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As climate has warmed over recent years, a new pattern of more frequent and more intense weather events has unfolded across the globe. Climate models simulate such changes in extreme events, and some of the reasons for the changes are well understood. Warming increases the likelihood of extremely hot days and nights, favors increased atmospheric moisture that may result in more frequent heavy rainfall and snowfall, and leads to evaporation that can exacerbate droughts. Even with evidence of these broad trends, scientists cautioned in the past that individual weather events couldn't be attributed to climate change. Now, with advances in understanding the climate science behind extreme events and the science of extreme event attribution, such blanket statements may not be accurate. The relatively young science of extreme event attribution seeks to tease out the influence of human-cause climate change from other factors, such as natural sources of variability like El Niño, as contributors to individual extreme events. Event attribution can answer questions about how much climate change influenced the probability or intensity of a specific type of weather event. As event attribution capabilities improve, they could help inform choices about assessing and managing risk, and in guiding climate adaptation strategies. This report examines the current state of science of extreme weather attribution, and identifies ways to move the science forward to improve attribution capabilities.
Regional Climate of China is the first volume to present the latest research findings gained over the last decade which has greatly advanced our knowledge of the regional climate researches in China. A distinctive feature of the volume is that it is based on an integration of researches by using the advanced technologies, such as field observation and experiment, satellite information and numerical models in the regional climate studies.
" ... articles originating from invited papers published in the Philosophical Transactions of the Royal Society, [series A]."-- P. [4] of cover.
Empirical-statistical downscaling (ESD) is a method for estimating how local climatic variables are affected by large-scale climatic conditions. ESD has been applied to local climate/weather studies for years, but there are few ? if any ? textbooks on the subject. It is also anticipated that ESD will become more important and commonplace in the future, as anthropogenic global warming proceeds. Thus, a textbook on ESD will be important for next-generation climate scientists.
The United States and China are the world's top two energy consumers and, as of 2010, the two largest economies. Consequently, they have a decisive role to play in the world's clean energy future. Both countries are also motivated by related goals, namely diversified energy portfolios, job creation, energy security, and pollution reduction, making renewable energy development an important strategy with wide-ranging implications. Given the size of their energy markets, any substantial progress the two countries make in advancing use of renewable energy will provide global benefits, in terms of enhanced technological understanding, reduced costs through expanded deployment, and reduced greenhouse gas (GHG) emissions relative to conventional generation from fossil fuels. Within this context, the U.S. National Academies, in collaboration with the Chinese Academy of Sciences (CAS) and Chinese Academy of Engineering (CAE), reviewed renewable energy development and deployment in the two countries, to highlight prospects for collaboration across the research to deployment chain and to suggest strategies which would promote more rapid and economical attainment of renewable energy goals. Main findings and concerning renewable resource assessments, technology development, environmental impacts, market infrastructure, among others, are presented. Specific recommendations have been limited to those judged to be most likely to accelerate the pace of deployment, increase cost-competitiveness, or shape the future market for renewable energy. The recommendations presented here are also pragmatic and achievable.
Statistical Methods in the Atmospheric Sciences, Third Edition, explains the latest statistical methods used to describe, analyze, test, and forecast atmospheric data. This revised and expanded text is intended to help students understand and communicate what their data sets have to say, or to make sense of the scientific literature in meteorology, climatology, and related disciplines. In this new edition, what was a single chapter on multivariate statistics has been expanded to a full six chapters on this important topic. Other chapters have also been revised and cover exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, and time series analysis. There is now an expanded treatment of resampling tests and key analysis techniques, an updated discussion on ensemble forecasting, and a detailed chapter on forecast verification. In addition, the book includes new sections on maximum likelihood and on statistical simulation and contains current references to original research. Students will benefit from pedagogical features including worked examples, end-of-chapter exercises with separate solutions, and numerous illustrations and equations. This book will be of interest to researchers and students in the atmospheric sciences, including meteorology, climatology, and other geophysical disciplines. - Accessible presentation and explanation of techniques for atmospheric data summarization, analysis, testing and forecasting - Many worked examples - End-of-chapter exercises, with answers provided
Cambridge, UK : Cambridge University Press, 1998.
This book aims to share newly obtained results and information on regional oceanography of the South China Sea by leading experts in fields such as water mass, circulation, mesoscale eddies, near-inertial motion, upwelling, mixing, continental shelf waves, internal waves and fronts. These comprehensive results can provide new insights on global and regional climate change.
As American leadership over climate change declines, China has begun to identify itself as a great power by formulating ambitious climate policies. Based on the premise that great powers have unique responsibilities, this book explores how China’s rise to great power status transforms notions of great power responsibility in general and international climate politics in particular. The author looks empirically at the Chinese party-state’s conceptions of state responsibility, discusses the influence of those notions on China’s role in international climate politics, and considers both how China will act out its climate responsibility in the future and the broader implications of these actions. Alongside the argument that the international norm of climate responsibility is an emerging attribute of great power responsibility, Kopra develops a normative framework of great power responsibility to shed new light on the transformations China’s rise will yield and the kind of great power China will prove to be. The book will be of interest to students and scholars of international relations, China studies, foreign policy studies, international organizations, international ethics and environmental politics.
In the last 30 years, China’s record economic growth lifted half a billion people out of poverty, with rapid urbanization providing abundant labor, cheap land, and good infrastructure. While China has avoided some of the common ills of urbanization, strains are showing as inefficient land development leads to urban sprawl and ghost towns, pollution threatens people’s health, and farmland and water resources are becoming scarce. With China’s urban population projected to rise to about one billion – or close to 70 percent of the country’s population – by 2030, China’s leaders are seeking a more coordinated urbanization process. Urban China is a joint research report by a team from the World Bank and the Development Research Center of China’s State Council which was established to address the challenges and opportunities of urbanization in China and to help China forge a new model of urbanization. The report takes as its point of departure the conviction that China's urbanization can become more efficient, inclusive, and sustainable. However, it stresses that achieving this vision will require strong support from both government and the markets for policy reforms in a number of area. The report proposes six main areas for reform: first, amending land management institutions to foster more efficient land use, denser cities, modernized agriculture, and more equitable wealth distribution; second, adjusting the hukou household registration system to increase labor mobility and provide urban migrant workers equal access to a common standard of public services; third, placing urban finances on a more sustainable footing while fostering financial discipline among local governments; fourth, improving urban planning to enhance connectivity and encourage scale and agglomeration economies; fifth, reducing environmental pressures through more efficient resource management; and sixth, improving governance at the local level.