The Global Ozone Monitoring Experiment–2 (GOME–2), is an optical spectrometer, fed by a scan mirror which enables across–track scanning in nadir, as well as sideways viewing for polar coverage and instrument characterisation measurements using the moon. The scan mirror directs light into a telescope, designed to match the field of view of the instrument to the dimensions of the entrance slit. This scan mirror can also be directed towards internal calibration sources or towards a diffuser plate for calibration measurements using the sun. This dataset collection contains vertical profiles of ozone and other trace gases from the GOME-2 instrument on-board the Eumetsat Polar System (EPS) Metop-A satellite. GOME–2 comprises four main optical channels which focus the spectrum onto linear silicon photodiode detector arrays of 1024 pixels each, and two Polarisation Measurement Devices (PMDs) containing the same type of arrays for measurement of linearly polarised intensity in two perpendicular directions. GOME–2 senses the Earth’s Backscattered Radiance and Extraterrestrial Solar Irradiance in the ultraviolet and visible part of the spectrum (240 – 790 nm). The detected signals are preprocessed on board and then transmitted to ground for full data processing and generation of maps. The recorded spectra are used to derive a detailed picture of the total atmospheric content of ozone and the vertical ozone profile in the atmosphere, vertical profiles of ozone, nitrogen dioxide, water vapour, oxygen / oxygen dimmer, bromine oxide and other trace gases, as well as aerosols.

The Aberystwyth Egrett Experiment: Gravity Waves, Turbulence, Mixing and Filamentation in the Tropopause Region is a Upper Troposphere Lower Stratosphere (UTLS) Round 2 project led by Dr J. Whiteway and Dr G. Vaughan, Department of Physics, University of Wales, Aberystwyth. This dataset contains NERC MST Radar Facility at Aberystwyth, Mid-Wales.

Bodeker Scientific produced a global combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. This database is used for assessing or constraining global climate model simulations. These data held at CEDA are a copy from Bodeker Scientific taken on November 2012.

Bodeker Scientific produced a global combined monthly mean vertical ozone profile database spanning the period 1979 to 2007. The database is completely filled such that there are no missing data. This database is used for assessing or constraining global climate model simulations. These data held at CEDA are a copy from Bodeker Scientific taken on November 2012.

The European Arctic Stratospheric Ozone Experiment is a European Commission (EC) measurement campaign undertaken in the Northern Hemisphere winter of 1991-92 to study ozone chemistry and dynamics. The dataset contains measurements of chemical constituents (concentrations of ozone and the members of the chlorine and nitrogen families) and meteorological parameters from European ground stations and balloon and aircraft flights, and from the ground-based ozone monitoring network. This dataset is public. This dataset was produced using a Nd-YAG laser, 0.6m diameter mirror, two receiver channels - one for parallel and the other for perpendicular polarisation. Photon counting system; raw data collected at 30m resolution (both channels simultaneously). Each individual measurement takes 5 minutes (5000 shots). For the data here, all measurements for an individual evening have been combined. Usually, 2 or 3 consecutive runs were made, but on some evenings (e.g. December 6-9 1991) a large number of profiles were measured. Times of measurements are not given here but can be supplied on request; each was made within 4 hours of 2000 GMT and during hours of darkness. Detailed data for each run are also available on request. To derive backscatter ratios, atmospheric density profiles were derived from ozonesondes launched from Aberystwyth during EASOE. These were corrected for air and ozone absorption. The top of the aerosol layer for each night was determined by inspection of the counts*height squared (Ch2) profile, and the average ratio of Ch2 to corrected density above this height was used to derive the backscatter ratio. Correction for aerosol absorption was made using an extinction/backscatter ratio of 40, assumed constant throughout the layer. For depolarisation ratio, the ratio of the two receiver channels is shown, corrected for the beamsplitter efficiency. Also, all the data have been normalised so that the lidar depolarisation ratio for air (above the aerosol layer) is 1.4%. (Note: this is different from the preliminary data). Data are shown above 10 km, except where cirrus was present, when the altitudes contaminated by cirrus have been removed. Below 10 km, the count-rates were too high for the recorded data to be reliable. The upper height reported is that of the top of the aerosol layer.

This dataset contains measurements of ozone (O3) concentrations, and environmental conditions experienced by tropical tree species grown in a series of experiments using Open Top Chambers (OTC's) conducted between July 2020 and November 2022 This also includes information on final biomass and leaf-level functional traits of experimental plants. The species studied include Brachichyton acerifolius, Carallia brachiate, Calophyllum inophyllum, Chionanthus ramiflorus, Darlingia darlingiana, Flindersia pimenteliana, Homalanthus novo-guineensis, Inga edulis, Syzygium gustavioides, and Theobroma cacao. Environmental variables recorded included air temperature, relative humidity and photosynthetically active radiation, alongside O3 concentrations in each of nine OTC's. While harvested plants were analysed to determine total dry-biomass and biomass partitioning as well as leaf functional traits such as leaf mass per unit are, antioxidant capacity, total phenolic content and leaf nitrogen content. This dataset also contains the calculated phytotoxic O3 dose (POD) for each species calculated when employing the DO3SE model and parametrized function of stomatal conductance. This data was supported by the NERC project, NE/R001812/1: Ozone impacts on tropical vegetation; implications for forest productivity (Trop-Oz). Full details about this dataset can be found at https://doi.org/10.5285/10b70ce2-29ac-4676-a664-b6054b5ef650

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 1986. 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.

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 1987. 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.

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 1988. 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.

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 1989. 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.