Comments on V/STOL wind tunnel data at low forward speeds.
V/STOL wind tunnel data at low forward speeds, discussing test limit dependence on model size, downwash angle and tunnel geometry
Rae, W. H., Jr.↗
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Water tunnel flow visualization and wind tunnel data analysis of the F/A-18
Six degree of freedom studies were utilized to extract a band of yawing and rolling moment coefficients from the F/A-18 aircraft flight records. These were compared with 0.06 scale model data obtained in a 16T wind tunnel facility. The results, indicate the flight test yawing moment data exhibit an improvement over the wind tunnel data to near neutral stability and a significant reduction in lateral stability (again to anear neutral level). These data are consistent with the flight test results since the motion was characterized by a relatively slo departure. Flight tests repeated the slow yaw departure at M 0.3. Only 0.16 scale model wind tunnel data showed levels of lateral stability similar to the flight test results. Accordingly, geometric modifications were investigated on the 0.16 scale model in the 30x60 foot wind tunnel to improve high angle of attack lateral stability.
Erickson, G. E.↗
Evaluation of Use Cases and Types of Databases for Hosting Wind Power Data
The goal of the National Wind Power Production Data Dashboard project is to develop a publicly available platform to model, process, and share wind power with uncertainty quantification for the current and future onshore and offshore wind plants across the continental United States. As of 2021, more than 70,000 utility-scale wind turbines have been installed across the United States and this number is expected to grow in the next few years. A large-scale wind power production database is needed for stakeholders (policy makers, operators, and researchers) to access easily for their decision-making. Currently, meeting that need is a challenge. Most wind power operators and system operators focus on regions of their own interest, and the data are usually inaccessible to the public.
17 WIND ENERGY↗
Performance experience with the new jpl wind tunnel data acquisition system
Performance characteristics of data acquisition system for wind tunnel digital data function
PERFORMANCE CHARACTERISTICS↗
An application of automatic carpet plotting to wind-tunnel data reduction.
Automatic carpet plotting applicability to reduction of wind tunnel data
DATA REDUCTION↗
Adaptive sensing for a gas leak detection
A method, a system and an apparatus for adaptively sensing a gas leak. The method includes: obtaining wind data from a wind sensor, identifying at least one wireless mote in a plurality of wireless motes that is most likely to detect a gas plume from the wind data, activating the identified at least one wireless mote to trigger measuring gas concentration of the gas plume, and identifying the location of the gas leak if the gas concentration is above a predetermined threshold. Also included is a system for adaptively sensing a gas leak having a wind sensor, a plurality of wireless motes and a server in communication therewith. An apparatus for adaptively sensing a gas leak in an industrial site is also provided.
03 NATURAL GAS↗
2021 Radionuclide Air Emissions Report for Los Alamos National Laboratory, Revised October 2022
Provided is a revision to the Calendar Year 2021 Radionuclide Air Emissions Report for the Los Alamos National Laboratory (LANL). This report is a regulatory compliance deliverable for LANL under the Radionuclide NESHAP, 40 CFR 61 Subpart H. The revised report is needed to correct an error identified regarding generation of wind data files. These wind data files are used for plume modeling as part of calculating off-sites doses from monitored radionuclide air emissions sources. The error resulted from a software update by LANL’s meteorology team after new towers were added to the tower network. As a result of this error, incorrect wind frequencies were assigned to the different stability classes. This slightly affected the plume model calculations and subsequent off-site dose determinations for analyses using these wind files.
2021 Radionuclide, Air Emissions↗
Benefit-cost methodology study with example application of the use of wind generators
An example application for cost-benefit methodology is presented for the use of wind generators. The approach adopted for the example application consisted of the following activities: (1) surveying of the available wind data and wind power system information, (2) developing models which quantitatively described wind distributions, wind power systems, and cost-benefit differences between conventional systems and wind power systems, and (3) applying the cost-benefit methodology to compare a conventional electrical energy generation system with systems which included wind power generators. Wind speed distribution data were obtained from sites throughout the contiguous United States and were used to compute plant factor contours shown on an annual and seasonal basis. Plant factor values (ratio of average output power to rated power) are found to be as high as 0.6 (on an annual average basis) in portions of the central U. S. and in sections of the New England coastal area. Two types of wind power systems were selected for the application of the cost-benefit methodology. A cost-benefit model was designed and implemented on a computer to establish a practical tool for studying the relative costs and benefits of wind power systems under a variety of conditions and to efficiently and effectively perform associated sensitivity analyses.
Zimmer, R. P.↗
Modeling and implementation of wind shear data
The problems of implementing the JAWS wind shear data are discussed. The data sets are described from the view of utilizing them in an aircraft performance computer program. Then, some of the problems of nonstandard procedures are described in terms of programming the equations of aircraft motion when the effects of temporal and spatially variable winds are included. Finally, some of the computed effects of the various wind shear terms are shown.
