Preface |
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ix | |
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Shape and Microdynamics of Ice Particles and Their Effects in Cirrus Clouds |
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1 | (302) |
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Ice Particles in the Atmosphere |
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1 | (6) |
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Ice Particles-A Personal Perspective |
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1 | (2) |
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Some Historical Notes on the Knowledge of Ice Particles in Ancient China |
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3 | (3) |
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A Brief Summary of the Following Sections |
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6 | (1) |
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Mathematical Descriptions of Ice Particle Size and Shape |
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7 | (36) |
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Size Distribution versus Size-Shape Distributions |
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7 | (2) |
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Mathematical Expression Describing the Two-Dimensional Shapes of Hexagonal Ice Crystals |
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9 | (2) |
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Approximating an Exact Hexagonal Plate |
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11 | (2) |
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Two-Dimensional Characterization of an Ensemble of Planar Hexagonal Ice Crystals |
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13 | (5) |
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Mathematical Expressions Describing the Three-Dimensional Shapes of Ice Crystals |
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18 | (12) |
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Mathematical Expressions Describing Conical Hydrometeors |
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30 | (13) |
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Hydrodynamics of Ice Particles |
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43 | (66) |
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Fall Attitude of Ice Particles |
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43 | (1) |
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Review of Previous Studies |
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44 | (1) |
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The Physics and Mathematics of Unsteady Flow Fields around Nonspherical Ice Particles |
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45 | (4) |
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49 | (4) |
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53 | (56) |
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Vapor Diffusion, Ventilation, and Collisional Efficiencies of Ice Crystals |
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109 | (43) |
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109 | (1) |
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Vapor Diffusion Fields around a Stationary Columnar Ice Crystal |
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110 | (14) |
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Ventilation Coefficients for Falling Ice Crystals |
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124 | (13) |
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Collision Efficiencies of Ice Crystals Collecting Supercooled Droplets |
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137 | (15) |
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Scavenging and Transportation of Aerosol Particles by Ice Crystals in Clouds |
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152 | (45) |
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Importance of Aerosol Particles in the Atmosphere |
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152 | (1) |
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Physical Mechanisms of Precipitation Scavenging |
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153 | (2) |
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The Theoretical Problem of Ice Scavenging of Aerosol Particles |
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155 | (1) |
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Physics and Mathematics of the Models |
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156 | (8) |
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Efficiencies of Ice Plates Collecting Aerosol Particles |
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164 | (8) |
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Efficiencies of Columnar Ice Crystals Collecting Aerosol Particles |
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172 | (6) |
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Comparison of Collection Efficiency of Aerosol Particles by Individual Water Droplets, Ice Plates, and Ice Columns |
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178 | (10) |
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Experimental Verification of Collection Efficiencies |
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188 | (9) |
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Evolution of Ice Crystals in the Development of Cirrus Clouds |
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197 | (62) |
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Cirrus Clouds, Radiation, and Climate |
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197 | (2) |
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199 | (12) |
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Design of the Present Simulation Study |
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211 | (7) |
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218 | (1) |
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219 | (27) |
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Appendix A. Area of an Axial Cross Section |
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246 | (2) |
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Appendix B. Calculation of Volume |
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248 | (1) |
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Appendix C. Closed-Form Expression of the Conical Volume |
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249 | (3) |
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252 | (7) |
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Mapping Spatial Variability of the Frequency-Magnitude Distribution of Earthquakes |
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259 | (2) |
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261 | (8) |
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Estimating the Magnitude of Completeness |
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261 | (3) |
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Tradeoff between Spatial Resolution and Significance |
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264 | (1) |
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Maximizing the Number of Events |
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265 | (1) |
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Mapping Minimum Magnitude of Completeness |
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265 | (1) |
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Homogeneity of Reporting with Time |
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266 | (1) |
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Contamination by Explosions |
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267 | (1) |
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267 | (2) |
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269 | (2) |
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269 | (1) |
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Computing the b-Value and Its Uncertainty |
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269 | (2) |
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Case Studies of Mapping the b-Value in Various Tectonic Regimes |
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271 | (13) |
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Volcanoes and Geothermal Fields |
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271 | (2) |
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273 | (6) |
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Mapping Temporal Changes of Earthquake Probability |
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279 | (1) |
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Changes of b with Depth in California |
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280 | (1) |
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Mapping b in Subducting Slabs |
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281 | (1) |
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Variations of b in Aftershock Sequences |
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281 | (1) |
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Implications for Aftershock Hazard |
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282 | (1) |
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Spatial Variations of b on Regional to Global Scales |
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283 | (1) |
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Changes of b-Values as a Function of Time |
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284 | (2) |
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Precursory Changes of b-Values before Main Shocks |
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285 | (1) |
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Fractal Dimension and b-Value |
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286 | (1) |
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The Physical Processes Perturbing b-Values |
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287 | (1) |
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Common Problems and Complications |
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288 | (3) |
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Catalog Heterogeneity as a Function of Time |
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288 | (1) |
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The Lack of a Unique Physical Interpretation of Anomalies |
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288 | (1) |
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Selective Hypocenter Location Errors as a Function of Magnitude |
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289 | (1) |
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Magnitude Scales Can Differ |
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289 | (1) |
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The Methods Can Only Be Applied to Seismically Active Volumes |
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289 | (1) |
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Bimodel Distributions of Magnitudes |
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290 | (1) |
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New Hypotheses and Preliminary Conclusions |
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291 | (2) |
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Hypothesis I: Active Magma Chambers in Seismogenic Crust May Be Mapped by an Excess of Small Earthquakes, Which Can Be Measured by Anomalously Large b-Values |
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291 | (1) |
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Hypothesis II: Asperities May Be Mapped by Maxima in Local Earthquake Probability (Minima in Local Recurrence Time) |
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291 | (1) |
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Hypothesis III: The Permanent Changes in the Probability for Earthquakes Caused by Major and Large Shocks in Their Vicinity Can Be Estimated from the Changes in Local Recurrence Time, Calculated from Changes in a- and b-Values |
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292 | (1) |
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Hypothesis IV: Phase Transitions, and Thus the Deep Source of Magma for Subduction Volcanism, May Be Mapped by Anomalously High b-Values |
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293 | (1) |
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Hypothesis V: The b-Values in Aftershock Sequences Are Heterogeneous, Suggesting That the Probability of a Major Aftershock Varies in Space |
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293 | (1) |
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293 | (10) |
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Appendix A. Frequently Asked Questions |
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294 | (1) |
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Should One Use Samples with Constant Numbers Rather Than with Constant Radius? |
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294 | (1) |
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Why Do We Map b-Values and Not Mean Magnitude? |
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295 | (1) |
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Should the Catalog Be Declustered? |
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295 | (1) |
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What Is the Influence of Location Errors? |
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296 | (1) |
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What Software Do You Use? |
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296 | (1) |
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296 | (1) |
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296 | (7) |
Index |
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303 | |