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This NCEO Core data set collection contains data generated by the National Centre for Earth Observation core scientific programmes. NCEO is a National Environment Research Council (NERC) research centre with more than 80 scientists distributed across leading UK universities and research organisations and led by Professor John Remedios at the University of Leicester. NCEO provides the UK with core expertise in Earth Observation science, data sets and merging techniques, and model evaluation to underpin Earth System research and the UK’s international contribution to environmental science. NCEO scientists work strategically with space agencies, play significant roles in mission planning, and generate internationally-recognised data products from 20 different satellite instruments.
The National Centre for Earth Observation (NCEO) has a proud tradition of being involved with some of the most successful international collaborations in the Earth observation. This Collection contains dataset generated and/or archived with the support of NCEO resource or scientific expertise. Some notable collaboration which generated data within this collection are as follows: The European Space Agency (ESA)'s Climate Change Initiative (CCI) program. The program goal is to provide stable, long-term, satellite-based Essential Climate Variable (ECV) data products for climate modelers and researchers. The EUSTACE (EU Surface Temperature for All Corners of Earth) project is produced publicly available daily estimates of surface air temperature since 1850 across the globe for the first time by combining surface and satellite data using novel statistical techniques. FIDUCEO has created new climate datasets from Earth Observations with a rigorous treatment of uncertainty informed by the discipline of metrology. This response to the need for enhanced credibility for climate data, to support rigorous science, decision-making and climate services. The project approach was to develop methodologies for generating Fundamental Climate Data Records (FCDRs) and Climate Data Records (CDRs) that are widely applicable and metrologically rigorous. The “BACI” project translates satellite data streams into novel “essential biodiversity variables” by integrating ground-based observations. The trans-disciplinary project offers new insights into the functioning and state of ecosystems and biodiversity. BACI enables the user community to detect abrupt and transient changes of ecosystems and quantify the implications for regional biodiversity. The UK Natural Environment Research Council has established a knowledge transfer network called NCAVEO (Network for Calibration and Validation of EO data - NCAVEO) which has as its aim the promotion and support of methodologies based upon quantitative, traceable measurements in Earth observation. The Geostationary Earth Radiation Budget 1 & 2 instruments (GERB-1 and GERB-2) make accurate measurements of the Earth Radiation Budget. They are specifically designed to be mounted on a geostationary satellite and are carried onboard the Meteosat Second Generation satellites operated by EUMETSAT. They were produced by a European consortium led by the UK (NERC) together with Belgium, Italy, and EUMETSAT, with funding from national agencies. GloboLakes analysed 20 years of data from more than 1000 large lakes across the globe to determine 'what controls the differential sensitivity of lakes to environmental perturbation'. This was an ambitious project that was only possible by bringing together a consortium of scientists with complementary skills. These include expertise in remote sensing of freshwaters and processing large volumes of satellite images, collation and analysis of large-scale environmental data, environmental statistics and the assessment of data uncertainty, freshwater ecology and mechanisms of environmental change and the ability to produce lake models to forecast future lake conditions. This SPEI collaboration consists of high spatial resolution Standardized Precipitation-Evapotranspiration Index (SPEI) drought dataset over the whole of Africa at different time scales from 1 month to 48 months. It is calculated based on precipitation estimates from the satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) and potential evaporation estimates by the Global Land Evaporation Amsterdam Model (GLEAM).
The National Centre for Earth Observation (NCEO) Third Party data contains a broad range remotely sensed data acquired by satellite for use by the Earth Observation Scientific community supported by NCEO. The Centre for Environmental Data Analysis (CEDA) has archived and provides access to extensive Earth observation datasets under strict licensing conditions. Please see the individual dataset records for conditions of use.
This dataset collection contains data collected from the Microbiology-Ocean-Cloud Coupling in the High Arctic (MOCCHA) project. MOCCHA aimed to study aerosol processes, the contribution of marine microbiology to their formation and properties, and their impact on the life cycle of low-lewel clouds in the central Arctic as part of the Arctic Ocean 2018 (AO2018) expedition. AO2018 took place between 1 August and 21 September 2018, departing from and returning to Longyearbyen. The expedition was centered around a 4-week long intensive observation period, where e icebreaker Oden was moored to an ice flow and drifted passively with the ice.
This dataset contains measurements of organic mass, sulphate mass, nitrate mass, ammonium mass and chloride mass. Oxidant and Particle Photochemical Processes above a South-East Asian tropical rain forest (OP3-Danum-08) is a 3-year Consortium Grant of the Natural Environment Research Council (NERC), beginning 1 October 2007. The objectives of the OP3 project are (i) to understand how emissions of reactive trace gases from a tropical rain forest mediate the production and processing of oxidants and particles in the troposphere, and (ii) to better understand the impact of these processes on local, regional and global scale atmospheric composition, chemistry and climate.
