(My organization)
Continents, countries, sea regions of the world.
This dataset has been superseded, the latest version is BGS BritPits version 4 http://data.bgs.ac.uk/id/dataHolding/13608569 The BGS BritPits v3 is derived from a BGS database, which contains records of mineral workings covering the Great Britain, Northern Ireland, Isle of Man and Channel Islands. The coverage includes active, inactive, dormant and ceased sites and a range of mineral operations, including mines, quarries, onshore oil and gas fields, together with wharfs and rail depots handling mineral products and industrial processes which produce a mineral product. The information on currently active sites is continually updated with the cooperation of both local authorities and the minerals industry.
The copyright of materials derived from the British Geological Survey's work is vested in the Natural Environment Research Council [NERC]. No part of this work may be reproduced or transmitted in any form or by any means, or stored in a retrieval system of any nature, without the prior permission of the copyright holder, via the BGS Intellectual Property Rights Manager. Use by customers of information provided by the BGS, is at the customer's own risk. In view of the disparate sources of information at BGS's disposal, including such material donated to BGS, that BGS accepts in good faith as being accurate, the Natural Environment Research Council (NERC) gives no warranty, expressed or implied, as to the quality or accuracy of the information supplied, or to the information's suitability for any use. NERC/BGS accepts no liability whatever in respect of loss, damage, injury or other occurence however caused.
The dataset is made available to external clients under BGS Digital Data Licence terms and conditions. Revert to the IPR Section (iprdigital@bgs.ac.uk) if further advice is required with regard to permitted usage.
Either : (i) the dataset has not been formally approved by BGS for access and use by external clients under license; and / or (ii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted before the dataset can be provided to, or accessed by, BGS staff or external clients. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant access restrictions. This staff member should revert to the IPR Section (IPR@bgs.ac.uk) for advice, should the position not be clear.
This digital archive of mining records held by the BGS, includes information from the Memoirs of the Geological Survey and Museum of Practical Geology (1846 -1872); the Mineral Statistics publications (1855 - 1986); the Inspectorate of Mines (1897, 1948 - 1993); the Directory of Mines and Quarries (1984 onwards) and the BGS Geology 50 (Geological mapping at 1:50,000 scale). The BritPits v3 dataset is processed following the instruction provided in document ‘BGS BritPits v3 Methodology Report’ Internal Report: IR/24/026
https://catalogue.ceda.ac.uk/uuid/d68305fd26944d9dad2ae1e98a45aa08 d68305fd26944d9dad2ae1e98a45aa08
FAAM B694 DIAMET flight, number 8: Airborne atmospheric measurements from core instrument suite on board the BAE-146 aircraft
Airborne atmospheric measurements from core instrument suite data on board the FAAM BAE-146 aircraft during flight 8 for DIAMET (Diabatic influences on mesoscale structures in extratropical storms) project.
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
Under the following licence http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.
FAAM B196 NEON flight: Airborne atmospheric measurements from core and non-core instrument suites on board the BAE-146 aircraft
Airborne atmospheric measurements from core and non-core instrument suites data on board the FAAM BAE-146 aircraft collected for NEON Infra-Red Camera project.
UKCCSRC Call 1 project presentation: North Sea aquifer mapping, Cambridge Biannual, 02.04.14
This presentation on the UKCCSRC Call 1 project, North Sea aquifer mapping, was presented at the Cambridge Biannual, 02.04.14. Grant number: UKCCSRC-C1-30.
Either: (i) the dataset is made freely available, e.g. via the Internet, for a restricted category of use (e.g. educational use only); or (ii) the dataset has not been formally approved by BGS for access and use by external clients under licence, but its use may be permitted under alternative formal arrangements; or (iii) the dataset contains 3rd party data or information obtained by BGS under terms and conditions that must be consulted in order to determine the permitted usage of the dataset. Refer to the BGS staff member responsible for the creation of the dataset if further advice is required. He / she should be familiar with the composition of the dataset, particularly with regard to 3rd party IPR contained in it, and any resultant use restrictions. This staff member should revert to the IPR Section (ipr@bgs.ac.uk) for advice, should the position not be clear.
