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.

The UK's Natural Environment Research Council's (NERC) National Centre for Atmospheric Sciences (NCAS) operates a suite of instrumentation to monitor the atmospheric dynamics and composition of the atmosphere. This dataset brings together all the long term routine observations made by NCAS instruments covering surface based instruments as well as remote sensing instruments such as radars and lidars. Some of the instruments may also be deployed elsewhere on field campaigns, for which the data will be available under the associated field campaign dataset. Links are also available to pages describing the instruments from which links to all data from that particular instrument can be found.

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.

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 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 Reading Assimilated Atmospheric Satellite Data presents an analyses of stratospheric and tropospheric temperature, ozone and water vapour incorporating data from research satellites and operational observations, assimilated with the Hadley Centre Atmospheric Model (HADAM3) configuration of the Unified Model (UM). This dataset includes 3-D global fields for selected periods of time in the 1990s and is produced as part of the Assimilation of Remote-sensed Data for Applications in the Atmospheric and Oceanographic Sciences (ARDAAOS) Natural Environment Research Council (NERC) thematic programme.

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).

Regular temperature, rainfall and other weather data, as collected between February 1999 and September 2002 from an on-site Automatic Weather Station, located on experimental plots at Sourhope, Scotland. Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). During this time, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). Full details about this dataset can be found at https://doi.org/10.5285/e6e835ae-99e6-445e-b0dc-0d0db44e310a

This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates monthly averaged atmospheric deposition of oxidised sulphur, oxidised nitrogen, and reduced nitrogen at 3x3 km2 grid for the years 2002 to 2021. The data consists of atmospheric deposition values of oxidised sulphur, oxidised nitrogen, and reduced nitrogen. The EMEP4UK model version used here is rv4.36, and the WRF model version is the 4.2.2. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/904af4a0-d66d-460d-82eb-c8965e161b3e

A digital geochronological index to act as a domain constraint for geochronology columns in corporate data tables. It decodes geochronology codes, models pseudo parent-child relationships between intervals (for example, find the epochs within a given period), allows range searches (for example, find the epochs between lower limiting and upper limiting epochs) and provides radiometric ages with ranges of uncertainty. Follows the recommendations of the BGS Stratigraphy Committee. Phanerozoic after Gradstein and Ogg (1996), with the Ordovician scheme of Fortey et al. (1995); Proterozoic after Cowie and Bassett (1989); Archaean after an unpublished decision of the Precambrian Subcommission of the IUGS. Covers the whole of geological time. Geochronological resolution usually to age level. Lower resolution in the Archaean, Proterozoic, Cambrian. Greater resolution in the Caradoc Epoch.