An international long-term collaboration to study the climatic and environmental feedback mechanisms involved in the African monsoon, and in some of its consequences on society and human health. The programme, which started in 2004, has developed a network of ground-based observation stations over Sub-Saharan West Africa to measure heat flux and, for some stations, CO2 and H2O vapour fluxes. Files also include concomitant meteorological measurements (wind, temperature, pressure, humidity, rainfall) and soil physics parameters (soil temperature and moisture). The UK branch of AMMA makes use of several instruments provided by the UK Universities Facility for Atmospheric Measurement (UFAM) which are centred on the Niamey meso-site. The Facility for Airbourne Atmospheric Measurements (FAAM) aircraft was used during the July-August 2006 campaign.

Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 2 took place in April and May 2004 at Weybourne Atmospheric Observatory, on the north Norfolk coast. This dataset contains ECMWF trajectories.

Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 1 took place in July and August 2003 at Writtle College, near Chelmsford, Essex. This dataset contains ECMWF trajectories

Tropospheric ORganic CHemistry Experiment (TORCH) was a Natural Environment Research Council (NERC) Polluted Troposphere Research Programme project (Round 1 - NER/T/S/2002/00145. Duration 2002 - 2005) led by A. Lewis, University of York. TORCH 1 took place in July and August 2003 at Writtle College, near Chelmsford, Essex. This dataset contains methven trajectory model measurements at Reading University computer.

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. This dataset contains measurements from climate simulations from GISS of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.

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 SLIMCAT 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 Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. This dataset contains measurements from climate simulations from LSCE of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.

The Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) was organized under the auspices of Atmospheric Chemistry and Climate (AC&C), a project of International Global Atmospheric Chemistry (IGAC) and Stratospheric Processes And their Role in Climate (SPARC) under International Geosphere Bisosphere Programme (IGBP) and World Climate Research Programme (WCRP). The Atmospheric Chemistry and Climate Model Intercomparison Project (ACC-MIP) consists of several sets of simulations that have were designed to facilitate useful evaluation and comparison of the AR5 (Intergovernmental Committee on Climate Change Assessment Report 5) transient climate model simulations. This dataset contains measurements from climate simulations from NIES of the 20th century and the future projections, which output feedback between dynamics, chemistry and radiation in every model time step. The data are collected from running the latest set of ozone precursor emissions scenarios, which output tropospheric ozone changes from 1850 to 2100.

The Polluted Troposphere Programme was a 5-year NERC thematic research programme which was centred upon the study of polluted boundary layer air and its transport to the free troposphere. The programme focussed on the regional scale, defined as intermediate between urban and hemispheric. This dataset collection contains measurements of O3, CO, NO, NO2, C2-C8 hydrocarbons, C1-C4 oxygenated hydrocarbons, PAN, Peroxides (Organic and Inorganic), Organic nitrates, OH and HO2 radicals, Sum of RO2 + HO2 radicals, OH chemical lifetime, Photolysis frequencies (e.g. j(O1D), j(NO2), j (HCHO), Aerosol number and size distribution, Aerosol composition, Local meteorology, and 5 and 10 day back trajectories. Many of the instruments are also part of the Universities Facility for Atmospheric Measurement (UFAM). TORCH 1 took place in July and August 2003 at Writtle College, near Chelmsford, Essex. The goals were to provide both a detailed data set on organic composition in the polluted atmosphere, and to develop theoretical and modelling tools which may be used in defining future air quality policy.