Mesoscale Numerical Weather Prediction —Numerical Prediction of Mesoscale Severe Phenomena in Japan—
نویسندگان
چکیده
منابع مشابه
Mesoscale Numerical Weather Prediction
Mesoscale models, with grid resolution higher than synoptic and global models, and with advanced physical parameterizations, have been an important tool for meteorological research over the past twenty years. The research applications of mesoscale models, mostly through case studies or model sensitivity experiments in the 1980s, provided us with important physical insights into mesoscale weathe...
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For many applications, expected local weather conditions during the next day or two are critical factors in planning operations and making effective decisions. Typically, what optimization that is applied to these processes to enable proactive efforts utilize either historical weather data as a predictor of trends or the results of synoptic-scale weather models. Alternatively, mesos-cale numeri...
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The long-term goals of this project are to first develop a three-dimensional time-evolving non-linear numerical model of the mesoscale ionosphere, second to couple the mesoscale model to a mesoscale data assimilative analysis, third to use the new data-assimilative mesoscale model to investigate ionospheric structure and plasma instabilities, and fourth to apply the data-assimilative mesoscale ...
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Two methods for objective grid-based bias removal in mesoscale numerical weather prediction models are proposed, one global and one local. The global method is an elaboration of model output statistics (MOS), combining several modern methods for multiple regression: alternating conditional expectation (ACE), regression trees, and Bayesian model selection. This allows the representation of nonli...
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ژورنال
عنوان ژورنال: Journal of the Meteorological Society of Japan. Ser. II
سال: 1986
ISSN: 0026-1165,2186-9057
DOI: 10.2151/jmsj1965.64a.0_517