| Presentation | 2013-10-04 Atmospheric dynamics in the high-resolution era : Data centric science connecting observations, numerical models, and new theory Kaoru SATO, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The atmospheric phenomena consist of hierarchical structure over seven figures ranging from several meters 40,000 kilometers. It was with the times when we can treat the atmosphere physics including small-scale atmospheric phenomena such as cumuli and atmospheric gravity waves with a restoring force of buoyancy with the aid of recent development of observation and computer technologies. The high-resolution observations capture the true atmosphere, but observable regions and physical quantities are limited. On the other hand, the high-resolution numerical models provide global data, but those are in the virtual atmosphere. Indeed, the observations and numerical models are complementary. As a large number of data are born from the observations and models, inductive science by the data analysis becomes significantly important. A new and heuristic theory describing the hierarchical structure comes out of such data centric science, and new observation and model study are necessary for its deeper understanding. In this way, our understanding should be improved on the coupling between the phenomena having different scales. Such studies are needed for better weather prediction and climate projection. This report describes a current status and perspectives of such high-resolution atmospheric science study by showing the high-resolution observations from a new atmosphere radar at Syowa Station in the Antarctic and the simulation using a gravity-wave resolving general circulation model as examples. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Hierarchical structure / Gravity waves / Climate prediction / General circulation model / The PANSY radar / Data centric science |
| Paper # | PRMU2013-63 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2013/9/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Atmospheric dynamics in the high-resolution era : Data centric science connecting observations, numerical models, and new theory |
| Sub Title (in English) | |
| Keyword(1) | Hierarchical structure |
| Keyword(2) | Gravity waves |
| Keyword(3) | Climate prediction |
| Keyword(4) | General circulation model |
| Keyword(5) | The PANSY radar |
| Keyword(6) | Data centric science |
| 1st Author's Name | Kaoru SATO |
| 1st Author's Affiliation | School of Science, The University of Tokyo() |
| Date | 2013-10-04 |
| Paper # | PRMU2013-63 |
| Volume (vol) | vol.113 |
| Number (no) | 230 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |