{"id":78884,"date":"2024-10-17T18:26:46","date_gmt":"2024-10-17T18:26:46","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/asce-9780784404591-2000\/"},"modified":"2024-10-24T19:38:26","modified_gmt":"2024-10-24T19:38:26","slug":"asce-9780784404591-2000","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/asce\/asce-9780784404591-2000\/","title":{"rendered":"ASCE 9780784404591 2000"},"content":{"rendered":"
Thomas Croley simplifies atmospheric predictions so that scientists and engineers can learn to predict weather-dependent phenomena and assess the risks associated with decisions in the construction and operation phases of water resources planning.<\/p>\n
PDF Pages<\/th>\n | PDF Title<\/th>\n<\/tr>\n | ||||||
---|---|---|---|---|---|---|---|
4<\/td>\n | Table of Contents <\/td>\n<\/tr>\n | ||||||
6<\/td>\n | Acknowledgments <\/td>\n<\/tr>\n | ||||||
8<\/td>\n | Preface <\/td>\n<\/tr>\n | ||||||
10<\/td>\n | PART I. PRACTICAL USAGE <\/td>\n<\/tr>\n | ||||||
12<\/td>\n | Chapter 1. Introduction Background <\/td>\n<\/tr>\n | ||||||
14<\/td>\n | Structure of Book <\/td>\n<\/tr>\n | ||||||
16<\/td>\n | Chapter 2. Probability and Estimation A Probability Measure Outcomes and Events <\/td>\n<\/tr>\n | ||||||
18<\/td>\n | Random Variables and Distributions <\/td>\n<\/tr>\n | ||||||
19<\/td>\n | Distribution Characteristics <\/td>\n<\/tr>\n | ||||||
20<\/td>\n | Estimation <\/td>\n<\/tr>\n | ||||||
22<\/td>\n | Quantile Estimation <\/td>\n<\/tr>\n | ||||||
24<\/td>\n | Chapter 3. Outlook Definitions Deterministic Outlooks <\/td>\n<\/tr>\n | ||||||
26<\/td>\n | Probabilistic Outlooks <\/td>\n<\/tr>\n | ||||||
30<\/td>\n | Chapter 4. Probabilistic Meteorology Outlook Examples National Oceanic and Atmospheric Administration (NOAA) Climate Outlooks <\/td>\n<\/tr>\n | ||||||
36<\/td>\n | NOAA 8\u201314 Day Event Probability Outlooks <\/td>\n<\/tr>\n | ||||||
38<\/td>\n | NOAA Ensemble Event Probability Forecast Products <\/td>\n<\/tr>\n | ||||||
40<\/td>\n | NOAA 1-Day Precipitation Event Probability Anomaly Outlooks <\/td>\n<\/tr>\n | ||||||
41<\/td>\n | El Ni\u00f1o- and La Ni\u00f1a-Based Event Probability Outlooks <\/td>\n<\/tr>\n | ||||||
44<\/td>\n | NOAA 6\u201310 Day Most-Probable Event Outlooks <\/td>\n<\/tr>\n | ||||||
46<\/td>\n | Environment Canada (EC) Monthly Most-probable Event Outlook <\/td>\n<\/tr>\n | ||||||
47<\/td>\n | EC Seasonal Most-probable Event Outlook <\/td>\n<\/tr>\n | ||||||
48<\/td>\n | EC Extended Seasonal Most-Probable Event Outlooks <\/td>\n<\/tr>\n | ||||||
49<\/td>\n | Other Most-Probable Event Outlooks <\/td>\n<\/tr>\n | ||||||
52<\/td>\n | Chapter 5. Derivative Outlooks Derivative Deterministic Outlooks <\/td>\n<\/tr>\n | ||||||
55<\/td>\n | Derivative Probabilistic Outlooks <\/td>\n<\/tr>\n | ||||||
66<\/td>\n | Step-By-Step Instructions <\/td>\n<\/tr>\n | ||||||
68<\/td>\n | PART II. EXTENSIONS AND EXAMPLES <\/td>\n<\/tr>\n | ||||||
70<\/td>\n | Chapter 6. Multiple Meteorology Event Probabilities Considering Multiple Outlooks <\/td>\n<\/tr>\n | ||||||
