This dataset contains output data from a number of models from the UK Met Office Hadley Centre which was processed into text files at the Climate Research Unit at the University of East Anglia. The data extraction was intended for use by the Climate Impacts Community (and was funded by the UK Departement of Environment Food and Rural Affairs, Defra). Output from each model is stored in a separate directory in the BADC archive, and the majority of the data comes from experiments performed using the Hadley centre Coupled Model, Version 3 (HadCM3). Note that is dataset is kept for historical purposes only. More consistent and complete HadCM3 data is available from the main British Atmospheric Data Centre (BADC) HadCM3 archive.

This dataset collection contains data collected from the Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) project. MOCCHA aimed to study aerosol processes, the contribution of marine microbiology to their formation and properties, and their impact on the life cycle of low-lewel clouds in the central Arctic as part of the Arctic Ocean 2018 (AO2018) expedition. AO2018 took place between 1 August and 21 September 2018, departing from and returning to Longyearbyen. The expedition was centered around a 4-week long intensive observation period, where e icebreaker Oden was moored to an ice flow and drifted passively with the ice.

The EMERALD projects were airborne measurement campaigns designed to study dynamical, microphysical and infra-red radiative properties of cirrus clouds, using both in-situ and remote measurement techniques. The dataset contains static air temperature, static air pressure, relative humidity, water vapour mixing ratio, and ozone mixing ratio. These data are part of the NERC Clouds, Water Vapour and Climate (CWVC) programme.

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.

Standard resolution radiosonde data from worldwide upper air stations over the period 1997 - present (Some European stations are available from 1990). The dataset consists of vertical profiles of temperature, dew-point temperature, wind speed and wind direction from the surface to approximately 20-30 km. Data are reported up to four times daily. The data are provided by the Met Office.

The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use.

The Continuum Absorption in the Visible and Infrared and its Atmospheric Relevance (CAVIAR) campaign will use instruments on board the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft to determine the strength and temperature dependence of the water vapour continuum over a range of wavelengths. In doing so, the aim is to determine whether water vapour dimers, or the far wings of monomer lines, or a combination of both, are responsible for the continuum absorption, and put the continuum on a more secure theoretical footing.

The Contrail Forecast Verification Experiment (COVEX) was a Met Office experiment to validate the new contrail forecasting techniques based on engine parameters and environmental conditions. It was based on a one-flight experiment on board the Facility for Airborne Atmospheric Research (FAAM) aircraft, that took place in December 2004.

The ESA Sea Surface Temperature Climate Change Initiative (ESA SST_cci) datasets accurately map the surface temperature of the global oceans over the period 1981 to 2016 using observations from many satellites. The data provide independently quantified SSTs to a quality suitable for climate research. The latest version (v2.1) of the data are described in the data paper: Merchant, C.J., Embury, O., Bulgin, C.E., Block T., Corlett, G.K., Fiedler, E., Good, S.A., Mittaz, J., Rayner, N.A., Berry, D., Eastwood, S., Taylor, M., Tsushima, Y., Waterfall, A., Wilson, R., Donlon, C. Satellite-based time-series of sea-surface temperature since 1981 for climate applications, Scientific Data 6:223 (2019). http://doi.org/10.1038/s41597-019-0236-x Data are made freely and openly available under a Creative Commons License by Attribution (CC By 4.0) https://creativecommons.org/licenses/by/4.0/ . To comply with the attribution aspect, please cite the above reference and the dataset citation given on the relevant dataset page.

Earth-system modelling data from the UK-Japan Climate Collaboration (UJCC). The project is a joint project between the Hadley Centre (DEFRA) and the NCAS-CGAM (Centre for Global Atmospheric Modelling) at the University of Reading. UJCC makes use of a broad group of models in order to systematically explore the role and value of resolution in climate system research. The dataset comprises of UJCC 30 year simulations from models at resolutions of either (1.25 lat x 1.875 lon) or (0.83 lat x 1.25 lon) with differing degrees of atmosphere-ocean coupling (1 degree ocean or 1/3 degree ocean). The dataset also includes NUGAM (Nihon-UK Global Environmental Model) Atmosphere only simulations and NUGEM Coupled atmosphere and ocean simulations which are both at the same resolution (0.83 lat x 0.56 lon, corresponding to ~60 km in mid-latitudes).