UKCCSRC Call 1 project, grant number: UKCCSRC-C1-30, Lead institution: British Geological Survey
HadISDH land: gridded global monthly land surface humidity data version 4.3.1.2020f
This is the HadISDH land 4.3.1.2020f version of the Met Office Hadley Centre Integrated Surface Dataset of Humidity (HadISDH). HadISDH-land is a near-global gridded monthly mean land surface humidity climate monitoring product. It is created from in situ observations of air temperature and dew point temperature from weather stations. The observations have been quality controlled and homogenised. Uncertainty estimates for observation issues and gridbox sampling are provided (see data quality statement section below). The data are provided by the Met Office Hadley Centre and this version spans 1/1/1973 to 31/12/2020. The data are monthly gridded (5 degree by 5 degree) fields. Products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). This version extends the 4.2.0.2019f version to the end of 2020 and constitutes a minor update to HadISDH due to changing some of the code base from IDL and Python 2.7 to Python 3, detecting and fixing a bug in the process, and retrieving the missing April 2015 station data. These have led to small changes in regional and global average values and coverage. All other processing steps for HadISDH remain identical. Users are advised to read the update document in the Docs section for full details. As in previous years, the annual scrape of NOAAs Integrated Surface Dataset for HadISD.3.1.2.202101p, which is the basis of HadISDH.land, has pulled through some historical changes to stations. This, and the additional year of data, results in small changes to station selection. The homogeneity adjustments differ slightly due to sensitivity to the addition and loss of stations, historical changes to stations previously included and the additional 12 months of data. To keep informed about updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/ References: When using the dataset in a paper please cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference): Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014. Dunn, R. J. H., et al. 2016: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geoscientific Instrumentation, Methods and Data Systems, 5, 473-491. Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704-708, doi:10.1175/2011BAMS3015.1 We strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication: Willett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013.
Public data: access to these data is available to both registered and non-registered users.
Under the following licence http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/, appropriate use of these data may fall under personal, academic and policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
HadISDH-land is a global land surface (~2 m) humidity dataset and is produced by the Met Office Hadley Centre in collaboration with Maynooth University, NOAA NCEI, NPL and CRU. It is based on the quality controlled sub-daily HadISD from the Met Office Hadley Centre which is in turn based on the ISD dataset from NOAA's NCEI. It is passed to CEDA for archiving and distribution.
CADW (CADW) Geophysical Survey WESSEX5: (17/Apr/2010 to 02/May/2010)
Wessex Archaeology (WA) was commissioned by Cadw to acquire, process and interpret marine geophysical data over a number of known and suspected wreck site locations off the coast of Wales. This survey was conducted under the Protection of Wrecks Act (1973) contract and the data is Crown Copyright©. The data were acquired and processed by Wessex Archaeology. The marine geophysical surveys targeted a total of nine suspected wreck locations in Milford Haven area, off the coast of South Wales, seven of which represent the locations for the remains of 19th century Welsh vessels associated with the coal mining industry. Additional survey data were acquired over two 20th century sites within the Milford Haven, the Thor and the Sunderland. The acquisition of these data aimed to assist RCAHMW maritime team and the Sunderland Trust with on-going archaeological research and fund-raising. The marine geophysical surveys also targeted a total of ten suspected and known wreck site locations off the coast of Lleyn peninsula in North Wales. These included eight unconfirmed positions of 19th century Welsh vessels associated with the slate mining industry, two designated sites the Diamond and the Tal-Y-Bont, and the marine hazard of St Patrick’s Causeway with the aim of discovering new wreck sites. The project aimed to acquire marine geophysical data consisting of high resolution sidescan sonar and magnetic gradiometer data over a total of total of 21 known and suspected wreck positions and along the known marine hazard of St. Patrick’s Causeway. Since the sites were located in two different areas, they were surveyed during two separate surveys from the Pembroke based vessel Blue Shark. The first session surveyed sites mostly off Milford Haven in south Wales between 17th and 18th April 2010. The second session surveyed sites off the coast of Lleyn peninsula and along St. Patrick’s Causeway in north Wales between 23rd April 2010 and 2nd May 2010 with a day of mobilisation and a day of demobilisation at the start and end of the survey session. The geology and geophysics component of the data are archived at British Geological Survey (BGS) MEDIN Data Archive Centre (DAC) for Geology and Geophysics. Data were also provided to other archive centres as appropriate.
