ALBERT

Note: Contents Foreword xi OPENING ADDRESSES Professor G.O.P. Obasi, Secretary General, World Meteorological Organization Dr M.K. Tolba, Executive Director, United Nations Environment Programme Dr F. Mayor, Director General, United Nations Educational, Scientific and Cultural Organization Professor M.G.K. Menon, President, International Council of Scientific Unions Dr H. de Haen, Assistant Director General, Food and Agriculture Organization SCIENTIFIC AND TECHNICAL SESSIONS HIGHLIGHTS OF THE IPCC ASSESSMENT The Intergovernmental Panel on Climate Change (IPCC) / B. Bolin Scientific Assessment of Climate Change: Summary of the IPCC Working Group I Report / J.T. Houghton Greenhouse Gases and Other Climate Forcing Agents / U. Siegenthaler and E. Sanhueza Climate Change Prediction / J. F. B. Mitchell and Zeng Qingcun Climate Trends and Variability / M. Coughian and B.S. Nyenzi Climate Change Impact Studies: The IPCC Working Group II Report / Yu. Izrael Impacts on Hydrology and Water Resources / H.E. Lins, I.A. Shiklomanov and E.Z. Stakhiv Impact of Climate Change on Agriculture, A Critical Assessment / S.K. Sinha Potential Impacts of Climate Change on Human Settlements, the Energy, Transport and Industrial Sectors; Human Health and Air Quality / M. Hashimoto and S. Nishioka The Response Strategies Working Group of the IPCC / F. Bernthal The Greenhouse Marathon: Proposal for a Global Strategy / P. Vellinga and R.J. Swart Adaptation Measures / K.M. Sarma Limitation Strategies / K. Yokobori Report of the IPCC Special Committee on the Participation of Developing Countries / J. Ripert OVERVIEW OF THE WORLD CLIMATE PROGRAMME The World Climate Programme: Achievements and Challenges / J.P, Bruce Modern Data and Applications: World Climate Data Programme, World Climate Applications Programme / V.G. Boldirev Overview of the World Climate Research Programme / P. Morel World Climate Impact Studies Programme / J.C.I. Dooge CLIMATE RESEARCH Global Climate, Energy and Water Cycle / G.A. McBean Remote Sensing and Global Climate Change: Water Cycle and Energy Budget / H. Grassl World Ocean Circulation and Climate Change: Research Programmes and a Global Observing System / D.J. Baker Short Term Climate Variability and Predictions / J. Shukia Paleodata, Paleoclimates and the Greenhouse Effect / H. Oeschger Climate Prediction Based on Past and Current Analogues / M.I. Budyko Detection of the Enhanced Greenhouse Effect on Climate / T.M.L. Wigley and S.C.B. Raper CLIMATE CHANGE AND SOCIO-ECONOMIC ACTIVITIES Water Climate, Water and Development / J. Sircoulon Drought Issues for the 1990s / M.H. Glantz and W. Degefu Agriculture and Food Agriculture and Food Systems / M.S. Swaminathan The Potential Effect of Climate Changes on Agriculture / M. Parry and Zhang Jiachen Oceans, Fisheries and Coastal Zones Effects of Global Climatic Change on Marine Ecosystems and Fisheries / T. Kawasaki Sea Level Rise and Coastal Zone Management / E.M. Eid and C.H. Huisbergen Energy Beginning to Reduce Greenhouse Gas Emissions need not be Expensive: Examples from the Energy Sector / E. Mills, D. Wilson and TB. Johansson Land Use and Urban Planning Climate and Land Use in North Africa / M. Kassas Climate and Urban Planning / R. Taesler Human Dimensions Human Well-being, Diseases and Climate / W.H. Weihe and R. Mertens Population and Global Climate Change / D. Norse Public Information and