NERC Data Catalogue Service
NERC Data Catalogue Service (Natural Environment Research Council)
Continents, countries, sea regions of the world.
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cmip5.output1.CCCma.CanCM4.decadal1970.mon.seaIce.OImon.r9i2p1.v20120601.v20120601
WCRP CMIP5: Canadian Centre for Climate Modelling and Analysis (CCCma) CanCM4 model output for the decadal1970 experiment
WCRP CMIP5: Canadian Centre for Climate Modelling and Analysis (CCCma) CanCM4 model output for the 10-year hindcast/prediction initialized in year 1970 (decadal1970) experiment. These data cover the following realms: aerosol, atmos, land, landIce, ocean and seaIce; at the following frequencies: day, fx and mon. The runs included the ensemble members: r0i0p0, r10i1p1, r10i2p1, r1i1p1, r1i2p1, r2i1p1, r2i2p1, r3i1p1, r3i2p1, r4i1p1, r4i2p1, r5i1p1, r5i2p1, r6i1p1, r6i2p1, r7i1p1, r7i2p1, r8i1p1, r8i2p1, r9i1p1 and r9i2p1. 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).
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 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 Canadian Centre for Climate Modelling and Analysis (CCCma) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
https://catalogue.ceda.ac.uk/uuid/e89eb9130df7817ec22cfd4b8a2ddeea e89eb9130df7817ec22cfd4b8a2ddeea
Chilbolton Facility for Atmospheric and Radio Research (CFARR) Copernicus Doppler Cloud Radar Data
Data were collected from the 31st of March 2004 to the 29th of March 2011 by the Copernicus Doppler cloud radar at Chilbolton Observatory, Hampshire. The dataset contains measurements of attenuated backscatter coefficients of aerosols within the atmosphere, and a full Doppler spectrum, and moments Z, v, and w.
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 are collected by 4 radar systems, of which the largest is the 3 GHz Doppler radar (CAMRa), and 4 lidar systems, at Chilbolton Observatory, Hampshire. Data are prepared by Chilbolton Facility for Atmospheric and Radio Research (CFARR) staff prior to submission to BADC for archiving.
HadUK-Grid Gridded Climate Observations on a 60km grid over the UK, v1.0.0.0 (1862-2017)
HadUK-Grid is a collection of gridded climate variables derived from the network of UK land surface observations. The data have been interpolated from meteorological station data onto a uniform grid to provide complete and consistent coverage across the UK. The data set at 60 km resolution is derived from the associated 1km x 1km resolution to allow for comparison to data from UKCP18 climate projections. The dataset spans the period from 1862 to 2017, but the start time is dependent on climate variable and temporal resolution. The grids are produced for daily, monthly, seasonal and annual timescales, as well as long term averages for a set of climatological reference periods. Variables include air temperature (maximum, minimum and mean), precipitation, sunshine, mean sea level pressure, wind speed, relative humidity, vapour pressure, days of snow lying, and days of ground frost. This data set supersedes the UKCP09 gridded observations. Subsequent versions may be released in due course and will follow the version numbering as outlined by Hollis et al. (2018, see linked documentation). The primary purpose of these data are to facilitate monitoring of UK climate and research into climate change, impacts and adaptation. The datasets have been created by the Met Office with financial support from the Department for Business, Energy and Industrial Strategy (BEIS) and Department for Environment, Food and Rural Affairs (DEFRA) in order to support the Public Weather Service Customer Group (PWSCG), the Hadley Centre Climate Programme, and the UK Climate Projections (UKCP18) project. The data recovery activity to supplement 19th and early 20th Century data availability has also been funded by the Natural Environment Research Council (NERC grant ref: NE/L01016X/1) project "Analysis of historic drought and water scarcity in the UK". The dataset is provided under Open Government Licence.
FAAM B281 VISURB 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 URBan VISibility in UK (VISURB) project.
Data were collected by instrument scientists during the flight before preparation and delivery for archiving at the NCAS British Atmospheric Data Centre.
EASOE: Ozonesondes measurements at Dikson, Russia
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 ozone and meteorology measurements.
Public data: access to these data is available to both registered and non-registered users.
Under the following licence https://artefacts.ceda.ac.uk/licences/missing_licence.pdf, appropriate use of these data may fall under unstated 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.
CD-ROM content uploaded as is into BADC archive for browsing purposes.
MSG: Visible imagery at 0.8 micron over the full disc with map (21/12/2006 to 09/04/2008)
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 contains visible images from MSG satellites over the full disc. 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.
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WCRP CMIP5: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM2p1 model output for the decadal1971 experiment
WCRP CMIP5: Geophysical Fluid Dynamics Laboratory (GFDL) GFDL-CM2p1 model output for the decadal1971 experiment. These data cover the following realms: atmos, land, landIce, ocean and seaIce; at the following frequencies: fx and mon. The runs included the ensemble members: r0i0p0, r10i1p1, r1i1p1, r2i1p1, r3i1p1, r4i1p1, r5i1p1, r6i1p1, r7i1p1, r8i1p1 and r9i1p1. 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).
