The Met Office's research unit based in Cardington, Bedfordshire, study boundary-layer meteorology and surface processes to help with the development of numerical weather prediction methods. Surface meteorological data and high resolution radiosonde data are collected from the Met Office's research site and elsewhere. The dataset contains recorded surface meteorology and radiation measurements timed at 1, 10 and 30 minute intervals and measured by instruments mounted on 10, 25 and 50 metre masts.

"The Mass balance and freshwater contribution of the Greenland ice sheet: a combined modelling and observational approach" project, which was a Natural Environment Research Council (NERC) RAPID Climate Change Research Programme project (Joint International Round - NE/C51631X/1 - Duration 1 Jun 2005 - 30 Nov 2008) led Prof Jonathan Bamber of the University of Bristol, with co-investigators at the Nansen Environmental & Remote Sensing Center, Norway, the Royal Netherlands Meteorology Institute and Dr MR van den Broeke, University of Utrecht, Netherlands. The dataset quantifies how, where and when the Greenland ice sheet has fed fresh water through iceberg calving, subglacial melting and meltwater runoff into the surrounding ocean during the last half century. This dataset contains precipitation, evaporation and run off model outputs.

CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains LMDZrepro model output from the WMO 2006 DYNAMICS experiment run by the Institut Pierre Simon Laplace, France.

CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains AMTRAC model output from the WMO 2006 REF2 experiment run by the Geophysical Fluid Dynamics Laboratory.

CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains MRI model output from the WMO 2006 DYNAMICS experiment run by Meteorological Research Institute (MRI), Tsukuba, Japan.

The Airborne Arctic Stratospheric Expedition (AASE) which was based in Stavanger, Norway during January and February, 1989, was designed to study the production and loss mechanisms of ozone in the north polar stratospheric environment, and the effect on ozone distribution of the Arctic polar vortex and of the cold temperatures associated with the formation of Polar Stratospheric Clouds (PSC). This dataset contains measurements from the meteorological meteorological measurement system on the NASA ER-2 Aircraft.

The Total Ozone Mapping Spectrometer (TOMS) is an instrument built and operated by the National Aeronautics and Space Administration (NASA). The instrument uses backscattered ultraviolet radiance to infer total column ozone measurements. The dataset consists of daily gridded averages of total ozone covering the entire globe, in the form of images, from NASA NIMBUS 7, Meteor-3, Earth Probe and ADEOS satellites. Data is from 1978 to 2006. The Ozone Monitoring Instrument (OMI) on the AURA spacecraft, OMI data of ozone are now available for the entire OMI mission. In addition to ozone data, OMI data for aerosol and reflectivity are available. These datasets are public.

Blending a sea-surface temperature (SST) dataset with land air temperature makes an implicit assumption that SST anomalies are a good surrogate for marine air temperature anomalies. It has been shown that this is the case, and that marine SST measurements provide more useful data and smaller sampling errors than marine air temperature measurements would. So blending SST anomalies with land air temperature anomalies is a sensible choice. This dataset contains monthly and seasonal blended sea-surface temperatures (MOHSST6) with land air temperature data from the Climatic Research Unit (CRU) at the University of East Anglia (P.D. Jones). Data are represented on 5 deg. grids from 1856 to May 2002. The data were provided by the Met Office.

CCMVal was a large international effort to improve understanding of Chemistry-Climate Models (CCMs) and their underlying GCMs (General Circulation Models) through process-oriented evaluation, along with discussion and coordinated analysis of science results. The first round of CCMVal (CCMVal-1) evaluated only a limited set of key processes in the CCMs, focusing mainly on dynamics and transport. This dataset contains CCSR/NIES model output from the WMO 2006 DYNAMICS experiment run by the National Institute for Environmental Studies (NIES), Tokyo, Japan.

The Meteorological Research Flight (MRF) was a Met Office facility, which flew a well-instrumented C-130 Hercules aircraft for atmospheric research purposes. This dataset contains airborne atmospheric and chemistry measurements taken on board the Met Office C-130 Hercules aircraft flight A757 for the Atmospheric Chemistry and Transport of Ozone in the upper troposphere-lower stratosphere (UTLS) (ACTO) campaign. The flight was located over the North Atlantic.