The University of Wales, Aberystwyth, 1290mhz mobile wind profiler - now referred to as the University of Manchester mobile wind profiler - was operated at the Mace Head Research Facility in County Galway, Ireland, as part of the North Atlantic Marine Boundary Layer EXperiment (NAMBLEX) field campaign in August 2002. During this period the mobile wind profiler obtained vertical profiles of the horizontal and vertical wind components. For each signal beam profiles of the signal to noise (SNR) ratio and spectral widths were also taken.

Longterm observations (2002-present) of atmospheric chemistry parameters have been made at the Weybourne Atmospheric Observatory (WAO) including ozone, carbon monoxide and dulphur dioxide, oxides of nitrogen and cloud condensation nuclei. WAO is an NCAS facility and part of the School of Environmental Sciences at the University of East Anglia (UEA). It is situated on the north Norfolk coast and is a world class facility for fundamental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC. The WAO has also been the focus of many international experiments designed to into the chemistry of the planetary boundary layer and free troposphere.

Global three-hourly cloud products as produced for the International Satellite Cloud Climatology Project (ISCCP) at the Goddard Institute for Space Studies in New York. The data on are the ISCCP Stage D2 data (ISCCP-D2), at 280 km spatial resolution. There are 202 variables contained within the dataset, which is at three-hourly temporal resolution. The data available at the time of publication of this dataset record in this archive have been obtained from the NASA Atmospheric Data Center (ASDC) and begin in July 1983 and extend to June 2006. A fuller dataset is available directly from ASDC - see link on this record. The data are from a number of radiometers deployed on NOAA, GOES (Geostationary Operational Environmental Satellite), METEOSAT, GMS and INSAT satellites operational during this period. This dataset is public. The data periods for the various satellite instruments used within this generation of this dataset are given below: Advanced Very High Resolution Radiometer (AVHRR) versions 1,2 and 3: - AVHRR on NOAA-7: 01/07/1983 to 31/01/1985 - AVHRR on NOAA-8: 01/10/1983 to 24/06/1984 - AVHRR on NOAA-9: 01/02/1985 to 08/11/1988 - AVHRR on NOAA-10: 17/11/1986 to 30/08/1991 - AVHRR on NOAA-11: 30/06/1997 to 18/10/1998 - AVHRR/2 on NOAA-12: 01/09/1991 to 31/12/1998 - AVHRR/2 on NOAA-14: 01/02/1995 to 30/09/2001 - AVHRR/3 on NOAA-15: 01/01/1999 to 31/07/2000 - AVHRR/3 on NOAA-16: 01/10/2001 to 30/06/2005 - AVHRR/3 on NOAA-17: 01/07/2002 to 30/06/2005 Very High Resolution Radiometer (VHRR): - VHRR data on INSAT-1 series (INSAT-1A to 1D): 01/04/1988 to 31/03/1989 GOES-Imager: - GOES-Imager data on GOES-10: 01/08/1998 to 30/06/2005 - GOES-Imager data on GOES-12: 01/04/2003 to 30/06/2005 Multispectral Imaging Radiometer (MIR): - MIR data on METEOSAT-2: 01/07/1983 to 11/08/1988 - MIR data on METEOSAT-3: 11/08/1988 to 25/01/1991 - MIR data on METEOSAT-4 : 19/06/1989 to 30/06/1991 METEOSAT Visible and IR Imager (MVIRI): - MVIRI data on METEOSAT-5: 01/02/1994 to 30/06/2005 - MVIRI data on METEOSAT-6: 01/03/1997 to 31/05/1998 Visible and Infrared Spin-Scan Radiometer (VISSR) data: - VISSR data on GMS-1: 21/01/1984 to 30/06/1984 - VISSR data on GMS-2: 01/07/1983 to 27/091984 - VISSR data on GMS-3: 27/09/1984 to 04/12/1989 - VISSR data on GMS-4: 04/12/1989 to 30/06/1991 - VISSR data on GMS-5: 01/06/1995 to 30/04/2003 - VISSR data on GOES-5: 01/07/1983 to 30/07/1984 - VISSR data on GOES-6: 01/07/1983 to 21/01/1989 - VISSR data on GOES-7: 26/04/1987 to 30/06/1991 - VISSR data on GOES-8: 01/05/1995 to 31/03/2003 - VISSR data on GOES-9: 01/01/1996 to 30/06/2005 For further information about the satellites and their instruments please see the linked documentation pages.

The composition of the air present over the Weybourne Atmospheric Observatory (WAO), situated on the north Norfolk coast, depends on its origins. Plots showing the footprints of 10 day back trajectories arriving at WAO have been calculated using the UK Met Office's NAME Lagrangian atmospheric dispersion model.