Geophysical equipment types used included: Magnetometer and Sidescan Sonar. Wessex Archaeology was contracted to undertake the survey on behalf of CADW. Positions were provided using Leica 500 Trimble RTK beacon receiving corrections via satellite or a Trimble DGPS, which received differential corrections via land stations to provide a position to within 0.6m. Positions were recorded using World Geodetic System 1984 (WGS84) Datum and projected as Universal Transverse Mercator (UTM) Zone 30 North co-ordinates. The navigation data were recorded using Hypack (2008 v.2). The sidescan sonar data were acquired with a Klein 3900 towfish system. This system uses the latest technology in digital sidescan sonar imaging and can operate at either low (445kHz) or high (900kHz) frequency to provide high resolution images. The data were digitally recorded in xtf format using SonarPro Software. The sidescan sonar towfish layback values were recorded on survey logs and also applied to the raw data in SonarPro as it was recorded. The magnetic gradiometer data were acquired using Geomatrix’s G882 gradiometer system consisting of two marine caesium vapour magnetometers arranged horizontally 1.5m apart on a transverse gradiometer tow frame. The gradiometer frame was deployed independently of the sidescan sonar system, permitting the separate adjustment of fish heights. A fin and lead weight positioned under the centre of the frame were used in addition to those attached to each of the magnetometers in order to aid the submersion and stability of the gradiometer. This system was chosen for its high performance in shallow water with high sensitivity and fast sampling rate with a resolution of 0.02nT at 0.1 second sample interval and an absolute accuracy of <3nT throughout the range. The system only suffers a heading error of +/- 1nT error through a 360° arc. The gradiometer data were recorded in Geomatrix software Maglog and exported into ASCII files in real-time, where the raw and corrected position, field value, altitude and depth for each of the magnetometers were recorded in a single string. All magnetometer layback values were applied to the raw data in Maglog during recording and detailed on survey logs. In cases where the layback calculation failed the gradiometer data were corrected during the processing stages.
https://catalogue.ceda.ac.uk/uuid/cc7fe483ed9b456da85b65197415be44 cc7fe483ed9b456da85b65197415be44 cmip5.output1.BNU.BNU-ESM.sstClim.day.atmos.day.r1i1p1.v20120503.v20120503 cmip5.output1.BNU.BNU-ESM.sstClim.mon.aerosol.aero.r1i1p1.v20120503.v20120503 cmip5.output1.BNU.BNU-ESM.sstClim.mon.atmos.Amon.r1i1p1.v20120503.v20120503 cmip5.output1.BNU.BNU-ESM.sstClim.mon.land.Lmon.r1i1p1.v20120503.v20120503 cmip5.output1.BNU.BNU-ESM.sstClim.mon.landIce.LImon.r1i1p1.v20120503.v20120503
WCRP CMIP5: College of Global Change and Earth System Science (GCESS) BNU-ESM model output for the sstClim experiment
WCRP CMIP5: College of Global Change and Earth System Science (GCESS) BNU-ESM model output for the Control SST Climatology (sstClim) experiment. These data cover the following realms: aerosol, atmos, land and landIce; at the following frequencies: day and mon. The runs included the ensemble member: r1i1p1. 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).
