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통계적 상세화를 위한 weather generator 개발(Development of weather generator for statistical downscaling)
- 통계적 상세화를 위한 weather generator 개발(Development of weather generator for statistical downscaling)
- Kim, Moosup김무섭
- APCC
| Title |
통계적 상세화를 위한 weather generator 개발(Development of weather generator for statistical downscaling)
Similar Titles
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|---|---|
| Material Type | Reports |
| Author(English) |
Kim, Moosup |
| Author(Korean) |
김무섭 |
| Publisher |
Busan : APCC |
| Date | 2015 |
| Series Title; No | 연구보고서 / 2015-04 |
| Subject Country | South Korea(Asia and Pacific) |
| Language | English |
| File Type | Link |
| Subject | Industry and Technology < Others Territorial Development < Environment |
| Holding | APCC |
| License |  |
Abstract
GCM (Global Circulation Model) is a basic and fundamental tool for predicting future climate conditions. Unfortunately, its output is so coarse in space and time that it cannot be directly applied to application fields. Currently, there is a large amount of research focused on closing the gap between resolutions of GCM output and application data. This process, called downscaling, produces climate data of high resolution from coarse GCM outputs. Downscaling schemes have mainly been studied in two approaches - dynamical and statistical downscaling. Dynamical downscaling is based on RCM (Regional Circulation Model), which is a dynamical circulation model with higher spatial resolution and more detailed regional topography than GCM. Thus, it can produce climate data of fine resolution adapted for a target basin. On the other hand, statistical downscaling is based on statistical models describing basin weather and its relation with climate predictors. (The rest omitted)
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