The International Satellite Cloud Climatology Project (ISCCP) was based at the Goddard Institute for Space Studies in New York. ISCCP was sponsored by the World Climate Research Programme for the purpose of "collecting and analysing satellite radiance measurements to infer the global distribution of cloud radiative properties and their diurnal and seasonal variations". This dataset contains the global monthly cloud analysis products (ISCCP-C2), at 250 km spatial resolution. They are derived from monthly averages of data taken with three-hour resolution. The products include monthly averages of calibrated radiances, cloud detection results, and cloud and surface properties from radiative analysis. There are 72 variables contained within the data set. The data available at the time of publication begin in July 1983 and extend through December 1990.

Longterm Meteorological observations (temperature, relative humidity, pressure, wind speed and direction, solar irradiance) at the Weybourne Atmospheric Observatory (WAO). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC.

This is a copy of The Berlin Stratospheric Data Series provided to the BADC by K. Labitzke and her collaborators (2002) as a CD from the Meteorological Institute, Free University Berlin. This data set contains temperature and geopotential height data on the 100, 50, 30, 10 mb pressure surfaces produced at the Meteorological Institute, Free University of Berlin, from radiosonde data and rocket observations. This data series also contains summer, winter and annual trends and variability of the data, climatological monthly mean temperature and geopotential height at 30 mb, and intercomparisons with other data series. There are also sections on the quasi-biennial oscillation (QBO) and the global signal of the 11-year sunspot cycle in the stratosphere.

The SLIMCAT (Single Layer Isentropic Model of Chemistry And Transport) Reference Atmosphere for UTLS-Ozone was a set of example output from the SLIMCAT three-dimensional chemical transport model (CTM). It includes three-dimensional global fields of chemical (and sometimes meteorological) variables as computed for twelve dates in 1997, near the middle of each month. This data set includes 12 files, each of them corresponding to one output time near the middle of each month of Year 1997 (12 Jan, 11 Feb, 13 Mar, 12 Apr, 12 May, 11 Jun, 11 Jul, 10 Aug, 19 Sept, 19 Oct, 18 Nov, 18 Dec). Each file contains the calculated 3-D distribution of 37 chemical species or families and 6 meteorological variables. The model used is the SLIMCAT chemistry transport model (CTM). The model was run from October 1991 and forced by the UK Met Office analyses. The model used 18 isentropic levels. The vertical coordinate in the data files is the globally averaged altitude. The real lat/lon-dependent altitude is given in the ALT field recorded in the files. The THETA field gives the real model theta levels (which are constant with latitude/longitude). Data from Martyn Chipperfield, University of Leeds. NERC Research Programme UTLS-Ozone (Upper Troposphere and Lower Stratosphere) and National Centre for Earth Observation (NCEO).

The International Satellite Cloud Climatology Project (ISCCP) was based at the Goddard Institute for Space Studies in New York. ISCCP was sponsored by the World Climate Research Programme for the purpose of "collecting and analyzing satellite radiance measurements to infer the global distribution of cloud radiative properties and their diurnal and seasonal variations". This dataset collection contains the global three-hourly cloud products (ISCCP-D1), global monthly cloud products (ISCCP-D2), using the revised algorithm, at 280 km spatial resolution and and monthly cloud analysis products (ISCCP-C2) at 250 km spatial resolution. There are more than 200 variables contained within the datasets. Note - that that the temporal range of the datasets presented here are contain data available from the NASA Atmospheric Science Data Center (ASDC) covers the full extent available at the time of the dataset publication in the CEDA archives, begin in July 1983 and extend through to December 1999 (D1), 2006 (D2) and 1990 (C1). Fuller versions of the datasets are available from ASDC directly. These limited copies were obtained to aid researcher access within the UK community at the time.

The Geostationary Earth Radiation Budget (GERB) instrument makes accurate measurements of the Earth Radiation Budget. It was specifically designed to be mounted on a geostationary satellite and was carried onboard the Meteosat Second Generation satellite operated by European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT). The first GERB instrument, GERB-2, was onboard Meteosat Second Generation satellite, MSG-1, and began transmitting data on 12th December 2002. GERB-1 was launched onboard MSG-2 on 21st December 2005. Future GERB sensors units are planned for MSG-3 and MSG-4. This dataset collection contains the incident and reflected solar radiation together with thermal radiation emitted by the Earth's atmosphere. The amount of solar radiation absorbed is the difference between the the incoming and reflected solar radiation and is the energy source of the Earth-atmosphere system. The thermal radiation emitted by the atmosphere is the only sink of energy so, therefore, the budget is the difference between the two. Seasonal changes in the ERB are mainly due to changes in incoming solar radiation but there is a large amount of variability on timescales of hours to days, mainly due to clouds. The global coverage and sampling frequency required for accurate climate models requires that ERB measurements are made from satellites.