Data were collected from the 4th of April 2002 to the present by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and a full Doppler spectrum, and moments Z, v, and w.

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.

"Improving our ability to predict rapid changes in the El Nino Southern Oscillation climatic phenomenon" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00443 - Duration 1 Jan 2004 - 30 Sep 2007) led by Prof Alexander Tudhope of the University of Edinburgh, with co-investigators at the Scottish Universities Environment Research Centre, Bigelow Laboratory for Ocean Sciences, and the University of Reading. This dataset collection contains meteorology and ocean model outputs from FAMOUS model. The objective was to use a combination of palaeoclimate reconstruction from annually-banded corals and the fully coupled HadCM3 atmosphere-ocean general circulation model to develop an understanding of the controls on variability in the strength and frequency of ENSO, and to improve our ability to predict the likelihood of future rapid changes in this important element of the climate system. To achieve this, we targeted three periods:0-2.5 ka: Representative of near-modern climate forcing; revealing the internal variability in the system.6-9 ka: a period of weak or absent ENSO, and different orbital forcing; a test of the model's ability to capture externally-forced change in ENSO.200-2100 AD: by using the palaeo periods to test and optimise model parameterisation, produce a new, improved, prediction of ENSO variability in a warming world. Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.

Cloud base and backscatter data from the Met Office's Wattisham Cl31 ceilometer located at Wattisham, Suffolk. 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.

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. This dataset contains measurements from climate simulations from UKMO of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.

The Sparsholt College-South Wonston water station radio links data describe signal levels of several links at a frequency of 54 Ghz, which covered a path of 5km from the South Wonston water tower near the A34 to Sparsholt College. The data were collected between October 2002 and April 2005. The radio link between Sparsholt college and the Wonston water tower is used to investigate the effects of rain and sleet on radio signals.

Data were collected by the Chilbolton Facility for Atmospheric and Radio Research (CFARR) Visible Radiometer from 10th of May 2001 to the present at Chilbolton, Hampshire. The dataset contains measurements of high accuracy total global, or diffuse sky, solar radiation measurement research on a plane/level surface, for extreme temperature environments.

"The Role of Air-Sea Forcing in Causing Rapid Changes in the North Atlantic Thermohaline Circulation" project was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Round 1 - NER/T/S/2002/00427 - Duration 16 Feb 2004 - 15 Oct 2007) led by Dr Simon Josey of National Ocenaography Centre, with co-investigators also at the National Oceanography Centre. This dataset collections contains analysis of coupled model output of surface forcing variability in ocean circulation from the Fast Ocean Rapid Troposphere Experiment (FORTE). Rapid Climate Change (RAPID) was a £20 million, six-year (2001-2007) programme for the Natural Environment Research Council. The programme aimed to improve the ability to quantify the probability and magnitude of future rapid change in climate, with a main (but not exclusive) focus on the role of the Atlantic Ocean's Thermohaline Circulation.

Cloud base and backscatter data from the Met Office's Jenoptik CHM15k Nimbus ceilometer located at South Uist, Outer Hebrides. 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.

Data from the National Centre for Atmospheric Research Community Climate System Model, version 3.0 simulations