The Sparsholt College-South Wonston water station radio links data describe signal levels of several links at a frequency of 56 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.

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 LLNL 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.

This dataset contains nitrate and nitric acid simulation data to explore the sensitivity of atmospheric nitrate concentrations to nitric acid uptake rate using the Met Office’s Unified Model. The files are seperated into directories by simulation name - 1. A control simulation with no nitrate aerosol (CNTL); 2. A simulation with NH4·NO3 reaching equilibrium instantaneously (INSTANT); 3. A simulation with the HNO3 uptake rate set to 0.193 (FAST); and 4. A simulation with the HNO3 uptake rate 0.001 (SLOW). All simulations are performed with the Met Office Unified Model (UM or MetUM) in an N96L85 resolution.

Cloud base and backscatter data from the Met Office's Vaisala CL31 ceilometer located at RAF Northolt, near Heathrow, southern England. 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 Vaisala CL31 instrument replaced the Vaisala Ct25k instrument previously deployed at the site in October 2016.

Advanced Along-Track Scanning Radiometer (AATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset contains the Advanced Along-Track Scanning Radiometer (AATSR) on ESA ENVISAT satellite Gridded Surface Temperature (GST) product. These data are the Level 2 full spatial resolution (approximately 1 km by 1 km) geophysical product derived from Level 1B product and auxiliary data. The contents of the pixel fields, which are a mixture of Top of Atmosphere (TOA) and surface brightness temperature/radiance, are switch-able depending on the surface type. The third reprocessing was done to implement updated algorithms, processors (the IPF Processor 6.05 from the IPF Processor 6.01), and auxiliary files.

The Convective Storm Initiation Project (CSIP) aimed to further the understanding of the mechanisms responsible for the initiation of precipitating convection in the maritime environment of southern England; i.e. to understand why convective clouds form and develop into precipitating clouds in a particular location. Data have been collected from the 13th June 2005 to the 25th August 2005 by the Ultra-violet Raman lidar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and humidity mixing ratios. Plots of the attenuated backscatter coefficient, and of the humidity mixing ratios, at different heights are also available.

The objective of the ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project was quantifying the direct effect of aerosols on the Earth's radiation budget, via scattering and/or absorption of radiation. This daily data was a subset of the GlobAEROSOL climatology from the Advanced Along Track Scanning Radiometer (AATSR) instrument on-board Envisat, data for the period 24 July 2002 to 25 February 2009. This dataset contains measurements of the following parameters over the globe: Aerosol optical thickness taken at 550nm and 870nm, Angstrom Coefficient, Earth surface albedo taken at 550nm, 670nm, 870nm, and 1600nm. Upwelling spectral radiance in the air (measured reflectance) at 550nm, 670nm, 870nm, 1600nm, and 3700nm. Brightness temperature taken at 11000nm and 12000nm. Cloud area fraction Aerosol speciation (from a selection of 5 pre-defined types:maritime, continental, desert, urban/polluted and biomass burning).

"To what extent was the Little Ice Age a result of a change in the thermohaline circulation?" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C509507/1 - Duration 1 Aug 2005 - 31 Jul 2008) led by Dr Tim Osborn of the University of East Anglia, with co-investigators at the University of East Anglia and Royal Netherlands Meteorology Institute. The dataset contains radiative forcing model output from the HadCM3 model.

"To what extent was the Little Ice Age a result of a change in the thermohaline circulation?" project. This was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C509507/1 - Duration 1 Aug 2005 - 31 Jul 2008) led by Dr Tim Osborn of the University of East Anglia, with co-investigators at the University of East Anglia and Royal Netherlands Meteorology Institute. The dataset contains negative North Atlantic Oscillation model output from the HadCM3 model.

Data from the Meteorological Research Institute MRI-CGCM2.3.2 simulations