Frost, Walter↗
A Correlation Between Flight-Determined Derivatives and Wind-Tunnel Data for the X-24B Research Aircraft
Longitudinal and lateral-directional estimates of the aerodynamic derivatives of the X-24B research aircraft were obtained from flight data by using a modified maximum likelihood estimation method. Data were obtained over a Mach number range from 0.35 to 1.72 and over an angle of attack range from 3.5 deg. to 15.7 deg. Data are presented for a subsonic and transonic configuration. The flight derivatives were generally consistent and documented the aircraft well. The correlation between the flight data and wind-tunnel predictions is presented and discussed.
Sim, Alex G.↗
Wind Tunnel Data Fusion and Immersive Visualization: A Case Study
This case study describes the process of fusing the data from several wind tunnel experiments into a single coherent visualization. Each experiment was conducted independently and was designed to explore different flow features around airplane landing gear. In the past, it would have been very difficult to correlate results from the different experiments. However, with a single 3-D visualization representing the fusion of the three experiments, significant insight into the composite flowfield was observed that would have been extremely difficult to obtain by studying its component parts. The results are even more compelling when viewed in an immersive environment.
Severance, Kurt↗
A Correlation Between Flight-Determined Derivatives and Wind-Tunnel Data for the X-24B Research Aircraft
Longitudinal and lateral-directional estimates of the aerodynamic derivatives of the X-24B research aircraft were obtained from flight data by using a modified maximum likelihooa estimation method. Data were obtained over a Mach number range from 0.35 to 1.72 and over an angle of attack range from 3.5deg to 15.7deg. Data are presented for a subsonic and a transonic configuration. The flight derivatives were generally consistent and documented the aircraft well. The correlation between the flight data and wind-tunnel predictions is presented and discussed.
Sim, Alex G.↗
Percentage levels of wind speed differences computed by using rawinsonde wind profile data from Cape Kennedy, Florida
Percentage levels of wind speed differences computed by using rawinsonde upper atmospheric wind profile data
WIND VELOCITY↗
Estimation of Longitudinal Unsteady Aerodynamics of a Wing-Tail Combination From Wind Tunnel Data
This paper presents an initial step toward model identification from wind tunnel data for an airliner configuration. Two approaches to modeling a transport configuration are considered and applied to both steady and large-amplitude forced-oscillation wind tunnel data taken over a wide range of angles of attack. Only limited conclusions could be drawn from this initial data set. Although model estimated time histories of normal force and pitching moment agree reasonably well with the corresponding measured values, model damping parameters did not, for some cases, have values consistent with small amplitude oscillatory data. In addition, large parameter standard errors implied poor information content for model structure determination and parameter estimation. Further investigation of the modeling problem for more general aerodynamic models is recommended with close attention to experiment design for obtaining parameters with high accuracy.
Murphy, Patrick C.↗
WINDPROF: Merged Best-Estimate Wind Profile Data – Nantucket (WFIP3 Campaign)
WINDPROF provides 10-minute wind and turbulence profiles, integrating Doppler lidars, wind profiling radars, and sonic anemometers across Northeast U.S. coastal/offshore sites during the WFIP3 campaign. Key data include wind speed, direction, vertical velocity, and turbulence parameters, with standardized quality control (e.g., instrument-specific thresholds and inter-instrument validation). Profiles are interpolated to a height grid (20 m spacing below 100 m; 30 m above) and include comprehensive uncertainty estimates. The Nantucket dataset covers February 2024–September 2025, offering reproducible methods for atmospheric research, model validation, and wind energy studies.
17 WIND ENERGY↗
Lidar / Processed Data
Wind energy research Note that the processed lidar data has the same metadata as the processed buoy data. These were once considered one dataset, but now the lidar data has been separated to form its own dataset.
17 WIND ENERGY↗
Partial reflection
Differential-absorption electron concentration and drifts wind data were collected on a daily basis along with daily winds data. The daily winds data are compared with the daily electron concentration data on the meridional prevailing wind are compared with the electron concentration. Results are briefly discussed.
Source record↗
An Investigation of a Full-Scale Model of the Republic XF-91 Airplane in the Ames 40- By 80-Foot Wind Tunnel: Pressure Data
Wind-tunnel tests of a full-scale model of the Republic XF-91 airplane were conducted to determine the distribution of pressure over the external wing fuel tank installation and over the vee tail and ventral fin. The data were obtained for a range of angles of attack and sideslip and elerudder deflection angles; the presentation is in tabular form.
Hunton, Lynn W.↗