimum temperature of coldest month. The VPD data was extracted from the TerraClimate dataset (http://www.climatologylab.org/terraclimate.html). Annual PET (potential evapotranspiration) data were extracted from the CGIAR-CSI consortium (http://www.cgiar-csi.org/data). The moisture index (MI) is the ratio of precipitation to PET.</p>
Inflow and meteorological data of the planned Longyangxia hydro–PV-wind power plant
Open the record for dataset details and reuse information.
Wind Solar Wind Experiment (SWE) Strahl Detector Two Dimensional Electron Angular Distributions, (H4), 12 s Data
Explanatory Notes: The 2D Electron Angular Distributions included in this Data Set were measured by the Wind/SWE Strahl Detector (see Ogilvie et al., "SWE, a Comprehensive Plasma Instrument for the Wind Spacecraft", Space Sci. Rev., 71, 55, 1995). Each Angular Distribution was measured at a single Electron Energy. The Energy was selected by applying a Voltage between the Electrostatic Analyzer Plates. The Detector sampled 32 Energies between 19 eV and 1238 eV, and during normal Operation would Sweep through these Energies one at a Time with approximately 12 s Cadence. The 12 Anodes of the Instrument are set in a vertical Pattern in a Plane that contains the Spacecraft Spin Axis, spanning a Field of View +/-28° centered around the Ecliptic (with uneven Angular spacing between Anodes). The Wind Spacecraft Spin Axis is set at a Right Angle with the Ecliptic Plane, allowing different Azimuthal Angles to be sampled as the Spacecraft Spins (3 s Spin Period). These Azimuthal Bins have a Fixed Separation of 3.53°. Each Strahl (and Antistrahl) Distribution measured by the Spacecraft consists of a 14 ⨯ 12 Angular Grid of Electron Counts, that was measured at a Fixed Energy during a single Spacecraft Spin. Counts are converted into Physical Units of f(v) (e.g., cm^-6s^3) in the standard Fashion by accounting for the Detector Efficiency and Geometric Factor. The Data Set reported here contains: f_strahl, f_antistrahl, f_strahl_counts, f_antistrahl_counts, phi_strahl, phi_antistrahl, theta, energy.
First ISCCP Regional Experiment (FIRE) Cirrus Phase II National Oceanic and Atmospheric Administration (NOAA) Wind Profiler Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.The NOAA wind profiles were collected during the period from Nov. 13, 1991 to Dec. 7 1991. The original data were stored in the Enhanced Binary Universal Form (EBUF) format. These data files have been reformatted and are provided (in ASCII format) by the Langley DAAC.
NARSTO EPA Supersite (SS) Atlanta 1999 University of Alabama-Huntsville (UAH) Mobile Integrated Profiling System (MIPS) Wind Data
NARSTO_EPA_SS_ATLANTA_1999_UAH_MIPS_DATA is the North American Research Strategy for Tropospheric Ozone (NARSTO) Environmental Protection Agency (EPA) Supersite (SS) Atlanta 1999 University of Alabama-Huntsville (UAH) Mobile Integrated Profiling System (MIPS) Wind Data product. Files for this data product were obtained from July to September 1999 during the Atlanta Experiment of the EPA Particulate Matter Supersites Program. The UAH MIPS Doppler profiler (915 MHz radar) was used to estimate the vertical distribution of horizontal wind speed and wind direction. Radial velocity along six beams was used to obtain the horizontal wind speed and wind direction. The consensus averaging time was 55 minutes, the number of beams is 6, and the number of range gates was 41. For beam 1, the number of records required to make consensus was 16, the total number of records was 26, and the consensus window size was 4 m/s. For beams 2 and 3, the number of records required to make consensus was 13, the total number of records was 26, and the consensus window size was 3 m/s. There was no data for beams 4 and 5. For beam 6, the number of records required to make consensus was 16, the total number of records was 26 and the consensus window size was 3 m/s. The azimuth and elevation for beams 1 to 6 were: 358 and 90; 88 and 66.4; 178 and 66.4; none; none; 88 and 90.The EPA selected Atlanta as one of the first Supersites Programs dedicated to the study of fine particles (or Particulate Matter (PM) 2.5). The Southern Oxidants Study (SOS) in conjunction with the Georgia Institute of Technology, Earth and Atmospheric Sciences Department developed and implemented the scientific research plan for this initial Supersites Program effort. The Atlanta field experiment was a 4-week long campaign aimed at comprehensively addressing issues related to the measurement and characterization of fine particles in the polluted or urban atmosphere. The experiment took place during the August 1999 and deployed a wide array of instrumentation at a measurement site located on Jefferson Street in Midtown Atlanta. Goals of the Atlanta Supersite Program were twofold: first, to provide a platform for testing and contrasting some of the newer particle measurement techniques; and second, to provide data to advance our scientific understanding of atmospheric processes regarding atmospheric particles. Specific objectives were: (1) to characterize the performance of emerging and/or state-of-the-science PM Measurements; (2) to compare and contrast similar and dissimilar PM Measurements; (3) to evaluate the precision, accuracy, and completeness of information that can be gained from the planned EPA PM mass and chemical composition networks; (4) to evaluate the scientific information gained by combining various independent and complementary PM Measurements; and (5) to address various scientific issues and their ozone- and PM-related policy implications with this data base.The EPA PM Supersites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.NARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission was to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are still available.