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/cmip5_open.pdf, appropriate use of these data may fall under any use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data were produced and verified by College of Global Change and Earth System Science (GCESS) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
Phenotypic measurements of Howea belmoreana and Howea forsteriana from a common garden experiment on Lord Howe Island
The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving plants per replicate, as well as height and number of leaves of individual plants at two timepoints. The work was carried out by Dr Owen Osborne and Prof. Vincent Savolainen, Imperial College London, and was funded by the NERC grant NE/M015742/1. Full details about this dataset can be found at https://doi.org/10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37
If you reuse this data, you should cite: Osborne, O., Savolainen, V. (2019). Phenotypic measurements of Howea belmoreana and Howea forsteriana from a common garden experiment on Lord Howe Island. NERC Environmental Information Data Centre https://doi.org/10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37
This resource is made available under the terms of the Open Government Licence
The dataset describes the results of a long-term common garden experiment. Seeds of Howea belmoreana and Howea forsteriana were planted in 140 boxes (50 seeds per box; 7000 seeds in total) and grown outdoors under shade canopies at the Lord Howe Island Nursery, Lord Howe Island, New South Wales, Australia. Seeds were collected wild from six locations on Lord Howe Island. They were then planted in two native soil types from the island: calcareous and volcanic soil. For half of the replicates for each soil type-species combination, the soil was sterilised with an industrial soil steamer. Boxes were then sealed and left to germinate and establish. After 14 months, survival rate was recorded for each replicate box and plant height and leaf number was recorded for all surviving seedlings. At this point all seedlings were re-potted into individual pots and their order was randomised. After another 16 months, seedling survival, leaf number and height were again recorded. Half of the seedlings for each soil type-species-sterilisation treatment combination were then subjected to drought conditions for two weeks. Final survival rates were recoded two months after this. The data package contains two datasets. The first records the survival rate of each replicate (50 seed box) at each time point. The second records height, number of leaves and survival for each surviving seedling. Full materials and methods are included in the supplementary information.
University of Bath Skiymet meteor radar data collection
The University of Bath have operated a number of meteor radars in the northern and southern hemisphere since around 1999. These commercially produced Skiymet meteor radars are all-sky VHF (Very High Frequency) meteor radar systems. The various instruments have been operated by the University of Bath from October 1999 to present - albeit with some gaps in the data coverage. These were collected in support of a number of research projects - see linked Project records for further details. The Skiymet 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. The key data parameters recorded for each meteor echo include: 1. Date and time of the meteor detection 2. Range to the meteor echo point 3. Height of the meteor echo above the ground 4. Radial drift velocity of the meteor echo and its uncertainty 5. Zenith and azimuth angles of the meteor echo 6. Ambiguity levels in the determined zenith and azimuth angles 7. Decay time of the meteor echo 8. Meteor echo power and S/N ratio 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.
All data within this dataset collection are available to any registered CEDA user.
Please see data lineage statements for each dataset within this collection for data lineage details.
https://catalogue.ceda.ac.uk/uuid/caa9f45738d34e4cb1208ae0d72b5e79 caa9f45738d34e4cb1208ae0d72b5e79
HadEX3: Global land-surface climate extremes indices
HadEX3 is a land-surface dataset of climate extremes indices available on a 1.875 x 1.25 longitude-latitude grid covering 1901-2018. These 29 indices have been developed by the World Meteorological Organization (WMO) Expert Team on Climate Change Detection and Indices (ETCCDI). Indices are available on an annual, and for some a monthly, basis. Some indices use a reference period to calculate thresholds, and for these, we provide versions using 1961-90 and 1981-2010. The indices are available in NetCDF files, with one index per file and separate files for annual and monthly values, as well as the different reference periods if appropriate. The codes used to create the dataset are available online, and a wide number of analysis plots are on the dataset homepage. For a detailed description of the methods behind the dataset, please see the paper in Details/Docs.
Please contact the data centre for assistance on accessing data from this dataset collection.
Citation Information - Digital Object Identifier (DOI)
Flight summary file for FAAM BAE-146 flight B694
Flight track for FAAM BAE-146 flight B694
Flight summary file for FAAM BAE-146 flight B196
Flight track for FAAM BAE-146 flight B196
Integrated surface database reference paper
Dunn, R. J. H., Willett, K. M., Parker, D. E., and Mitchell, L.: Expanding HadISD: quality-controlled, sub-daily station data from 1931, Geosci. Instrum. Method. Data Syst., 5, 473-491, doi:10.5194/gi-5-473-2016, 2016.
