Plant Respiration Modelling with JULES for a changing climate (1860-2100)

• Published by: Environmental Information Data Centre
• Last updated: 05 April 2023
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

The dataset contains annual global plant respiration (and related diagnostics, such as Net Primary Productivity, Gross Primary Productivity and soil respiration), applicable for pre-industrial times (taken as year 1860) through to the end of the 21st Century (year 2100). The spatial resolution of the data is 2.5 degrees latitude x 3.75 degrees longitude. These diagnostics are outputs from the Joint UK Land Environment Simulator (JULES land surface model) under four different approaches to calcluate leaf respiration. Each of four sets contains a total of 34 runs, each driven by a different CMIP5 model climate pattern, using the Integrated Model Of Global Effects of climatic aNomalies (IMOGEN) system. These are for a "business-as-usual" approach to fossil fuel usage, as the Representative Concentration Pathway scenario RCP8.5. These simulations form the basis for new research paper by Huntingford et al (2017, under review). Full details about this dataset can be found at https://doi.org/10.5285/24489399-5c99-4050-93ee-58ac4b09341a

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Data links

Link to the data	Format	File added	Data preview
Download the data	N/A	05 April 2023	Not available
Supporting information	ZIP	05 April 2023	Not available

Additional information

View additional metadata

• Added to data.gov.uk: 2023-03-08T16:01:10
• Access contraints: © UK Centre for Ecology & Hydrology
• Harvest GUID: 24489399-5c99-4050-93ee-58ac4b09341a
• Extent: Latitude: 90° to -90°
• Extent: Longitude: -180° to 180°
• Dataset reference date: 2017-07-12 (publication)
• Frequency of update: notPlanned
• Responsible party: UK Centre for Ecology & Hydrology (pointOfContact, owner); Centre for Ecology & Hydrology (author); Australian National University (author); University of Exeter (author); Marine Biological Laboratory (author); University of Minnesota (author); Columbia University (author); Western Sydney University (author); University of Canterbury (author); Met Office (author); University of Oxford (author); NERC EDS Environmental Information Data Centre (custodian); NERC Environmental Information Data Centre (publisher)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

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