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 adaptive observations, sensitivity analysis, parameter estimation and AI applications. The book is useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
Ensemble Kalman Filter Experiments at 112km and 28km Resolution for the RecordBreaking Rainfall Event in Japan in July 2018
A Thorough Investigation with the Heavy Rainfall in Taiwan on 16 June 2008 Interpretation of Forecast Sensitivity Observation Impact in Data Denial Experiments Observability Gramian and Its Role in the Placement of Observations in Dynamic Data Assimilation Application to Burgers Equation and Seiche Phenomenon Analysis Lateral Boundary and Observation Impacts in a Limited Area Model Assimilation of InSitu Observations GNSSRO Sounding in the Troposphere and StratosphereImpact of Assimilating the Special Radiosonde Observations on COAMPS Arctic Forecasts During the Year of Polar Prediction
Applicability Over the Maritime ContinentOperational Assimilation of Radar Data from the European EUMETNET Programme OPERA in the MétéoFrance ConvectiveScale Model AROME
The 2020 Global Operational NWP Data Assimilation System at MétéoFrance An Overview of KMAs Operational NWP Data Assimilation SystemsSeon Ki Park is Professor of Environmental Science and Engineering and Founding Director of the Severe Storm Research Center and the Center for Climate/Environment Change Prediction Research at the Ewha Womans University in Seoul, Korea. He obtained a Ph.D. in Meteorology from the University of Oklahoma and M.S. and B.S. in Meteorology from the Seoul National University, Korea. He had worked as a research scientist at the University of Oklahoma, University of Maryland and NASA/Goddard Space Flight Center. His research focuses on storm- and meso-scale meteorology, hydrometeorology, and parameter estimation and data assimilation to improve numerical weather/climate prediction.
Liang Xu is the Head of Atmospheric Dynamics & Prediction Branch and a Meteorologist at the Marine Meteorology Division, Naval Research Laboratory in Monterey, California, USA. He leads a fully integrated research program encompassing all aspects of numerical weather prediction and data assimilation, focusing on critical issues related to the analysis and prediction of atmospheric processes and phenomena within the Navy's Earth System Prediction Capability. He and his team have developed, tested, and transitioned to the Fleet Numerical Meteorology and Oceanographic Center (FNMOC), an operational global atmospheric 4DVar data assimilation system.
| Название | Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) |
| Редакторы | Seon Ki Park , Liang Xu |
| Издатель | Springer Nature, 2021 |
| ISBN | 3030777227, 9783030777227 |
| Количество страниц | Всего страниц: 705 |
| Экспорт цитаты | BiBTeX EndNote RefMan |