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  • QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains socio-economic scenarios from the IPCC SRES report.

  • QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains 30 year surface meteorology climatologies from CRU TS3.0 data. Data includes parameters such as temperature, water vapour and precipitation.

  • QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains monthly climatology measurements for 1961-1990.

  • The QUEST-GSI WPd1 "Climate scenarios". The aim was to construct climate scenarios representing the effects of uncertainty and different rates of climate forcing. This dataset contains model data which construct climate scenarios. The project requires climate scenarios which (a) characterise the uncertainty in the climate change associated with a given forcing, including changes in climate variability and extreme events, and (b) allow the construction of generalised relationships between climate forcing and impact.

  • QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains global Population Distribution (1990), Terrestrial Area and Country Name Information on a One by One Degree Grid Cell Basis.

  • QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains decadal surface meteorology climatologies from CRU TS3.0 data 1901- 2000. Data includes parameters such as temperature, water vapour and precipitation.

  • QUAAC was led by Prof John Pyle (University of Cambridge), with 11 co-investigators at the Universities of Sheffield, Leeds, York, Lancaster and Manchester, and from CEH. This dataset includes results of the development and testing of chemistry and aerosol schemes to include in a climate model, a range of schemes to describe (interactively wherever possible) surface emissions of reactive trace gases, and new surface deposition schemes.

  • PalaeoQUMP was headed by Prof Sandy Harrison of the University of Bristol, with co-investigators at the University of Southampton and Durham University, as part of QUEST (Quantifying and Understanding the Earth System). This dataset collection contains data from charcoal records that have been compiled for the Mediterranean, Black Sea-Caspian and Sea corridor region.

  • QUERCC addresses land surface processes over timescales from days to centuries, with particular emphasis on the carbon cycle. Some processes are already well represented and validated in Dynamic Global Vegetation Models (DGVMs), while others that are known to impact on the carbon cycle are not. Independent carbon and vegetation data sets are being compared against DVGMs to assess their current state, and further key modules will be developed for nutrient cycling, which exerts a major feedback on carbon exchange, and for a greater resolution of plant processes. This dataset contains a global map of plant functional types that exert significant impacts on the carbon cycle as modelled by the Rothamsted Research institute based on the FAO (Food and Agriculture Organization) soil properties.

  • QUEST projects both used and produced an immense variety of global data sets that needed to be shared efficiently between the project teams. These global synthesis data sets are also a key part of QUEST's legacy, providing a powerful way of communicating the results of QUEST among and beyond the UK Earth System research community. This dataset contains MODIS land cover classification data. The MODIS Land Cover Type product contains multiple classification schemes, which describe land cover properties derived from observations spanning a year's input of Terra and Aqua data. The primary land cover scheme identifies 17 land cover classes defined by the International Geosphere Biosphere Programme (IGBP), which includes 11 natural vegetation classes, 3 developed and mosaicked land classes, and three non-vegetated land classes. The MODIS Terra + Aqua Land Cover Type Yearly L3 Global 500 m SIN Grid product incorporates five different land cover classification schemes, derived through a supervised decision-tree classification method: * Land Cover Type 1: IGBP global vegetation classification scheme * Land Cover Type 2: University of Maryland (UMD) scheme * Land Cover Type 3: MODIS-derived LAI/fPAR scheme * Land Cover Type 4: MODIS-derived Net Primary Production (NPP) scheme * Land Cover Type 5: Plant Functional Type (PFT) scheme The dataset stored here has been aggregated onto a 10 arc minute grid by Jose Gomez-Dans, working within the QUEST FIREMAFS project.