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Dynamical downscaling of global climate change for urbanizing kanto plain.
| Content Provider | CiteSeerX |
|---|---|
| Author | Kimura, Fujio Adachi, Sachiho |
| Abstract | This study estimates the local climate change around the Tokyo Metropolitan area by a new dynamical downscaling method, i.e., the pseudo global warming method, which allows to reduce the model bias of the CGCM projection. First, the results of hindcast are compared with the observed temperature. Then the dynamical downscaling is carried out using the boundary conditions given by the CGCM projection of the future climate assuming IPCC SRES-A1B scenario for the emission of the greenhouse gases. Results show that the uncertainty of the temperature projection caused by GCMs is very large. The range of temperature change by global warming is larger than the temperature increase caused by change in land-use. Key words: global warming, downscaling, regional climate model |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Dynamical Downscaling Global Climate Change Kanto Plain Global Warming Cgcm Projection Observed Temperature Tokyo Metropolitan Area Pseudo Global Warming Method Regional Climate Model Temperature Change New Dynamical Downscaling Method Boundary Condition Model Bias Local Climate Change Greenhouse Gas Temperature Increase Ipcc Sres-a1b Scenario Future Climate Temperature Projection |
| Content Type | Text |