(My organization)
Continents, countries, sea regions of the world.
https://catalogue.ceda.ac.uk/uuid/7fb8fd2761484b1eae4f7df4a3e65f75 7fb8fd2761484b1eae4f7df4a3e65f75
ESA Aerosol Climate Change Initiative (Aerosol_cci): Level 3 aerosol products from GOMOS (AERGOM algorithm), Version 3.00
The ESA Climate Change Initiative Aerosol project has produced a number of global aerosol Essential Climate Variable (ECV) products from a set of European satellite instruments with different characteristics. This dataset comprises Level 3 gridded stratospheric aerosol properties from the GOMOS instrument on the ENVISAT satellite. This version of the data is version 3.00, and has been derived using the AERGOM algorithm by BIRA (Belgian Institute for Space Aeronomy). For further details about these data products please see the linked documentation.
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/esacci_aerosol_terms_and_conditions.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 processed by the ESA CCI Aerosol project team and supplied to CEDA in the context of the ESA CCI Open Data Portal Project.
Qualitative Interviews with Women in Greater Manchester (UK) about their conceptualizations of air pollution and a city with clean air
This dataset contains semi-structure qualitative interview transcripts (n=30) with women in Greater Manchester, about how they conceptualize air pollution and envision a city with clean air. This data has been fully anonymized by the author. The data collection took place between 2018 and 2019. Interviews were designed to last approximately 1h. The questioning route received full ethical approval from Manchester Metropolitan University Academic Ethics Committee. Participants were recruited following a purposive sampling technique, assuring that the people being interviewed are relevant to the research question and that different segments of the population are interviewed. This was complemented with a snowball sampling technique to expand the sample size of relevant interviewees. Before the interviews started, the background of the researcher, the project, as well as the structure of the interviews were explained to the participants, and verbal consent was asked to proceed with the interview, to record, and to use the data in the form of papers or conference presentations, as well as to make the data publicly available. The interviews were composed of two sections. The first part gathered data in relation to socio-demographic factors to make sure that women with different backgrounds were represented (i.e. age, ethnicity, nationality, number of children, occupation, co-habitation, responsibility for unpaid work, carbon footprint, and main form of transport). The second part contained questions about the present of air pollution and about the future of Greater Manchester and cleaner air. The questions were: (1) How do you feel when you hear the term air pollution? (2) How would you describe air pollution in your own words? (3) Which of your daily activities contribute to air pollution the most? (4) Is air pollution a concern for you? (5) Do you think Greater Manchester is polluted, and do you recognize any places as being more polluted than others? (6) When you decide on a form of transport, what do you value most? (7) How do you feel when you hear a city with clean air? (8) How would you describe a city with clean air? (9) If you could change anything in Greater Manchester, so that it becomes a city with clean air, what would you change? Sample description: 30 women in Greater Manchester. Age: < 40 (14 participants), 40-60 (11 participants), > 60 (5 participants). Nationality: British (23 participants), Other nationalities (7 participants). Ethnicity: White (25 participants) Other ethnic groups (5 participants). Occupation: Policy-maker (3 participants), Teacher (4 participants), University lecturer or researcher (6 participants), Student (2 participants), Environmental manager (2 participants), Business professional (3 participants), Architect (1 participants), Service and sales worker (3 participants), Retired (6 participants). Children: Yes (17 participants), No (13 participants). Responsibility for unpaid work: Myself (9 participants), 50% - 50% split (6 participants), Me > 50% (10 participants), Me < 50% (5 participants). Co-habitation: Alone (4 participants), Partner (16 participants), Partner and children (6 participants), Children (3 participants), Flatmate (1 participants). Main form of transport: Car (11 participants), Walk (9 participants), Public transport (6 participants), Bike (4 participants). Carbon footprint: High (23 participants), Low (7 participants). ",
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.
These data have been fully anonymised by the author and delivered to the Centre for Environmental Data Analysis for archiving.
