Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place. It includes practical exercises enabling readers to apply theory in both a theoretical formulation as well as teach them how to code the theory with toy problems to verify their understanding. It also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to land surface, the atmosphere, ocean and other geophysical situations. The second edition of Data Assimilation for the Geosciences has been revised with up to date research that is going on in data assimilation, as well as how to apply the techniques. The new edition features an introduction of how machine learning and artificial intelligence are interfacing and aiding data assimilation. In addition to appealing to students and researchers across the geosciences, this now also appeals to new students and scientists in the field of data assimilation as it will now have even more information on the techniques, research, and applications, consolidated into one source. - Includes practical exercises and solutions enabling readers to apply theory in both a theoretical formulation as well as enabling them to code theory - Provides the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place - New to this edition: covers new topics such as Observing System Experiments (OSE) and Observing System Simulation Experiments; and expanded approaches for machine learning and artificial intelligence
Semi-Lagrangian Advection Methods and Their Applications in Geoscience provides a much-needed resource on semi-Lagrangian theory, methods, and applications. Covering a variety of applications, the book brings together developments of the semi-Lagrangian in one place and offers a comparison of semi-Lagrangian methods with Eulerian-based approaches. It also includes a chapter dedicated to difficulties of dealing with the adjoint of semi-Lagrangian methods and illustrates the behavior of different schemes for different applications. This allows for a better understanding of which schemes are most efficient, stable, consistent, and likely to introduce the minimum model error into a given problem. Beneficial for students learning about numerical approximations to advection, researchers applying these techniques to geoscientific modeling, and practitioners looking for the best approach for modeling, Semi-Lagrangian Advection Methods and Their Applications in Geoscience fills a crucial gap in numerical modeling and data assimilation in geoscience. - Provides a single resource for understanding semi-Lagrangian methods and what is involved in its application - Includes exercises and codes to supplement learning and create opportunities for practice - Includes coverage of adjoints, examining the advantages and disadvantages of different approaches in multiple coordinate systems and different discretizations - Includes links to numerical datasets and animations to further enhance understanding
Comprehensive and lavishly illustrated, McKee's Pathology of the Skin, 5th Edition, is your reference of choice for up-to-date, authoritative information on dermatopathology. You'll find clinical guidance from internationally renowned experts along with details on etiology, pathogenesis, histopathology, and differential diagnosis – making this unique reference unparalleled in its wealth of clinical and histopathological material. The 5th Edition of this classic text is a must-have resource for practicing dermatopathologists and general pathologists who sign out skin biopsies. - Covers pathological aspects of skin diseases in addition to providing superb descriptions and illustrations of their clinical manifestations – the only available reference with this unique combination of features. - Integrates dermatopathology, clinical correlations, and clinical photographs throughout, and features bulleted lists of clinical features and differential diagnosis tables for easy reference. - Contains more than 5,000 superb histopathologic and clinical illustrations that demonstrate the range of histologic manifestations. - Brings you fully up to date with key molecular aspects of disease, the capabilities and limitations of molecular diagnostics, and targeted/personalized medicine. - Features up-to-date information on biologics, drug eruptions, and other developments in therapeutics. - Helps you stay current with the latest diagnostic tumor markers and other new developments in immunohistochemistry. - Includes a completely revised chapter on cutaneous lymphoma that reflects recent WHO-EORTC classification changes, as well as new coverage of sentinel lymph node biopsy for melanoma. - Shares the knowledge of the main editor Dr. J. Eduardo Calonje, along with co-editors Thomas Brenn, and Alexander Lazar, and new co-editor Steven D. Billings who offers expertise on both dermatopathology and soft tissue tumors. - Enhanced eBook version included with purchase. Your enhanced eBook allows you to access all of the text, figures, and references from the book on a variety of devices.
The issue of Hospital Medicine Clinics, Guest Edited by Steven B. Pestka, will include Evidence for Telemetry; Sepsis; Trauma in the Elderly; Hemophagocytic Lymphohistiocytosis; Preeclampsia; Enhances in Patient Safety Through Alarms Management; Goals of Care in Oncology Patients; Urology; and Peripheral Artery Disease: What Hospitalists Need To Know For Effective Management.
Phytormediation is an exciting new method for controlling and cleaning up hazardous wastes using green plants. This book is the first to compile the state of the science and engineering arts in this rapidly advancing field. Phytormediation: Approaches the subject from the perspectives of biochemistry, genetics, toxicology, and pathway analysis. Is written by two of the premier experts in the field.
Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place. It includes practical exercises enabling readers to apply theory in both a theoretical formulation as well as teach them how to code the theory with toy problems to verify their understanding. It also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to land surface, the atmosphere, ocean and other geophysical situations. The second edition of Data Assimilation for the Geosciences has been revised with up to date research that is going on in data assimilation, as well as how to apply the techniques. The new edition features an introduction of how machine learning and artificial intelligence are interfacing and aiding data assimilation. In addition to appealing to students and researchers across the geosciences, this now also appeals to new students and scientists in the field of data assimilation as it will now have even more information on the techniques, research, and applications, consolidated into one source. - Includes practical exercises and solutions enabling readers to apply theory in both a theoretical formulation as well as enabling them to code theory - Provides the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place - New to this edition: covers new topics such as Observing System Experiments (OSE) and Observing System Simulation Experiments; and expanded approaches for machine learning and artificial intelligence
Semi-Lagrangian Advection Methods and Their Applications in Geoscience provides a much-needed resource on semi-Lagrangian theory, methods, and applications. Covering a variety of applications, the book brings together developments of the semi-Lagrangian in one place and offers a comparison of semi-Lagrangian methods with Eulerian-based approaches. It also includes a chapter dedicated to difficulties of dealing with the adjoint of semi-Lagrangian methods and illustrates the behavior of different schemes for different applications. This allows for a better understanding of which schemes are most efficient, stable, consistent, and likely to introduce the minimum model error into a given problem. Beneficial for students learning about numerical approximations to advection, researchers applying these techniques to geoscientific modeling, and practitioners looking for the best approach for modeling, Semi-Lagrangian Advection Methods and Their Applications in Geoscience fills a crucial gap in numerical modeling and data assimilation in geoscience. - Provides a single resource for understanding semi-Lagrangian methods and what is involved in its application - Includes exercises and codes to supplement learning and create opportunities for practice - Includes coverage of adjoints, examining the advantages and disadvantages of different approaches in multiple coordinate systems and different discretizations - Includes links to numerical datasets and animations to further enhance understanding
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.