Data Assimilation For Numerical Weather Prediction Systems

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Numerical Weather Prediction and Data Assimilation

Author : Petros Katsafados,Elias Mavromatidis,Christos Spyrou
Publisher : John Wiley & Sons
Page : 250 pages
File Size : 43,5 Mb
Release : 2020-07-16
Category : Mathematics
ISBN : 9781119701002

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Numerical Weather Prediction and Data Assimilation by Petros Katsafados,Elias Mavromatidis,Christos Spyrou Pdf

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.

Data Assimilation

Author : William Lahoz,Boris Khattatov,Richard Menard
Publisher : Springer Science & Business Media
Page : 710 pages
File Size : 51,7 Mb
Release : 2010-07-23
Category : Science
ISBN : 9783540747031

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Data Assimilation by William Lahoz,Boris Khattatov,Richard Menard Pdf

Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in the field. Various aspects of data assimilation are discussed including: theory; observations; models; numerical weather prediction; evaluation of observations and models; assessment of future satellite missions; application to components of the Earth System. References are made to recent developments in data assimilation theory (e.g. Ensemble Kalman filter), and to novel applications of the data assimilation method (e.g. ionosphere, Mars data assimilation).

Dynamic Meteorology: Data Assimilation Methods

Author : L. Bengtsson,M. Ghil,E. Källen
Publisher : Springer
Page : 330 pages
File Size : 53,5 Mb
Release : 2012-01-21
Category : Science
ISBN : 1461259711

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Dynamic Meteorology: Data Assimilation Methods by L. Bengtsson,M. Ghil,E. Källen Pdf

One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field.

Data Assimilation for the Earth System

Author : Richard Swinbank,Victor Shutyaev,William Albert Lahoz
Publisher : Springer Science & Business Media
Page : 377 pages
File Size : 40,6 Mb
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 9789401000291

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Data Assimilation for the Earth System by Richard Swinbank,Victor Shutyaev,William Albert Lahoz Pdf

Data assimilation is the combination of information from observations and models of a particular physical system in order to get the best possible estimate of the state of that system. The technique has wide applications across a range of earth sciences, a major application being the production of operational weather forecasts. Others include oceanography, atmospheric chemistry, climate studies, and hydrology. Data Assimilation for the Earth System is a comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. Data assimilation is a key technique in the analysis of remote sensing observations and is thus particularly useful for those analysing the wealth of measurements from recent research satellites. This book is suitable for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.

Atmospheric Modeling, Data Assimilation and Predictability

Author : Eugenia Kalnay
Publisher : Cambridge University Press
Page : 368 pages
File Size : 49,6 Mb
Release : 2003
Category : Mathematics
ISBN : 0521796296

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Atmospheric Modeling, Data Assimilation and Predictability by Eugenia Kalnay Pdf

This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.

From Research to Operations in Weather Satellites and Numerical Weather Prediction

Author : National Research Council,Commission on Geosciences, Environment, and Resources,Board on Atmospheric Sciences and Climate
Publisher : National Academies Press
Page : 97 pages
File Size : 50,6 Mb
Release : 2000-09-07
Category : Science
ISBN : 9780309069410

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From Research to Operations in Weather Satellites and Numerical Weather Prediction by National Research Council,Commission on Geosciences, Environment, and Resources,Board on Atmospheric Sciences and Climate Pdf

This workshop report examines the capability of the forecast system to efficiently transfer weather and climate research findings into improved operational forecast capabilities. It looks in particular at the Environmental Modeling Center of the National Weather Service and environmental observational satellite programs. Using these examples, the report identifies several shortcomings in the capability to transition from research to operations. Successful transitions from R&D to operational implementation requires (1) understanding of the importance (and risks) of the transition, (2) development and maintenance of appropriate transition plans, (3) adequate resource provision, and (4) continuous feedback (in both directions) between the R&D and operational activities.

Uncertainties in Numerical Weather Prediction

Author : Haraldur Olafsson,Jian-Wen Bao
Publisher : Elsevier
Page : 366 pages
File Size : 41,7 Mb
Release : 2020-11-25
Category : Computers
ISBN : 9780128157107

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Uncertainties in Numerical Weather Prediction by Haraldur Olafsson,Jian-Wen Bao Pdf

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

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III)

Author : Seon Ki Park,Liang Xu
Publisher : Springer
Page : 553 pages
File Size : 46,9 Mb
Release : 2016-12-26
Category : Science
ISBN : 9783319434155

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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. III) by Seon Ki Park,Liang Xu Pdf

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.

Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV)

Author : Seon Ki Park,Liang Xu
Publisher : Springer Nature
Page : 707 pages
File Size : 43,6 Mb
Release : 2021-11-09
Category : Science
ISBN : 9783030777227

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Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. IV) by Seon Ki Park,Liang Xu Pdf

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.

