Data Assimilation For The Earth System

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Data Assimilation for the Earth System

Author : Richard Swinbank,Victor Shutyaev,William Albert Lahoz
Publisher : Springer Science & Business Media
Page : 377 pages
File Size : 41,9 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.

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 : 44,8 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.

Assimilation of Remote Sensing Data into Earth System Models

Author : Jean-Christophe Calvet,Patricia De Rosnay,Stephen G. Penny
Publisher : Unknown
Page : 236 pages
File Size : 51,8 Mb
Release : 2019
Category : Science (General)
ISBN : 3039216414

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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 : 46,6 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.

Data Assimilation

Author : William Lahoz,Boris Khattatov,Richard Menard
Publisher : Springer Science & Business Media
Page : 710 pages
File Size : 55,7 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).

Earth System Modeling, Data Assimilation and Predictability

Author : Eugenia Kalnay,Safa Mote,Cheng Da
Publisher : Cambridge University Press
Page : 0 pages
File Size : 43,9 Mb
Release : 2024-07-31
Category : Science
ISBN : 1107009006

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Earth System Modeling, Data Assimilation and Predictability by Eugenia Kalnay,Safa Mote,Cheng Da Pdf

A National Strategy for Advancing Climate Modeling

Author : Committee on a National Strategy for Advancing Climate Modeling,Board on Atmospheric Sciences and Climate,Division on Earth and Life Studies
Publisher : National Academies Press
Page : 252 pages
File Size : 50,5 Mb
Release : 2013-01-07
Category : Science
ISBN : 9780309259781

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A National Strategy for Advancing Climate Modeling by Committee on a National Strategy for Advancing Climate Modeling,Board on Atmospheric Sciences and Climate,Division on Earth and Life Studies Pdf

As climate change has pushed climate patterns outside of historic norms, the need for detailed projections is growing across all sectors, including agriculture, insurance, and emergency preparedness planning. A National Strategy for Advancing Climate Modeling emphasizes the needs for climate models to evolve substantially in order to deliver climate projections at the scale and level of detail desired by decision makers, this report finds. Despite much recent progress in developing reliable climate models, there are still efficiencies to be gained across the large and diverse U.S. climate modeling community. Evolving to a more unified climate modeling enterprise-in particular by developing a common software infrastructure shared by all climate researchers and holding an annual climate modeling forum-could help speed progress. Throughout this report, several recommendations and guidelines are outlined to accelerate progress in climate modeling. The U.S. supports several climate models, each conceptually similar but with components assembled with slightly different software and data output standards. If all U.S. climate models employed a single software system, it could simplify testing and migration to new computing hardware, and allow scientists to compare and interchange climate model components, such as land surface or ocean models. A National Strategy for Advancing Climate Modeling recommends an annual U.S. climate modeling forum be held to help bring the nation's diverse modeling communities together with the users of climate data. This would provide climate model data users with an opportunity to learn more about the strengths and limitations of models and provide input to modelers on their needs and provide a venue for discussions of priorities for the national modeling enterprise, and bring disparate climate science communities together to design common modeling experiments. In addition, A National Strategy for Advancing Climate Modeling explains that U.S. climate modelers will need to address an expanding breadth of scientific problems while striving to make predictions and projections more accurate. Progress toward this goal can be made through a combination of increasing model resolution, advances in observations, improved model physics, and more complete representations of the Earth system. To address the computing needs of the climate modeling community, the report suggests a two-pronged approach that involves the continued use and upgrading of existing climate-dedicated computing resources at modeling centers, together with research on how to effectively exploit the more complex computer hardware systems expected over the next 10 to 20 years.

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

Author : Seon Ki Park,Liang Xu
Publisher : Springer Science & Business Media
Page : 736 pages
File Size : 42,6 Mb
Release : 2013-05-22
Category : Science
ISBN : 9783642350887

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

Earth System Monitor

Author : Anonim
Publisher : Unknown
Page : 8 pages
File Size : 47,5 Mb
Release : 1990
Category : Earth sciences
ISBN : UIUC:30112105054008

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Earth System Monitor by Anonim Pdf

Land Surface Observation, Modeling and Data Assimilation

Author : Shunlin Liang
Publisher : World Scientific
Page : 491 pages
File Size : 47,5 Mb
Release : 2013
Category : Science
ISBN : 9789814472616

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Land Surface Observation, Modeling and Data Assimilation by Shunlin Liang Pdf

This book is unique in its ambitious and comprehensive coverage of earth system land surface characterization, from observation and modeling to data assimilation, including recent developments in theory and techniques, and novel application cases. The contributing authors are active research scientists, and many of them are internationally known leading experts in their areas, ensuring that the text is authoritative.This book comprises four parts that are logically connected from data, modeling, data assimilation integrating data and models to applications. Land data assimilation is the key focus of the book, which encompasses both theoretical and applied aspects with various novel methodologies and applications to the water cycle, carbon cycle, crop monitoring, and yield estimation.Readers can benefit from a state-of-the-art presentation of the latest tools and their usage for understanding earth system processes. Discussions in the book present and stimulate new challenges and questions facing today''s earth science and modeling communities.

