This dataset contains carbon dioxide and methane measurements from the Kirby Misperton site. British Geological Survey (BGS), the universities of Birmingham, Bristol, Liverpool, Manchester and York and partners from Public Health England (PHE) and the Department for Business, Energy and Industrial Strategy (BEIS), are conducting an independent environmental baseline monitoring programme near Kirby Misperton, North Yorkshire and Little Plumpton, Lancashire. These are areas where planning permission has been granted for hydraulic fracturing. The monitoring allows the characterisation of the environmental baseline before any hydraulic fracturing and gas exploration or production takes place in the event that planning permission is granted. The investigations are independent of any monitoring carried out by the industry or the regulators, and information collected from the programme will be made freely available to the public. ----------------------------------------------------------------------------------------------- If you use these data, please note the requirement to acknowledge use. Use of data and information from the project: "Science-based environmental baseline monitoring associated with shale gas development in the Vale of Pickering, Yorkshire (including supplementary air quality monitoring in Lancashire)", led by the British Geological Survey Permission for reproduction of data accessed from the CEDA website is granted subject to inclusion of the following acknowledgement: "These data were produced by the Universities of Manchester and York (National Centre for Atmospheric Science) in a collaboration with the British Geological Survey and partners from the Universities of Birmingham, Bristol and Liverpool and Public Health England, undertaking a project grant-funded by the Department for Energy & Climate Change (DECC), 2015-2016. " ----------------------------------------------------------------------------------------------------------

This dataset contains carbon dioxide and methane measurements from the Little Plumpton site. British Geological Survey (BGS), the universities of Birmingham, Bristol, Liverpool, Manchester and York and partners from Public Health England (PHE) and the Department for Business, Energy and Industrial Strategy (BEIS), are conducting an independent environmental baseline monitoring programme near Kirby Misperton, North Yorkshire and Little Plumpton, Lancashire. These are areas where planning permission has been granted for hydraulic fracturing.” The monitoring allows the characterisation of the environmental baseline before any hydraulic fracturing and gas exploration or production takes place in the event that planning permission is granted. The investigations are independent of any monitoring carried out by the industry or the regulators, and information collected from the programme will be made freely available to the public. ----------------------------------------------------------------------------------------------- If you use these data, please note the requirement to acknowledge use. Use of data and information from the project: "Science-based environmental baseline monitoring associated with shale gas development in the Vale of Pickering, Yorkshire (including supplementary air quality monitoring in Lancashire)", led by the British Geological Survey Permission for reproduction of data accessed from the CEDA website is granted subject to inclusion of the following acknowledgement: "These data were produced by the Universities of Manchester and York (National Centre for Atmospheric Science) in a collaboration with the British Geological Survey and partners from the Universities of Birmingham, Bristol and Liverpool and Public Health England, undertaking a project grant-funded by the Department for Energy & Climate Change (DECC), 2015-2016. " ----------------------------------------------------------------------------------------------------------

Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA. This dataset contains FAMOUS (FAst Met Office/UK Universities Simulator) glacial cycle model data from 150,000 years ago to present. The project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST have narrowed the field of ocean processes that could have caused glacial CO2 drawdown.

Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA. This dataset contains the Quaternary QUEST marine isotope data compilation for the last 150,000 years. The project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST have narrowed the field of ocean processes that could have caused glacial CO2 drawdown.

Longterm measurements of Atmospheric Carbon Dioxide at Weybourne Atmospheric Observatory (WAO) using a Siemens NDIR instrument operated by the NCAS (National Centre for Atmospheric Science) AMF (Atmospheric Measurement Facility). WAO, situated on the north Norfolk coast, is part of the School of Environmental Sciences at the University of East Anglia (UEA) and is a world class facility for fundemental research, background atmospheric monitoring and teaching purposes. WAO operates a range of instruments in its measurement programme - the data from which is archived at the BADC.

Quaternary QUEST was led by Dr Tim Lenton at UEA, with a team of 10 co-investigators at the Universities of Cambridge, Oxford, Reading, Leeds, Bristol, Southampton and at UEA. This dataset collection contains glacial and isotope model data. Over the last million years, the Earth has experienced a sequence of temperature oscillations between glacial and interglacial states, linked to variations in the Earth’s orbit around the sun. These climate oscillations were accompanied by changes in atmospheric CO2, but the fundamental reasons for this relationship are still unresolved. This project team aimed to compile a synthesis of palaeodata from sediments and ice cores, improve the synchronization of these records with each other, and use this greater understanding of the Earth’s ancient atmosphere to improve Earth system models simulating climate over very long timescales. A combined long-term data synthesis and modelling approach has helped to constrain some key mechanisms responsible for glacial-interglacial CO2 change, and Quaternary QUEST narrowed the field of ocean processes that could have caused glacial CO2 drawdown.