Dynamic Meteorology: Data Assimilation Methods

Author : M. Ghil,Erland Källén,Lennart Bengtsson
Publisher : Springer
Page : 352 pages
File Size : 42,9 Mb
Release : 1981-11-09
Category : Computers
ISBN : UOM:39015051258096

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Dynamic Meteorology: Data Assimilation Methods by M. Ghil,Erland Källén,Lennart Bengtsson Pdf

One of the main reasons we cannot tell what the weather will be tomorrow is that we do not know accurately enough what the weather is today. Mathematically speaking, numerical weather prediction (NWP) is an initial-value problem for a system of nonlinear partial differential equations in which the necessary initial values are known only incompletely and inaccurately. Data at the initial time of a numerical forecast can be supplemented, however, by observations of the atmos phere over a time interval preceding it. New observing systems, in particular polar-orbiting and geostationary satellites, which are providing observations continuously in time, make is absolutely necess ary to find new and more satisfactory methods of assimilating meteorological observations - for the dual purpose of defining atmospheric states and of issuing forecasts from the states thus defined. FUndamental progress in this area has been made in recent years and this book attempts to give a review and some suggestions for further improvements in the field of meteorological data assimila tion methods. The European Centre for Medium Range Weather Forecasts (ECMWF) every year organises seminars for the benefit of meteorologists and geophysicists of the ECMWF Member states. The 1980 Seminar was devoted to data assimilation methods, and this book contains selected lectures from that seminar. The purpose of the seminar was twofold: it was intended to give a basic introduction to the subject, as well as an overview of the latest developments in the field.

Atmospheric Modeling, Data Assimilation and Predictability

Author : Eugenia Kalnay
Publisher : Cambridge University Press
Page : 364 pages
File Size : 44,7 Mb
Release : 2003
Category : Mathematics
ISBN : 9780521791793

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Atmospheric Modeling, Data Assimilation and Predictability by Eugenia Kalnay Pdf

This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.

Assimilation of Remote Sensing Data into Earth System Models

Author : Jean-Christophe Calvet,Patricia De Rosnay,Stephen G. Penny
Publisher : MDPI
Page : 236 pages
File Size : 45,6 Mb
Release : 2019-11-20
Category : Science
ISBN : 9783039216406

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Assimilation of Remote Sensing Data into Earth System Models by Jean-Christophe Calvet,Patricia De Rosnay,Stephen G. Penny Pdf

In the Earth sciences, a transition is currently occurring in multiple fields towards an integrated Earth system approach, with applications including numerical weather prediction, hydrological forecasting, climate impact studies, ocean dynamics estimation and monitoring, and carbon cycle monitoring. These approaches rely on coupled modeling techniques using Earth system models that account for an increased level of complexity of the processes and interactions between atmosphere, ocean, sea ice, and terrestrial surfaces. A crucial component of Earth system approaches is the development of coupled data assimilation of satellite observations to ensure consistent initialization at the interface between the different subsystems. Going towards strongly coupled data assimilation involving all Earth system components is a subject of active research. A lot of progress is being made in the ocean–atmosphere domain, but also over land. As atmospheric models now tend to address subkilometric scales, assimilating high spatial resolution satellite data in the land surface models used in atmospheric models is critical. This evolution is also challenging for hydrological modeling. This book gathers papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.

Four-Dimensional Model Assimilation of Data

Author : National Research Council,Division on Earth and Life Studies,Commission on Geosciences, Environment and Resources,Panel on Model-Assimilated Data Sets for Atmospheric and Oceanic Research
Publisher : National Academies Press
Page : 89 pages
File Size : 50,6 Mb
Release : 1991-02-01
Category : Science
ISBN : 9780309045360

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Four-Dimensional Model Assimilation of Data by National Research Council,Division on Earth and Life Studies,Commission on Geosciences, Environment and Resources,Panel on Model-Assimilated Data Sets for Atmospheric and Oceanic Research Pdf

This volume explores and evaluates the development, multiple applications, and usefulness of four-dimensional (space and time) model assimilations of data in the atmospheric and oceanographic sciences and projects their applicability to the earth sciences as a whole. Using the predictive power of geophysical laws incorporated in the general circulation model to produce a background field for comparison with incoming raw observations, the model assimilation process synthesizes diverse, temporarily inconsistent, and spatially incomplete observations from worldwide land, sea, and space data acquisition systems into a coherent representation of an evolving earth system. The book concludes that this subdiscipline is fundamental to the geophysical sciences and presents a basic strategy to extend the application of this subdiscipline to the earth sciences as a whole.

When Weather Matters

Author : National Research Council,Division on Earth and Life Studies,Board on Atmospheric Sciences and Climate,Committee on Progress and Priorities of U.S. Weather Research and Research-to-Operations Activities
Publisher : National Academies Press
Page : 198 pages
File Size : 40,9 Mb
Release : 2010-12-09
Category : Science
ISBN : 9780309152495

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When Weather Matters by National Research Council,Division on Earth and Life Studies,Board on Atmospheric Sciences and Climate,Committee on Progress and Priorities of U.S. Weather Research and Research-to-Operations Activities Pdf

The past 15 years have seen marked progress in observing, understanding, and predicting weather. At the same time, the United States has failed to match or surpass progress in operational numerical weather prediction achieved by other nations and failed to realize its prediction potential; as a result, the nation is not mitigating weather impacts to the extent possible. This book represents a sense of the weather community as guided by the discussions of a Board on Atmospheric Sciences and Climate community workshop held in summer 2009. The book puts forth the committee's judgment on the most pressing high level, weather-focused research challenges and research to operations needs, and makes corresponding recommendations. The book addresses issues including observations, global non-hydrostatic coupled modeling, data assimilation, probabilistic forecasting, and quantitative precipitation and hydrologic forecasting. The book also identifies three important, emerging issues-predictions of very high impact weather, urban meteorology, and renewable energy development-not recognized or emphasized in previous studies. Cutting across all of these challenges is a set of socioeconomic issues, whose importance and emphasis-while increasing-has been undervalued and underemphasized in the past and warrants greater recognition and priority today.