Seamless Prediction of the Earth System

Author : Gilbert Brunet,Sarah Jones,Paolo M. Ruti
Publisher : Unknown
Page : 471 pages
File Size : 55,5 Mb
Release : 2015
Category : Climatic changes
ISBN : 9263111561

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Seamless Prediction of the Earth System by Gilbert Brunet,Sarah Jones,Paolo M. Ruti Pdf

"This book collects together White Papers that have been written to describe the state of the science and to discuss the major challenges for making further advances. The authors of each chapter have attempted to draw together key aspects of the science that was presented at WWOSC-2014. The overarching theme of this book and of WWOSC-2014 is 'Seamless Prediction of the Earth System: from minutes to months'. The book is structured with chapters that address topics regarding: Observations and Data Assimilation; Predictability and Processes; Numerical Prediction of the Earth System; Weather-related Hazards and Impacts. This book marks a point in time and the knowledge that has been accumulating on weather science. It aims to point the way to future developments"--Preface.

Overcoming Data Scarcity in Earth Science

Author : Angela Gorgoglione,Alberto Castro Casales,Christian Chreties Ceriani,Lorena Etcheverry Venturini
Publisher : MDPI
Page : 94 pages
File Size : 40,8 Mb
Release : 2020-05-22
Category : Science
ISBN : 9783039282104

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Overcoming Data Scarcity in Earth Science by Angela Gorgoglione,Alberto Castro Casales,Christian Chreties Ceriani,Lorena Etcheverry Venturini Pdf

heavily Environmental mathematical models represent one of the key aids for scientists to forecast, create, and evaluate complex scenarios. These models rely on the data collected by direct field observations. However, assembly of a functional and comprehensive dataset for any environmental variable is difficult, mainly because of i) the high cost of the monitoring campaigns and ii) the low reliability of measurements (e.g., due to occurrences of equipment malfunctions and/or issues related to equipment location). The lack of a sufficient amount of Earth science data may induce an inadequate representation of the response’s complexity in any environmental system to any type of input/change, both natural and human-induced. In such a case, before undertaking expensive studies to gather and analyze additional data, it is reasonable to first understand what enhancement in estimates of system performance would result if all the available data could be well exploited. Missing data imputation is an important task in cases where it is crucial to use all available data and not discard records with missing values. Different approaches are available to deal with missing data. Traditional statistical data completion methods are used in different domains to deal with single and multiple imputation problems. More recently, machine learning techniques, such as clustering and classification, have been proposed to complete missing data. This book showcases the body of knowledge that is aimed at improving the capacity to exploit the available data to better represent, understand, predict, and manage the behavior of environmental systems at all practical scales.

Data Assimilation

Author : William Lahoz,Boris Khattatov,Richard Menard
Publisher : Unknown
Page : 128 pages
File Size : 55,8 Mb
Release : 2010
Category : Earth sciences
ISBN : 3540868720

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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).

Next Generation Earth System Prediction

Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Ocean Studies Board,Board on Atmospheric Sciences and Climate,Committee on Developing a U.S. Research Agenda to Advance Subseasonal to Seasonal Forecasting
Publisher : National Academies Press
Page : 351 pages
File Size : 46,5 Mb
Release : 2016-08-22
Category : Science
ISBN : 9780309388801

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Next Generation Earth System Prediction by National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Ocean Studies Board,Board on Atmospheric Sciences and Climate,Committee on Developing a U.S. Research Agenda to Advance Subseasonal to Seasonal Forecasting Pdf

As the nation's economic activities, security concerns, and stewardship of natural resources become increasingly complex and globally interrelated, they become ever more sensitive to adverse impacts from weather, climate, and other natural phenomena. For several decades, forecasts with lead times of a few days for weather and other environmental phenomena have yielded valuable information to improve decision-making across all sectors of society. Developing the capability to forecast environmental conditions and disruptive events several weeks and months in advance could dramatically increase the value and benefit of environmental predictions, saving lives, protecting property, increasing economic vitality, protecting the environment, and informing policy choices. Over the past decade, the ability to forecast weather and climate conditions on subseasonal to seasonal (S2S) timescales, i.e., two to fifty-two weeks in advance, has improved substantially. Although significant progress has been made, much work remains to make S2S predictions skillful enough, as well as optimally tailored and communicated, to enable widespread use. Next Generation Earth System Predictions presents a ten-year U.S. research agenda that increases the nation's S2S research and modeling capability, advances S2S forecasting, and aids in decision making at medium and extended lead times.