Introduction to Climate Science
Author | : Andreas Schmittner |
Publisher | : |
Total Pages | : |
Release | : |
Genre | : Earth sciences |
ISBN | : |
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Author | : Andreas Schmittner |
Publisher | : |
Total Pages | : |
Release | : |
Genre | : Earth sciences |
ISBN | : |
Author | : National Research Council |
Publisher | : National Academies Press |
Total Pages | : 251 |
Release | : 2009-01-06 |
Genre | : Science |
ISBN | : 0309185564 |
Detailed weather observations on local and regional levels are essential to a range of needs from forecasting tornadoes to making decisions that affect energy security, public health and safety, transportation, agriculture and all of our economic interests. As technological capabilities have become increasingly affordable, businesses, state and local governments, and individual weather enthusiasts have set up observing systems throughout the United States. However, because there is no national network tying many of these systems together, data collection methods are inconsistent and public accessibility is limited. This book identifies short-term and long-term goals for federal government sponsors and other public and private partners in establishing a coordinated nationwide "network of networks" of weather and climate observations.
Author | : Peter Domonkos |
Publisher | : Elsevier |
Total Pages | : 306 |
Release | : 2022-11-15 |
Genre | : Science |
ISBN | : 0323904882 |
Climate Observations: Data Quality Control and Time Series Homogenization pulls together the different phases of the production of high-quality climatic datasets, allowing interested readers to obtain a coherent picture on the complexity and importance of this task. There are several new methods of time series homogenization, each very complex and fast developing. The thematic discussion of the production of high quality climatic datasets provides the opportunity to reduce errors, including the careful installation of meteorological instruments, the application of strict observing rules and inspections, and the use of sophistically developed statistical software to detect and remove errors or biases. This book is intended for professionals working on climate data management at the national meteorological services, for the users of observed climatic data, and for students and researchers studying atmospheric and climate science. Members of the Royal Meteorological Society are eligible for a 35% discount on all Developments in Weather and Climate Science series titles. See the RMetS member dashboard for the discount code. Describes the research tasks and tools for which the reliability and accuracy of climatic data is particularly important Includes case studies to provide real-world context to the research presented in the book Features benchmark datasets that have been used for testing the stable operation and efficiency of homogenization methods Explains the use of semiautomatic quality control software, recently developed effective homogenization methods, their testing, and related new concepts and statistical tools
Author | : Marie-Jeanne S. Royer |
Publisher | : Springer |
Total Pages | : 92 |
Release | : 2015-12-14 |
Genre | : Science |
ISBN | : 3319251813 |
This book examines the effects of climate and environmental change in the Eastern James Bay, Canada. This socio-environmentally oriented volume integrates scientific literature with the established ecological knowledge to explore current issues. This multidisciplinary approach allows for a broader understanding of the forces at play on the environment and the societies that inhabit it. It is suited to a wide range of readers from researchers and professionals working in the field to graduate students in climate change, geography, environmental science and ecology.
Author | : Antonio Navarra |
Publisher | : Springer Science & Business Media |
Total Pages | : 151 |
Release | : 2010-04-05 |
Genre | : Science |
ISBN | : 9048137020 |
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. Supplementary datasets are available via http://extra.springer.com
Author | : National Academies of Sciences, Engineering, and Medicine |
Publisher | : National Academies Press |
Total Pages | : 151 |
Release | : 2018-01-20 |
Genre | : Science |
ISBN | : 0309466806 |
The ocean is an integral component of the Earth's climate system. It covers about 70% of the Earth's surface and acts as its primary reservoir of heat and carbon, absorbing over 90% of the surplus heat and about 30% of the carbon dioxide associated with human activities, and receiving close to 100% of fresh water lost from land ice. With the accumulation of greenhouse gases in the atmosphere, notably carbon dioxide from fossil fuel combustion, the Earth's climate is now changing more rapidly than at any time since the advent of human societies. Society will increasingly face complex decisions about how to mitigate the adverse impacts of climate change such as droughts, sea-level rise, ocean acidification, species loss, changes to growing seasons, and stronger and possibly more frequent storms. Observations play a foundational role in documenting the state and variability of components of the climate system and facilitating climate prediction and scenario development. Regular and consistent collection of ocean observations over decades to centuries would monitor the Earth's main reservoirs of heat, carbon dioxide, and water and provides a critical record of long-term change and variability over multiple time scales. Sustained high-quality observations are also needed to test and improve climate models, which provide insights into the future climate system. Sustaining Ocean Observations to Understand Future Changes in Earth's Climate considers processes for identifying priority ocean observations that will improve understanding of the Earth's climate processes, and the challenges associated with sustaining these observations over long timeframes.
Author | : |
Publisher | : |
Total Pages | : 32 |
Release | : 2001 |
Genre | : Climatic changes |
ISBN | : |
Author | : Zhihua Zhang |
Publisher | : |
Total Pages | : 344 |
Release | : 2019-12 |
Genre | : |
ISBN | : 0128187034 |
Big Data Mining for Climate Change addresses how to manage the vast amount of information available for analysis. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information currently available...and it is growing exponentially. This book walks through the latest research and how to navigate the resources available using big data applications. It is appropriate for scientists and advanced students studying climate change from a number of disciplines, including the atmospheric sciences, oceanic sciences, geography, environment sciences, ecology, energy, economics, engineering and public policy. Provides a step-by-step guide for applying big data mining tools to climate and environmental research Presents a comprehensive review of theory and algorithms of big data mining for climate change Includes current research in climate and environmental science as it relates to using big data algorithms
Author | : Christian-D. Schönwiese |
Publisher | : Springer Science & Business Media |
Total Pages | : 246 |
Release | : 1997-03-31 |
Genre | : Science |
ISBN | : 9780792344834 |
Climate varies on all scales of time and space, bya large variety of reasons. However, before any discussion of reasons can be performed it is necessary to realize the very facts of climate variability by means of observations or reconstructions, respectively. In this book we focus on observed long-term trends of selected climate elements (tempera ture, precipitation, humidity, pressure ) as revealed by direct measurements of the Euro pean station network within the recent 100 years. Of course, there are a number of problems in detail: Reliability and accuracy of data, time series homogeneity, statistical confidence oftrends and so on. We hope that these problems are addressed in an instructive and, as far as possible, exhausting way. The main purpose of this work, however, was to provide a collection of trend charts which specify the regional particularities of observed climate trends in different months or seasons of the year leading us to an 'Atlas of observed climate trends in Europe'. Keeping in mind the recent World Meteorological Organization (WMO) climate nor mal (CLINO) period, we have also calculated the 1961-1990 trends.
Author | : Chester F. Ropelewski |
Publisher | : Cambridge University Press |
Total Pages | : 391 |
Release | : 2019-01-17 |
Genre | : Science |
ISBN | : 1108573371 |
Sensational images and stories about variations in Earth's climate and their impacts on society are pervasive in the media. The scientific basis for these stories is often not understood by the general public, nor even by those with a scientific background in fields other than climate science. This book is a comprehensive resource that will enable the reader to understand and appreciate the significance of the flood of climate information. It is an excellent non-mathematical resource for learning the fundamentals of climate analysis, as well as a reference for non-climate experts that need to use climate information and data. The focus is on the basics of the climate system, how climate is observed and how the observations are transformed into datasets useful for monitoring the climate. Each chapter contains Discussion Questions. This is an invaluable textbook on climate analysis for advanced students, and a reference textbook for researchers and practitioners.