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96 results for “Surface winds”
water surface at about 68 m/s wind speed
<p>Filmed at University of Miami's SUSTAIN wind wave tank (http://sustain.rsmas.miami.edu/) with the imaging slope gauge (ISG) developed by the Air-Sea Interaction group of Heidelberg University (http://www.iup.uni-heidelberg.de/institut/forschung/groups/gw). More information about the ISG can be found at https://doi.org/10.2971/jeos.2014.14015.<br> filmed at: 10000fps<br> playback at: 60fps<br> image size: approx, 28cmx24cm</p>
Monthly RACMO2.4p1 data for Greenland (11 km) and Antarctica (27 km) for SMB, SEB, near-surface temperature and wind speed (2006-2015)
<p>Version 2: Updated missing months in the Antarctic data set.</p> <p>Monthly-accumulated (named monthlyS) and monthly-averaged (named monthlyA) data for RACMO2.4p1 for Greenland (GRN) and Antarctica (ANT) on a 11 km and 27 km horizontal resolution grid, respectively, are presented in this data set and are available for 2006 until 2015. The data include the surface mass balance (SMB), snow melt (mltgl), refreezing (rfrzgl), precipitation (pr), runoff (totrunoff), drifting snow erosion (sndiv), sublimation (sublgl) and sublimation due to blowing snow (sublsd), all in kg m-2 mo-1. For the surface energy balance (SEB): the downward shortwave radiation (rsds), shortwave upward radiation (rsus), downward longwave radiation (rlds), upward longwave radiation (rlus), sensible heat flux (hfss) and latent heat flux (hfls) are available. The SEB components are in J m-2. To convert to W m-2, divide by the amount of seconds in a month. In addition, the near-surface temperature (tas), in K, and near-surface wind speed (sfcwind), in m s-1, are included.</p> <p><br>This data set does not represent new surface mass balance and climate products for Greenland and Antarctica. This will follow in later publications, where RACMO2.4 simulations are presented covering the full historical time period of ERA5 with higher horizontal resolution. </p>
Large eddy simulation input data for publication "Pressure fields in the airflow over wind-generated surface waves" by Funke et al.
<p>Input files allow for the simulation of a turbulent flow over a sinusoidal surface using the PALM LES model, version 6.0, revision 4901.</p>
Data accompanying the paper "Improving the near-surface wind and turbulence at the edge of the orographic drag grey zone by tuning the roughness length"
<p>This repository contains outputs from simulations (with observations) launched with the ALARO-HR18 model utilizing the TOUCANS two-energy turbulence scheme and different roughness length configurations. The results are provided in three separate files, i.e., "acf_data.zip", "fluxes.zip", and "verif_data.zip".</p> <p>1) "acf_data.zip" contains four ASCII files with the name "acf_DATE_TYPE.txt", where DATE=YYYYMMDD and TYPE=mountain or flat. Each file includes the model data from surroundings of approx. 200 x 200 km around the chosen point (flat terrain or mountain), and provides data on longitude (LON), latitude (LAT), zonal wind (U-WIND), meridional wind (V-WIND) and wind speed (W). The data included in this file were used to compute the 2D spatial autocorrelation function for different cases and locations shown in Fig.3.</p> <p>2) "fluxes.zip" contains individual ASCII files with the name "FTYPE_EXP.txt", where FTYPE=uw_flux or vw_flux, and EXP is one of OBS, ORL, REF, EXP1, EXP2, EXP3 and EXP4. Each file contains turbulent momentum flux data at four vertical levels (5 m; UW005 and VW005, 60 m; UW060 and VW060; 100 m; UW100 and VW100 and 180 m; UW180 and VW180). The description of EXP is following:</p> <p>OBS; observed momentum fluxes from the Cabauw tower, the Netherlands, corresponding to five different cases, i.e., matching with 3D model simulations starting at 00 UTC on 6, 10 and 16th February 2020, as well as 16 and 25th August 2020. Each column corresponds to one vertical level, while the rows represent hourly values (up to +72 hours in advance), added case by case.</p> <p>ORL; predicted fluxes obtained with the old roughness length configuration described in the paper.</p> <p>REF; predicted fluxes obtained with the new roughness length (NRL) configuration as described in the paper and without tuning the vegetation roughness length (C1=0.25, C2=1.0, C3=6, FA=0 and OGWD scheme on).</p> <p>EXP1; is the same as REF but with C2=1.5.</p> <p>EXP2; is the same as REF but with C2=1.875.</p> <p>EXP3; is the same as REF but with C2=1.875 and C3=3.</p> <p>EXP4; is the same as REF but with C2=1.875 and C3=1.5.</p> <p>The data included in this file were used to prepare inputs to Table 2.</p> <p><strong>NOTE:</strong> The measurements taken at the Cabauw tower are under the care of "Koninklijk Nederlands Meteorologisch Instituut" (KNMI). They are added to this repository only to confirm related results presented in the paper. For any personal use of these data, contact the responsible KNMI staff.</p> <p>3) "verif_data.zip" contains individual ASCII files used to validate the impact of various tunable parameters and final settings of the NRL configuration on 10-m wind, i.e., for preparation of Fig. 6-8. and Fig. 9-12. Individual ASCII files are named "WS_EXP_SDATE_ENDDATE_all", where:</p> <ul> <li>a) EXP is one of C1s, C1f, C2s, C2f, C3s, C3f, ORL, NRLs, NRLf, FAs, FAf, GWDon and GWDoff. "s" and "f" correspond to the starting and the final setup related to sensitivity studies performed in the paper (Fig. 6-8.) or starting and final version of the NRL configuration (Fig. 10-12). The results from FAs, FAf, GWDon and GWDoff are only briefly commented on within the paper but not shown.</li> <li>b) SDATE=YYYYMMDD (starting date of the validation period), and</li> <li>c) EDATE=YYYYMMDD (ending date of the validation period).</li> </ul> <p>Each ASCII file contains the following fields (column-wise): SYNOP number of station (location; for explanation cf. "synop_list.txt"), latitude (lat), longitude (lon), altitude of the station (h), date to which data refers to (date), forecast lead time to which data refers to (lead time), predicted 10-m wind (fcst) and measured 10-m wind (obs).</p> <p><strong>CAUTION:</strong> Be aware that all times are given in UTC and that they are consistently used where predicted and observed data are used.</p> <p>In case you have any questions, contact the corresponding author.</p>
Data from: Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction
Open the record for dataset details and reuse information.
ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean 0.5 Degree (Version 4 Release 4)
This dataset contains daily-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
Aquarius CAP Level 2 Sea Surface Salinity, Wind Speed & Direction Data V5.0
The version 5.0 Aquarius CAP Level 2 product contains the fourth release of the AQUARIUS/SAC-D orbital/swath data based on the Combined Active Passive (CAP) algorithm. CAP is a P.I. produced dataset developed and provided by JPL. This Level 2 dataset contains sea surface salinity (SSS), wind speed and wind direction data derived from 3 different radiometers and the onboard scatterometer. The CAP algorithm simultaneously retrieves the salinity, wind speed and direction by minimizing the sum of squared differences between model and observations. The main improvements in CAP V5.0 relative to the previous version include: updates to the Geophysical Model Functions to 4th order harmonics with the inclusion of sea surface temperature (SST) and stability at air-sea interface effects; use of the Canadian Meteorological Center (CMC) SST product as the new source ancillary sea surface temperature data in place of NOAA OI SST. Each L2 data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath.
ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Monthly Mean llc90 Grid (Version 4 Release 4)
This dataset provides monthly-averaged atmosphere surface temperature, humidity, winds, and pressure on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Daily Mean llc90 Grid (Version 4 Release 4)
This dataset provides daily-averaged atmosphere surface temperature, humidity, winds, and pressure on the native Lat-Lon-Cap 90 (LLC90) model grid from the ECCO Version 4 Release 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g., research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
ECCO Atmosphere Surface Temperature, Humidity, Wind, and Pressure - Monthly Mean 0.5 Degree (Version 4 Release 4)
This dataset contains monthly-averaged atmosphere surface temperature, humidity, wind, and pressure interpolated to a regular 0.5-degree grid from the ECCO Version 4 revision 4 (V4r4) ocean and sea-ice state estimate. Estimating the Circulation and Climate of the Ocean (ECCO) ocean and sea-ice state estimates are dynamically and kinematically-consistent reconstructions of the three-dimensional, time-evolving ocean, sea-ice, and surface atmospheric states. ECCO V4r4 is a free-running solution of the 1-degree global configuration of the MIT general circulation model (MITgcm) that has been fit to observations in a least-squares sense. Observational data constraints used in V4r4 include sea surface height (SSH) from satellite altimeters [ERS-1/2, TOPEX/Poseidon, GFO, ENVISAT, Jason-1,2,3, CryoSat-2, and SARAL/AltiKa]; sea surface temperature (SST) from satellite radiometers [AVHRR], sea surface salinity (SSS) from the Aquarius satellite radiometer/scatterometer, ocean bottom pressure (OBP) from the GRACE satellite gravimeter; sea ice concentration from satellite radiometers [SSM/I and SSMIS], and in-situ ocean temperature and salinity measured with conductivity-temperature-depth (CTD) sensors and expendable bathythermographs (XBTs) from several programs [e.g., WOCE, GO-SHIP, Argo, and others] and platforms [e.g.,research vessels, gliders, moorings, ice-tethered profilers, and instrumented pinnipeds]. V4r4 covers the period 1992-01-01T12:00:00 to 2018-01-01T00:00:00.
Evaluation of a wind tunnel designed to investigate the response of evaporation to changes in the incoming longwave radiation at a water surface. Part I and II
<p>Data in spreadsheet format for wind tunnel evaporation experiments 2019-2022.</p>
Code - Effects of horizontal resolution and updated surface data on the simulated low-level winds over Incheon International Airport
Open the record for dataset details and reuse information.
Experimental Investigation of Surface Roughness Effects and Transition on Wind Turbine Performance
<p>Aerodynamic experiments have been executed in the wind tunnel and on a wind turbine blade to measure the impact of roughness on the airfoil characteristics and the associated effect on rotor performance and to establish the transition location on a rotating blade. The wind tunnel tests have been performed in the low-speed, low-turbulence wind tunnel of TUDelft. The wind turbine tests were carried out at ECN&rsquo;s Wind Turbine Test Site. Roughness simulation material has been installed on the airfoil leading edge to measure the impact on airfoil performance. Microphones were mounted on the airfoil surface to detect the boundary layer laminar to turbulent transition position both on the wind tunnel model and on the wind turbine blade.</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>
Datasets of GEV distribution values of observed surface pressure, rainfall and westward wind speed
<p>These are the generalized extreme value (GEV) distribution results obtained from Figure 3.5B, Figure 3.6B, Figure 3.7B and Figure C.4d in Peirson et al. (2011) and Figure 4, Figure 5, Figure 6 in Peirson et al. (2014). These datasets had been used to evaluate the climate model characterization of extreme storms. The evaluation results have been summarized in a paper which submitted to Journal of Climate: Wenjun Zhu et al., 2023: "An Assessment of Model Projections of Climate-change Induced Extreme Storms on the South-eastern Coast of Australia" (submitted).</p>
Aquarius Official Release Level 2 Sea Surface Salinity & Wind Speed Data V5.0
The version 5.0 Aquarius Level 2 product is the official third release of the orbital/swath data from AQUARIUS/SAC-D mission. The Aquarius Level 2 data set contains sea surface salinity (SSS) and wind speed data derived from 3 different radiometers and the onboard scatterometer. Included also in the Level 2 data are the horizontal and vertical brightness temperatures (TH and TV) for each radiometer, ancillary data, flags, converted telemetry and navigation data.Each data file covers one 98 minute orbit. The Aquarius instrument is onboard the AQUARIUS/SAC-D satellite, a collaborative effort between NASA and the Argentinian Space Agency Comision Nacional de Actividades Espaciales (CONAE). The instrument consists of three radiometers in push broom alignment at incidence angles of 29, 38, and 46 degrees incidence angles relative to the shadow side of the orbit. Footprints for the beams are: 76 km (along-track) x 94 km (cross-track), 84 km x 120 km and 96km x 156 km, yielding a total cross-track swath of 370 km. The radiometers measure brightness temperature at 1.413 GHz in their respective horizontal and vertical polarizations (TH and TV). A scatterometer operating at 1.26 GHz measures ocean backscatter in each footprint that is used for surface roughness corrections in the estimation of salinity. The scatterometer has an approximate 390km swath. Enhancements to the version 5.0 Level 2 data relative to v4.0 include: improvement of the salinity retrieval geophysical model for SST bias, estimates of SSS uncertainties (systematic and random components), and inclusion of a new spiciness variable.
