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This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.
This book develops a detailed, disaggregated theoretical and empirical framework that explains variations in mass killing by authoritarian regimes globally, with a specific focus on Pakistan, Indonesia, and Malaysia. Using a combination of game-theoretic, statistical, and qualitative approaches, this project explicates when civilians within nondemocratic states will mobilize against the ruling elite, and when such mobilization will result in mass killing. In doing so, it illustrates the important role urbanization and food insecurity historically played, and will continue to play, in generating extreme forms of civilian victimization.
This book offers a prospective analysis of the anticipated security consequences of climate change in relation to the North Atlantic Treaty Organization (NATO). Using climate and security literature to complement recent foresight and scenario analysis developed by NATO, the author applies the International Risk Governance Council’s (IRGC) Risk Governance Framework to identify the considerations and actions that could assist NATO in a context where climate and environmental factors more intensively shape security. Tyler Lippert explores how climate change has the potential to increase the need for humanitarian assistance and disaster response, to create tension over shared resources, to ren...
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For many millennia, Indigenous Australians have been engineering the landscape using sophisticated technological and philosophical knowledge systems in a deliberate response to changing social and environmental circumstances. These knowledge systems integrate profound understanding of country and bring together knowledge of the topography and geology of the landscape, its natural cycles and ecological systems, its hydrological systems and natural resources including fauna and flora. This enables people to manage resources sustainably and reliably, and testifies to a developed, contextualised knowledge system and to a society with agency and the capability to maintain and refine accumulated k...
This book focuses on the development of physical parameterization over the last 2 to 3 decades and provides a roadmap for its future development. It covers important physical processes: convection, clouds, radiation, land-surface, and the orographic effect. The improvement of numerical models for predicting weather and climate at a variety of places and times has progressed globally. However, there are still several challenging areas, which need to be addressed with a better understanding of physical processes based on observations, and to subsequently be taken into account by means of improved parameterization. And this is all the more important since models are increasingly being used at higher horizontal and vertical resolutions. Encouraging debate on the cloud-resolving approach or the hybrid approach with parameterized convection and grid-scale cloud microphysics and its impact on models’ intrinsic predictability, the book offers a motivating reference guide for all researchers whose work involves physical parameterization problems and numerical models.
This edited collection of works by leading climate scientists and philosophers introduces readers to issues in the foundations, evaluation, confirmation, and application of climate models. It engages with important topics directly affecting public policy, including the role of doubt, the use of satellite data, and the robustness of models. Climate Modelling provides an early and significant contribution to the burgeoning Philosophy of Climate Science field that will help to shape our understanding of these topics in both philosophy and the wider scientific context. It offers insight into the reasons we should believe what climate models say about the world but addresses the issues that inform how reliable and well-confirmed these models are. This book will be of interest to students of climate science, philosophy of science, and of particular relevance to policy makers who depend on the models that forecast future states of the climate and ocean in order to make public policy decisions.
An introduction to the complex world of climate models that explains why we should trust their predictions despite the uncertainties.