MOHSST, (Met Office Historical Sea-Surface Temperature) is a gridded dataset of sea-surface temperature anomalies covering the period 1856-2006. MOHSST has now been superceeded by HadSST2. We now recommend use of HadSST2 instead of MOHSST for all purposes. MOHSST is only still available in case it is needed for direct comparison with earlier work where MOHSST was used. MOHSST is produced by taking in-situ measurements of SST from ships and buoys, rejecting measurements which which fail quality checks, converting the measurements to anomalies by subtracting climatological values from the measurements, and averaging the resulting anomalies on a 5 by 5 degree monthly grid. Up to 1996 the measurements used are those in the U.K. Marine Data Bank; more recent years use data coming in through the GTS. After gridding the anomalies, bias corrections are applied to remove spurious trends caused by changes in SST measuring practices, and the data are smoothed to reduce noise. The data were provided by the Met Office Hadley Centre.

MOHMAT, (Met Office Historical Marine Air Temperature) is a gridded dataset of marine air temperature anomalies covering the period 1856-2006. The current version of the dataset is MOHMAT4, which is described in reference below (under Doc tab). MOHMAT is produced by taking in-situ measurements of MAT from ships and buoys, rejecting measurements which fail quality checks, converting the measurements to anomalies by subtracting climatological values from the measurements, and averaging the resulting anomalies on a 5 by 5 degree monthly grid. Note that only night-time data are used, because day-time data are corrupted by heat island effects. Up to 1996 the measurements used are those in the U.K. Marine Data Bank; more recent years use data coming in through the GTS. MOHMAT is no longer updated. After gridding the anomalies, bias corrections are applied to remove spurious trends caused by changes in ship deck heights and various unusual operational practices, and the data are smoothed to reduce noise. The data are 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 WACCM model output from the WMO 2006 REF2 experiment run by the National Center for Atmospheric Research (NCAR).

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 A751 for the Atmospheric Chemistry and Transport of Ozone in the upper troposphere-lower stratosphere (UTLS) (ACTO) campaign. The flight was a transit from Boscombe to Prestwick. The main purpose was to investigate a filament of air (with UTLS origins), which had been apparent on the PV forecasts from ECMWF (interpretation by John Methven). The flight was very successful. In particular, the filament of air was located with relative ease. The filament was initially traversed during the ascent to the first level run. The filament position was then confirmed from the water vapour image, details of which were sent to the aircraft via satcom. A rectangular flight plan was carried out at FL230, with legs approximately along the axis of the filament, across the filament and along the outside of the filament. A triangular pattern was flown at the subsequent level, with the final leg running at a slight angle across the filament, such that the edge of the filament was crossed slowly. The filament was apparent in many of the measurements: low humidity, low CN, high ozone (up to around 100ppb), higher PCASP aerosol and high NOy. Other features were apparent near the filament region including air parcels having some evidence of more recent pollution (higher NO and NO2). Hence, further investigation will be required to understand the origins of these parcels. A number of flask samples (37) were also collected for subsequent analysis, There were a few instrument errors prior to flight. The CO and the HCHO were both unserviceable and the FWVS was not fitted. It is hoped that some of the other parameters may be used as tropospheric tracers instead of CO (aerosols, Leeds GC hydrocarbons, bottle sample-hydrocarbons (including methane), bottle sample GC-MS analysis and possible bottle sample CO). Meteorology The meteorological situation was dominated by a large ridge of high pressure, stretching from the Azores to Scandinavia. A weak warm front was analysed on the midday Met. Office Chart, oriented from SW to NE, stretching from 50N, 15W to Scandinavia. There was little cloud associated with the front: mainly a line of stratocumulus with some embedded cumulus (the largest having tops at 25,000ft). The main features appeared to be marked by a gradient in humidity, which was apparent on the water vapour satellite image. "

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 WACCM model output from the DYNAMICS Ref2.3 experiment run by the National Center for Atmospheric Research (NCAR).

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 ULAQ model output from the WMO 2006 REF2 experiment run by the University of L'Aquila, Italy.

A Vaisala Radian LAP3000 915MHz wind profiler has been permanently located at the Met Office's Camborne field site and operational since 1998. This was the first profiler of its type to be installed in the UK and is an integral part of the Met Office's UK "Operational Upper Air Network." Operating at 915 Mhz, it provides high resolution wind information from just above the surface (around 300m) up to a maximum of 8 km, depending on the atmospheric conditions. The site is located at 50.130 N, 5.1 W and a height of 88 m above mean sea-level and has a WMO id of 03807. The instrument's height resolution is 60/200 m depending on the operational mode. It has a beam angle of 15.0 degrees and is operated with an averaging period of 30 minutes. This dataset contains vertical wind profiles from the Vaisala Radian LAP3000 915MHz wind profiler located at Camborne.

The UK daily temperature data describe maximum and minimum temperatures (air, grass and concrete slab) measured over a period of up to 24 hours. The measurements are recorded by observation stations across the UK and transmitted within NCM or DLY3208 or AWSDLY messages. The data span from 1853 to present.

The UK Universities Global Atmospheric Modelling Programme (UGAMP) ozone climatology project. This dataset contains a 3-dimensional climatology of ozone monthly means, combining various satellite observations and ozone sonde data. The data are global and covers 1985. Each file contains a ligne of text followed by the variable itself, in free format. Every single three-dimensional field var is stored as (((var(i, j, k), i=1, 144), j=1, 73), k=1, 47) where i is the longitude index (from 0°E to 357.5°E by 2.5°); j is the latitude index (from South Pole to North Pole by 2.5°); k is the level index (from top to bottom). Every two-dimensional field (zonal means) is stored as ((var(j, k), j=1, 73), k=1, 47) with the same conventions as above.

QUERCC addresses land surface processes over timescales from days to centuries, with particular emphasis on the carbon cycle. Some processes are already well represented and validated in Dynamic Global Vegetation Models (DGVMs), while others that are known to impact on the carbon cycle are not. Independent carbon and vegetation data sets are being compared against DVGMs to assess their current state, and further key modules will be developed for nutrient cycling, which exerts a major feedback on carbon exchange, and for a greater resolution of plant processes. This dataset contains Imogen output model data