NERC Data Catalogue Service
QUEST GSI (Global Scale Impacts of Climate Change): Climate, run-off and aquatic model simulations
QUEST GSI was led by Nigel Arnell (University of Reading) with co-investigators from the Universities of Aberdeen, Leeds, UEA, Edinburgh, Southampton, UCL, London School of Hygiene and Tropical Medicine, CEH and CEFAS.
This dataset collection contains model data simulations under various climate, run-off and aquatic scenarios.
A central aim of this project was to assess the global-scale impacts of climate change under a range of scenarios, across a number of sectors. A methodology was developed to construct scenarios from a range of climate models, representing changes under different emissions scenarios and fixed amounts of change in global mean temperature. Impacts were estimated across a range of sectors, including water resources, fluvial and coastal flooding, crop productivity and food security, ecosystem productivity and human health, at regional and global scales.
The project has provided quantitative information on these impacts and their distribution across the world. The general conclusions are that impacts may be significant at relatively low levels of climate change, that estimates of impact in some sectors are very uncertain due largely to uncertainty in projected changes in rainfall (particularly in south Asia), that there are no obvious thresholds for step changes in impact that are consistent across region and sector, and that socio-economic conditions may amplify or reduce impacts, depending on context.
A second project aim was to develop the methodology in such a way that it could be readily applied to estimate impacts under other climate scenarios representing for example specific policy objectives. With additional funding from other sources, the project methodology has been applied successfully to estimate the impacts avoided by a set of feasible emissions policies.
Default
Identification info
- Metadata Language
- English (en)
- Dataset Reference Date ()
- 2008-12-10T03:15:45
- Dataset Reference Date ()
- 2008-12-10T03:15:45
- Identifier
- NCAS British Atmospheric Data Centre (NCAS BADC) / c498e38730dca65ac7a0bc197c3cf7a3
- Maintenance and update frequency
- unknown
- Update scope
- series
- Keywords
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- QUEST
- GSI
- climate change
- aquatic
- run off
- GEMET - INSPIRE themes, version 1.0 ()
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- atmospheric conditions
- Limitations on Public Access
- otherRestrictions
- Other constraints
- All data within this dataset collection are available to any registered CEDA user.
- Use constraints
- otherRestrictions
- Other constraints
- Usage limitations for the data within this collection is set at the individual dataset level. Please refer to the licence details of each underlying dataset.
- Spatial representation type
- grid
- Topic category
-
- Climatology, meteorology, atmosphere
))
- Begin date
- 2009-01-01T00:00:00
- End date
- 2080-12-31T23:59:59
- Code
- WGS 84
Distribution Information
- Data format
-
-
Contact data centre for format details.
()
-
Contact data centre for format details.
()
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
QUEST -GSI Project website
No further details.
- Resource Locator
-
QUEST GSI: Global-scale impacts of climate change: an integrated multi-sectoral assessment
No further details.
- Resource Locator
-
QUEST report
No further details.
- Resource Locator
-
CEDA Data Catalogue Page
Detail and access information for the resource
- Resource Locator
-
QUEST -GSI Project website
No further details.
- Resource Locator
-
QUEST GSI: Global-scale impacts of climate change: an integrated multi-sectoral assessment
No further details.
- Resource Locator
-
QUEST report
No further details.
- Quality Scope
- series
Report
- Dataset Reference Date ()
- 2010-12-08
- Statement
- Please see data lineage statements for each dataset within this collection for data lineage details.
Metadata
- File identifier
- c498e38730dca65ac7a0bc197c3cf7a3 XML
- Metadata Language
- English (en)
- Character set
- 8-bit variable size UCS Transfer Format, based on ISO/IEC 10646
- Resource type
- series
- Hierarchy level name
- series
- Metadata Date
- 2023-03-03T01:37:38
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
