This CD-ROM set contains the Volume 1 vegetation data collection. The data covers a 24 month period, 1987-1988, and all but one are mapped to a common spatial resolution and grid (1 degree x 1 degree). Temporal resolution for most datasets is monthly; however, a few are at a finer resolution (e.g., 6-hourly). This dataset contains data covering: * Background (soil/litter layer) reflectances * Fraction of Photosynthetically Active radiation absorbed by the green vegetation canopy (FPAR) * Fourier-Adjustment, Solar zenith angle corrected, Interpolated Reconstructed (FASIR) normalized difference vegetation index (NDVI) * Percentage green leaf area of total leaf area * Total Leaf Area Index (LAI) * Normalized Difference Vegetation index (NDVI) * Roughness length (Zo) * Calculated snow-free albedo * Global land cover classification from satellite data

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 Imogen output model data

The Principal Investigator in this project was Prof Ian Woodward from University of Sheffield, with 11 co-investigators at the Centre for Ecology and Hydrology (CEH), the Forestry Commission’s Forest Research, the Agriculture and the Environment Division at Rothamsted Research, and the Universities of Aberdeen, Edinburgh, Leeds, York, Oxford and Southampton. This dataset collection contains soil model output data. QUERCC addressed 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 were compared against DVGMs to assess their current state, and further key modules were developed for nutrient cycling, which exerts a major feedback on carbon exchange, and for a greater resolution of plant processes. A global map of plant functional types that exert significant impacts on the carbon cycle was also developed.

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.