Presents unique perspectives from leading researchers on the development and application of atmospheric general circulation models. It is a core reference for academic researchers and professionals involved in atmospheric physics, meteorology and climate science, and a resource for graduate-level courses in climate modeling and numerical weather prediction.

General circulation models (GCMs), which define the fundamental dynamics of atmospheric circulation, are nowadays used in various fields of atmospheric science such as weather forecasting, climate predictions and environmental estimations. The Second Edition of this renowned work has been updated to include recent progress of high resolution global modeling. It also contains for the first time aspects of high-resolution global non-hydrostatic models that the author has been studying since the publication of the first edition. Some highlighted results from the Non-hydrostatic ICosahedral Atmospheric Model (NICAM) are also included. The author outlines the theoretical concepts, simple models and numerical methods for modeling the general circulation of the atmosphere. Concentrating on the physical mechanisms responsible for the development of large-scale circulation of the atmosphere, the book offers comprehensive coverage of an important and rapidly developing technique used in the atmospheric science. Dynamic interpretations of the atmospheric structure and their aspects in the general circulation model are described step by step.

Contributors. Foreword -- -- Preface -- -- A Arakawa -- Personal Perspective on the Early Years of General Circulation Modeling at UCLA. -- -- P.N. Edwards -- A Brief History of Atmospheric General Circulation Modeling. -- -- J.M. Lewis -- Clarifying the Dynamics of the General Circulation: Phillips's 1956 Experiment. -- -- J. Hansen, et al. -- Climate Modeling in the Global Warming Debate. -- -- M. Halem, J Kouatchou, A. Hudson -- A Retrospective Analysis of the Pioneering Data Assimilation Experiments with the Mintz-Arakawa General Circulation Model. -- -- W. Schubert -- A Retrospective View of Arakawa's Ideas on Cumulus Parameterization. -- -- A. Kasahara -- On the Origin of Cumulus Parameterization for Numerical Prediction Models. -- -- K. Emanuel -- Quasi-Equilibrium Thinking. -- -- S. Moorthi -- Application of Relaxed Arakawa-Schubert Cumulus Parameterization t the NCEP Climate Model: Some Sensitivity Experiments. -- -- M. Ghil & A.W. Robertson -- Solving Problems with GCMs: Gene ...

This book surveys recent developments in numerical techniques for global atmospheric models. It is based upon a collection of lectures prepared by leading experts in the field. The chapters reveal the multitude of steps that determine the global atmospheric model design. They encompass the choice of the equation set, computational grids on the sphere, horizontal and vertical discretizations, time integration methods, filtering and diffusion mechanisms, conservation properties, tracer transport, and considerations for designing models for massively parallel computers. A reader interested in applied numerical methods but also the many facets of atmospheric modeling should find this book of particular relevance.

This first encyclopaedic reference on remote sensing describes the concepts, techniques, instrumentation, data analysis, interpretation, and applications of remote sensing, both airborne and space-based. Scientists, engineers, academics, and students can quickly access answers to their reference questions and direction for further study.

This book is the standard reference based on roughly 20 years of research on atmospheric rivers, emphasizing progress made on key research and applications questions and remaining knowledge gaps. The book presents the history of atmospheric-rivers research, the current state of scientific knowledge, tools, and policy-relevant (science-informed) problems that lend themselves to real-world application of the research—and how the topic fits into larger national and global contexts. This book is written by a global team of authors who have conducted and published the majority of critical research on atmospheric rivers over the past years. The book is intended to benefit practitioners in the fields of meteorology, hydrology and related disciplines, including students as well as senior researchers.

The science behind global warming, and its history: how scientists learned to understand the atmosphere, to measure it, to trace its past, and to model its future. Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, “sound science.” In A Vast Machine Paul Edwards has news for these skeptics: without models, there are no data. Today, no collection of signals or observations—even from satellites, which can “see” the whole planet with a single instrument—becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere—to measure it, trace its past, and model its future.