This dataset contains carbon dioxide and water vapour concentration measurements from the University of Leeds' LI-COR LI-7500 open path gas analyser mounted on board the Swedish Icebreaker Oden durning Arctic Cloud Summer Expedition (ACSE). ACSE took place in the Arctic during summer 2014. These measurements were used to complement a suite of other observations taken during the cruise. Those of the UK contribution, as well as selected other data, are available within the associated data collection in the Centre for Environmental Data Analysis (CEDA) archives. Other cruise data may be available in the NOAA ACSE and The Bolin Centre for Climate Research SWERUS (SWEdish-Russian-US) holdings - see online resources linked to this record. The instrument's sensing head was located on the foremast of Icebreaker Oden, approximately 1 m forward of the sonic anemometer. Note the LiCOR LI-7500 CO2 data are generally not suitable for flux measurements at sea. Only the water vapour signal has been used for flux analysis. Data times were truncated to match those from the sonic anemometer and the internal lag was corrected for. Users should also note that the instrument's temperature and pressure measurements are made inside the interface box. Temperature is thus likely to be high due to solar heating of box, and pressure will be biased low (box is ~3 m below sensor) and may be subject to dynamic pressure fluctuations resulting from airflow around pressure inlet. Measurements are made at 20 Hz frequency. The Arctic Cloud Summer Expedition (ACSE) was a collaboration between the University of Leeds, the University of Stockholm, and NOAA-CIRES. ACSE aimed to study the response of Arctic boundary layer cloud to changes in surface conditions in the Arctic Ocean as a working package of the larger Swedish-Russian-US Investigation of Climate, Cryosphere and Carbon interaction (SWERUS-C3) Expedition in Summer 2014. This expedition was a core component to the overall SWERUS-C3 programme and was supported by the Swedish Polar Research Secretariat. ACSE took place during a 3-month cruise of the Swedish Icebreaker Oden from Tromso, Norway to Barrow, Alaska and back over the summer of 2014. During this cruise ACSE scientists measured surface turbulent exchange, boundary layer structure, and cloud properties. Many of the measurements used remote sensing approaches - radar, lidar, and microwave radiometers - to retrieve vertical profiles of the dynamic and microphysical properties of the lower atmosphere and cloud. The UK participation of ACSE was funded by the Natural Environment Research Council (NERC, grant: NE/K011820/1) and involved instrumentation from the Atmospheric Measurement Facility of the UK's National Centre for Atmospheric Science (NCAS AMF). This dataset collection contains data mainy from the UK contribution with some additional data from other institutes also archived to complement the suite of meteorological measurements.

This dataset contains column-average dry-air mole fractions of atmospheric carbon dioxide (CO2), derived from the TANSAT satellite, using the University of Leicester Full-Physics Retrieval Algorithm (UoL-FP, also known as OCFP). This dataset is also referred to as CO2_TAN_OCFP. The data covers the period from March 2017 to May 2018 and is provided for TCCON (Total Carbon Column Observing Network) validation sites only. A full global dataset is in production. For further information on the dataset, please see the linked documentation. This data has been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme, with support from the UK's National Centre for Earth Observation (NCEO).

This dataset contains column-averaged dry-air mole fractions (mixing ratios) of carbon dioxide (XCO2). It has been produced using data acquired from the Thermal and Near Infrared Sensor for Carbon Observations - Fourier Transform Spectrometer-2 (TANSO-FTS-2) Near Infrared(NIR) and Shortwave Infrared (SWIR) spectra, onboard the Japanese Greenhouse gases Observing Satellite (GOSAT-2), using the RemoTeC SRFP Full Physics Retrieval algorithm. Results are provided for the individual GOSAT-2 spatial footprints. These data have been produced as part of the European Space Agency (ESA)'s Climate Change Initiative (CCI) programme.

This dataset contains concentrations of methane, carbon dioxide, nitrous oxide, and carbon monoxide measured using an Ecotech Spectronus FTIR (Fourier transform infrared) spectrometer. The instrument operated from 7 August 2014 to 15 August 2014 on a landfill site near Great Blakenham, Suffolk. The measurement site was located at 52.112N, 1.082E, and the inlet was located 2m above the ground. This data was collected as part of the Natural Environment Research Council (NERC) Greenhouse gAs Uk and Global Emissions (GAUGE) project. The GAUGE project aimed to determine the magnitude, spatial distribution and uncertainties of the UK's Greenhouse Gas budget using new and existing measurement networks and modelling approaches at a range of scales.