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FAAM B404 ADIENT and CAVIAR 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 ADIENT (Appraising the Direct Impacts of aErosol oN climaTe) project, Part of the APPRAISE (Aerosol Properties, PRocesses And Influences on the Earth's climate) Program and Continuum Absorption in the Visible and Infrared and its Atmospheric Relevance (CAVIAR).
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.
https://catalogue.ceda.ac.uk/uuid/a9a25aa5b9304366a233d6f7fa88cbf5 a9a25aa5b9304366a233d6f7fa88cbf5 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.3hr.pr.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.3hr.ps.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.3hr.rsds.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.3hr.uas.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.3hr.vas.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.AERmon.od550aer.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.evspsbl.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.hurs.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.huss.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.pr.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.prsn.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.ps.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.rlds.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.rlus.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.rlut.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.rsds.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.rsdt.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.rsus.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.rsut.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.sfcWind.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.tas.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.tasmax.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.tasmin.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.tauu.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.tauv.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.uas.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Amon.vas.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Emon.sfcWindmax.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.LImon.snw.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Lmon.gpp.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Lmon.mrso.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Lmon.npp.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Odec.tos.gn.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Omon.phos.gn.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Omon.prsn.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.Omon.tos.gn.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.SIday.siconc.gn.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.SImon.siconc.gn.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.hurs.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.mrso.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.pr.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.prsn.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.rlds.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.rlus.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.rlut.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.rsds.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.rsus.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.sfcWind.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.sfcWindmax.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.snw.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.tas.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.tasmax.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.tasmin.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.uas.gr.v20200709.v20200709 CMIP6.GeoMIP.IPSL.IPSL-CM6A-LR.G6sulfur.r1i1p1f1.day.vas.gr.v20200709.v20200709
WCRP CMIP6: Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the "G6sulfur" experiment
The World Climate Research Program (WCRP) Coupled Model Intercomparison Project, Phase 6 (CMIP6) data from the Institut Pierre-Simon Laplace (IPSL) IPSL-CM6A-LR model output for the "stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245" (G6sulfur) experiment. These are available at the following frequencies: 3hr, AERmon, Amon, Emon, LImon, Lmon, Odec, Omon, SIday, SImon and day. 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.
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/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 Institut Pierre-Simon Laplace (IPSL) scientists before publication via the Earth Systems Grid Federation (ESGF) and a copy obtained by the Centre for Environmental Data Analysis (CEDA).
MSG: RGB 'False Colour' 321 product daytime images over the West Africa and the Azores
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 RGB 'False Colour' 321 Product images from MSG satellites over West Africa and the Azores. Imagery available from March 2005 onwards at a frequency of 15 minutes (some are hourly) and are at least 24 hours old. RGB images are composite images generated by combining two or more channels and displaying in colour. The naming convention describes which channel is assigned to the red, green and blue colours. For example RGB 321 means that channel 3 (1.6 micron) is on the red, channel 2 (0.8 micron) is on the green and channel 1 (0.6 micron) is on the blue. This combination can then highlight different physical features through the differing amounts of red, green and blue and hence give a unique colour to that feature. In this case, turquoise clouds contain ice crystals, whilst white clouds are water clouds (inc. fog). Vegetation creates a green signal and sandy areas are pink. Snow covered ground is turquoise. Note: a change in product can be seen from a change to software implemented on 25/11/2013 where the scaling and gamma correction of the R, G, and B channels were tuned to give an improved image, in effect lightening the brighter colours in the image image. 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.
https://catalogue.ceda.ac.uk/uuid/f50120df59364cf9ab90ebfe387a64c4 f50120df59364cf9ab90ebfe387a64c4
FAAM B143 MICROMIX 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 MICROwave investigation of MIXed phase cloud (MICROMIX) project.
Ground based measurements of carbon dioxide, methane and nitrous oxide taken from Wayqecha (upper montane forest) in the Peruvian Andes (2010-2013)
The dataset contains concentrations of carbon dioxide, methane and nitrous oxide which were collected in discrete air samples between 17th December 2010 and 5th July 2013 by the University of St Andrews Thermo TRACE Gas Chromatograph Ultra at Wayqecha, an upper montane forest ecosystem ground site, in the Peruvian Andes. Data were collected tor the NERC project: 'Are tropical uplands regional hotspots for methane and nitrous oxide?' (NERC grant awards: NE/H007849/1, NE/H006753/1 and NE/H006583/2).