Attitudes / R. Lamb Environment and Development Climate, Environment and Ecology / W.H. Schlesinger Climate, Tropical Ecosystems and the Survivability of Species / P. Olindo Some Possible Impacts of Climate Change on African Ecosystems / C.H.D. Magadza Forests Forests: Their Role in Global Change, with Special Reference to the Brazilian Amazon / E. Salati, R.L. Victoria, L.A. Martinelli and J. E. Richey Integrated Studies Climate Change and Risk Management / K. Turner, T. ORiordan and R. Kemp Climate, Climate Change, and the Economy / N.S. Jodha and W.J. Maunder Assessing the Regional Implications of Climate Variability and Change / W.E. Riebsame and A. Magalhaes SPECIAL PRESENTATION Climate Change and the United Nations Conference on Environment and Development / M.F. Strong TASK GROUPS AND CONSULTATION GROUP REPORTS Task Group I Climate, Hydrology and Water Resources Task Group 2 Agriculture and Food Task Group 3 Oceans, Fisheries and Coastal Zones Task Group 4 Energy Task Group 5 Land Use and Urban Planning Task Group 6 Human Dimensions of Climate Change Task Group 7 Environment and Development Task Group 8 Forests Task Group 9 WCP Overview Task Group 10 The World Climate Programme: Overview and Future Task Group 11 Scientific Components of International Agreements Task Group 12 Synthesis Consultation Group on the Special Needs of Developing Countries SUMMARIES OF PANEL DISCUSSIONS Global Climate Analogues and Global Climate Models Climate and Environmentally Sustainable Economic Development Industry's Response Co-operation in International Research Programmes CONFERENCE STATEMENT MINISTERIAL SESSIONS OPENING CEREMONY Introduction by Prof. G.O.P. Obasi, Secretary General, WMO H.E. Mr. Arnold Koller, President of the Swiss Confederation His Majesty King Hussein Bin Talal, of the Royal Hashemite Kingdom of Jordan The Rt. Hon. Margaret Thatcher, Prime Minister of the United Kingdom of Great Britain and Northern Ireland H.E. Mr. Michel Rocard, Prime Minister of France The Rt. Hon. Edward Fenech-Adami, Prime Minister of Malta The Rt. Hon. Bikenibeu Paeniu, Prime Minister of Tuvalu Statement by Dr. E. Saouma, Director General, FAO CLOSING CEREMONY Statement by Dr. F. Mayor, Director General, UNESCO MINISTERIAL DECLARATION Appendix 1 SWCC Inter-Agency Committees Appendix 2 Poster Session Papers Appendix 3 Statement by Environmental Non-Governmental Organizations Appendix 4 Participants at the Scientific/Technical Sessions Appendix 5 Countries and Organizations Represented at the Ministerial Sessions Appendix 6 Participating Non-Governmental Organizations Appendix 7 Acronyms Appendix 8 Units

Note: Contents: Preface. - Acknowledgements. - Chapter 1 Climate. - 1.1 The components of climate. - 1.2 Climate modelling and climate prediction. - 1.3 Climate changes and human perception. - 1.4 Feedback mechanisms in climate. - 1.4.1 The ice-albedo feedback mechanism. - 1.4.2 The water vapour “greenhouse”. - 1.4.3 Cloud feedbacks. - 1.4.4 Combining feedback effects. - 1.5 Perturbations on the climate system. - 1.5.1 External causes of climatic change. - 1.5.2 Internal causes of climatic change. - 1.6 Range of questions for climate modelling. - Recommended reading. - Chapter 2 A history of and introduction to climate models. - 2.1 Introducing climate modelling. - 2.2 Types of climate models. - 2.2.1 Energy balance climate models. - 2.2.2 One-dimensional