The SAM II instrument, aboard the Earth-orbiting Nimbus 7 spacecraft, was designed to measure solar irradiance attenuated by aerosol particles in the Arctic and Antarctic stratosphere. This dataset collection contains 14 years of polar Arctic and Antarctic aerosol extinction profiles, atmospheric temperature and pressure data obtained from the Stratospheric Aerosol Instrument II (SAM II) on the NIMBUS 7 satellite.

The Institute of Meterological and Climate Research Dornier 128 aircraft data were collected at Chilbolton, Hampshire by instruments on the aircraft, between the 22nd of June 2005 and the 14th of July 2005. The dataset includes measurements of wind direction and wind speed, air density, and air temperature. Measurements taken by the Dornier 128 aircraft and stored in this dataset are: static pressure, uncorrected (hPa) barometric altitude (m) radarheight above ground (m) latitude (deg) longitude (deg) true air speed (m/s) velocity over ground (m/s) vertical velocity (m/s) radiation pyranometer top (W/m2) radiation pyranomter bottom (W/m2) radiation pyrgeometer top (W/m2) radiation pyrgeometer bottom (W/m2) air density (kg/m3) fast air temperature (deg Celsius) potential temperature (deg Celsius) filtered mixing ratio (g/kg) mixing ratio Lyman-Alpha (g/kg) wind component west-east (m/s) wind component south-north (m/s) vertical wind component (m/s) wind direction (deg) wind speed (m/s)

The data were collected by the Met Office’s Radiometrics TP/WVP-3000 which was deployed to Linkenholt on 13 June until 21 September 2005. The dataset contains plots of temperature, relative humidity, pressure, and rainfall amount. It was initially configured to view in the zenith direction with very high time resolution (~12 s). All channels also viewed the internal black body target for relative calibration, initially every 5 minutes. However, initially this did not take place between 11 – 13 UTC due to a configuration error, which was corrected on 8 July 2005. Prior to this date, the calibration of data around noon is prone to drift. The radiometer ran continuously in this mode until 20 July 2005, when it was re-configured to alternative between zenith views and internal black body calibration views in a 30 s cycle because of concerns over the drift in calibration over the previous 5 minute calibration period. There was a power outage on 2 August 2005 from 0730 – 0946 UTC when no radiometer data was available.

The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. This dataset contains meteorological data recorded by radiosondes launched in support of the DIAMET campaign. Data are from the Manchester radiosondes launched at Aberystwyth and from Met Office sondes at Albemarle, Camborne, Castor Bay, Herstmonceux, Lerwick and Lochranza.

The SAM II instrument, aboard the Earth-orbiting Nimbus 7 spacecraft, was designed to measure solar irradiance attenuated by aerosol particles in the Arctic and Antarctic stratosphere. The scientific objective of the SAM II experiment was to develop a stratospheric aerosol database for the polar regions by measuring and mapping vertical profiles of the atmospheric extinction due to aerosols. This database allows for studies of aerosol changes due to seasonal and short-term meteorological variations, atmospheric chemistry, cloud microphysics, and volcanic activity and other perturbations. The results obtained are useful in a number of applications, particularly the evaluation of any potential climatic effect caused by stratospheric aerosols. This dataset collection contains 14 years of polar Arctic and Antarctic aerosol extinction profiles, atmospheric temperature and pressure data obtained from the Stratospheric Aerosol Instrument II (SAM II) on the NIMBUS 7 satellite.

The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. This dataset contains temperature and pressure measurements from radiosondes.

The DIAMET project aimed to better the understanding and prediction of mesoscale structures in synoptic-scale storms. Such structures include fronts, rain bands, secondary cyclones, sting jets etc, and are important because much of the extreme weather we experience (e.g. strong winds, heavy rain) comes from such regions. Weather forecasting models are able to capture some of this activity correctly, but there is much still to learn. By a combination of measurements and modelling, mainly using the Met Office Unified Model (UM), the project worked to better understand how mesoscale processes in cyclones give rise to severe weather and how they can be better represented in models and better forecast. This dataset contains minute resolution meteorological measurements by the Met Office Automatic Weather Stations (AWS) during the DIAMET intensive observation campaigns.

Atmospheric temperature observations from the Armagh Observatory, founded in 1790 by Archbishop Richard Robinson. As well as astronomical observations various meteorological parameters have been recorded since 1794. If users wish to find data from other areas of work undertaken by the observatory they should visit the Armagh Observatory website. This dataset contains monthly measurements and summaries of air temperature, air pressure, rainfall, wind speed, wind direction, total cloud and hours of sunshine from an automatic weather station.

This dataset contains upper air sounding profiles of temperature, pressure, humidity, wind speed and wind direction measurements from the NCAS Vaisala Sounding Station unit 2 radiosonde lauches. The radiosondes were launched over Greenland and Iceland from the Alliance research ship for the Iceland Greenland seas Project (IGP). The Iceland Greenland seas Project (IGP) was an international project involving the UK, US a Norwegian research communities. The UK component was funded by NERC, under the Atmospheric Forcing of the Iceland Sea (AFIS) project (NE/N009754/1)

Meteorological data was collected by the University of Manchester at Langmuir ground station in the Magdalena Mountains, New Mexico, between July and August 2022 as part of the Deep Convective Microphysics Experiment (DCMEX) project. This dataset contains meteorological data from two ground meteorological stations. A Gill MaxiMet GMX600 meteorological station was installed at the Langmuir Laboratory main building (33.97495N, 107.18100W, ~3255 m) next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. A second meteorological station, a Vaisalla WTX536 meteorological station, was installed at the Langmuir Kiva-2 laboratory next to the Digitel aerosol filter sampler and provides measurements of wind speed, wind direction, temperature, humidity, pressure, and precipitation rate. The meteorological stations are supported by the University of Manchester scientists.