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 data set comprises vegetation species and abundance information, surveyed using a 50 x 50 cm point quadrat, from a selection of the plots within an experimental site at Sourhope, Scotland. The surveys were carried out in the summers of 1998, 1999, 2000, 2001 and 2002. The data were collected as part of the NERC Soil Biodiversity Thematic Programme, established in 1999 and 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: NT8545019630). During the experiment, 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/c730867f-ffd7-4d2d-9dd0-e2f30a7dbbf6

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.

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: NT8545019630). 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 data set details soil pH values and soil moisture values from experimental plots at a field site at Sourhope, Scotland, between 1998 and 2002. 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: NT8545019630). During the experiment, 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/a35d0ded-b422-4af3-8f74-e70249fc9788

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.

Global Brightness Temperature imagery from the Cloud Archive User Service (CLAUS) project. This project produced a long time-series of global thermal infra-red imagery of the Earth using data from operational meteorological satellites, which was used in validating atmospheric General Circulation Models. The CLAUS archive currently spans the period 1st July 1983 - 30th June 2009. Responsibility for maintaining and updating the CLAUS archive resides with the Environmental Systems Science Centre (ESSC). The source data used in CLAUS are the level B3 (reduced resolution) 10 micron radiances from operational meteorological satellites participating in the International Satellite Cloud Climatology Programme (ISCCP) and were obtained from the NASA Langley Atmospheric Sciences Data Center (LASDC). During the CLAUS project the B3 data were processed to create a uniform latitude-longitude grid (or image) of Brightness Temperature (BT) values at a spatial resolution of 0.5 by 0.5 degrees and temporal resolution of three hours. Information at the grid point level about the satellites used in generating each BT image, and the type of interpolation applied, was held in two supplementary quality files. The B3 data were also rigorously quality controlled to remove residual noise and navigation/calibration errors that were noticed in the original processing. The 0.5 degree resolution data were updated and supplemented by a new product at one-third degree spatial resolution for use in process studies. These higher resolution data are also being used to create monthly animations for educational purposes.

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

The data set comprises biomass values and mineral nutrient values from experimental plots located at Sourhope, Scotland. On 5 occasions throughout each of the 1999, 2000, 2001 and 2002 growing seasons, grass cuttings were collected from a 50 x 50 cm cell area from each of the 4 main sub-plots within each of a set of experimental main-plots, and biomass values calculated. In addition, mineral nutrient analysis was carried out for the July 1999 grass cuttings. The work was 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 the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity). The primary aims of the Programme were to achieve simultaneously an understanding of the biological diversity of the soil biota and the functional roles played by soil organisms in key ecological processes. In seeking to achieve these aims, 24 separate research projects were funded to study soil structure, soil processes (such as the carbon and nitrogen cycles) and the roles of micro-fauna and flora (Bacteria, Nematoda, Protozoa and Fungi), microarthropods (including Collembola and Acari), invertebrate root feeders (Tipulid, Bidionid and Scarabeid larvae), meso-fauna (such as Enchytraeidae) and macro-fauna (including Megadrili, Mollusca and Coleoptera). Full details about this dataset can be found at https://doi.org/10.5285/1a278fbf-b8b2-472d-9100-5fb432095f63

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.