radiative-convective climate models. - 2.2.3 Two-dimensional climate models. - 2.2.4 General circulation climate models. - 2.3 History of climate modelling. - 2.4 Sensitivity of climate models. - 2.5 Parameterization of climatic processes. - 2.6 Simulation of the full, interacting climate system: one goal of modelling. - Chapter 3 Energy balance models. - 3.1 Balancing the planetary radiation budget. - 3.2 The structure of energy balance models. - 3.3 Parameterizing the climate system for energy balance models. - 3.4 A BASIC energy balance climate model. - 3.5 Experiments with energy balance models. - 3.5.1 Explicit modelling of the cryosphere. - 3.6 Box models — another form of energy balance model. - 3.6.1 A simple box model of the ocean-atmosphere. - 3.6.2 A coupled atmosphere, land and ocean energy balance box model. - 3.7 Energy balance models: deceptively simple models. - Recommended reading. - Chapter 4 Radiative-convective models. - 4.1 The concept of a radiative-convective climate model. - 4.2 The structure of global radiative-convective models. - 4.3 Radiation computation. - 4.3.1 Shortwave radiation. - 4.3.2 Longwave radiation. - 4.3.3 Eleat balance at the ground. - 4.4 Convective adjustment. - 4.5 Sensitivity experiments with radiative-convective models. - 4.6 Development of radiative-convective models. - 4.6.1 Cloud amount and height predicted from ‘convection’. - 4.6.2 A water vapour transport model. - 4.7 Radiation: the driver of climate. - Recommended reading. - Chapter 5 Two-dimensional models. - 5.1 Why two-dimensional models?. - 5.2 Two-dimensional statistical dynamical climate models. - 5.3 Convection, cloud cover and precipitation in two-dimensional statistical dynamical models. - 5.4 Radiation and surface characterization in two-dimensional statistical dynamical models. - 5.4.1 Radiation. - 5.4.2 Surface characterization. - 5.5 Intercomparison of a two-and a three-dimensional model. - 5.6 Other types of two-dimensional models. - 5.6.1 An upgraded energy balance model. - 5.6.2 A severely truncated spectral general circulation climate model. - 5.7 Why are some climate modellers Flatlanders?. - Recommended reading. - Chapter 6 General circulation climate models. - 6.1 The structure of general circulation climate models. - 6.2 Dynamics in general circulation climate models. - 6.2.1 Cartesian (or rectangular) grid general circulation climate models. - 6.2.2 Spectral general circulation climate models. - 6.3 Physics in general circulation climate models. - 6.3.1 Radiative transfer. - 6.3.2 Boundary layer. - 6.3.3 Surface parameterization. - 6.3.4 Convection. - 6.3.5 Large scale rainfall. - 6.4 Including ‘other’ elements in general circulation climate models. - 6.4.1 Cloud prediction. - 6.4.2 Modelling the cryosphere. - 6.5 Land surface parameterization in general circulation climate models. - 6.6 Coupled ocean-atmosphere general circulation climate models. - 6.7 Future climate projects and their importance to general circulation climate models. - 6.8 Epilogue. - Recommended reading. - Appendices. - A. Glossary. - B. Climate models: examples of simple microcomputer software. - I. Daisyworld: a simple biospheric feedback climate model. - II. Modelling the climatic impact of anthropogenerated albedo change. - III. An energy balance climate model (EBM). - IV. Carbon dioxide feedback using a simple ocean model. - General Bibliography. - Index.