HadISDH update document for v4.3.1.2020f
ETCCDI at Pacific Climate Impacts Consortium
NCAS British Atmospheric Data Centre (NCAS BADC)
Facility for Airborne Atmospheric Measurements (FAAM)
Natural Environment Research Council (NERC)
Centre for Environmental Data Analysis (CEDA)
NERC EDS Centre for Environmental Data Analysis
College of Global Change and Earth System Science (GCESS)
NERC EDS Environmental Information Data Centre
https://catalogue.ceda.ac.uk/uuid/061fc7fd1ca940e7ad685daf146db08f 061fc7fd1ca940e7ad685daf146db08f 10.5285/061fc7fd1ca940e7ad685daf146db08f
University of Bath: King Edward Point Skiymet meteor radar data (2016-2020)
The University of Bath's meteor radar located at the King Edward Point Magnetic Observatory (KEP, 54.2820 S, 36.4930 W) on South Georgia island in the South Atlantic , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It has been operational since 2016 providing meteor detection and derived wind data in support of the NERC funded South Georgia Wave (SG-WEX) and DRAGON-WEX: The Drake Passage and Southern Ocean Wave Experiments (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.
Data from the instrument are collected by the British Antarctic Survey and supplied to the Centre for Environmental Data Analysis (CEDA) for long-term archiving.
Flood Risk for Extreme Events (FREE): Radiosonde, Wind Profiles Data and Model Output from the Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting project
The Exploitation of new data sources, data assimilation and ensemble techniques for storm and flood forecasting Project is a NERC Flood Risk for Extreme Events (FREE) Research Programme project (Round 1 - NE/E002137/1 - Duration January 2007 - April 2010) led by Prof AJ Illingworth, University of Reading. This project investigates possible methods of producing ensemble weather forecasts at high-resolution. These ensembles will be used with raingauge and river flow to improve methods of flood forecasting. The dataset includes radiosonde and wind profiles in England and Wales derived using Doppler radar returns from insects. The radial velocity measurements from insects were converted into VAD profiles by fitting a sinusoid to radial velocities at constant range. All measured profiles have been interpolated to the instrument location. Model output files from experiments assimilating radial winds from insects are also available. Floods in the UK are often caused by extreme rainfall events. At present, weather forecasts can give an indication of a threat of severe storms which might cause flash floods, but are unable to say precisely when and where the downpours will occur, due to the complex range of processes and space-time scales involved. The first stage is to predict the air motions leading to convergence and ascent at a certain location where the precipitation will be initiated, then the development of the precipitation needs to be forecast, and hydrological models used to produce accurate, quantitative, probabilistic flood predictions. Data assimilation is a sophisticated mathematical technique that combines observations with model predictions to give an analysis of the current state of the atmosphere. This analysis may be used to initialise a weather forecast. Although precipitation is well observed by weather radar, attempts to assimilate radar data have had little success; by the time the rain develops the forecast model state is too far from the truth and the air motions are inconsistent with the position of the first radar precipitation echo. We propose to overcome this problem by assimilating new types of data from weather radars. These provide information on the evolving humidity fields and air motions in the lower atmosphere so that the model can accurately track the developing storm before precipitation appears. The model used will be a new Met Office model that can be run with a resolution (i.e., grid-spacing) of order 1-4km. This enables storm-cloud motions to be explicitly calculated, rather than treated as a sub-grid-scale effect. Furthermore, current operational forecast models are only updated with observations every few hours; in the new approach the model will be updated much more frequently. This should yield weather forecasts with improved locations (in space-time) for rainfall events. Initialisation errors are not the only cause of inaccuracies in storm-scale weather forecasts. Models are often run only for a small region of the world, and the data on the boundaries of this area provided from a larger-scale model. These data are known as lateral boundary conditions. Errors in these lateral boundary conditions and modelling errors also contribute to the errors in the forecast. Even if these errors were reduced, the nonlinear nature of the storm dynamics ensures that there is a limit, beyond which the value of deterministic forecasts becomes questionable. After that point it becomes important to determine the uncertainties in the forecast precipitation, so an ensemble approach is required. (An ensemble is a collection of perturbed forecasts that may be considered as a statistical sample of the forecast