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Climate Analysis [Kõva köide]

5.00/5 (2 hinnangut Goodreads-ist)
(University of Maryland, College Park),
  • Formaat: Hardback, 362 pages, kõrgus x laius x paksus: 253x168x23 mm, kaal: 940 g, Worked examples or Exercises; 14 Maps; 31 Halftones, black and white; 7 Line drawings, black and white
  • Ilmumisaeg: 17-Jan-2019
  • Kirjastus: Cambridge University Press
  • ISBN-10: 0521896169
  • ISBN-13: 9780521896160
Teised raamatud teemal:
Climate AnalysisSuurem pilt
  • Formaat: Hardback, 362 pages, kõrgus x laius x paksus: 253x168x23 mm, kaal: 940 g, Worked examples or Exercises; 14 Maps; 31 Halftones, black and white; 7 Line drawings, black and white
  • Ilmumisaeg: 17-Jan-2019
  • Kirjastus: Cambridge University Press
  • ISBN-10: 0521896169
  • ISBN-13: 9780521896160
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780521896160.html
Märksõnad:
This book provides a non-mathematical exposition of climate observations, datasets, and models, based on the authors' combined decades of experience. It describes scientific principles, instruments, observations, climate datasets, and analysis techniques for advanced students, researchers and practitioners in climatology.

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.

Arvustused

'It is written by two highly qualified authors who have made substantive contributions to climate science an accessible survey and a useful addition to the literature; the information contained is well organized.' S. C. Pryor, Choice