The Aerosol Direct Radiative Impact Experiment (ADRIEX) was a joint UK Met Office/Natural Environment Research Council (NERC)/UK Royal Society/University of Oslo project aiming at improving our understanding of the radiative effects of anthropogenic aerosol and gases (ozone and methane) in the troposphere. This dataset contains backward trajectories arriving over Europe from the TOMCAT model. “Chemical attributes” are found by interpolating chemical distributions (in space and time) from a global chemical transport model to the origin of each trajectory (using its full length). During the ICARTT campaign the TOMCAT global CTM is being run in near-real time (about 19 hours behind present) driven by wind analyses from the ECMWF. The back trajectories are sufficiently long that a TOMCAT chemical analysis exists even at the origin of forecast trajectories. For example, the longest forecast lead time for the Azores domain is 5 days but the back trajectories are 7 days long so that the TOMCAT fields dating from 2 days before the latest meteorological analysis are used to find the attributes. For the US East Coast domain the back trajectories are shorter (3 days long) but the longest lead time is also 3 days so that the chemical attributes can be calculated as soon as TOMCAT has been brought up to date with the latest ECMWF analyses.
These data are the University of Reading (Reading, UK) UR025.4 reanalysis produced by the Earth System Science Centre, and are used to support the work of the NERC (Natural Environmental Research Council) RAPID-WATCH (Rapid Climate Change-Will the Atlantic Thermohaline Circulation halt?) VALOR (VALue of the RAPID-WATCH Climate Change programme array) project. These data are retrieved missing files that could not be added to the original dataset due to being published with a DOI (http://dx.doi.org/10.5285/4bcfa3a4-c7ec-4414-863d-caeceb21f16f). They consist of global ocean and sea ice fields, with coverage at 1/4 deg lat x 1/4 deg lon, on 75 vertical levels, for the period from 1989 to 2010. These variables include monthly means of Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, forced by ERA-Interim atmospheric variables with Data Assimilation of in-situ T,S profiles and satellite SST, Sea Level Anomalies, Temperature and Salinity profiles and satellite Sea Ice Concentration using the UK Met Office FOAM system. 5-day data also exist for all variables and daily data for some upper ocean variables may be available from the provider. These data were originally produced under the EU MyOcean project and have been validated against observations. They are also currently available through the MyOcean website.
Stratospheric Aerosol and Gas Experiment III (SAGE III) was an instrument on board a Meteor-3M spacecraft, launched on December 10, 2001. Routine measurement operations began in March 2002 until the SAGE III mission was terminated in March 2006. The specific measurement objectives of SAGE III provide 1 km vertical resolution profiles of: aerosols and clouds at seven wavelengths from the mid-troposphere into the stratosphere and where appropriate, the mesosphere; O3 from the mid-troposphere to 85 km; H2O from the planetary boundary layer to 50 km; NO2 from the tropopause to 45 km; NO3 from 20 to 55 km; OClO from 15 to 25 km; and, O2 from the mid-troposphere to 70 km. This dataset contains level 1B version 1 transmission profiles. The Level 1B Transmission product contains the SAGE III atmospheric slant path transmission profiles at 87 spectral channels. The profiles are skewed vertically and extend from sea level to an altitude of 100 km in 0.5 km intervals. The standard deviation of the binned transmission data is also provided for each reported altitude and channel. These data have been geolocated and normalized against exoatmospheric solar measurements to produce slant path transmission profiles.
This dataset contains measurements of wind, temperature, pressure, humidity and precipitation. Oxidant and Particle Photochemical Processes above a South-East Asian tropical rain forest (OP3-Danum-08) is a 3-year Consortium Grant of the Natural Environment Research Council (NERC), beginning 1 October 2007. The objectives of the OP3 project are (i) to understand how emissions of reactive trace gases from a tropical rain forest mediate the production and processing of oxidants and particles in the troposphere, and (ii) to better understand the impact of these processes on local, regional and global scale atmospheric composition, chemistry and climate.
This dataset contains NO and NO2 measurements. Oxidant and Particle Photochemical Processes above a South-East Asian tropical rain forest (OP3-Danum-08) is a 3-year Consortium Grant of the Natural Environment Research Council (NERC), beginning 1 October 2007. The objectives of the OP3 project are (i) to understand how emissions of reactive trace gases from a tropical rain forest mediate the production and processing of oxidants and particles in the troposphere, and (ii) to better understand the impact of these processes on local, regional and global scale atmospheric composition, chemistry and climate.