probability distribution.) The appropriate construction of a storm-scale ensemble is an open question. We propose a structured approach where perturbations will be designed on the basis of physical insight into convective forcing mechanisms. The resulting probabilistic rainfall forecasts can be interfaced to hydrological models used for flood forecasting. For the first time, this project will allow different scales of application of these methods to be supported: ranging from localised flash flooding of small catchments, through to indicative first-alert forecasting with UK-coverage and forecasting of river discharges to the sea. The project will also assess the impacts of improvements in numerical weather prediction on flood forecast performance. In this project we anticipate fruitful interactions between the different disciplines of observations and measurement, meteorology and hydrology. Radar assimilation software development and ensemble forecasts will take place using Met Office models, so improvements can be implemented operationally very easily. The use of operational radars makes this project well placed to take advantage of data from any extreme events occurring during the period of the study.
https://catalogue.ceda.ac.uk/uuid/5565b28f7da0402ca12e20ae9a9e7c24 5565b28f7da0402ca12e20ae9a9e7c24
Indoor air population study: Volatile Organic Compounds (VOC) concentrations
This dataset contains Volatile Organic Compounds (VOC) concentrations taken from a large, population-scale study, which was conducted for a total of 19 weeks during the winter and summer of 2019. VOC concentration data were collected for 39 VOC species across 60 houses in Ashford, United Kingdom. Samples were collected in evacuated stainless-steel canisters over 72 hours using restricted flow inlets. A number of houses were randomly selected to also collect an outdoor sample. Each household, per campaign, was associated with at least three canister IDs and some with an additional outdoor sample. This dataset contains information on all VOCs collected, listing in which season each sample was taken, the associated canister ID and the analytical instrument with which each VOC was measured. Household, demographic, and product use information is available, as is a logbook outlining further sample information.
Data were collected by the University of York in collaboration with Givaudan UK, who provided a cohort of study participants and aided in survey design. Data were then sent for archiving at the Centre for Environmental Data Analysis (CEDA).
Land Cover Map 2015 (1km percentage target class, N. Ireland) Web Map Service
This web map service (WMS) is the 1km percentage target class version of the Land Cover Map 2015 (LCM2015) for Northern Ireland. It shows the percentage cover for each of 21 land cover classes for 1km x 1km pixels. The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats.
The following copyright notice should be placed on all copies of information or images derived from the web map service: Based upon LCM2015 © UKCEH 2017
https://catalogue.ceda.ac.uk/uuid/64ee8b9d6e0048cfa903f1c21937b83a 64ee8b9d6e0048cfa903f1c21937b83a
HadISD: Global sub-daily, surface meteorological station data, 1973-2012, v1.0.1.2012p
This is version 1.0.1.2012p of HadISD the Met Office Hadley Centre's global sub-daily data, extending v1.0.0.2011f to span 1/1/1973 - 31/12/2012. The quality controlled variables in this dataset are: temperature, dewpoint temperature, sea-level pressure, wind speed and direction, cloud data (total, low, mid and high level). Past significant weather and precipitation data are also included, but have not been quality controlled, so their quality and completeness cannot be guaranteed. Quality control flags and data values which have been removed during the quality control process are provided in the qc_flags and flagged_values fields, and ancillary data files show the station listing with a station listing with IDs, names and location information. The data are provided as one NetCDF file per station. Files in the station_data folder station data files have the format "station_code"_HadISD_HadOBS_19730101-20121231_v1-0-1-2012p.nc. The station codes can be found under the docs tab or on the archive beside the station_data folder. The station codes file has five columns as follows: 1) station code, 2) station name 3) station latitude 4) station longitude 5) station height. To keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS. For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISD blog: http://hadisd.blogspot.co.uk/ References: When using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference) : Dunn, R. J. H., et al. (2012), HadISD: A Quality Controlled global synoptic report database for selected variables at long-term stations from 1973-2011, Clim. Past, 8, 1649-1679, 2012, doi:10.5194/cp-8-1649-2012 Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1
HadISD the global sub-daily station dataset is produced by the Met Office Hadley Centre. It is based on the ISD dataset from NOAA's NCDC. HadISD has been passed to the BADC for archiving and distribution.