Climate of the last millenium UV solar model experiments
This dataset contains UV solar model experiment data using the Hadley Centre Global Environmental Model version 3 at the Global Coupled model 2.0 (HadGEM3 GC2) configuration (Williams et al 2015). The model was used as part of the Natural Environment Research Council (NERC) Climate of the LAst Millennium (CLAM): An Integrated Data-Model Approach to Reconstruct and Interpret Annual Variability in North Atlantic Circulation project (NE/N001176/1). The model performs step changes in the UV forcing and integrate for 50 years to identify multi-decadal changes due to solar radiation adjustment. The simulations are 0.25 degree ocean resolution (eddy-permitting) and so ocean dynamics and ocean-atmosphere coupling are more realistic than in models used in previous work evaluating the effect of UV forcing. Each simulation has an equivalent control simulation, and an experiment with a total solar irradiance change in addition to the UV forcing experiments.
Access to these data is available to any registered CEDA user. Please Login or Register for a CEDA account to gain access.
The simulations were performed on Monsoon at the Met Office, data downloaded onto JASMIN before archiving at Centre for Environmental Data Analysis (CEDA).
NIALL: Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data
This dataset contains Meteoric Ablation Simulator (MASI) sodium and nickel ablation experimental data, where samples were heated in vacuum chamber with Na and Ni and detected by laser induced fluorescence. The data are Laser induced fluorescence (LIF) profiles of Ni and Na from ablating particles (powdered meteorite or meteorite proxy). This experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.
Data were collected by the University of Leeds and sent to the Centre for Data Analysis (CEDA) for archiving.
NIALL: Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids
This dataset contains Chemical Ablation Model version 3 (CABMOD3) simulations of metal ablation from meteoroids. This experiment was undertaken as part of Natural Environment Research Council (NERC) First study of the global Nickel and Aluminium Layers in the upper atmosphere (NIALL) project (NE/P001815/1). This project aimed to make the first ever study of Ni and Al chemistry in the mesosphere/lower thermosphere.
Data was collected by the University of Leeds and sent to the Centre for Data Analysis (CEDA) for archiving.
https://catalogue.ceda.ac.uk/uuid/f46b14e670fc49cbaadf108c969e7ee0 f46b14e670fc49cbaadf108c969e7ee0
CP4A-Present: Present-day climate predictions for Africa
Ten years of present-day Climate Predictions for Africa (CP4A-present) data were produced by the NERC funded IMPALA (Improving Model Processes for African cLimAte) project team using the Met Office Unified Model (4.5km horizontal grid spacing) and are valid from 1997-2007. Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation and surface sensible heat flux. The IMPALA project is within the Future Climate for Africa (FCFA) programme. Here a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies.
The data were passed from the project team to the Centre for Environmental Data Analysis for archival and distribution.
https://catalogue.ceda.ac.uk/uuid/4e362effa16146abbe45c2c58f1e54ed 4e362effa16146abbe45c2c58f1e54ed
P25-Present: Present-day 25km regional pan-Africa data
Ten years of present-day 25km regional pan-Africa (P25: Present) data were produced by the NERC funded IMPALA (Improving Model Processes for African cLimAte) project team using the Met Office Unified Model and are valid from 1997-2007. Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation, surface latent heat flux and surface sensible heat flux. The IMPALA project is within the Future Climate for Africa (FCFA) programme. Here a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies.
https://catalogue.ceda.ac.uk/uuid/8f8eab18b07e420a9b7230d86ed172fe 8f8eab18b07e420a9b7230d86ed172fe
P25-Future: Future 25km regional pan-Africa data
The future 25km regional pan-Africa (P25: Present) data were produced using the Met Office's Unified Model, the IMPALA (Improving Model Processes for African cLimAte) project ran a ten year timeslice simulation that is representative of end the 21st century (2095-2105) using a 30-year averaged sea surface temperature (SST) anomaly (2085-2115 relative to 1975-2005). Parameters include (but not limited to); near-surface air temperature, outgoing longwave radiation, surface latent heat flux and surface sensible heat flux. The NERC funded IMPALA project is within the Future Climate for Africa (FCFA) programme. Here a subset of variables of the data produced is provided in NetCDF format for community reuse, variables are available at a range of temporal frequencies.
