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This book is a critical appraisal of the status of the so-called Climate Sciences (CS). These are contributed by many other basic sciences like physics, geology, chemistry and as such employ theoretical and experimental methods. In the last few decades most of the CS have been identified with the global warming problem and numerical models have been used as the main tool for their investigations. The produced predictions can only be partially tested against experimental data and may represent one of the reasons CS are drifting away from the route of the scientific method. On the other hand the study of climate faces many other interesting and mostly unsolved problems (think about ice ages) whose solution could clarify how the climatic system works. As for the global warming, while its existence is largely proved, scientifically it can be solved only with a large experimental effort carried out for a few decades. Problems can arise when not proved hypotheses are adopted as the basis for public policy without the recognition that they may be on shaky ground. The strong interactions of the Global Warming (GW) with the society create another huge problem of political nature for the CS. The book argues that the knowledge gained so far on the specific GW problem is enough for the relevant political decisions to be taken and that Climate Science should resume the study of the climate system with appropriate means and methods. The book introduces the most relevant concepts needed for the discussion in the text or in appropriate appendices and it is directed to the general public with upper undergraduate background. Each chapter closes with a debate between a climate scientist and a humanist to reflect the discussions between climate science and philosophy or climate scientists and society.
Environment. --- Climate change. --- Political science. --- Philosophy and science. --- Atmospheric sciences. --- Climate Change. --- Climate Change Management and Policy. --- Atmospheric Sciences. --- Philosophy of Science. --- Environment Studies. --- Political Science. --- Climatology. --- Climate --- Climate science --- Climate sciences --- Science of climate --- Atmospheric science --- Meteorology --- Climatic changes. --- Science --- Philosophy. --- Administration --- Civil government --- Commonwealth, The --- Government --- Political theory --- Political thought --- Politics --- Science, Political --- Social sciences --- State, The --- 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 --- Climatology --- Climate change mitigation --- Teleconnections (Climatology) --- Normal science --- Philosophy of science --- Environmental aspects --- Science and philosophy --- Atmospheric sciences --- Earth sciences --- Atmosphere --- Global environmental change --- Balance of nature --- Biology --- Bionomics --- Ecological processes --- Ecological science --- Ecological sciences --- Environment --- Environmental biology --- Oecology --- Environmental sciences --- Population biology --- Ecology
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This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers. Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation. The book explains how modelers use evolutionary algorithms to develop machine learning models. The book presents the uncertainty concept in the modeling process. New methods are presented for comparing machine learning models in this book. Models presented in this book can be applied in different fields. Effective strategies are presented for agricultural and water management. The models presented in the book can be applied worldwide and used in any region of the world. The models of the current books are new and advanced. Also, the new optimization algorithms of the current book can be used for solving different and complex problems. This book can be used as a comprehensive handbook in the agricultural and meteorological sciences. This book explains the different levels of the modeling process for scholars.
Machine learning. --- Atmospheric science. --- Subsistence farming. --- Machine Learning. --- Atmospheric Science. --- Subsistence Agriculture. --- Farming, Subsistence --- Subsistence agriculture --- Subsistence harvest of farm produce --- Subsistence use of farm produce --- Agriculture --- Subsistence economy --- Atmospheric sciences --- Earth sciences --- Atmosphere --- Learning, Machine --- Artificial intelligence --- Machine theory --- Meteorology. --- Agricultural applications. --- Aerology --- Atmospheric science --- Data processing --- Aprenentatge automàtic --- Intel·ligència artificial --- Agricultura --- Meteorologia
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