1# Library to Find Best eBook for Read
Author : Nihon Kishō Gakkai
Release : 1997
Genre : Science
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Data Assimilation in Meteorology and Oceanography; Theory and Practice by : Nihon Kishō Gakkai
Download or read book Data Assimilation in Meteorology and Oceanography; Theory and Practice written by Nihon Kishō Gakkai. This book was released on 1997. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Seon Ki Park
Release : 2013-05-22
Genre : Science
Kind : eBook
Book Rating : 887/5 ( reviews)
Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) by : Seon Ki Park
Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II) written by Seon Ki Park. This book was released on 2013-05-22. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Olivier Talagrand
Release : 2013-08-01
Genre : Science
Kind : eBook
Book Rating : 230/5 ( reviews)
Book Synopsis Data Assimilation in Meteorology and Oceanography by : Olivier Talagrand
Download or read book Data Assimilation in Meteorology and Oceanography written by Olivier Talagrand. This book was released on 2013-08-01. Available in PDF, EPUB and Kindle. Book excerpt: The assimilation of appropriate data in meteorology, oceanography, and atmospheric chemistry is central to achieving correct modelling of phenomena. The practice and theory of data assimilation has grown in the past 20 years into a separate branch of science of bewildering complexity to the newcomer. Data Assimilation in Meteorology and Oceanography is a well-crafted introductory book. It presents an up-to-date and clear overview of the field, and strikes the right balance between theory, practical applications, and implementation algorithms and examples. Written by recognised experts in the field Consolidates 20 years of practice and theory Attractive four colour format
Author : Seon Ki Park
Release : 2016-12-26
Genre : Science
Kind : eBook
Book Rating : 152/5 ( reviews)
Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) by : Seon Ki Park
Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) written by Seon Ki Park. This book was released on 2016-12-26. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Seon Ki Park
Release : 2021-11-09
Genre : Science
Kind : eBook
Book Rating : 227/5 ( reviews)
Book Synopsis Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) by : Seon Ki Park
Download or read book Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) written by Seon Ki Park. This book was released on 2021-11-09. Available in PDF, EPUB and Kindle. Book excerpt: 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.