https://catalogue.ceda.ac.uk/uuid/e9aee1f49d2d49edbbfa948c32bfd457 e9aee1f49d2d49edbbfa948c32bfd457
Methane Observations and Yearly Assessments (MOYA): Atmospheric carbon dioxide and methane measurements taken from Bachok Marine Research Station, Malaysia
This dataset contains atmospheric carbon dioxide and methane measurements taken from Bachok Marine Research Station, Malaysia using Los Gatos Research (LGR) Fast Greenhouse Gas Analyser (FGGA) from 2015 to present. LGR FGGA measures trace concentrations of methane (CH4), carbon dioxide (CO2) and water vapor (H2O) simultaneously in flowing gaseous samples (usually air) at rates up to ≥10 Hz. Backok Research Station is located on the east coast of Malaysia, within 100 m of the waters' edge of the South China Sea. This facility is part of the Institute of Ocean and Earth Sciences (IOES) at the University of Malaya (UM). An atmospheric observation tower has been built on the windward side of the main building, for the specific purpose of studying long range transported pollution, air sea exchange, and coastal meteorology. The UK participation of the Methane Observations and Yearly Assessments (MOYA) project was funded by the Natural Environment Research Council (NERC, grant: NE/N015584/1).
Data were collected, quality controlled and prepared for archiving by the Atmospheric Measurement Facility (AMF) instrument scientists before upload to the Centre for Environmental Data Analysis (CEDA) for long term archiving.
UKCP Local Projections at 2.2 km Resolution for 1980-2080
Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2 km), helping to inform adaptation to a changing climate. The projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations. This dataset contains 2.2 km data for the UK on the 2.2 km rotated pole grid. Further information on this dataset and UKCP18 can be found in the documentation section. Note that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section.
Stratton, R. A. et al. A pan-Africa convection-permitting regional climate simulation with the Met Office Unified Model: CP4-Africa. 2018. J. Climate https://doi.org/10.1175/JCLI-D-17-0503.1 .
Kendon, E.J., R. A. Stratton, S. Tucker, J.H. Marsham, S. Berthou, D.P. Rowell, C.A. Senior, 2019. Enhanced future changes in wet and dry extremes over Africa at convection-permitting scale. Nature Comms., 10, 1794
UKCP18 Guidance on data, access and formats
Further information on this dataset and UKCP18
Centre for Environmental Data Analysis (CEDA)
NERC EDS Centre for Environmental Data Analysis
UKCP Local Projections by Administrative Regions over the UK for 1980-2080
Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. The projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations. This dataset contains 2.2km data regionally averaged to 16 UK Administrative Regions. Further information on this dataset and UKCP18 can be found in the documentation section. Note that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section.
https://catalogue.ceda.ac.uk/uuid/c9ffb25353964ae1ae071de0c46edb08 c9ffb25353964ae1ae071de0c46edb08
UKCP Local Projections by UK Countries for 1980-2080
Convection permitting climate model projections produced as part of the UK Climate Projection 2018 (UKCP18) project. The data produced by the Met Office Hadley Centre provides information on changes in climate for the UK until 2080, downscaled to a high resolution (2.2km), helping to inform adaptation to a changing climate. The projections cover the UK and the time period 01/12/1980 to 30/11/2080 for a high emissions scenario RCP8.5. Each projection provides an example of climate variability in a changing climate, which is consistent across climate variables at different times and spatial locations. This dataset contains 2.2 km data regionally averaged for 8 "country" regions across the UK including England, England and Wales, Northern Ireland, Scotland, United Kingdom, Wales. Further information on this dataset and UKCP18 can be found in the documentation section. Note that the first version of this data covered three time slices (1981-2000, 2021-2040 and 2061-2080), and in March 2023 the remaining time slices (2001-2020, 2041-2060) were added. In December 2024, an additional four downscaled CMIP5 members were added . Also note that the data for the three time slices (1981-2000, 2021-2040 and 2061-2080) were updated during summer 2021, after the correction of a coding error relating to graupel. Full details can be found on the Met Office website, on the UKCP Project News page in the documentation section