Note: Contents Preface Acknowledgments 1. Statistics for Spatial Data 1.1 Spatial Data and Spatial Models 1.2 Introductory Examples 1.2.1 Geostatistical Data 1.2.2 Lattice Data 1.2.3 Point Patterns 1.3 Statistics for Spatial Data: Why? PART I GEOSTATISTICAL DATA 2. Geostatistics 2.1 Continuous Spatial Index 2.2 Spatial Data Analysis of Coal Ash in Pennsylvania 2.2.1 Intrinsic Stationarity 2.2.2 Square-Root-Differences Cloud 2.2.3 The Pocket Plot 2.2.4 Decomposing the Data into Large- and Small-Scale Variation 2.2.5 Analysis of Residuals 2.2.6 Variogram of Residuals from Median Polish 2.3 Stationary Processes 2.3.1 Variogram 2.3.2 Covariogram and Correlogram 2.4 Estimation of the Variogram 2.4.1 Comparison of Variogram and Covariogram Estimation 2.4.2 Exact Distribution Theory for the Variogram Estimator 2.4.3 Robust Estimation of the Variogram 2.5 Spectral Representations 2.5.1 Valid Covariograms 2.5.2 Valid Variograms 2.6 Variogram Model Fitting 2.6.1 Criteria for Fitting a Variogram Model 2.6.2 Least Squares 2.6.3 Properties of Variogram-Parameter Estimators 2.6.4 Cross-Validating the Fitted Variogram 3. Spatial Prediction and Kriging 3.1 Scale of Variation 3.2 Ordinary Kriging 3.2.1 Effect of Variogram Parameters on Kriging 3.2.2 Lognormal and Trans-Gaussian Kriging 3.2.3 Cokriging 3.2.4 Some Final Remarks 3.3 Robust Kriging 3.4 Universal Kriging 3.4.1 Universal Kriging of Coal-Ash Data 3.4.2 Trend-Surface Prediction 3.4.3 Estimating the Variogram for Universal Kriging 3.4.4 Bayesian Kriging 3.4.5 Kriging Revisited 3.5 Median-Polish Kriging 3.5.1 Gridded Data 3.5.2 Nongridded Data 3.5.3 Median Polishing Spatial Data: Inference Results 3.5.4 Median-Based Covariogram Estimators are Less Biased 3.6 Geostatistical Data, Simulated and Real 3.6.1 Simulation of Spatial Processes 3.6.2 Conditional Simulation 3.6.3 Geostatistical Data 4. Applications of Geostatistics 4.1 Wolfcamp-Aquifer Data 4.1.1 Intrinsic-Stationarity Assumption 4.1.2 Nonconstant-Mean Assumption 4.2 Soil-Water Tension Data 4.3 Soil-Water-Infiltration Data 4.3.1 Estimating and Modeling the Spatial Dependence 4.3.2 Inference on Mean Effects (Spatial Analysis of Variance) 4.4 Sudden-Infant-Death-Syndrome Data 4.5 Wheat-Yield Data 4.5.1 Presence of Trend in the Data 4.5.2 Intrinsic Stationarity 4.5.3 Median-Polish (Robust) Kriging 4.6 Acid-Deposition Data 4.6.1 Spatial Modeling and Prediction 4.6.2 Sampling Design 4.7 Space-Time Geostatistical Data 5. Special Topics in Statistics for Spatial Data 5.1 Nonlinear Geostatistics 5.2 Change of Support 5.3 Stability of the Geostatistical Method 5.3.1 Estimation of Spatial-Dependence Parameters 5.3.2 Stability of the Kriging Predictor 5.3.3 Stability of the Kriging Variance 5.4 Intrinsic Random Functions of Order k 5.5 Applications of the Theory of Random Processes 5.6 Spatial Design 5.6.1 Spatial Sampling Design 5.6.2 Spatial Experimental Design 5.7 Field Trials 5.7.1 Nearest-Neighbor Analyses 5.7.2 Analyses Based on Spatial Modeling 5.8 Infill Asymptotics 5.9 The Many Faces of Spatial Prediction 5.9.1 Stochastic Methods of Spatial Prediction 5.9.2 Nonstochastic Methods of Spatial Prediction 5.9.3 Comparisons and Some Final Remarks PART II LATTICE DATA 6. Spatial Models on Lattices 6.1 Lattices 6.2 Spatial Data Analysis of Sudden Infant Deaths in North Carolina 6.2.1 Nonspatial Data Analysis 6.2.2 Spatial Data Analysis 6.2.3 Trend Removal 6.2.4 Some Final Remarks 6.3 Conditionally and Simultaneously Specified Spatial Gaussian Models 6.3.1 Simultaneously Specified Spatial Gaussian Models 6.3.2 Conditionally Specified Spatial Gaussian Models 6.3.3 Comparison 6.4 Markov Random Fields 6.4.1 Neighbors, Cliques, and the Negpotential Function Q 6.4.2 Pairwise-Only Dependence and Conditional Exponential Distributions 6.4.3 Some Final Remarks 6.5 Conditionally Specified Spatial Models for Discrete Data 6.5.1 Binary Data 6.5.2 Counts Data 6.6 Conditionally Specified Spatial Models for Continuous Data 6. 7 Simultaneously Specified and Other Spatial Models 6.7.1 Simultaneously Specified Spatial Models 6.7.2 Other Spatial Models 6.8 Space-Time Models 7. Inference for Lattice Models 7.1 Inference for the Mercer and Hall Wheat-Yield Data 7.1.1 Data Description 7.1.2 Spatial Lattice Models 7.2 Parameter Estimation for Lattice Models 7.2.1 Estimation Criteria 7.2.2 Gaussian Maximum Likelihood Estimation 7.2.3 Some Computational Details 7.3 Properties of Estimators 7.3.1 Increasing-Domain Asymptotics 7.3.2 The Jackknife and Bootstrap for Spatial Lattice Data 7.3.3 Cross-Validation and Model Selection 7.4 Statistical Image Analysis and Remote Sensing 7.4.1 Remote Sensing 7 .4.2 Ordinary Discriminant Analysis 7.4.3 Markov-Random-Field Models 7.4.4 Edge Processes 7.4.5 Textured Images 7.4.6 Single Photon Emission Tomography 7.4.7 Least Squares and Image Regularization 7.4.8 Method of Sieves 7.4.9 Mathematical Morphology 7.5 Regional Mapping, Scotland Lip-Cancer Data 7.5.1 Exploratory Regional Mapping 7.5.2 Parametric Empirical Bayes Mapping 7.6 Sudden-Infant-Death-Syndrome Data 7.6.1 Exploratory Spatial Data Analysis 7.6.2 Auto-Poisson Model 7 .6.3 Auto-Gaussian Model 7. 7 Lattice Data, Simulated and Real 7.7.1 Simulation of Lattice Processes 7.7.2 Lattice Data PART III SPATIAL PATTERNS 8. Spatial Point Patterns 8.1 Random Spatial Index 8.2 Spatial Data Analysis of Longleaf Pines (Pinus palustris) 8.2.1 Data Description 8.2.2 Complete Spatial Randomness, Regularity, and Clustering 8.2.3 Quadrat Methods 8.2.4 Kernel Estimators of the Intensity Function 8.2.5 Distance Methods 8.2.6 Nearest-Neighbor Distribution Functions and the K Function 8.2.7 Some Final Remarks 8.3 Point Process Theory 8.3.1 Moment Measures 8.3.2 Generating Functionals 8.3.3 Stationary and Isotropic Point Processes 8.3.4 Palm Distributions 8.3.5 Reduced Second Moment Measure 8.4 Complete Spatial Randomness, Distance Functions, and Second Moment Measures 8.4.1 Complete Spatial Randomness 8.4.2 Distance Functions 8.4.3 K Functions, 8.4.4 Animal-Behavior Data 8.4.5 Some Final Remarks 8.5 Models and Model Fitting 8.5.1 Inhomogeneous Poisson Process 8.5.2 Cox Process 8.5.3 Poisson Cluster Process 8.5.4 Simple Inhibition Point Processes 8.5.5 Markov Point Process 8.5.6 Thinned and Related Point Processes 8.5.7 Other Models 8.5.8 Some Final Remarks 8.6 Multivariate Spatial Point Processes 8.6.1 Theoretical Considerations 8.6.2 Estimation of the Cross K Function 8.6.3 Bivariate Spatial-Point-Process Models 8.7 Marked Spatial Point Processes 8.7.1 Theoretical Considerations 8.7.2 Estimation of Moment Measures 8.7.3 Marked Spatial-Point-Process Models 8.8 Space-Time Point Patterns 8.9 Spatial Point Patterns, Simulated and Real 8.9.1 Simulation of Spatial Point Patterns 8.9.2 Spatial Point Patterns 9. Modeting Objects 9.1 Set Models 9.1.1 Fractal Sets 9.1.2 Fuzzy Sets 9.1.3 Random Closed Sets: An Example 9.2 Random Parallelograms in IR 2 9.3 Random Closed Sets and Mathematical Morphology 9.3.1 Theory and Methods 9.3.2 Inference on Random Closed Sets 9.4 The Boolean Model 9.4.1 Main Properties 9.4.2 Generalizations of the Boolean Model 9.5 Methods of Boolean-Model Parameter Estimation 9.5.1 Analysis of Random-Parallelograms Data 9.5.2 Analysis of Heather-Incidence Data 9.5.3 Intensity Estimation in the Boolean Model 9.6 Inference for the Boolean Model 9.7 Modeling Growth with Random Sets 9.7.1 Random-Set Growth Models 9.7.2 Tumor-Growth Data 9.7.3 Fitting the Tumor-Growth Parameters References Author Index Subject lndex