72<\/td>\n | An Example Multiple Outlook Equation Set <\/td>\n<\/tr>\n | ||||||
75<\/td>\n | Solving the Set Equations <\/td>\n<\/tr>\n | ||||||
76<\/td>\n | Using the Weights <\/td>\n<\/tr>\n | ||||||
79<\/td>\n | Bayesian Forecasting <\/td>\n<\/tr>\n | ||||||
80<\/td>\n | Incompatible Outlook Periods <\/td>\n<\/tr>\n | ||||||
81<\/td>\n | Operational Hydrology Variations <\/td>\n<\/tr>\n | ||||||
82<\/td>\n | Sampling and Modeling Independence <\/td>\n<\/tr>\n | ||||||
84<\/td>\n | Chapter 7. Alternative Solutions Redundancy and Infeasibility <\/td>\n<\/tr>\n | ||||||
86<\/td>\n | Optimum Solution <\/td>\n<\/tr>\n | ||||||
91<\/td>\n | Using the Weights <\/td>\n<\/tr>\n | ||||||
109<\/td>\n | Ordering Priorities <\/td>\n<\/tr>\n | ||||||
110<\/td>\n | Additional Methodology Considerations <\/td>\n<\/tr>\n | ||||||
112<\/td>\n | Chapter 8. Mixing Most-Probable Meteorology Outlooks Matching Most-Probable Events <\/td>\n<\/tr>\n | ||||||
114<\/td>\n | Mixing Probabilistic Meteorology Outlooks <\/td>\n<\/tr>\n | ||||||
119<\/td>\n | Mixed Multiple Outlooks Example <\/td>\n<\/tr>\n | ||||||
122<\/td>\n | Eliminating Difficult Equations <\/td>\n<\/tr>\n | ||||||
125<\/td>\n | Extensions <\/td>\n<\/tr>\n | ||||||
128<\/td>\n | Chapter 9. Simultaneous Spatial Outlooks Derivative-Forecast Methodology <\/td>\n<\/tr>\n | ||||||
132<\/td>\n | Simultaneous Spatial Outlooks <\/td>\n<\/tr>\n | ||||||
142<\/td>\n | Chapter 10. Improved Derivative Outlooks Objective Reformulation <\/td>\n<\/tr>\n | ||||||
144<\/td>\n | Alternative Optimization <\/td>\n<\/tr>\n | ||||||
145<\/td>\n | Linear Programming <\/td>\n<\/tr>\n | ||||||
148<\/td>\n | Example <\/td>\n<\/tr>\n | ||||||
153<\/td>\n | Multiple Solutions <\/td>\n<\/tr>\n | ||||||
156<\/td>\n | Chapter 11. Evaluations An Example Deterministic Evaluation <\/td>\n<\/tr>\n | ||||||
159<\/td>\n | An Example Probabilistic Evaluation <\/td>\n<\/tr>\n | ||||||
162<\/td>\n | Appendix 1. Notation <\/td>\n<\/tr>\n | ||||||
168<\/td>\n | Appendix 2. Software Documentation Purpose Conventions <\/td>\n<\/tr>\n | ||||||
169<\/td>\n | Acquisition Installation <\/td>\n<\/tr>\n | ||||||
170<\/td>\n | Usage <\/td>\n<\/tr>\n | ||||||
186<\/td>\n | Notes <\/td>\n<\/tr>\n | ||||||
187<\/td>\n | Files <\/td>\n<\/tr>\n | ||||||
188<\/td>\n | Additional Exercises <\/td>\n<\/tr>\n | ||||||
202<\/td>\n | Appendix 3. Min Σ(w[sub(i)] \u2013 1)[sup(2)] Sufficient Condition Sufficiency for Equations (7-7) <\/td>\n<\/tr>\n | ||||||
204<\/td>\n | Sufficiency for Equations (8-17) <\/td>\n<\/tr>\n | ||||||
206<\/td>\n | References <\/td>\n<\/tr>\n | ||||||
208<\/td>\n | Index A B C <\/td>\n<\/tr>\n | ||||||
209<\/td>\n | D E <\/td>\n<\/tr>\n | ||||||
210<\/td>\n | F G H <\/td>\n<\/tr>\n | ||||||
211<\/td>\n | I L M <\/td>\n<\/tr>\n | ||||||
212<\/td>\n | N O P <\/td>\n<\/tr>\n | ||||||
213<\/td>\n | Q R S <\/td>\n<\/tr>\n | ||||||
214<\/td>\n | T <\/td>\n<\/tr>\n | ||||||
215<\/td>\n | U V W <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":" Using Meteorology Probability Forecasts in Operational Hydrology<\/b><\/p>\n |