Park Numerical Weather Prediction: East Asian Perspectives

Numerical Weather Prediction: East Asian Perspectives

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Beschreibung

This book describes the history, development, current status of numerical weather prediction (NWP), in both operational and research modes, and various applications of NWP models, which have been made by the scientists in East Asian countries. In particular, it introduces the major contributions to the worldwide NWP community achieved by East Asian scientists, including parameterizations, data assimilation techniques, parameter optimizations, and applications of the NWP models to improve the forecasts of high-impact weather systems in East Asia. This book provides both research scientists and graduate students with basic knowledge and insights on the development of NWP in East Asia.

 


This book describes the history, development, current status of numerical weather prediction (NWP), in both operational and research modes, and various applications of NWP models, which have been made by the scientists in East Asian countries. In particular, it introduces the major contributions to the worldwide NWP community achieved by East Asian scientists, including parameterizations, data assimilation techniques, parameter optimizations, and applications of the NWP models to improve the forecasts of high-impact weather systems in East Asia. This book provides both research scientists and graduate students with basic knowledge and insights on the development of NWP in East Asia.

 


Presents detailed procedures for developing parameterization schemes Discusses development and application of new technologies in parameter optimizations and modeling frameworks Contains examples of applying NWP models to improve various high-impact weather systems

Autor*in

Seon Ki Park

Themen in »Numerical Weather Prediction: East Asian Perspectives«

high-impact weather physical parameterization NWP atmospheric modeling predictability

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Details

ISBN: 9783031405693
Verlag: Springer International Publishing
Erscheinung: 22.11.2024

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