Note: Contents Preface Acknowledgements 1 Introduction Terms and abbreviations 2 The biogeographlcal setting Geology, physiography, and surface materials The structural framework Pleistocene geology Bioclimates Arctic and its three subzones Subarctic zone Boreal zone Eastern temperate zone Grassland zone Pacific and Cordilleran zones 3 Autecology and pollen representation Introduction Transcontinental, primarily boreal taxa Eastern, primarily temperate taxa Pacific-Cordilleran taxa Arctic taxa Modern regional pollen spectra The Western Interior The eastern plains transect The Pacific-Cordilleran transect General comments on the modern pollen spectra 4 Full-glacial refugla The southern refugia Pacific-Cordilleran refugia Interior plains and eastern region The Beringian refugia 5 Eastern Canada-fossil record and reconstruction Introduction The late glacial - 12,700 to 10,000 yr BP Southern Quebec and New Brunswick Maritime Canada The Great Lakes Basin Vegetation reconstruction The Holocene - 10,000 yr BP to the present Southern Quebec and New Brunswick The Maritimes, Labrador, and Northern Quebec The Great Lakes Vegetation reconstruction Boreal region 6 The Western Interior Sites near the forest-grassland transition Sites within the modern boreal forest Sites near the modern forest-tundra boundary 7 Pacific-Cordilleran region Southern Pacific zone Southern Cordilleran zone Northern Pacific zone Northern Cordilleran zone 8 Vegetation reconstruction and palaeoenvironments Introduction Origins and history Eastern temperate forests Boreal forest Grasslands and parklands Pacific-Cordilleran complex Tundra (arctic) Palaeoenvironmental controls Climate The Milankovitch model Full-glacial conditions Late-glacial and Holocene Fire Pathogens Paludification Problems for the future Climate disequilibrium Spatial resolution Pollen source area Concluding comments Appendix References Index

Note: Contents: CHAPTER 1 ROLE OF PROBABILITY METHODS IN POWER SYSTEM ENGINEERING ; CHAPTER 2 CONCEPTS AND THEOREMS OF PROBABILITY ; CHAPTER 3 RANDOM VARIABLES ; CHAPTER 4 FUNCTIONS OF RANDOM VARIABLES ; CHAPTER 5 STOCHASTIC PROCESSES ; CHAPTER 6 DECISION ANALYSIS ; CHAPTER 7 RELIABILITY ; CHAPTER 8 PROBABILISTIC STRUCTURAL DESIGN AND ANALYSIS OF TRANSMISSION SYSTEMS ; CHAPTER 9 PREVENTIVE MAINTENANCE, INSPECTION, AND REPLACEMENT ; CHAPTER 10 PROBABILISTIC LOAD-FLOW STUDIES ; CHAPTER 11 PROBABILISTIC SHORT-CIRCUIT ANALYSIS ; CHAPTER 12 PROBABILISTIC POWER SYSTEM STABILITY ; CHAPTER 13 MONTE CARLO SIMULATION ; CHAPTER 14 ELEMENTS OF ACCEPTANCE SAMPLING

Note: Contents: 1 Basic concepts ; 2 Cost functions and the theory of the firm ; 3 Elasticity, Efficiency and the theory of the firm ; 4 The Cobb-Douglas function ; 5 The CES function ; 6 The translog function ; 7 Technological progress ; 8 From firms to industry: the Johansen Production Model ; 9 Empirical work on production functions ; Bibliography ; Index

