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From 1 - 10 / 1696
  • The data provided here are the numerical simulation data for the historical natural-only forcings-only short experiment (2014 – 2015 inclusive) as a test case for 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 restricted to just historical natural variability of solar irradiance and volcanic aerosol optical depth. SST and SIC lower boundary conditions are provided from the HadISST observational dataset minus an estimate of the anthropogenic contribution derived from CMIP5 coupled model simulations. The experiment comprises a 15 member stochastic physics ensemble using kinetic energy backscatter and randomly perturbed physics schemes. Ensemble members are initialised from dumps taken from 0000Z December 1st 2013 at the end of the corresponding multi-decadal validation experiment.

  • The data provided here are the numerical simulation data for the natural forcings-only version of the EUCLEIA 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 restricted to just historical natural variability of solar irradiance and volcanic aerosol optical depth. SST and SIC lower boundary conditions are provided from the HadISST observational dataset minus an estimate of the anthropogenic contribution derived from CMIP5 coupled model simulations. 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.

  • The data provided here are the numerical simulation data for the historical forcings-only short experiment (2014 – 2015 inclusive) as a test case for 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. Ensemble members are initialised from dumps taken from 0000Z December 1st 2013 at the end of the corresponding multi-decadal validation experiment.

  • These climate projections for the North-West European Shelf Seas update the shelf seas component of UKCP09 Marine Report (Lowe et al, 2009) and were funded by the MINERVA project. This dataset contains three ensemble exemplars for model output based on the QUMP (Quantifying Uncertainties in Model Projections) ensemble of HadCM3 (Hadley Centre Coupled Model version 3) runs downscaled with the POLCOMS (Proudman Oceanographic Laboratory Coastal Ocean Modelling System) under SRES A1B (Special Report on Emissons Scenarios - A1B business-as-usual with medium emissions) conditions, from 1952-2098 for which 30-year means anomalies have been calculated from monthly mean data for each of the 12 months. A Perturbed Physics Ensemble (PPE) of HadCM3 has been downscaled with the shelf seas model POLCOMS. Each of the 11 ensemble members has been downscaled as transient simulations (from 1952-2098) under the SRES A1B emissions scenario. The PPE (QUMP) was designed to span the range of uncertainty associated with model parameter uncertainty in the atmosphere of the driving global climate model. POLCOMS was run at 12 km resolution, with 32 vertical levels using s-coordinates over the NW European Shelf Seas domain (-18.3 to 14 degrees East, 43 to 63.56 degrees North). Monthly statistics of the model results were recorded. Further details can be found in Tinker et al (2015).

  • These climate projections for the North-West European Shelf Seas update the shelf seas component of UKCP09 Marine Report (Lowe et al, 2009) and were funded by the MINERVA project. This dataset contains ensemble statistics for model output based on the QUMP (Quantifying Uncertainties in Model Projections) ensemble of HadCM3 (Hadley Centre Coupled Model version 3) runs downscaled with the POLCOMS (Proudman Oceanographic Laboratory Coastal Ocean Modelling System) under SRES A1B (Special Report on Emissons Scenarios - A1B business-as-usual with medium emissions) conditions, from 1952-2098 for which 30-year means anomalies have been calculated from monthly mean data for each of the 12 months. A Perturbed Physics Ensemble (PPE) of HadCM3 has been downscaled with the shelf seas model POLCOMS. Each of the 11 ensemble members has been downscaled as transient simulations (from 1952-2098) under the SRES A1B emissions scenario. The PPE (QUMP) was designed to span the range of uncertainty associated with model parameter uncertainty in the atmosphere of the driving global climate model. POLCOMS was run at 12 km resolution, with 32 vertical levels using s-coordinates over the NW European Shelf Seas domain (-18.3 to 14 degrees East, 43 to 63.56 degrees North). Monthly statistics of the model results were recorded. Further details can be found in Tinker et al (2015).

  • This data set comprises a variety of meteorological parameters measured every three hours (some more recent data are at hourly intervals) at the ten North Atlantic Ocean Weather Ships for the periods listed below. OWS Alpha (1947 - 1974); OWS Bravo (1953 - 1973); OWS Charlie (1945 - 1981); OWS Delta (1945 - 1973); OWS India (1947 - 1975); OWS Juliet (1947 - 1975); OWS Kilo (1954 - 1975); OWS Lima (1975 - 1983); OWS Mike (1949 - 1982); OWS Romeo (1975 - 1980). Each OWS record contains data from Norway, the Netherlands, France, Sweden, Russia, the UK and the USA as appropriate. Six of the weatherships ceased operation in the mid-1970s. However data are still being collected by OWS Mike, Romeo, Charlie and Lima. More recent data from these ships may be obtained from the UK Meteorological Office.

  • The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2018. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. For further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information). This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.

  • Synoptic charts from the Met Office's Cyclone Database, constructed from output stored in the database covering 2000-2005. The database holds lists of cyclones, their types and structural information about each cyclone and associated features as derived from analysis of the UK Met Office Unified Model. Database raw data available in its own dataset within this collection.

  • Cloud base and backscatter data from the Met Office's Vaisala CL31 ceilometer located at Brize Norton, Oxfordshire. The Met Office's laser cloud base recorders network (LCBRs), or ceilometers, returns a range of products for use in forecasting and hazard detection. The backscatter profiles can allow detection of aerosol species such as volcanic ash where suitable instrumentation is deployed. This instrument replaced a Vaisala CT25k ceilometer at the site in January 2017.

  • The UK soil temperature data contain daily and hourly values of soil temperatures at depths of 5, 10, 20, 30, 50, and 100 centimetres. The measurements were recorded by observation stations operated by the Met Office across the UK and transmitted within NCM or DLY3208 messages. The data spans from 1900 to 2017. At many stations temperatures below the surface are measured at various depths. The depths used today are 5, 10, 20, 30 and 100cm, although measurements are not necessarily made at all these depths at a station and exceptionally measurements may be made at other depths. When imperial units were in general use, typically before 1961, the normal depths of measurement were 4, 8, 12, 24 and 48 inches. Liquid-in-glass soil thermometers at a depth of 20 cm or less are unsheathed and have a bend in the stem between the bulb and the lowest graduation. At greater depths the thermometer is suspended in a steel tube and has its bulb encased in wax. This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.