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Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the process of configuring, building, and running earth system models. Earth system models are typically a collection of interacting computer codes (often called components) which together simulate the earth system. Each code component is written to model some physical process which forms part of the earth system (such as the Ocean). This book is concerned with the source code version control of these code components, the configuration of these components into earth system models, the creation of executable(s) from the component source code and related libraries and the running and monitoring of the resultant executables on the available hardware.

Climatology -- Computer simulation. --- Climatology -- Mathematical models. --- Climatology. --- Earth & Environmental Sciences --- Geology --- Geography --- Geology - General --- Physical Geography --- Meteorology & Climatology --- Climatic changes. --- Climatic changes --- Environmental aspects. --- Changes, Climatic --- Climate change --- Climate changes --- Climate variations --- Climatic change --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Environmental aspects --- Earth sciences. --- Computer simulation. --- Earth Sciences. --- Earth Sciences, general. --- Simulation and Modeling. --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Geosciences --- Environmental sciences --- Physical sciences --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Changes in climate --- Climate change science --- Geography. --- Cosmography --- Earth sciences --- World history

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Climatology and meteorology have basically been a descriptive science until it became possible to use numerical models, but it is crucial to the success of the strategy that the model must be a good representation of the real climate system of the Earth. Models are required to reproduce not only the mean properties of climate, but also its variability and the strong spatial relations between climate variability in geographically diverse regions. Quantitative techniques were developed to explore the climate variability and its relations between different geographical locations. Methods were borrowed from descriptive statistics, where they were developed to analyze variance of related observations-variable pairs, or to identify unknown relations between variables. A Guide to Empirical Orthogonal Functions for Climate Data Analysis uses a different approach, trying to introduce the reader to a practical application of the methods, including data sets from climate simulations and MATLAB codes for the algorithms. All pictures and examples used in the book may be reproduced by using the data sets and the routines available in the book . Though the main thrust of the book is for climatological examples, the treatment is sufficiently general that the discussion is also useful for students and practitioners in other fields.

Climatology -- Computer simulation. --- Climatology -- Data processing. --- Climatology -- Mathematical models. --- Geology. --- Climatology --- Earth & Environmental Sciences --- Meteorology & Climatology --- Data processing --- Computer simulation --- Mathematical models --- Data processing. --- Computer simulation. --- Mathematical models. --- Climate --- Climate science --- Science of climate --- Earth sciences. --- Climatology. --- Atmospheric sciences. --- Computer mathematics. --- Probabilities. --- Statistics. --- Climate change. --- Earth Sciences. --- Atmospheric Sciences. --- Climate Change. --- Probability Theory and Stochastic Processes. --- Computational Science and Engineering. --- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences. --- Meteorology --- Climate sciences --- Atmospheric science --- Climatic changes. --- Distribution (Probability theory. --- Computer science. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Informatics --- Science --- Distribution functions --- Frequency distribution --- Characteristic functions --- Probabilities --- Changes, Climatic --- Changes in climate --- Climate change --- Climate change science --- Climate changes --- Climate variations --- Climatic change --- Climatic changes --- Climatic fluctuations --- Climatic variations --- Global climate changes --- Global climatic changes --- Climate change mitigation --- Teleconnections (Climatology) --- Environmental aspects --- Statistics . --- Computer mathematics --- Electronic data processing --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Atmospheric sciences --- Earth sciences --- Atmosphere --- Global environmental change