Data collected, processed and checked by the project team prior to delivery to the Centre for Environmental Data Analysis (CEDA) for ingestion into the CEDA archives.
https://catalogue.ceda.ac.uk/uuid/b735718d66c1403fbf6b93ba3bd3b1a9 b735718d66c1403fbf6b93ba3bd3b1a9
A-CURE: Monthly mean perturbed parameter ensemble data
A-CURE was a NERC funded project that tackled one of the most challenging and persistent problems in atmospheric science – understanding and quantifying how changes in aerosol particles caused by anthropogenic activities affect climate. The data here are monthly mean variable data from a large perturbed parameter ensemble of UKESM1 simulations, nudged to horizontal winds above around 2km. Each variable has 220 or 221 members, as indicated in file names. Some months have one fewer member because a model variant repeatedly did not run to completion due to combined model parameter values. The 221 members are model variants that combine the effects of 54 aerosol and physical atmosphere parameters. Variable data in this ensemble span the uncertainty in UKESM1 from these parametric sources.
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA). Data were generated using the Met Office UK Earth System Model 1 (UKESM1) at N96 horizontal resolution. Data from field files were converted to postprocessed (pp) files on the ARCHER HPC. Variable data from each model variant was extracted from pp files on the JASMIN HPC and collated into individual monthly mean files for each variable.
https://catalogue.ceda.ac.uk/uuid/9f8dfaf790644dbcb2c3f69f409a70d6 9f8dfaf790644dbcb2c3f69f409a70d6
UKCP18 Probabilistic Projections on a 25km grid over the UK for 1961-2100
This data represents the probabilistic climate projections component of the past (observed) and future climate scenario projections data, produced as part of the UK Climate Projections 2018 (UKCP18) project. Data has been produced by the UK Met Office Hadley Centre, and provides information on changes in 21st century climate for the UK, helping to inform adaptation to a changing climate. The data represents anomalies with respect to the baseline periods 1961-1990, 1981-2000 and 1981-2010, and cover the period 1 Dec 1960 to 30 Nov 2099. Gridded data on a 25km grid over the United Kingdom, the Isle of Man and the Channel Islands is provided. The Probabilistic Projections were updated on 4th August 2022, to make improvements to the methodology to improve: consistency between maximum, minimum and mean temperature; consistency in the downscaling; statistical treatment of precipitation particularly at the wet and dry extremes; representation of annual and decadal variability; and adjustment of the data in the 1981-2000 baseline period to ensure the anomalies average to zero. The combination of the improvements means that all variables are modified to some degree. For more information, please refer to the UKCP news article and the documents it links to. On 11th February 2025, the Probabilistic Projections were updated to include information at global warming levels. This information is available for each of the RCP scenarios as cumulative distribution frequency data. Further information about this global warming levels data and approach can be found in the relevant UKCP news article and the guidance document it links to.
https://catalogue.ceda.ac.uk/uuid/c725c6ea1cd84c8792b677aa581bcb5d c725c6ea1cd84c8792b677aa581bcb5d
ICECAPS-ACE: surface wind profiles taken at Summit Station, Greenland
This dataset contains near-surface wind profile from four sonic anemometers distributed on the 15 m tower at Summit Station, Greenland, detected by Lufft VentusX, heated 2D sonic anemometer, and Metek uSonic-3 scientific, heated 3D sonic anemometer. Data are 1 minute averages concatenated into monthly files. These data were collected as part of the joint Natural Environmental Research Council (NERC) and US National Science Foundation (NSF) -funded Integrated Characterisation of Energy, Clouds, Atmospheric state, and Precipitation at Summit - Aerosol Cloud Experiment (ICECAPS-ACE) project. These data were continued through the 3 year extension to the ICECAPS-ACE project called ICECAPS-MELT.
Data were collected by the ICECAPS project team and deposited at the Centre for Environmental Data Analysis (CEDA) for archiving.
UK-Japan Climate Collaboration (UJCC) Model Matrix data
Earth-system modelling data from the UK-Japan Climate Collaboration (UJCC). The project is a joint project between the Hadley Centre (DEFRA) and the NCAS-CGAM (Centre for Global Atmospheric Modelling) at the University of Reading. UJCC makes use of a broad group of models in order to systematically explore the role and value of resolution in climate system research. The dataset comprises of UJCC 30 year simulations from models at resolutions of either (1.25 lat x 1.875 lon) or (0.83 lat x 1.25 lon) with differing degrees of atmosphere-ocean coupling (1 degree ocean or 1/3 degree ocean). The dataset also includes NUGAM (Nihon-UK Global Environmental Model) Atmosphere only simulations and NUGEM Coupled atmosphere and ocean simulations which are both at the same resolution (0.83 lat x 0.56 lon, corresponding to ~60 km in mid-latitudes).
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/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.
Data were made available to the BADC from the UK-Japan Climate Collaboration (UJCC) team in Japan and transferred directly from the Japanese supercomputer to the BADC archive.
