Numerical Weather Prediction and Data Assimilation - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Numerical Weather Prediction and Data Assimilation write by Petros Katsafados. This book was released on 2020-07-16. Numerical Weather Prediction and Data Assimilation available in PDF, EPUB and Kindle. This book has as main aim to be an introductory textbook of applied knowledge in Numerical Weather Prediction (NWP), which is a method of weather forecasting that employs: A set of equations that describe the flow of fluids translated into computer code, combined with parameterizations of other processes, applied on a specific domain and integrated in the basis of initial and domain boundary conditions. Current weather observations serve as input to the numerical computer models through a process called data assimilation to produce atmospheric properties in the future (e.g. temperature, precipitation, and a lot of other meteorological parameters). Various case studies will be also presented and analyzed through this book.
Atmospheric Modeling, Data Assimilation and Predictability
Atmospheric Modeling, Data Assimilation and Predictability - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Atmospheric Modeling, Data Assimilation and Predictability write by Eugenia Kalnay. This book was released on 2003. Atmospheric Modeling, Data Assimilation and Predictability available in PDF, EPUB and Kindle. This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.
Uncertainties in Numerical Weather Prediction
Uncertainties in Numerical Weather Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Uncertainties in Numerical Weather Prediction write by Haraldur Olafsson. This book was released on 2020-11-25. Uncertainties in Numerical Weather Prediction available in PDF, EPUB and Kindle. Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts. Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts Includes references to climate prediction models to allow applications of these techniques for climate simulations
Numerical Weather and Climate Prediction
Numerical Weather and Climate Prediction - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Numerical Weather and Climate Prediction write by Thomas Tomkins Warner. This book was released on 2010-12-02. Numerical Weather and Climate Prediction available in PDF, EPUB and Kindle. This 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. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics.
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) write by Seon Ki Park. This book was released on 2013-05-22. Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) available in PDF, EPUB and Kindle. This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
