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Adaptive Atmospheric Modeling: Key Techniques in Grid Generation, Data Structures, and Numerical Operations with Applications (2006)

Adaptive Atmospheric Modeling

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"Adaptive Atmospheric Modeling" by Jr̲n Behrens is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Gives an overview and guidance in the development of adaptive techniques for atmospheric modeling. This book covers paradigms of adaptive techniques, such as error estimation and adaptation criteria. Considering applications, it demonstrates several techniques for discretizing relevant conservation laws from atmospheric modeling.

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Best For: Researchers and practitioners in atmospheric modeling and computational mathematics.
Focus: Development and application of adaptive techniques in atmospheric modeling, including error estimation and adaptation criteria.
Covers: Adaptive techniques paradigms, discretization methods for conservation laws in atmospheric contexts, and relevant data structures and numerical operations.
Why It Matters: Provides foundational methods for improving accuracy and efficiency in atmospheric simulations through adaptive modeling approaches.

"Adaptive Atmospheric Modeling" by Jr̲n Behrens is a mathematics book and learning resource focused on Core Mathematics. Best for teachers, students, and readers looking for stronger mathematical understanding.

Topic: Core Mathematics

Author: Jr̲n Behrens

Who this is for:

  • Teachers and classroom instructors
  • Students building subject mastery
  • Readers looking for practical learning support

Why this book matters: It stands out as a practical math resource that helps explain concepts, strengthen problem-solving, and support classroom or independent learning.

Gives an overview and guidance in the development of adaptive techniques for atmospheric modeling. This book covers paradigms of adaptive techniques, such as error estimation and adaptation criteria. Considering applications, it demonstrates several techniques for discretizing relevant conservation laws from atmospheric modeling.

AuthorJr̲n Behrens
PublisherSpringer Science & Business Media
Published2006-08-11
ISBN-139783540333821
BindingPaperback
Pages222
LanguageEnglish
SubjectsComputers
TopicCore Mathematics
SeriesLecture Notes in Computational Science and Engineering

Format: Paperback

Length: 222 pages

Language: English

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