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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.
Along-Track Scanning Radiometer (ATSR) mission was funded jointly by the UK Department of Energy and Climate Change External Link (DECC) and the Australian Department of Innovation, Industry, Science and Research External Link (DIISR). This dataset collection contains version 1.1 ATSR-1 Multimission land and sea surface data. The instrument uses thermal channels at 3.7, 10.8, and 12 microns wavelength; and reflected visible/near infra-red channels at 0.555, 0.659, 0.865, and 1.61 microns wavelength. Level 1b products contain gridded brightness temperature and reflectance. Level 2 products contain land and sea-surface temperature, and NDVI at a range of spatial resolutions. The third reprocessing was done to implement updated algorithms, processors, and auxiliary files. The data were acquired by the European Space Agency's (ESA) Envisat satellite, and the NERC Earth Observation Data Centre (NEODC) mirrors the data for UK users.
In-situ airborne observations by the FAAM BAE-146 aircraft for FAAM AEOG : Demonstration of Comprehensive Approach to monitoring atmospheric Emissions from Oil and Gas installations (AEOG-3).
The the EC-Earth-Consortium team team consisted of the following agencies: La Agencia Estatal de Meteorología (AEMET), Barcelona Supercomputing Centre (BSC), Institute of Atmospheric Sciences and Climate (CNR-ISAC), Danish Meteorological Institute (DMI), Italian National Agency for New Technologies, Energy and Sustainable Economic Development (ENEA), Finnish Meteorological Institute (FMI), Helmholtz Centre for Ocean Research Kiel (Geomar), Irish Centre for High-End Computing (ICHEC), International Centre for Theoretical Physics (ICTP), Instituto Dom Luiz (IDL), Institute for Marine and Atmospheric research Utrecht (IMAU), Portuguese Institute for Sea and Atmosphere (IPMA), KIT Karlsruhe Institute of Technology, Royal Netherlands Meteorological Institute (KNMI), Lund University, Met Eireann, The Netherlands eScience Center (NLeSC), Norwegian University of Science and Technology (NTNU), University of Oxford, SURFsara, Swedish Meteorological and Hydrological Institute (SMHI), Stockholm University, Unite ASTR, University College Dublin, University of Bergen, University of Copenhagen, University of Helsinki, University of Santiago de Compostela, Uppsala University, University of Utrecht, Vrije Universiteit Amsterdam and Wageningen University.World Climate Research Programme (WCRP) Coupled Model Intercomparison Project Phase 6 (CMIP6): Collection of simulations from the the EC-Earth-Consortium team EC-Earth3 model. The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.
The ACES (Aerosol Coupling in the Earth System) project was an integrated research programme that aims to reduce uncertainties in our fundamental understanding of the formation of BSOA (Biogenic Secondary Organic Aerosol) and the subsequent impact on atmospheric composition, through coordinated chamber studies, field studies, process model development, and application of atmospheric models of chemistry and transport to assess coupling and feedbacks in the Earth system. As part of the APPRAISE-ACES project, the University of Manchester carried out several field measurements studies in the rainforest in Borneo (based at the forest in-canopy site located at the FACE (Forests Absorbing CO2 Emissions) nursery at the Sabahmas Estate oil plantation in Malaysia) and also aerosol chamber studies which followed in Manchester. This dataset collection contains measurements from aerosol instruments used in Borneo including Condensation Particle Counter (CPC), Grimm Optical Particle Counter (Grimm), Scanning Mobility Particle Sizer (SMPS) and a Sonic Anemometer 1. The ACES field measurement programme was designed to develop the objectives of the Oxidant and Particle Photochemical Processes above a South-East Asian Tropical Rain Forest (OP3-Danum-08) project.
UK-scale data from regional climate model for the UK from North-West Europe regional climate model runs from 1980-2080 produced by the Met Office for UK Climate Projections 2018 (UKCP18). The data is available at various temporal resolutions: daily, monthly, seasonal and annual and various spatial resolutions: on a 12km OSGB grid, for major UK river catchments and each of the countries of the United Kingdom.
PDSI consists of global maps of monthly self-calibrating Palmer Drought Severity Index (scPDSI) which have been calculated for selected periods of time based on the CRU TS data sets. The PDSI datasets are produced by KMNI in partnership with the Climatic Research Unit (CRU) at the University of East Anglia. The Palmer Drought Severity Index (PDSI) is a measure of soil moisture availability that has been used extensively to study droughts and wet spells in the contiguous USA and elsewhere, particularly as the primary indicator of the severity and extent of recent droughts. Recently, the PDSI has become more popular as a drought metric in studies quantifying possible trends in future soil moisture availability and it has been used as the basis for reconstructing past variations in drought.
This dataset collection contains global spatially predicted sea-surface iodide concentrations at a monthly resolution for the year 1970. It was developed as part of the NERC project Iodide in the ocean:distribution and impact on iodine flux and ozone loss (NE/N009983/1), which aimed to quantify the dominant controls on the sea surface iodide distribution and improve parameterisation of the sea-to-air iodine flux and of ozone deposition. As new observations are made, this global data product will be continually added to and updated through a "living data" model. The datasets follows semantic versioning (https://semver.org/) and holds different versions of this. Please refer to the paper referenced for the current version number and information on this (see related documentation).
The radar data collected by the Landmap project consist of data from ERS (European Remote Sensing) Satellites 1 and 2 from 1995 to 1999, ENVISAT ASAR (Advanced Synthetic Aperture Radar) (available in image mode, alternating polarisation and wide swath from 2004 onwards) and ALOS PALSAR (Advanced Land Orbiting Satellite Phased Array Type L-band Synthetic Aperture Radar) data where Fine Beam Single (FBS), Fine Beam Dual (FBD) and Polarimetric (PLR) data are available from 2007 - 2009 for areas of the UK and Republic of Ireland. The Joint Information Systems Committee (JISC) funded Landmap service which ran from 2001 to July 2014 collected and hosted a large amount of earth observation data for the majority of the UK, part of which was radar data. After removal of JISC funding in 2013, the Landmap service is no longer operational, with the data now held at the NEODC.
Land surface and marine surface observations data from the Met Office station network and other world wide stations as stored in the Met Office MIDAS database. Data are available for the period 1853 to present. The dataset comprises daily and hourly weather measurements, hourly wind parameters, max and min air temperatures, soil temperatures, sunshine duration and radiation measurements and daily, hourly and sub-hourly rain measurements, some climatology data and marine observations (including sea surface temperature, swell and wave associated parameters). This dataset collection supersedes the Met Office Land Surface Stations Dataset collection (1900-2000), also archived at the BADC.