Invisible Tracks: Collocation of wind-advected ship locations and shipping emissions with data from the MODIS cloud product
This dataset contains data from the MODIS (Moderate Resolution Imaging Spectroradiometer) cloud product, collocated to wind-advected ship locations and shipping emissions. Most importantly, it includes effective droplet radii, calculated droplet number concentration, liquid water path, and cloud optical depth for locations where clouds have been polluted by shipping and to either side of a ship trajectory. Cloud data in the trajectory is labelled with the variable name only, data on either side additionally with [property]_1 and [property]_3 for the western and eastern side, respectively. The data is ungridded and comes in the form of csv files. It covers the period of 2014-2019. The dataset is the product of three data sources: AIS data giving ship locations, ERA5 winds used to advect the emissions up to the time of the Aqua and Terra overpasses, as well as the level-2 cloud product MOD06. This data was collected for the study of shipping aerosols' effect on marine liquid clouds, in particular when the emissions do not produce a satellite-visible ship track, which could be hand-logged.
Data were produced by the project team and supplied for archiving at the Centre for Environmental Data Analysis (CEDA).
Flight summary file for FAAM BAE-146 flight B404
Flight track for FAAM BAE-146 flight B404
CMIP6 ES-Doc ensemble member r1i1p1f1 entry for the G6sulfur run with IPSL-CM6A-LR model.
Detailed experiment description for: "stratospheric sulfate aerosol injection to reduce net forcing from SSP585 to SSP245" (G6sulfur)
Official CMIP6 DOI Citation: Boucher, Olivier; Denvil, Sébastien; Levavasseur, Guillaume; Cozic, Anne; Caubel, Arnaud; Foujols, Marie-Alice; Meurdesoif, Yann; Lurton, Thibaut (2020). IPSL IPSL-CM6A-LR model output prepared for CMIP6 GeoMIP G6sulfur. Version YYYYMMDD*.Earth System Grid Federation. https://doi.org/10.22033/ESGF/CMIP6.5059
MSG satellite imagery geographic area codes and bounding box information.
Flight track for FAAM BAE-146 flight B143
Methane and nitrous oxide fluxes across an elevation gradient in the tropical Peruvian Andes
Drivers of atmospheric methane uptake by montane forest soils in the southern Peruvian Andes
UKCP18 Guidance on data, access and formats
UKCP18 Guidance - caveats and limitations
Historical and complementary ICECAPS Data
Code used to produce the dataset (DOI: 10.5281/zenodo.6556425)
Text file containing further information on the dataset
NCAS British Atmospheric Data Centre (NCAS BADC)
Facility for Airborne Atmospheric Measurements (FAAM)
Natural Environment Research Council (NERC)
NERC EDS Centre for Environmental Data Analysis
Centre for Environmental Data Analysis (CEDA)
Data from the Photographic Camera and ATM Instruments on-board the Piper PA31 Navajo Chieftain G-NERC Aircraft during Flight 94/24 over the Teesmouth Area
The Airborne Research & Survey Facility (ARSF, formerly Airborne Remote Sensing Facility) is managed by NERC Scientific Services and Programme Management. It provides the UK environmental science community, and other potential users, with the means to obtain remotely-sensed data in support of research, survey and monitoring programmes. The ARSF is a unique service providing environmental researchers, engineers and surveyors with synoptic analogue and digital imagery of high spatial and spectral resolution.The NEODC holds the entire archive of Airborne Thematic Mapper (ATM) and Compact Airborne Spectrographic Imager (CASI) data acquired by the NERC ARSF. High-resolution scanned digital versions of the entire collection of analogue photographs are now also available as well as selected LiDAR-derived elevation and terrain models for selected sites flown using the sensor.
Data have been provided to NEODC via a number of routes: Most data up to 2005 was provided directly from ARSF flight team (ARSF-Ops) or Andrew Wilson at CEH, on various media. Data since 2008 was mostly transferred to NEODC from ARSF-Data Analysis Node (DAN) in Plymouth via rsync. Data for 2006 - 2008 were provided partly from ARSF-DAN, partly from ARSF-Ops, and some from Andrew Wilson. Data from the ULM LiDAR instrument was provided, via FTP or on media, from ULM Cambridge. Scanned aerial photographs were provided by Bluesky Ltd, who carried out the digitisation, on LaCiE disks. Some data ("user_provided") was sent to NEODC by ARSF data users.
https://catalogue.ceda.ac.uk/uuid/8e2cf251897a44fe8aba5809ddcae6b5 8e2cf251897a44fe8aba5809ddcae6b5
FAAM B321 COPS flight: 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 collected for Convective and Orographically-induced Precipitation Study (COPS) project.
Flight summary file for FAAM BAE-146 flight B321
Flight track for FAAM BAE-146 flight B321
NERC Earth Observation Data Centre (NEODC)
Airborne Research and Survey Facility (ARSF)