Optimal fingerprints for the detection of time dependent climate change PDF Download
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Author: Klaus Hasselmann
Publisher:
ISBN:
Category :
Languages : de
Pages : 41
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Book Description
Author: Klaus Hasselmann
Publisher:
ISBN:
Category :
Languages : de
Pages : 41
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Book Description
Author: Klaus Hasselmann
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Author: Chris Eliot Forest
Publisher:
ISBN:
Category :
Languages : en
Pages : 46
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Book Description
(Cont.) The MIT model permits one to systematically vary the model's climate sensitivity (by varying the strength of the cloud feedback) and rate of mixing of heat into the deep ocean and determine how the goodness-of-fit with observations depends on these factors. This approach provides an efficient framework for interpreting detection and attribution results in physical terms. For the aerosol forcing set in the middle of the IPCC range, two sets of model parameters are rejected as being implausible when the model response is compared with observations. The first set corresponds to high climate sensitivity and low heat uptake by the deep ocean. The second set corresponds to low sensitivities for all values of heat uptake. These results demonstrate that fingerprint patterns must be carefully chosen, if their detection is to reduce the uncertainty of physically important model parameters which affect projections of climate change.
Author: Manfred Mudelsee
Publisher: Springer
ISBN: 3319044508
Category : Science
Languages : en
Pages : 477
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Book Description
Climate is a paradigm of a complex system. Analysing climate data is an exciting challenge, which is increased by non-normal distributional shape, serial dependence, uneven spacing and timescale uncertainties. This book presents bootstrap resampling as a computing-intensive method able to meet the challenge. It shows the bootstrap to perform reliably in the most important statistical estimation techniques: regression, spectral analysis, extreme values and correlation. This book is written for climatologists and applied statisticians. It explains step by step the bootstrap algorithms (including novel adaptions) and methods for confidence interval construction. It tests the accuracy of the algorithms by means of Monte Carlo experiments. It analyses a large array of climate time series, giving a detailed account on the data and the associated climatological questions. “....comprehensive mathematical and statistical summary of time-series analysis techniques geared towards climate applications...accessible to readers with knowledge of college-level calculus and statistics.” (Computers and Geosciences) “A key part of the book that separates it from other time series works is the explicit discussion of time uncertainty...a very useful text for those wishing to understand how to analyse climate time series.” (Journal of Time Series Analysis) “...outstanding. One of the best books on advanced practical time series analysis I have seen.” (David J. Hand, Past-President Royal Statistical Society)
Author: Antonio Navarra
Publisher: Springer Science & Business Media
ISBN: 9400757816
Category : Science
Languages : en
Pages : 367
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Book Description
Volume 1 of a three-volume final report describes, synthesizes and analyzes the results of the four-year Integrated Research Project CIRCE – Climate Change and Impact Research: Mediterranean Environment, funded by the EU 6th Framework Programme. Conducted under the auspices of the National Institute of Geophysics and Volcanology in Rome, Italy, CIRCE was designed to predict and to quantify the physical impacts of climate change in the Mediterranean, and to assess the most influential consequences for the region’s population. This volume incorporates the first two parts of the report, reviewing current knowledge of observed climate variability and trends in the Mediterranean, and including descriptions of available temperature and precipitation station and gridded data sets.
Author: Alan E. Gelfand
Publisher: CRC Press
ISBN: 1498752128
Category : Mathematics
Languages : en
Pages : 876
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Book Description
This handbook focuses on the enormous literature applying statistical methodology and modelling to environmental and ecological processes. The 21st century statistics community has become increasingly interdisciplinary, bringing a large collection of modern tools to all areas of application in environmental processes. In addition, the environmental community has substantially increased its scope of data collection including observational data, satellite-derived data, and computer model output. The resultant impact in this latter community has been substantial; no longer are simple regression and analysis of variance methods adequate. The contribution of this handbook is to assemble a state-of-the-art view of this interface. Features: An internationally regarded editorial team. A distinguished collection of contributors. A thoroughly contemporary treatment of a substantial interdisciplinary interface. Written to engage both statisticians as well as quantitative environmental researchers. 34 chapters covering methodology, ecological processes, environmental exposure, and statistical methods in climate science.
Author: Frank Chambers
Publisher: Taylor & Francis US
ISBN: 9780415276603
Category : Nature
Languages : en
Pages : 488
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Book Description
This collection of papers is introduced by an overview of research into climate change. Each volume contains an introductory commentary presenting the major strengths and achievements of the papers, their weaknesses and limitations and points to follow-up work.
Author:
Publisher:
ISBN:
Category : Atmospheric ozone
Languages : en
Pages : 96
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Book Description
Author: Hugues Goosse
Publisher: Cambridge University Press
ISBN: 1107083893
Category : Science
Languages : en
Pages : 377
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Book Description
An introductory textbook on all aspects of climate system dynamics and modelling for students, scientists and professionals.
Author: Hans von Storch
Publisher: Cambridge University Press
ISBN: 1139425099
Category : Science
Languages : en
Pages : 979
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Book Description
Climatology is, to a large degree, the study of the statistics of our climate. The powerful tools of mathematical statistics therefore find wide application in climatological research. The purpose of this book is to help the climatologist understand the basic precepts of the statistician's art and to provide some of the background needed to apply statistical methodology correctly and usefully. The book is self contained: introductory material, standard advanced techniques, and the specialised techniques used specifically by climatologists are all contained within this one source. There are a wealth of real-world examples drawn from the climate literature to demonstrate the need, power and pitfalls of statistical analysis in climate research. Suitable for graduate courses on statistics for climatic, atmospheric and oceanic science, this book will also be valuable as a reference source for researchers in climatology, meteorology, atmospheric science, and oceanography.
