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  • Cloud properties derived from the AATSR instrument on ENVISAT by the ESA Cloud CCI project. The L3U datasets consists of cloud properties from L2 data granules remapped to a global space grid of 0.1 degree in latitiude and longitude, without combining any observations from overlapping orbits; only sampling is done. Common notations for this processing level are also L2b and L2G. Data is provided with a temporal resolution of 1 day. This dataset is version 1.0 data from Phase 1 of the CCI project.

  • Cloud properties derived from the merged series of AVHRR on the NOAA 15-18 satellites, MODIS on NASA's Aura and Terra satellites, and AATSR on ENVISAT by the ESA Cloud CCI project. The L3S dataset consists of data combined (averaged) from into a global space-time grid, with a spatial resolution of 0.5 degrees lat/lon and a temporal resolution of 1 month. This dataset is version 1.0 data from Phase 1 of the CCI project.

  • 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 contains atmospheric spectra (Level 1b data) from the GOME-2 instrument on-board the Eumetsat Polar System (EPS) Metop-A satellite.

  • Colour InfraRed (CIR) imagery for most of England and Wales collected between 2006 and 2010 at 50cm resolution by Bluesky, and then acquired by the Landmap project. The data were collected using digital cameras mounted underneath planes. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted Earth Observation satellite data for the majority of the UK, part of which was CIR data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC. The data are split into 100x100km regions that correspond to Ordnance Survey grid reference squares, and are available in GeoTiff format. Some regions are also available in ecw (Enhanced Compression Wavelet) format. Colour InfraRed imagery consists of imagery in three bands – Near InfraRed (NIR), red and green. CIR can be used study the health and variation of vegetation coverage as NIR rays are reflected at the bottom of leaves rather than the top, as with green. To aid with this, images were captured at times when plants were expected to be in full leaf. The invisible near infrared light of CIR can be "seen" by shifting it and the primary colours over so that near infrared wavelengths become visible as red while red wavelengths appear as green and green as blue. Blue wavelengths are shifted out of the visible portion of the spectrum and so they appear as black. On CIR imagery vegetation appears red while water generally appears black with artificial structures like buildings and roads showing as a light blue-green. When using these data please also include the following copyright statement: © GeoPerspectives supplied by Bluesky yyyy

  • The Soil Moisture CCI COMBINED dataset is one of three datasets created as part of the European Space Agency's (ESA) Soil Moisture Essential Climate Variable (ECV) Climate Change Initiative (CCI) project. The product has been created by directly merging Level 2 scatterometer and radiometer soil moisture products derived from the AMI-WS, ASCAT, SMMR, SSM/I, TMI, AMSR-E, WindSat, AMSR2, SMOS and SMAP satellite instruments. PASSIVE and ACTIVE products have also been created. The v05.2 COMBINED product, provided as global daily images in NetCDF-4 classic file format, presents a global coverage of surface soil moisture at a spatial resolution of 0.25 degrees. It is provided in volumetric units [m3 m-3] and covers the period (yyyy-mm-dd) 1978-11-01 to 2019-12-31. For information regarding the theoretical and algorithmic base of the product, please see the Algorithm Theoretical Baseline Document. Other additional reference documents and information relating to the dataset can also be found on the CCI Soil Moisture project website. The data set should be cited using all three of the following references: 1. Gruber, A., Scanlon, T., van der Schalie, R., Wagner, W., and Dorigo, W. (2019). Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology, Earth Syst. Sci. Data, 11, 717–739, https://doi.org/10.5194/essd-11-717-2019 2. Dorigo, W.A., Wagner, W., Albergel, C., Albrecht, F., Balsamo, G., Brocca, L., Chung, D., Ertl, M., Forkel, M., Gruber, A., Haas, E., Hamer, D. P. Hirschi, M., Ikonen, J., De Jeu, R. Kidd, R. Lahoz, W., Liu, Y.Y., Miralles, D., Lecomte, P. (2017). ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions. In Remote Sensing of Environment, 2017, ISSN 0034-4257, https://doi.org/10.1016/j.rse.2017.07.001 3. Gruber, A., Dorigo, W. A., Crow, W., Wagner W. (2017). Triple Collocation-Based Merging of Satellite Soil Moisture Retrievals. IEEE Transactions on Geoscience and Remote Sensing. PP. 1-13. 10.1109/TGRS.2017.2734070

  • WCRP CMIP5: Met Office Hadley Centre (MOHC) HadGEM2-ES model output for the RCP8.5 (rcp85) experiment. These data cover the following realms: aerosol, atmos, land, landIce, ocean, ocnBgchem and seaIce; at the following frequencies: 3hr, 6hr, day, fx, mon and yr. The runs included the ensemble members: r0i0p0, r1i1p1, r2i1p1, r3i1p1 and r4i1p1. The WCRP Coupled Model Intercomparison Project, Phase 5 (CMIP5), was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the World Climate Research Program (WCRP) and provided input for the Intergovernmental Panel on Climate Change (IPCC) 5th Assessment Report (AR5).

  • This dataset contains measurements of organic mass, sulphate mass, nitrate mass, ammonium mass and chloride mass. Oxidant and Particle Photochemical Processes above a South-East Asian tropical rain forest (OP3-Danum-08) is a 3-year Consortium Grant of the Natural Environment Research Council (NERC), beginning 1 October 2007. The objectives of the OP3 project are (i) to understand how emissions of reactive trace gases from a tropical rain forest mediate the production and processing of oxidants and particles in the troposphere, and (ii) to better understand the impact of these processes on local, regional and global scale atmospheric composition, chemistry and climate.

  • 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. This dataset contains Aerosol Concentrations from UW balloonborne aerosol counter; Ozonesonde, Electrochemical Cell flown on large gondola; Water vapor concentrations from NOAA's (Sam Oltmans) frost point hygrometer.

  • ARSF project GB08/11: Validation Consolidation of the Envisat MERIS Terrestrial Chlorophyll Index (MTCI). Led by: Dr. Doreen Sandra Boyd, School of Geography, University of Nottingham, University Park, Nottingham NG7 2RD, UK. Location: Brooms Farm, UK.

  • 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. This dataset contains vertical column measurements of NO2 and O3.