Note: СОДЕРЖАНИЕ основоположник Сибирской школы по изучению четвертичного периода (С.А. Архипов) / Сакс В.В. Астрономическая геохронология антропогена. Проблема сопоставления геохронологических шкал / Краснов И.И. Хроностратиграфическая шкала ледникового плейстоцена севера Зарадной Сибири / Архипов С.А Стратиграфия и термолюминесцентный возраст раннего плейстоцена севера Западной Сибири / Архипов С.А., Куликов О.А Палинология и ледниковая теория / Волкова В.С. Покровное оледенение шельфа Восточной Сибири в позднем плейстоцене / Гросвальд М.Г. Проблемы межрегиональной корреляции четвертичных отложений в свете новых данных по стратиграфии плейстоцена европейской части СССР / Шик С.М. Проблемы стратиграфии четвертичных отложений Прибалтийского пегиона и их межрегиональной корреляции / Гайгалас А.И. Флювиальный процесс на равнинах умеренного пояса в плейстоцене / Волков И.А. Особенности стратиграфического расчленения плейстоцена внутриконтинентальных горных областей / Ендрихинскии А.С. Почвообразование и лессонакопление в плейстоцене юого-восточной части Западной Сибири / Зыкина В.С., Ким Ю.В. Териофауна последнего межледниковья / Алексеева Л.И. Разрез с раннеплейстоценовой вят-кинской фауной и флорой на юге Западной Сибири / Архипов С.А., Круковер А.А., Шелкоnляс В.Н. Мелкие млекопитающие тобольского горизонта / Круковер А.А. Стратиграфия неоген-четвертичных отложений Чулымо-Енисейской впадины по палеомагнитным и биостратиграфическим данным / Колыхалов Ю. М., Нечаева Е.К., Величко Н.Н. Экскурс геомагнитного поля Каргаполово (Лашамр) ~ 40 тыс. лет назад по отложениям в районе средней Оби (разрез Чагин Яр) / Куликова Л. С. Межрегиональная литологическая корреляция морен / Сухорукова С.С., Судакова Н.Г., Немцова Г.М., Астапова С.Д, Фаустова М.Н. Поэднеплейстоценовая обстановка осадконакопления в центре Западной Сибири / Астахов В.И. Краткая литологическая характеристика кайнозойских отложений археологического памятника Диринг-Юрях ( tредняя Лена) / Камалетдинов В.А., Зигерт Х. Палеоклиматические реконструкции на территории СССР в главные термические максимумы голоцена (по палинологическим данным) / Климанов В.А. Изменения рас,ительного покрова и климата Колымской низменности в поэднечетвертичное время / Рыбакова Н.О. К истории растительности севера Сибирской платформы в плейстоцене и голоцене / Кулагина Н.В. Геоморфологические корреляции поэднеплейстоценовых и голоценовых террас центральной части Онежского залива / Матошко А.В., Ломакин И.Э. , Омельчук А.В., Паланский М. Г., Сорокин А.Л., Ванюхин Б.И. Микропалеонтологическая характеристика средне-верхнеплейстоценовых отложений п-ова Челюскин / Левчук Л.К., Седов В.Н., Шнейдер Г.В. Опыт комплексного биостратиграфического анализа (фораминиферового и спорово-пыльцевого) донных отложений Баренцева моря / Иванова Л.В., Лебедева Р.М. Стратиграфия позднеnлейстоценово-голоuеновых осадков Берингийского шельфа по комплексам диатомей / Полякова Е.И. , In kyrillischer Schrift

Note: Contents: Foreword. - Preface. - Acknowledgements. - List of symbols and definitions. - 1. Introduction. - 2. Nature of the problem. - 3. Basic equations for the atmosphere and oceans. - 4. Various decompositions of the circulation. - 5. The data. - 6. Radiation balance. - 7. Observed mean state of the atmosphere. - 8. Observed mean state of the oceans. - 9. Observed mean state of the cryosphere. - 10. Exchange processes between the earth's surface and the atmosphere. - 11. Angular momentum cycle. - 12. Water Cycle. - 13. Energetics. - 14. The ocean-atmosphere heat engine. - 15. Entropy in the climate system. - 16 Interannual and interdecadal variability in the climate system. - 17. Mathematical simulation of climate. - Appendix A: Analysis in terms of Fourier components. - Appendix B: Analysis in terms of empirical orthogonal functions (EOF's). - References. - Name index. - Subject index.

