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University of Salford

17 record(s)

 

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  • Data comprise audio files captured using a Wildlife Acoustics SM3 Songmeter located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens) in the abandoned village of Buryakovka in the Chernobyl Exclusion Zone, Ukraine. A single continuous recording of twelve hours of audio from midday until midnight on the 25th June 2015 was manually annotated by an expert (using Raven Pro interactive sound analysis software). The dataset comprises the resultant five wave files (stereo .wav sampled at 48 kHz) and five annotation files (text files with the same name as the associated wave file). Full details about this dataset can be found at https://doi.org/10.5285/be5639e9-75e9-4aa3-afdd-65ba80352591

  • This dataset contains Doppler lidar measurements from the ISB52 Improved Air Quality Forecasting project. The aim of the project was to develop a better understanding of air flow within the atmospheric boundary layer by gathering 3-dimensional air flow information using two identical Doppler lidars supplied by Qinetic and the University of Salford. The project compared parameters derived from the dual Doppler lidar measurements with inputs used in the UK Met Office air quality forecasting model. Field experiments were undertaken in March 2003 at Malvern and in July 2003 at RAF Northolt, West London, UK.

  • The Shoeburyness Field Trial: Investigation of Meteorological Effects on the Sound Propagation from a Helicopter Operating Near a Land Sea Interface Project was a QinetiQ applied research programme 3G23, funded by Ministry of Defence (MOD). The project duration was from April 2004 to March 2007 and had the aim to investigate noise modelling of helicopters with regard to long range sound propagation. The trial sought to understand more fully the meteorological effects on sound propagation over a land sea interface. This dataset collection contains measurements from the automatic weather station, which was used to gather standard meteorological measurements. The Universities Facility for Atmospheric Measurement (UFAM) automatic weather station was operated by the University of Salford.

  • The Shoeburyness Field Trial: Investigation of Meteorological Effects on the Sound Propagation from a Helicopter Operating Near a Land Sea Interface Project was a QinetiQ applied research programme 3G23, funded by Ministry of Defence (MOD). The project duration was from April 2004 to March 2007 and had the aim to investigate noise modelling of helicopters with regard to long range sound propagation. The trial sought to understand more fully the meteorological effects on sound propagation over a land sea interface. This dataset collection contains measurements from the Universities Facility for Atmospheric Measurement (UFAM) Doppler lidar system, which was used to obtain profiles of the radial velocity to determine turbulence measurements at points along the aircraft flight path.

  • The University of Salford sonic anemometer 2 data describe observations taken by a 7 meter sonic anemometer at Faccombe wind turbine field site, Hampshire. The dataset contains measurements of wind speed collected from 21st July 2005 until 26th August 2005. The dataset contains measurements of the following parameters: Latitude; the latitude of the sonic anemometer (degrees north) Longitude; the longitude of the sonic anemometer (degrees east) Altitude; the altitude of the sonic anemometer base above mean sea level (m) Height ; the height of the sonic anemometer head above ground level (m) Measurement rate; the measurement rate of the sonic anemometer, set at either 1 or 10 Hz Sonic Orientation; the orientation of the sonic coordinate system, clockwise, to convert from sonic to meteorological coordinates (degrees) Time; time in seconds from midnight UTC for each measurement (s) X wind; the wind speed along the orthogonal x direction (m s-1) Y wind; the wind speed along the orthogonal y direction (m s-1) Upperward air velocity; the wind speed along the orthogonal z direction (m s-1) Sonic virtual temperature; the sonic virtual temperature, average between the three non orthogonal sonic axes, related to the speed of sound (K) The sonic anemometer is a Campbell Scientific CSAT3 using a CR5000 datalogger. The 7 m sonic was mounted on a Clark QTM mast.

  • The University of Salford automatic weather station data describe observations made every 5 seconds with the data stored every one minute and 10 minutes at Faccombe wind turbine field site, Hampshire, form the 3rd of June 2005 until the 26th of August 2005.. The dataset contains measurements of the following parameters: Average air temperature Average dew point (measured from 11:54 BST 22nd June 2005) Average relative humidity Average net radiation Average wind speed Maximum wind speed Time of maximum wind speed Total rainfall Average pressure Average wind direction Minimum wind direction Maximum wind direction Average battery Two jpeg images files have been produced from the AWS data for each day from 3rd June 2005 (start of CSIP field project) until 26th August 2005 (end of CSIP field project). There are two image files, the first image file listed below contains plots of the windspeed, pressure and rainfall with time for a particular day. The second image file contains air temperature, relative humidity and net radiation plots with time for a particular day. The weather station consists of a Campbell Scientific 2 m tripod with a CR10X datalogger. Weather station sensors include a MP100A temperature and relative humidity probe, a A100L2 low power anemometer, a W200P potentiometer wind vane, a NR-Lite Net Radiometer, a RPT410F barometric pressure sensor and a ARG100 Tipping bucket rain gauge.

  • The Universities' Facility for Atmospheric Measurement (UFAM) intercomparison field campaign took place in September 2002 at the Met Office Meteorological Research Unit (MRU), Cardington. The dataset contains measurements of wind speed and direction and turbulence parameters made with the UFAM doppler lidar operated by the University of Salford. These data are in netCDF and are publicly available.

  • Universities Weather Research Network (UWERN) Urban Meteorology Programme (URBMET) was a Natural Environment Research Council (NERC) Urban Regeneration and the Environment (URGENT) Air project (GST/02/2231 - Duration: 1/01/1999 - 30/6/2002) led by Dr Stephen Belcher, University of Reading. This dataset contains wind LiDAR measurement from the University of Salford.

  • The University of Salford radiometer data describe observations taken by microwave radiometer that was situated at the Faccombe wind turbine field site, Hampshire and collected data from 24th June 2005 until 26th August 2005. T The dataset contains measurements of the following parameters: Liquid Water Path (LWP) time series – 1 second measurement time Integrated Water Vapour (IWV) time series – 60 seconds measurement time Humidity Profile (full troposphere) (HPC) – 60 seconds measurement time Temperature Profile (full troposphere) (TPC) – 60 seconds measurement time Temperature Profile (boundary layer) (TPB) – 200 s measurement time A boundary layer temperature profile was taken every 10 minutes which took 200 seconds to complete. When not operating a boundary layer scan, the radiometer operated in zenith mode and measurements of LWP, IWV and the tropospheric temperature and humidity profiles were made. Calibrations were performed every 20 minutes, 6 hours and 24 hours. The boundary layer temperature measurements (0 – 2000 m) have a vertical resolution of 50 m. The tropospheric temperature measurements (0 – 10000 m) have a vertical resolution of 200 m. The tropospheric humidity profiles (0 – 6000 m) have a vertical resolution of 200 m (0 – 2000 m) and 400 m (2000 – 6000 m). Two jpeg images files have been produced from the radiometer data for each day from 24th June 2005 until 26th August 2005. The first image file contains separate profiles of temperature up to 2 km and 10 km and profiles of absolute and relative humidity up to 10 km. The second image file contains a time series of the integrated water vapour and liquid water path.

  • The University of Salford photograph data are digital photographs taken approximately every 30 minutes at the Faccombe wind turbine site, Hampshire. The dataset contains photographs taken on four days between the 11th of August 2005 and 25th of August 2005. The latitude and longitude of the field site is N 51°19.51’ and W 1°26.46’ respectively. Photographs were taken approximately every 30 minutes and the pictures are orientated to a bearing of 310°.