QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains decadal surface meteorology climatologies from CRU TS3.0 data 1901- 2000. Data includes parameters such as temperature, water vapour and precipitation.

This dataset contains coupled physical-biogeochemical ocean second generation Institut Pierre-Simon Laplace (IPSL-CM5A-LR) simulation outputs using the 1 degree NEMO-HadOCC model. The model output contains 3D Digital Image Correlation (DIC), alkalinity, temperature and salinity datasets at annualy-averaged frequency and monthly averaged surface ocean CO2 fugacities and fluxes. Job IDs included in this dataset are: IPSL-CM5A-LR surface fluxes: RCP85: u-ao559 (copy from u-ao419, change model names, restart + reduce walltime for nemo to test) Failed in nemo_cice 20431201: v10 not found in y2044 (and same for the years after) => download,merge,transfer,re-run => fixed RCP26: u-ao562 (copy from u-ao559 and change rcp26 surface fluxes) Constant atm CO2: RCP85: u-ao563 (copy from u-ao559 with cst atm changes) RCP26: u-ao564 (copy from u-ao562 with cst atm changes) This data was collected in support of CURBCO2: Carbon Uptake Revisited - Biases Corrected using Ocean Observations, a Natural Environment Research Council (NERC) funded project (NERC Grant NE/P015042/1). The overarching aim of this project was to provide UK and international governments with the best possible impartial information from which they can plan how best to work towards the global warming targets (the 'Paris Agreement') set at the Paris Climate Conference in December 2015.

The University of Leeds Sodar 2 dataset contains measurements of the scattering of sound waves by atmospheric turbulence at Alice Holt, Hampshire over the period from the 22nd of June 2005 to the 22nd of August 2005. The dataset contains measurements of wind speed at various heights above the ground, and the thermodynamic structure of the lower layer of the atmosphere.

The Campbell Scientific PWS100 present weather sensor deployed at the Chilbolton Observatory, Hampshire, detects and classifies precipitation by observing the scattering of a laser beam 20 degrees off the forward direction in the horizontal and vertical planes. The detected signals depend on the size, shape, optical properties, concentration and velocity of the particles. The instrument is mounted approximately 10m above ground on the roof of a cabin at the Chilbolton Observatory site. It is operated continuously. Data include: counts as a function of size of hydrometeors in 300 bins from 0.1 to 30.0 mm, the number of hydrometeors in 9 type categories. visibility, air temperature, relative humidity, rainfall rate, rainfall accumulation, average hydrometeor velocity, average hydrometeor size and reports the World Meteorological Organisation (WMO) present weather code for the site. Data are archived as netCDF files.

Measurements of troposhperic attenuation (excess and total) made at Sparsholt in Hampshire, UK using the ITALSAT satellite F1 beacon signal at 50 GHz. ITALSAT F1 (owned and operated by the Italian Space Agency) was in geostationary orbit at 13 degrees east, and it could be seen from the receiving station at an elevation angle of 30 degrees. The received signal was vertically polarised and was sampled once a second. North-south tracking of the satellite with the beacon receiver maintained ~20dB of dynamic range thought of the measurement period. The method applied to remove the nonatmospheric changes of the beacon signal and to establish the reference level from which to measure the excess and total attenuation is described in [Ventouras et.al., Long-term statistics of tropospheric attenuation from the Ka/U band ITALSAT satellite experiment in the United Kingdom, Radio Sci.,41,RS2007,doi:10.1029/2005RS003252]. The accuracy of fade level retrieval is estimated to be ~+/-0.5dB

ACCACIA was part of the NERC Arctic research programme. (NERC Reference: NE/I028858/1). ACCACIA aimed to improve our understanding of aerosol-cloud interactions in the Arctic, and the potential changes and feedbacks that may result from decreasing Arctic sea ice cover in the future. In situ measurements have been made during two field campaigns utilising ship-based measurements of surface aerosol sources and airborne measurements of aerosol and cloud microphysical properties, boundary layer dynamics, and radiative forcing. The observations have been complemented by modelling studies on a range of scales: from explicit aerosol and cloud microphysics process modelling, through large eddy simulation and mesoscale models, up to global climate models. This dataset contains meteorological data measured by the Meteorological Airborne Science INstrumentation (MASIN) onboard the British Antarctic Survey Twin Otter aircraft in the North Sea and Svalbard, Norway during the Aerosol Cloud Coupling and Climate Interactions in the Arctic (ACCACIA) project (2013).

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.

Data from the National Center for Atmospheric Research (NCAR) Parallel Climate Model (PCM) simulations

Cloud base and backscatter data from the Met Office's Linton On Ouse Cl31 ceilometer located at Linton On Ouse, North Yorkshire. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.

Cloud base and backscatter data from the Met Office's Eskdalemuir Cl31 ceilometer located at Eskdalemuir, Dumfriesshire, Scotland. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed.