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Assimilation Of Remote Sensing Data Into Earth System Models


Assimilation Of Remote Sensing Data Into Earth System Models
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Assimilation Of Remote Sensing Data Into Earth System Models


Assimilation Of Remote Sensing Data Into Earth System Models
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Author : Jean-Christophe Calvet
language : en
Publisher: MDPI
Release Date : 2019-11-20

Assimilation Of Remote Sensing Data Into Earth System Models written by Jean-Christophe Calvet and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-20 with Science categories.


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.



Land Surface Observation Modeling And Data Assimilation


Land Surface Observation Modeling And Data Assimilation
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Author : Shunlin Liang
language : en
Publisher: World Scientific
Release Date : 2013

Land Surface Observation Modeling And Data Assimilation written by Shunlin Liang and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Science categories.


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.



Assimilation Of Remote Sensing Data Into Earth System Models


Assimilation Of Remote Sensing Data Into Earth System Models
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Author : Jean-Christophe Calvet
language : en
Publisher:
Release Date : 2019

Assimilation Of Remote Sensing Data Into Earth System Models written by Jean-Christophe Calvet and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Science (General) categories.


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.



Utilization Of Space


Utilization Of Space
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Author : Berndt Feuerbacher
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-06

Utilization Of Space written by Berndt Feuerbacher and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-06 with Technology & Engineering categories.


Utilization of space, what for? This book attempts to answer this question! With this volume we intend to provide a single reference for the broad field of space utilization. Of all the books we know, this is the first to cover all aspects of scientific and application oriented activities in space, even though with limits. We have attempted to document the current state of the art and open at the same time a perspective towards the future. We also want to bridge the gap between the many popular books dealing with space, and academic te- books on specific research fields in space science, applications, or technology. The book addresses a professional readership, while still offering much information to interested laymen. It should well serve students of physics, geodesy, informatics, mechanical, electrical or aerospace engineering. It should give scientists at universities and research institutions an overview of the extensive opportunities offered by space investigations, and industrial engineers and managers additional insights into the commercial potential of space. It should also help decision makers in agencies, governments, and industry to understand better the multidisciplinary interrelationships between utilization aspects and space infrastructure. Our co-authors are amongst the world’s most distinguished leaders in their fields. Their respective areas of - search are presented by many illustrations and focus on the central messages rather than attempting to be exha- tive. Each chapter lists references for further reading, highlighting original publications, the most relevant te- books, and major internet resources.



Data Assimilation For The Earth System


Data Assimilation For The Earth System
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Author : Richard Swinbank
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Data Assimilation For The Earth System written by Richard Swinbank and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


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


Atmospheric Modeling Data Assimilation And Predictability
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Author : Eugenia Kalnay
language : en
Publisher: Cambridge University Press
Release Date : 2003

Atmospheric Modeling Data Assimilation And Predictability written by Eugenia Kalnay and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.


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



Satellite Remote Sensing In Hydrological Data Assimilation


Satellite Remote Sensing In Hydrological Data Assimilation
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Author : Mehdi Khaki
language : en
Publisher:
Release Date : 2020

Satellite Remote Sensing In Hydrological Data Assimilation written by Mehdi Khaki and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Hydrologic models categories.


This book presents the fundamentals of data assimilation and reviews the application of satellite remote sensing in hydrological data assimilation. Although hydrological models are valuable tools to monitor and understand global and regional water cycles, they are subject to various sources of errors. Satellite remote sensing data provides a great opportunity to improve the performance of models through data assimilation.



Comprehensive Remote Sensing


Comprehensive Remote Sensing
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Author : Shunlin Liang
language : en
Publisher: Elsevier
Release Date : 2017-11-08

Comprehensive Remote Sensing written by Shunlin Liang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-08 with Science categories.