Data were produced and verified by Geophysical Fluid Dynamics Laboratory (GFDL) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
https://catalogue.ceda.ac.uk/uuid/4a1f060a0f7045828533929de8870e29 4a1f060a0f7045828533929de8870e29 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Prim6hr.clt.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Prim6hr.hus4.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Prim6hr.pr.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Prim6hr.ps.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Prim6hr.rsds.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Prim6hr.ua4.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Prim6hr.va4.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOday.mlotst.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOday.so.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOday.tauuo.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOday.tauvo.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOday.thetao.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOday.zos.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.opottemptend.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.somint.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.tomint.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.u2o.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.uso.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.uto.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.v2o.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.vso.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.vto.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.w2o.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.wo.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.wso.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimOmon.wto.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimSIday.simassacrossline.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimSIday.sistrxdtop.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimSIday.sistrxubot.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimSIday.sistrydtop.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimSIday.sistryubot.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimSIday.sitimefrac.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.evspsbl.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.hus23.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.mrlsl.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.mrso.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.ta23.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.ts.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.ua23.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.va23.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.wap23.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.Primday.zg23.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimdayPt.ua.gn.v20190517.v20190517 PRIMAVERA.HighResMIP.MPI-M.MPI-ESM1-2-HR.highres-future.r1i1p1f1.PrimdayPt.va.gn.v20190517.v20190517
PRIMAVERA: Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the "highres-future" experiment
PRIMAVERA Project data from the Max Planck Institute for Meteorology (MPI-M) MPI-ESM1-2-HR model output for the "coupled future 2015-2050 using a scenario as close to CMIP5 RCP8.5 as possible within CMIP6" (highres-future) experiment. These are available at the following frequencies: Prim6hr, PrimOday, PrimOmon, PrimSIday, Primday and PrimdayPt. The runs included the ensemble member: r1i1p1f1. PRIMAVERA was a European Union Horizon2020 (grant agreement 641727) project.
Under the following licence https://artefacts.ceda.ac.uk/licences/specific_licences/CMIP6_Terms_of_Use.pdf, appropriate use of these data may fall under unclassified 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 Max Planck Institute for Meteorology (MPI-M) scientists before upload to the Centre for Environmental Data Analysis (CEDA) and publication via the Earth Systems Grid Federation (ESGF).
https://catalogue.ceda.ac.uk/uuid/b5e40597195048f3b21141831dc17c96 b5e40597195048f3b21141831dc17c96 cmip5.output1.BCC.bcc-csm1-1.sstClim4xCO2.day.atmos.day.r1i1p1.v20120910.v20120910 cmip5.output1.BCC.bcc-csm1-1.sstClim4xCO2.day.land.day.r1i1p1.v20120910.v20120910 cmip5.output1.BCC.bcc-csm1-1.sstClim4xCO2.day.landIce.day.r1i1p1.v20120910.v20120910 cmip5.output1.BCC.bcc-csm1-1.sstClim4xCO2.mon.atmos.Amon.r1i1p1.v20120910.v20120910 cmip5.output1.BCC.bcc-csm1-1.sstClim4xCO2.mon.land.Lmon.r1i1p1.v20120910.v20120910 cmip5.output1.BCC.bcc-csm1-1.sstClim4xCO2.mon.landIce.LImon.r1i1p1.v20120910.v20120910 cmip5.output1.BCC.bcc-csm1-1.sstClim4xCO2.monClim.atmos.Amon.r1i1p1.v20120910.v20120910
WCRP CMIP5: Beijing Climate Center (BCC) bcc-csm1-1 model output for the sstClim4xCO2 experiment
WCRP CMIP5: Beijing Climate Center (BCC) bcc-csm1-1 model output for the SST Climatology With 4XCO2 Forcing (sstClim4xCO2) experiment. These data cover the following realms: atmos, land and landIce; at the following frequencies: day, mon and monClim. 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).
Data were produced and verified by Beijing Climate Center (BCC) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
Zinc anelasticity (NERC grants NE/H016309/1, NE/L006898/1)
Synchrotron X-radiography (images) and diffraction data collected to measure anelasticity of zinc. NERC grant NE/H016309/1 - Experimental determination of mantle rheology. NERC grant NE/L006898/1 - The strength of the lower mantle.
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.
