The European AQUA Thermodynamic Experiment (EAQUATE) was a study of the atmosphere, the land surface and the ocean surface by means of a range of airborne high resolution souders, in conjunction with observations from the Aqua and Aura satellites. The EAQUATE archive held at the British Atmospheric Data Centre (BADC) includes data collected aboard the Facility for Airborne Atmospheric Measurements (FAAM) Bae 146 aircraft based at Cranfield, UK, during four flights in September 2004.

Skin Sea Surface Temperature data from the (A)ATSR Validation Campaign by SISTeR. The prime objective of the (A)ATSR mission is to return accurate measurements of the global sea surface temperature. To ensure the accuracy of the measurement, there have been joint efforts to validate the data. One of these efforts is the (A)ATSR Validation Campaign which involves the deployment of the Scanning Infrared Sea surface Temperature Radiometer (SISTeR). The SISTeR is a self-calibrating radiometer that measures the skin sea surface temperature. The SISTeR was mounted on MS Color Festival and MS Prinsesse Ragnhild to return skin sea surface temperature in the North Sea in 2006, and was on-board RMS Queen Mary 2 collecting data from the Atlantic Ocean, Indian Ocean and Western Pacific between 2010 and 2014. Data was collected continuously throughout the cruises unless severe weather conditions required the instrument to be protected, which results in the prevention of the data collection.

This dataset collection contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids and Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data. This experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.

The Met Office NU-WAVE (Ice Nuclearisation in Wave Clouds) project aimed at studying ice crystal nucleation in orographic wave clouds. NU_WAVE was to study the nucleation of ice crystals in orographic wave clouds and its dependence on the physical and chemical properties of the input aerosol. The primary aim was to study heterogeneous nucleation processes acting in the temperature range 0 to -35C (but principally -15 to -35C). Where possible, however, the influence of homogeneous nucleation a temperatures colder than -35C were also studied. It was based on a 2-flight campaign (November 2004) on board the FAAM aircraft. Flights involved penetration of single wave clouds, trains of wave clouds and extensive sheets of cirrus formed by orographic effects.

This dataset collection contains in situ atmospheric and aerosol measurements collected at Summit Station, Greenland. These data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project. Since 2010, the ICECAPS project has been monitoring cloud-atmosphere-energy interactions at Summit Station, in the centre of the Greenland Ice Sheet (GrIS), using a comprehensive suite of ground-based remote sensing instruments and twice daily radiosonde profiles. In 2018, the Aerosol Cloud Experiment (ACE) expansion of ICECAPS saw the addition of a new series of instruments to measure surface aerosol concentrations and turbulent heat fluxes over the ice sheet. Combined with the original ICECAPS instrumentation, the ACE instruments allow for the study of cloud-aerosol-energy interactions over the central GrIS. This dataset collection contains the measurements collected as part of the ACE component of ICECAPS-ACE, which includes the following: 1) Surface-temperature-profile: A near surface temperature profile from four temperature/ humidity sensors distributed on the 15 m tower at Summit. 2) Surface-moisture-profile: A near surface moisture profile from four temperature/ humidity sensors distributed on the 15 m tower at Summit. 3) Surface-winds-profile: A near surface wind profile from four sonic anemometers distributed on the 15 m tower at Summit. 4) Snow-height: The distance to the snow surface from the lowest level of instruments on the 15 m tower at Summit, detected by a sonic-ranging sensor. 5) Skin-temperature: The brightness temperature of the snow surface as detected by an infrared radiation thermometer. 6) Aerosol-concentration: The concentration of condensation nuclei (> 5nm diameter) measured at the surface using a Condensation Particle Counter. 7) Aerosol-size-distribution: The size-resolved concentration of surface aerosol particles between 0.25 and 6.5 um in diameter measured using an Optical Particle Counter. 8) Flux-components: High resolution temperature, humidity and wind fluctuations that can be used to estimate turbulent fluxes using eddy covariance, located at two levels on the 15 m tower at Summit. 9) Flux-estimates: Estimates of turbulent heat and momentum fluxes by applying the eddy covariance technique to flux-components. Other ICECAPS data are available here: https://psl.noaa.gov/arctic/observatories/summit/

A collection of Version 2.0 datasets produced by the Ocean Colour project of the ESA Climate Change Inititative (CCI). The Ocean Colour CCI is producing long-term multi-sensor time-series of satellite ocean-colour data with a particular focus for use in climate studies. Data products being produced include: phytoplankton chlorophyll-a concentration; remote-sensing reflectance at six wavelengths; total absorption and backscattering coefficients; phytoplankton absorption coefficient and absorption coefficients for dissolved and detrital material; and the diffuse attenuation coefficient for downwelling irradiance for light of wavelength 490 nm. Information on uncertainties is also provided. This dataset collection refers to the Version 2.0 data products held in the CEDA archive and available from ftp://anon-ftp.ceda.ac.uk/neodc/esacci/ocean_colour/data/v2-release . Links to the individual datasets that make up this collection are given in the record below. Please note, version 3.0 data products are now currently available directly from the Ocean Colour CCI team (see link in the documentation section).

The Global Ocean Surface Temperature Atlas Plus (GOSTAplus) contains maps of Sea Surface Temperature (SST) climatologies and anomalies, Night Marine Air temperature climatologies and anomalies and Sea Ice coverage spanning the period 1851-1995. Dataset includes gridded, global SSTs from 1951-1990 and Sea Ice coverage from 1903 to 1994. The data are provided by the Met Office. Updated version of some data also available on request.

Historical and future simulations of sea surface elevation for UK waters for 1970-2100 produced by the Met Office for UK Climate Projections 2018 (UKCP2018). The data is available at hourly temporal resolution.

ACID-PRUF was a three year NERC directed programme that investigated the complex interaction of aerosols and clouds. The overall aims of ACID-PRUF were to reduce the uncertainty in the radiative forcing associated with the aerosol indirect effects though a targeted laboratory and modelling programme. This dataset collection contains measurements of freezing fraction of water solution droplets-solute and suspended matter during the immersion freezing of pollen extracts (birch pollen, Betula fontinalis occidentalis, Sigma-Aldrich, P6895-1G), with a new cold electrodynamic balance (CEDB).

Global and regional composite (Level 3) products of the MEdium Resolution Imaging Spectrometer (MERIS) Level 2 geophysical data are generated by the UK Multi-Mission Product Archive Facility (UK-MM-PAF)/Infoterra Ltd (Part of Astrium GEO-Information Services). One of these products: MERIS Terrestrial Chlorophyll Index (MTCI) data are available from NEODC. The products are in GEOTIFF format, on latitude-longitude geocoded grids, and are accompanied by an XML-metadata file and a JPEG browse image.