Comprehensive Remote Sensing, Nine Volume Set covers all aspects of the topic, with each volume edited by well-known scientists and contributed to by frontier researchers. It is a comprehensive resource that will benefit both students and researchers who want to further their understanding in this discipline. The field of remote sensing has quadrupled in size in the past two decades, and increasingly draws in individuals working in a diverse set of disciplines ranging from geographers, oceanographers, and meteorologists, to physicists and computer scientists. Researchers from a variety of backgrounds are now accessing remote sensing data, creating an urgent need for a one-stop reference work that can comprehensively document the development of remote sensing, from the basic principles, modeling and practical algorithms, to various applications. Fully comprehensive coverage of this rapidly growing discipline, giving readers a detailed overview of all aspects of Remote Sensing principles and applications Contains ‘Layered content’, with each article beginning with the basics and then moving on to more complex concepts Ideal for advanced undergraduates and academic researchers Includes case studies that illustrate the practical application of remote sensing principles, further enhancing understanding



Optimal Mobile Sensing And Actuation Policies In Cyber Physical Systems


Optimal Mobile Sensing And Actuation Policies In Cyber Physical Systems
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Author : Christophe Tricaud
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-10-14

Optimal Mobile Sensing And Actuation Policies In Cyber Physical Systems written by Christophe Tricaud and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-10-14 with Technology & Engineering categories.


A successful cyber-physical system, a complex interweaving of hardware and software with some part of the physical environment, depends on proper identification of the, often pre-existing, physical element. A bespoke “cyber” part of the system may then be designed from scratch. Optimal Mobile Sensing and Actuation Strategies in Cyber-physical Systems focuses on distributed-parameter systems the dynamics of which can be modelled with partial differential equations. These are very challenging to observe, their states and inputs being distributed throughout a spatial domain. Consequently, systematic approaches to the optimization of sensor location have to be devised for parameter estimation. The text begins by reviewing the field of cyber-physical systems and introducing background notions of distributed parameter systems and optimal observation theory. New research problems are then defined within this framework. Two important problems considered are optimal mobile sensor trajectory planning and the accuracy effects and allocation of remote sensors. These are followed up with a solution to the problem of optimal robust estimation. Actuation policies are then introduced into the framework with the purpose of improving estimation and optimizing the trajectories of both sensors and actuators simultaneously. The large number of illustrations within the text will assist the reader to visualize the application of the methods proposed. A group of similar examples are used throughout the book to help the reader assimilate the material more easily. The monograph concentrates on the use of methods for which a cyber-physical-systems infrastructure is required. The methods are computationally heavy and require mobile sensors and actuators with communications abilities. Application examples cover fields from environmental science to national security so that readers are encouraged to link the ideas of cyber-physical systems with their own research.



Remote Sensing For Geophysicists


Remote Sensing For Geophysicists
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Author : Mukesh Gupta
language : en
Publisher: CRC Press
Release Date : 2025-03-05

Remote Sensing For Geophysicists written by Mukesh Gupta and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-05 with Science categories.


Geophysical exploration methods are very expensive and invasive methods for surveys. Remote sensing methods are non-invasive and much cheaper for investigating the Earth’s surface. This book bridges this gap and aims to integrate exploration geophysics with remote sensing as a cost-effective method which is easy to implement for prospecting in different areas. It provides exploration geophysicists with the necessary information to use advanced remote sensing technology in the exploration of oil and gas, minerals, and groundwater. It describes the integration of remote sensing in each of the nine exploration methods based on over 11 case studies from different countries across the globe. Features: Describes the geophysical exploration methods that geophysicists frequently use, along with suitable remote sensing techniques Offers a well-structured one-stop guide for finding a suitable remote sensing technique for a specific geophysical exploration method Provides case studies on the exploration of oil, gas, and groundwater with step-by-step instructions using remote sensing technology Serves as a practical field book for exploration geophysicists who never used or rarely use remote sensing. Enables exploration geophysicists to understand and interpret remote sensing data for the assessment of complex explorations This book is an excellent resource for professionals, researchers, academics, and students with a background in remote sensing across many disciplines in Earth sciences such as geology, hydrology, petrology, mining, geography, geosciences, etc.