Note: Contents Page Chapter 1 Introduction About This Book Geostatistics Measurement Systems A False Feeling of Security Selected Readings Chapter 2 Elementary Statistics Probability Statistics Joint Variation of Two Variables Induced Correlations Testing Normal Populations Central Limits Theorem Significance The f Test Degrees of Freedom Test of Correlation The F Test Analysis of Variance Two-Way Analysis of Variance The x2 Test The Lognormal Distribution and Other Transformations Other Transformations Nonparametric Methods Mann-Whitney Test Kruskal-Wallis Test Nonparametric Correlation Kolmogorov-Smirnov Tests Selected Readings Chapter 3 Matrix Algebra The Matrix Elementary Matrix Operations Matrix Multiplication Convolution Matrix Inversion and Simultaneous Equations Transposition Determinants Eigenvalues and Eigenvectors Selected Readings Chapter 4 Analysis of Sequences of Data Geologic Measurements in Sequences Interpolation Procedures Markov Chains Embedded Markov Chains Series of Events Runs Tests Least-Squares Methods and Regression Analysis Curvilinear Regression Orthogonal Polynomial Regression Reduced Major Axis Splines Segmenting Sequences Zonation Seriation Autocorrelation Cross-Correlation Cross-Correlation and Geologic Correlation Cross-Association Semivariograms Modelling the Semivariogram Spectral Analysis Harmonic Analysis The Continuous Spectrum Filters Smoothing and Time-Trend Analysis Derivatives Substitutability Analysis Selected Readings Chapter 5 Map Analysis Geologic Maps - Conventional and Otherwise Systematic Patterns of Search Distribution of Points Uniform Patterns Random Patterns Clustered Patterns Nearest-Neighbor Analysis Distribution of Lines Analysis of Directional Data Testing Hypotheses about Circular Directional Data Test for Randomness Testing for a Specified Trend Test of Goodness-of-Fit 326 Testing the Equality of Two Sets of Directional Vectors Spherical Distributions Matrix Representation of Vectors Displaying Spherical Data Testing Hypotheses about Spherical Directional Data A Test of Randomness Shape Fourier Measurements of Shape Computer Contouring Contouring by Triangulation Contouring by Gridding Moving Averages Moving Weighted Averages of Block Means Kriging Punctual Kriging Universal Kriging Calculating the Drift An Example Trend Surfaces Statistical Tests of Trends Two Trend-Surface Models Pitfalls Four-Dimensional Trend Surfaces Double Fourier Series Comparing Maps Overall Similarity Similarity Maps Comparing Map Coefficients Selected Readings Contents Chapter 6 Analysis of Multivariate Data Multiple Regression Discriminant Functions Tests of Significance Multivariate Extensions of Elementary Statistics Equality of Two Vector Means Equality of Variance-Covariance Matrices Cluster Analysis Introduction to Eigenvector Methods, Including Factor Analysis Eckart-Young Theorem Principal Components Analysis R-Mode Factor Analysis Factor Rotation Maximum Likelihood Factors O-Mode Factor Analysis Principal Coordinates Analysis Correspondence Analysis Application to Continuous Variables Simultaneous R- and O-Mode Factor Analysis Multigroup Discriminant Functions Canonical Correlation Selected Readings Appendix: How to Run the STAT Program Index