Available under the Open Government Licence subject to the following acknowledgement accompanying the reproduced NERC materials "Contains NERC materials ©NERC [year]"
We used a Deformation DIA combined with synchrotron X-rays. The deformation was driven sinusoidally. We collected images while driving the rams at seismic frequencies and analysed to images for the change in length of zinc sample and Al2O3 reference
CMIP5 Metadata Simulation Quality Control Report
CMIP5 File Metadata Quality Control procedure
Chilbolton Facility for Atmospheric and Radio Research (CFARR) website
Science and Technology Facilities Council (STFC) CAESAR webpage
Chilbolton Facility for Atmospheric and Radio Research (CFARR) Weather web
Met Office documentation on HadUK-Grid data
Hollis, D, McCarthy, MP, Kendon, M, Legg, T, Simpson, I. HadUK‐Grid—A new UK dataset of gridded climate observations. Geosci Data J. 2019; 00: 1– 9. https://doi.org/10.1002/gdj3.78
Flight summary file for FAAM BAE-146 flight B281
Flight track for FAAM BAE-146 flight B281
MSG satellite imagery geographic area codes and bounding box information.
Centre for Environmental Data Analysis (CEDA)
Canadian Centre for Climate Modelling and Analysis (CCCma)
NCAS British Atmospheric Data Centre (NCAS BADC)
Science and Technology Facilities Council (STFC)
Chilbolton Facility for Atmospheric and Radio Research (CFARR)
Natural Environment Research Council (NERC)
Facility for Airborne Atmospheric Measurements (FAAM)
Norwegian Institute for Air Research (NILU)
NERC EDS Centre for Environmental Data Analysis
Geophysical Fluid Dynamics Laboratory (GFDL)
Max Planck Institute for Meteorology (MPI-M)
TOMCAT/SLIMCAT Monthly Mean Ozone Output: 1979-2016
This dataset contains monthly mean ozone output between 1979-2016 simulated by the TOMCAT/SLIMCAT model. The data contains ozone and a passive odd-oxygen tracer that is set equal to the modelled chemical Ox =O(3 P)+O(1 D)+ O3 concentration on the first day every year and then advected passively without chemistry. It was simulated using the TOMCAT/SLIMCAT three-dimensional offline chemical transport model, using σ-p vertical coordinates and identical stratospheric chemistry and aerosol loading, solar flux input and surface mixing ratios of long-lived source gases. The long-term simulation (1979-2016) was performed with a T42 horizontal resolution of approximately 2.8° latitude × 2.8° longitude and 32 levels from the surface to 60 km. The model uses horizontal winds and temperature from the reanalysis data of the European Centre for Medium-Range Weather Forecasts. The TOMCAT/SLIMCAT model contains a detailed description of the distribution of chemical species for the troposphere and stratosphere including heterogeneous reactions on sulfate aerosols and liquid/solid polar stratospheric clouds either with a simple or full microphysical PSC scheme, as well as chemistry reactions of the oxygen, nitrogen, hydrogen, chlorine and bromine families. The model uses a hybrid σ-p or σ-θ vertical coordinate and has an option to run at different horizontal resolution forced by different meteorological reanalysis. Tracer transport uses the conservation of the second order moments scheme of Prather. Vertical advection is calculated from the divergence of the horizontal mass flux.
Data were processed by the project team and the monthly mean output is available from TOMCAT/SLIMCAT (RUN631) experiment. Data were archived as provided to the Centre for Environmental Data Analysis (CEDA).
2011, Talisman Sinopec Energy (UK) Ltd, MAR BLP, Platform Survey, DECC Reference Number 2435
An oil and gas industry site survey for a platform acquired under licence P019 between May and June 2011. The block number traversed was 22/17.
The metadata is freely available for general disclosure. The actual survey data is restricted.
This dataset was collected by Gardline Geosurvey Ltd on behalf of Talisman Energy (UK) Ltd and reported by Senergy through the PON 14 regulation. Data was collected using single beam echo sounder, multibeam echo sounder, side scan sonar, sub bottom profiler and ultra-high resolution seismic.
https://catalogue.ceda.ac.uk/uuid/8470f33ae7fb49baa9b585812c6d89ea 8470f33ae7fb49baa9b585812c6d89ea
European Incoherent Scatter Scientific Association (EISCAT) data
Packaged raw data from European Incoherent Scatter Scientific Association (EISCAT). If you require this data please contact the UK EISCAT Support Group directly. https://www.eiscat.rl.ac.uk/.
This data is a copy of the raw data from the official EISCAT data repository. It is principally a backup. The data was copied and packaged by UKSSDC staff.
Numerical advection by conservation of second‐order moments
New version of the TOMCAT/SLIMCAT off‐line chemical transport model: Intercomparison of stratospheric tracer experiments
On the Cause of Recent Variations in Lower Stratospheric Ozone
he ERA-Interim reanalysis: Configuration and performance of the data assimilation system
Three-Dimensional Model Study of the Antarctic Ozone Hole in 2002 and Comparison with 2000
Modelling the effect of denitrification on polar ozone depletion for Arctic winter 2004/2005
On the discrepancy of HCl processing in the core of the wintertime polar vortices