First ISCCP Regional Experiment (FIRE) Marine Stratocumulus National Oceanic and Atmospheric Administration (NOAA) Wind Profiler Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to seek the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.There are three types of NOAA wind profiler data, all have been splined to a 25-meter vertical resolution and a 1-hour temporal resolution. Parameters include potential temperature derived from the CLASS (CSU, Steve Cox) radiosonde (100 to 2300 M above sea level), smoothed merged Pennsylvania State University (PSU) sodar and profiler wind speeds and directions (300 to 2075 M above sea level) and derived Richardson Numbers from these data (325-2050 M MSL).
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) ERS-1 Wind Scatterometer Data
The First ISCCP Regional Experiments have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the ISCCP data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.The wind scatterometer aboard ERS-1 scans a 300km wide zone, situated 300km right of the satellite track. Orbital data are given for each orbit (number 1 to 501), starting from the orbit node (10:30 solar time for the descending orbit at the equator). The complete cycle duration is 35 days. Data from the ASTEX domain have been extracted for June, 1992 from the fast delivery product tapes provided by ESA. The raw data have been processed by ESA, using an algorithm (CMOD2) which has has revealed to fail in a number of cases. Itresults in particular in erroneous wind direction (180deg ambiguit\ y). These data thus cannot be used without a careful examination of their coherence.
First ISCCP Regional Experiment (FIRE) Atlantic Stratocumulus Transition Experiment (ASTEX) PSU Malcolm Baldridge Wind Profiler Data
The First ISCCP Regional Experiments (FIRE) have been designed to improve data products and cloud/radiation parameterizations used in general circulation models (GCMs). Specifically, the goals of FIRE are (1) to improve the basic understanding of the interaction of physical processes in determining life cycles of cirrus and marine stratocumulus systems and the radiative properties of these clouds during their life cycles and (2) to investigate the interrelationships between the International Satellite Cloud Climatology Project (ISCCP) data, GCM parameterizations, and higher space and time resolution cloud data. To-date, four intensive field-observation (IFO) periods were planned and executed: a cirrus IFO (October 13 - November 2, 1986); a marine stratocumulus IFO off the southwestern coast of California (June 29 - July 20, 1987); a second cirrus IFO in southeastern Kansas (November 13 - December 7, 1991); and a second marine stratocumulus IFO in the eastern North Atlantic Ocean (June 1 - June 28, 1992). Each mission combined coordinated satellite, airborne, and surface observations with modeling studies to investigate the cloud properties and physical processes of the cloud systems.
NARSTO SOS99NASH Wind Profiler Data
The NARSTO_SOS99NASH_WIND_PROFILER_DATA were obtained between May 19 and August 4, 1999. Wind components (u and v) were collected from five 915-MHz radar wind profilers. Availability of data for each day varies among the profilers, especially at the beginning and end of the project.The profilers and their locations were:Cornelia Fort Airpark (CFA) 36.19N, 86.70 W, 126 m MSLDickson (DIK) 36.25N, 87.37W, 225 m MSLEagleville (EGV) 35.73N, 86.60W, 228 m MSLGallatin (GAL) 36.33N, 86.40W, 171 m MSLCumberland (CMB) 36.38N, 87.65W, 136 m MSLThe number and location of range gates (vertical location of the wind measurements) was:CFA: 1st gate 146 m AGL, 64 gatesDIK, EGV, GAL: 1st gate 96 m AGL, 50 gatesCMB: 1st gate 165 m AGL, 64 gatesAll sites use 58 m range gates.Mixing depth (convective boundary layer height or zi) is given for daytime hours at each site as derived from a manual inspection of profiler reflectivity patterns. Data may be unavailable for a variety of reasons including rain, poorly defined boundary layer, or instrument outage. Data in late afternoon should be used with care even when available, since the afternoon transition is poorly understood.NARSTO (formerly North American Research Strategy for Tropospheric Ozone) is a public/private partnership, whose membership spans government, the utilities, industry, and academe throughout Mexico, the United States, and Canada. The primary mission is to coordinate and enhance policy-relevant scientific research and assessment of tropospheric pollution behavior; activities provide input for science-based decision-making and determination of workable, efficient, and effective strategies for local and regional air-pollution management. Data products from local, regional, and international monitoring and research programs are available.
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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