TROPESS Chemical Reanalysis Surface Meridional Wind 2-Hourly 2-dimensional Product V1 (TRPSCRV2H2D) at GES DISC
The TROPESS Chemical Reanalysis Surface Meridional Wind 2-Hourly 2-dimensional Product contains surface meridional wind component (v vector) values, a meteorological field. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors.The data files are written in the netCDF version 4 file format, and each file contains a year of data at 2-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.
MetOp-B ASCAT Scatterometer Inter-Calibrated ESDR Level 2 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Vectors Version 1.1
This dataset contains ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations (the MetOp-B ASCAT scatterometer), representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaAUREs program. This product from MetOp-B ASCAT has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, ScatSat-1, and QuikScat satellites (all of which can be found on the MEaSUREs OSVW Project Page), and if used together create an unbroken record of winds from 1999 to 2022. The wind vector and stress retrievals are provided on a non-uniform grid within the swath (Level 2 (L2) products) at 12.5 km pixel resolution. Each L2 file corresponds to a specific orbital revolution number, which begins at the southernmost point of the ascending orbit. The thumbnail shows data for two orbits - using all orbits for a single day will provide global coverage.<br><br>The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Version 1.1 provides a set of updates and improvements from version 1.0, including: 1) increased data coverage, 2) improved quality control, and 3) new global metadata attributes featuring revolution number, equator crossing longitude, and equator crossing time (UTC). The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).
MetOp-B ASCAT Scatterometer Inter-Calibrated ESDR Level 3 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Version 1.0
This dataset contains gridded ocean surface wind vectors (equivalent neutral and true 10m) and wind stress vectors derived from satellite-based scatterometer observations (the MetOp-B ASCAT scatterometer), representing the first science quality release of these data funded under the MEaSUREs program. This product from MetOp-B ASCAT has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, ScatSat-1, and QuikScat satellites, all of which can be found on the MEaSUREs OSVW Project Page. The wind vector and stress retrievals are provided on a global grid (one per file) at 12.5 km pixel resolution, but data exist only over areas of the globe that fell within one of the satellite swaths/orbits for that day (see thumbnail). <br><br>The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. Note that this is the first version of the Level 3 data (V1.0) but they were derived from V1.1 of the Level 2 product. The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST).
Metop-B ASCAT Inter-Calibrated ESDR Level 2 Observed and Modeled Spatial Derivatives of Surface Wind and Wind Stress Version 1.0
This dataset contains the curl and divergence of ocean surface equivalent neutral wind and wind stress, derived from satellite-based scatterometer observations (the MetOp-B ASCAT scatterometer), representing the first science quality release of these data (post-provisional after v1.0) funded under the MEaSUREs program. This product from MetOp-B ASCAT has been intercalibrated with similar scatterometer measurements from instruments on the MetOp-A, ScatSat-1, and QuikScat satellites, all of which can be found on the MEaSUREs OSVW Project Page. These Level 2 data are provided on a non-uniform grid within the satellite swath at ~12.5 km pixel resolution. Each L2 file corresponds to a specific orbital revolution number, which begins at the southernmost point of the ascending orbit - the thumbnail preview shows data for all orbits over a day (typically 14 orbits). Estimates for the curls and divergences are computed over several spatial domains with varying radii from the point of interest, and included as separate variables.<br><br>The dataset represents the first science quality release funded under the MEaSUREs (Making Earth System Data Records for Use in Research Environments) program. The primary purpose of this release is for science evaluation by the NASA International Ocean Vector Winds Science Team (IOVWST). This V1.0 of the data was derived from V1.1 of the L2 wind and stress product.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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.