https://catalogue.ceda.ac.uk/uuid/16d91241bbbd409f8ead21f40dc3745f 16d91241bbbd409f8ead21f40dc3745f
MSG: Visible imagery at 0.8 micron over Western Europe
The Meteosat Second Generation (MSG) satellites, operated by EUMETSAT (The European Organisation for the Exploitation of Meteorological Satellites), provide almost continuous imagery to meteorologists and researchers in Europe and around the world. These include visible, infra-red, water vapour, High Resolution Visible (HRV) images and derived cloud top height, cloud top temperature, fog, snow detection and volcanic ash products. These images are available for a range of geographical areas. This dataset visible images from MSG satellites over Western Europe. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old. The geographic extent for images within this datasets is available via the linked documentation 'MSG satellite imagery product geographic area details'. Each MSG imagery product area can be referenced from the third and fourth character of the image product name giving in the filename. E.g. for EEAO11 the corresponding geographic details can be found under the entry for area code 'AO' (i.e West Africa).
Restricted data: please submit an application using the REQUEST ACCESS link for access.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/msg.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data obtained by satellite from March 2005, prepared by the Met Office and stored in the BADC archive.
Met Office Lerwick station high resolution radiosonde data
Met Office high resolution (2 second) radiosonde data from the Lerwick station, Shetland Islands, from 1999 to present. The data consist of vertical profiles of pressure, temperature, relative humidity, humidity mixing ratio, sonde position, wind speed and wind direction. Measurements are taken at 2 second intervals and the ascents extend to heights of approximately 20-30 km.
These data have multiple licences for different applications. Always make sure to read the appropriate licence for full data usage limitations details. Other usage may not be permitted. Restricted data: please submit an application using the REQUEST ACCESS link for access.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement.pdf, appropriate use of these data may fall under academic use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/ukmo_agreement_gov.pdf, appropriate use of these data may fall under policy use. This message is intended as guidance, always read the full licence. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record.
Data are collected by the stations carrying out the radiosonde ascents and then transmitted back to the Met Office headquarters in Exeter. The ascent files are then delivered to the BADC for ingesting into the archive approximately 1 month in arrears.
https://catalogue.ceda.ac.uk/uuid/ba34cd217a8c49548f6fe62254b79fac ba34cd217a8c49548f6fe62254b79fac
University of Bath: Esrange Skiymet meteor radar data (2000-2018)
The University of Bath's meteor radar located at the Esrange Space Centre in Northern Sweden (67.88 N, 21.07E) , is an all-sky VHF (Very High Frequency) meteor radar commercially produced Skiymet system. It was operated by the University of Bath from October 1999 to October 2015 - albeit with some gaps in the data coverage. In October 2015, Esrange took over operation of the radar. Meteor detection and derived wind data from this instrument are available from July 2000 to June 2018. 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.
Data from the instrument are produced by the instrument's SKiYCORR analysis programme before being collected by Genesis Software, the instrument manufacturer, who then supplied the data to the Centre for Environmental Data Analysis (CEDA) for long-term archiving.
Description of the meteor position data (MPD) files of a SKiYMET meteor radar
Description of the format and methodology of the Horizontal Wind Data (HWD) files of a SKiYMET meteor radar
MSG satellite imagery geographic area codes and bounding box information.
Irish Climate and Research UnitS (ICARUS)
National Centers for Environmental Information - NOAA (NCEI-NOAA)
National Center for Atmospheric Research (NCAR)