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  • The Contrail Forecast Verification Experiment (COVEX) was a Met Office experiment to validate the new contrail forecasting techniques based on engine parameters and environmental conditions. It was based on a one-flight experiment on board the Facility for Airborne Atmospheric Research (FAAM) aircraft, that took place in December 2004.

  • WCRP CMIP5: The MIROC team MIROC5 model output for the decadal1982 experiment. These data cover the following realms: aerosol, atmos, land, landIce, ocean and seaIce; at the following frequencies: fx and mon. The runs included the ensemble members: r0i0p0, r1i1p1, r2i1p1, r3i1p1, r4i1p1, r5i1p1 and r6i1p1. 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). The MIROC team consisted of the following agencies: Atmosphere and Ocean Research Institute (AORI) and Japan Agency for Marine-Earth Science and Technology (JAMSTEC).

  • Model level forecast parameters on a spherical harmonic grid from the European Centre for Medium-Range Weather Forecasts (ECWMF) ERA-Interim programme. The ERA-Interim global atmospheric reanalysis of the covers 1979 to August 2019. This follows on from the ERA-15 and ERA-40 re-analysis projects This subset of the ERA-Interim dataset contains 3 parameters on 60 levels.

  • The Intergovernmental Panel on Climate Change (IPCC) Data Distribution Centre provides four main types of data and guidance: 1. Observed Climate Data Sets; 2. Global Climate Model Data; 3. Socio-economic data and scenarios; 4. Data and scenarios for other environmental changes.

  • This dataset contains the Lakes Essential Climate Variable, which is comprised of processed satellite observations at the global scale, over the period 1992-2020, for over 2000 inland water bodies. This dataset was produced by the European Space Agency (ESA) Lakes Climate Change Initiative (Lakes_cci) project. For more information about the Lakes_cci please visit the project website. This is version 2.0.2 of the dataset. The five thematic climate variables included in this dataset are: • Lake Water Level (LWL), derived from satellite altimetry, is fundamental to understand the balance between water inputs and water loss and their connection with regional and global climate change. • Lake Water Extent (LWE), modelled from the relation between LWL and high-resolution spatial extent observed at set time-points, describes the areal extent of the water body. This allows the observation of drought in arid environments, expansion in high Asia, or impact of large-scale atmospheric oscillations on lakes in tropical regions for example. . • Lake Surface Water temperature (LSWT), derived from optical and thermal satellite observations, is correlated with regional air temperatures and is informative about vertical mixing regimes, driving biogeochemical cycling and seasonality. • Lake Ice Cover (LIC), determined from optical observations, describes the freeze-up in autumn and break-up of ice in spring, which are proxies for gradually changing climate patterns and seasonality. • Lake Water-Leaving Reflectance (LWLR), derived from optical satellite observations, is a direct indicator of biogeochemical processes and habitats in the visible part of the water column (e.g. seasonal phytoplankton biomass fluctuations), and an indicator of the frequency of extreme events (peak terrestrial run-off, changing mixing conditions). Data generated in the Lakes_cci are derived from multiple satellite sensors including: TOPEX/Poseidon, Jason, ENVISAT, SARAL, Sentinel 2-3, Landsat OLI, ERS, MODIS Terra/Aqua and Metop. Detailed information about the generation and validation of this dataset is available from the Lakes_cci documentation available on the project website and in Carrea, L., Crétaux, JF., Liu, X. et al. Satellite-derived multivariate world-wide lake physical variable timeseries for climate studies. Sci Data 10, 30 (2023). https://doi.org/10.1038/s41597-022-01889-z

  • The University of Bath's meteor radar located at the British Antarctic Survey's Rothera base on Rothera Point, Adelaide Island, Antartica (67.57 S, 68.13 W), is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. Meteor detection and derived wind data from this instrument are available from 2005. These were collected in support of a number of research projects - see linked Project records for further details. The radar detects radio scatter from the ionised trails of individual meteors drifting with the winds of the upper mesosphere, mesopause and lower thermosphere. A low-gain transmitter antenna is used to provide broad illumination of the sky. An array of five receiver antennas act as an interferometer to determine the azimuth and zenith angles of individual meteor echoes. Doppler measurements from each meteor determine the radial drift velocity and the meteor is assumed to be a passive tracer of atmospheric flow. The radar typically detects of order a few thousand meteors per day. These observations can be used to determine zonal and meridional winds in the mesosphere, mesopause and lower thermosphere at heights of about 80 – 100 km and with height and time resolutions of ~ 3 km and 2 hours. The radar produces daily “meteor position data” data files (mpd files) recording the details of each individual meteor echo. In normal operation a few thousand individual meteors are detected per day. See parameter list for details of available data. Recordings are made for each individual meteor detected allowing measurements of zonal and meridional wind speeds in the mesosphere and lower thermosphere to be obtained. Meteor count rates vary diurnally and with season, but are usually up to a few thousand meteors per day. Note - there are additional data from 20040728 in the archive. No other data were obtained between that date and the start date for the dataset (20050212). The start date of 20050212 has been chosen in order to avoid potential confusion about missing data prior to that date.

  • The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Chinese Academy of Sciences (CAS) CAS-ESM2-0 model output for the "control plus perturbative surface flux of water into ocean" (faf-water) experiment. These are available at the following frequency: Omon. The runs included the ensemble member: r1i1p1f1. CMIP6 was a global climate model intercomparison project, coordinated by PCMDI (Program For Climate Model Diagnosis and Intercomparison) on behalf of the WCRP and provided input for the Intergovernmental Panel on Climate Change (IPCC) 6th Assessment Report (AR6). The official CMIP6 Citation, and its associated DOI, is provided as an online resource linked to this record.

  • Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft during flight 1 for The UK Ice in Clouds Experiment -- Dust (UK ICE-D) project.

  • WCRP CMIP5: Met Office Hadley Centre (MOHC) HadCM3 model output for the 10-year hindcast/prediction initialized in year 1975 (decadal1975) experiment. These data cover the following realms: aerosol, atmos, land, landIce, ocean and seaIce; at the following frequencies: day and mon. The runs included the ensemble members: r10i2p1, r10i3p1, r1i2p1, r1i3p1, r2i2p1, r2i3p1, r3i2p1, r3i3p1, r4i2p1, r4i3p1, r5i2p1, r5i3p1, r6i2p1, r6i3p1, r7i2p1, r7i3p1, r8i2p1, r8i3p1, r9i2p1 and r9i3p1. 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).

  • The data provided here are the numerical simulation data for the multi-decadal experiment (1960 – 2013 inclusive) for the validation of the upgraded Met Office HadGEM3-A based operational event attribution system for EUCLEIA (European Climate and weather Events: Interpretation and Attribution). Improvements include higher horizontal and vertical resolution (N216 L85) and the latest dynamical core (ENDGame) and land surface model (JULES). External forcings are historical natural variability of solar irradiance and volcanic aerosol optical depth as well as historical anthropogenic prescriptions of GHGs, ozone, aerosols and land use change. SST and SIC lower boundary conditions are provided from the HadISST observational dataset. The experiment comprises a 15 member stochastic physics ensemble using kinetic energy backscatter and randomly perturbed physics schemes. All ensemble members share identical initialisation of the atmospheric state from ERA-40 reanalysis at 0000Z December 1st 1959. Atmospheric data are provided at temporal output resolutions of 3-hourly, 6-hourly, daily and monthly; land data are provided at daily and monthly resolutions.