Muu info

Explains how climatologists have come to understand current climate variability and trends through analysis of observations, datasets and models.
Foreword x
Antonio J. Busalacchi, Jr.
Preface xiii
Acknowledgments xvi
List of Abbreviations and Acronyms
xviii
1 Earth's Climate System
1(18)
1.1 Introduction
1(1)
1.2 Components of the Climate System
2(4)
1.3 Interactions among Components
6(1)
1.4 Forcing Agents
7(4)
1.5 Cycles in the Climate System
11(6)
1.6 Outline of the Book
17(2)
2 Climate Analysis: Goals and Methods
19(21)
2.1 Introduction
19(1)
2.2 The Basics of Climate Analysis
20(11)
2.3 Analysis of Data from a Single Location
31(4)
2.4 Analysis of Data Fields
35(2)
2.5 Budget Analyses and Other Climate Studies
37(1)
2.6 Summary
38(2)
3 Climate Analysis: Atmospheric Instruments, Observations, and Datasets
40(24)
3.1 Introduction
40(1)
3.2 Direct Surface Observations
41(3)
3.3 Direct Upper Air Observations
44(2)
3.4 Remotely Sensed Observations
46(7)
3.5 Atmospheric Climate Datasets
53(9)
3.6 Summary
62(2)
4 Climate Variability
64(40)
4.1 The Mean Climate
66(4)
4.2 The Mean Seasonal Cycle
70(19)
4.3 Patterns of Climate Variability
89(12)
4.4 Interactions among Climate Variability on Various Time Scales
101(1)
4.5 Summary
102(2)
5 Climate Change
104(23)
5.1 Introduction
104(1)
5.2 Discussion of Definitions
105(2)
5.3 Information Sources
107(2)
5.4 Natural Climate Change on Long Time Scales
109(2)
5.5 Shorter Time Scale Climate Variations
111(3)
5.6 Anthropogenic Climate Change
114(10)
5.7 Future Climate Change
124(3)
6 Temperature: Building Climate Datasets
127(18)
6.1 Introduction
127(1)
6.2 Surface Air Temperature Over Land
128(4)
6.3 Temperature Scales
132(1)
6.4 Observational and Instrumental Considerations
133(4)
6.5 Datasets Based on Station Data
137(3)
6.6 Gridded Temperature Datasets Based on Observations
140(3)
6.7 Other Estimates of Surface Air Temperature
143(2)
7 Precipitation: Combining In Situ and Remotely Sensed Observations in Constructing Climate Datasets
145(23)
7.1 Introduction
145(2)
7.2 Measurements, Estimates, and Inferences
147(10)
7.3 Analyses
157(8)
7.4 Extending the Record -- Reconstructions
165(3)
8 Ocean Climate Datasets
168(21)
8.1 Introduction
168(1)
8.2 Sea Surface Temperature (SST)
169(4)
8.3 Creating Global SST Fields
173(4)
8.4 Other Ocean Surface Properties
177(2)
8.5 The Ocean's Subsurface
179(8)
8.6 Summary
187(2)
9 Cryosphere
189(20)
9.1 Snow Observations and Datasets
190(4)
9.2 Sea Ice Data and Observations
194(3)
9.3 Land-Based Permanent Ice
197(2)
9.4 Observations of Ice on Lakes, Ponds, and Rivers
199(2)
9.5 Permafrost Observations
201(1)
9.6 Climate Variability in the Cryosphere
201(6)
9.7 Summary
207(2)
10 Land Component of the Climate System
209(25)
10.1 Introduction
209(1)
10.2 Mean Land Features and Their Role in Climate
210(2)
10.3 Variable Land Features and Climate Variability
212(2)
10.4 Mean Land-Feature Data for Climate Analysis
214(3)
10.5 Variable Land Data for Climate Analysis
217(6)
10.6 Land Surface in Budget Studies
223(4)
10.7 Land Surface Models and Data Assimilation Systems
227(1)
10.8 Drought
228(4)
10.9 Summary
232(2)
11 Climate Models as Information Sources and Analysis Tools
234(16)
11.1 Introduction
234(1)
11.2 Generating Numerical Model Data for Climate Analysis
235(2)
11.3 Characteristics of Model Generated Data
237(4)
11.4 Model Validation
241(1)
11.5 Model-Based Climate Diagnostics
242(2)
11.6 Advantages and Limitations of Models in Climate Analysis
244(4)
11.7 Summary
248(2)
12 Operational Climate Monitoring and Prediction
250(33)
12.1 Introduction
250(1)
12.2 History
250(17)
12.3 Climate Monitoring and Forecast Products
267(10)
12.4 A Look Forward
277(6)
Appendix A A Short Guide to Some Statistics Used in Climate Analysis 283(7)
Appendix B Vorticity/Divergence, Stream Function/Velocity Potential 290(2)
Appendix C Preliminary Examination of the Data 292(3)
Appendix D Components of the Mean Water Budget 295(2)
Glossary 297(5)
References 302(26)
Index 328
Chester F. Ropelewski has fifty years of experience in climate analysis, including weather forecasting, development of climate datasets and real-time monitoring systems, research in atmospheric turbulence, tropical boundary layers, hurricanes, the North American monsoon, sea ice, snow cover, climate variability, El Niño/Southern Oscillation (ENSO), Quasi-Biennial Oscillation, hydrologic cycle, and droughts. He was awarded the Norbert Gerbier-Mumm Award from the World Meteorological Organization in 1990, and elected a Fellow of the American Meteorological Society in 2001. He is the author of over 100 research papers, book chapters and reports. He was Chief of the Analysis Branch of the Climate Prediction Center of the National Oceanic and Atmospheric Administration (NOAA); Director of the Climate Monitoring section of the International Research Institute for Climate and Society at Columbia University; and a Senior Policy Analyst and Advisor of The Earth Institute, Columbia University. Phillip A. Arkin has over forty years of experience as an innovative research scientist and leader at the National Oceanic and Atmospheric Administration (NOAA); Columbia University; and the University of Maryland, where he currently works. He has played a leading role in shaping the use of satellite data to estimate precipitation for climate studies and created the first system to use weather model analyses for climate monitoring and research. He has initiated and led several international research projects and has mentored a diverse collection of young scientists who have gone on to fruitful careers in climate science. He has published nearly 100 papers in the weather and climate literature, most of them focused on the climate datasets and their applications that are the subject of this book. He is Fellow of the American Meteorological Society (2000), recipient of the Hugh Robert Mill Award from the Royal Meteorology Society (2004), and a Distinguished Alumnus of the University of Maryland.