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- SATOH Masaki
- Atmosphere and Ocean Research Institute, the University of Tokyo
Bibliographic Information
- Other Title
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- ULTIMATE:関東圏ウルトラサイト観測の包括的利用による高解像度数値モデルの連携研究推進
- ULTIMATE : カントウケン ウルトラサイト カンソク ノ ホウカツテキ リヨウ ニ ヨル コウカイゾウド スウチ モデル ノ レンケイ ケンキュウ スイシン
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Description
<p>We propose a collaboration study between numerical models and ground remote-sensing observation data over the metropolitan area of Tokyo. The initiative is called ULTIMATE (ULTra-sIte for Measuring Atmosphere of Tokyo metropolitan Environment), in which using an intensive observation data in the Tokyo area together with satellite observations, cloud microphysics schemes of numerical models are evaluated and improved. We have various kinds of remote sensing data by radars and lidars in the Tokyo area both for operational and research purposes.</p><p>In particular, we will consider the use of observation data planned for ground validation of the EarhCARE satellite, which is scheduled to be launched in FY2022. We will also use the dual-polarization Doppler weather radar, which is now in operation at the Japan Meteorological Agency. As for the numerical models, we will consider the use and comparison of several models. We particularly focus on the evaluation and improvement of the Non-hydrostatic Icosahedral Atmospheric Model (NICAM), which can be used seamlessly on both global and regional domains, allowing us to quickly test the improved scheme on a global scale, compare it with satellite observations, and estimate climate sensitivity. In addition, this study aims to improve short time forecasts for several hours and beyond by improving the cloud microphysics scheme by using the local model “asuca” of the Japan Meteorological Agency.</p>
Journal
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- Journal of The Remote Sensing Society of Japan
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Journal of The Remote Sensing Society of Japan 41 (2), 133-139, 2021-05-15
The Remote Sensing Society of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390570630077244800
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- NII Article ID
- 130008077697
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- NII Book ID
- AN10035665
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- ISSN
- 18831184
- 02897911
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- NDL BIB ID
- 031583442
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL Search
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed