Results 221 to 230 of about 12,709 (265)
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2010
Numerical weather prediction (NWP) entails the use of computer models of the atmosphere to simulate how the state of the atmosphere is likely to evolve over a period of several hours up to 1 or 2 weeks ahead. This approach is central to modern operational weather forecasting: it is the improvements in NWP systems that have led to continual improvements
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Numerical weather prediction (NWP) entails the use of computer models of the atmosphere to simulate how the state of the atmosphere is likely to evolve over a period of several hours up to 1 or 2 weeks ahead. This approach is central to modern operational weather forecasting: it is the improvements in NWP systems that have led to continual improvements
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Evaluation of the Accuracy of Numerical Weather Prediction Models
2015This article is focused on numerical weather prediction models, which are publicly available on the Internet and their evaluation of the accuracy of predictions. The first part of the article deals with the basic principles of creating a weather forecast by numerical models, including an overview of selected numerical models.
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Operational numerical weather prediction
Reviews of Geophysics, 1987A variety of analysis and forecast systems have been used routinely over the years to produce numerical weather predictions (NWP) for daily use. The Joint Numerical Weather Prediction Unit of the United States was the first operational organization established in 1955.
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Fundamentals of Numerical Weather Prediction
2011Numerical models have become essential tools in environmental science, particularly in weather forecasting and climate prediction. This book provides a comprehensive overview of the techniques used in these fields, with emphasis on the design of the most recent numerical models of the atmosphere.
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Numerical Weather and Climate Prediction
2010This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications.
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Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall
Journal of Advances in Modeling Earth Systems, 2022Philipp Hess, Niklas Boers
exaly