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  • 2010-2014  (16)
  • 1
    Monograph available for loan
    Monograph available for loan
    New York, NY : Cambridge Univ. Press
    Call number: AWI A11-15-89031
    Description / Table of Contents: Thermodynamics, Kinetics and Microphysics of Clouds presents a unified theoretical foundation that provides the basis for incorporating cloud microphysical processes in cloud and climate models. In particular, the book provides: • a theoretical basis for understanding the processes of cloud particle formation, evolution and precipitation, with emphasis on spectral cloud microphysics based on numerical and analytical solutions of the kinetic equations for the drop and crystal size spectra along with the supersaturation equation; • the latest detailed theories and parameterizations of drop and crystal nucleation suitable for cloud and climate models derived from the general principles of thermodynamics and kinetics; • a platform for advanced parameterization of clouds in weather prediction and climate models; • the scientific foundation for weather and climate modification by cloud seeding. This book will be invaluable for researchers and advanced students engaged in cloud and aerosol physics, and air pollution and climate research.
    Type of Medium: Monograph available for loan
    Pages: XVIII, 782 S. : graph. Darst., Kt.
    ISBN: 978-1-107-01603-3
    Language: English
    Note: Contents: Preface. - 1. Introduction. - 1.1. Relations among Thermodynamics, Kinetics, and Cloud Microphysics. - 1.2. The Correspondence Principle. - 1.3. Structure of the Book. - 2. Clouds and Their Properties. - 2.1. Cloud Classification. - 2.2. Cloud Regimes and Global Cloud Distribution. - 2.2.1. Large-Scale Condensation in Fronts and Cyclones. - 2.2.2. Sc-St Clouds and Types of Cloud-Topped Boundary Layer. - 2.2.3. Convective Cloudiness in the Intertropical Convergence Zone. - 2.2.4. Orographic Cloudiness. - 2.3. Cloud Microphysical Properties. - 2.4. Size Spectra and Moments. - 2.4.1. Inverse Power Laws. - 2.4.2. Lognormal Distributions. - 2.4.3. Algebraic Distributions. - 2.4.4. Gamma Distributions. - 2.5. Cloud Optical Properties. - Appendix A.2. Evaluation of the Integrals with Lognormal Distribution. - 3. Thermodynamic Relations. - 3.1. Thermodynamic Potentials. - 3.2. Statistical Energy Distributions. - 3.2.1. The Gibbs Distribution. - 3.2.2. The Maxwell Distribution. - 3.2.3. The Boltzmann Distribution. - 3.2.4. Bose–Einstein Statistics. - 3.2.5. Fermi–Dirac Statistics. - 3.3. Phase Rules. - 3.3.1. Bulk Phases. - 3.3.2. Systems with Curved Interfaces. - 3.4. Free Energy and Equations of State. - 3.4.1. An Ideal Gas. - 3.4.2. Free Energy and the van der Waals Equation of State for a Non-Ideal Gas. - 3.5. Thermodynamics of Solutions. - 3.6. General Phase Equilibrium Equation for Solutions. - 3.6.1. General Equilibrium Equation. - 3.6.2. The Gibbs–Duhem Relation. - 3.7. The Clausius–Clapeyron Equation. - 3.7.1. Equilibrium between Liquid and Ice Bulk Phases. - 3.7.2. Equilibrium of a Pure Water Drop with Saturated Vapor. - 3.7.3. Equilibrium of an Ice Crystal with Saturated Vapor. - 3.7.4. Humidity Variables. - 3.8. Phase Equilibrium for a Curved Interface - The Kelvin Equation. - 3.9. Solution Effects and the Köhler Equation. - 3.10. Thermodynamic Properties of Gas Mixtures and Solutions. - 3.10.1. Partial Gas Pressures in a Mixture of Gases. - 3.10.2. Equilibrium of Two Bulk Phases around a Phase Transition Point. - 3.10.3. Raoult’s Law for Solutions. - 3.10.4. Freezing Point Depression and Boiling Point Elevation. - 3.10.5. Relation of Water Activity and Freezing Point Depression. - 3.11. A diabatic Processes. - 3.11.1. Dry Adiabatic Processes. - 3.11.2. Wet Adiabatic Processes. - Appendix A.3. Calculation of Integrals with the Maxwell Distribution. - 4. Properties of Water and Aqueous Solutions. - 4.1. Properties of Water at Low Temperatures and High Pressures. - 4.1.1. Forms of Water at Low Temperatures. - 4.1.2. Forms of Water at High Pressures. - 4.2. Theories of Water. - 4.3. Temperature Ranges in Clouds and Equivalence of Pressure and Solution Effects. - 4.4. Parameterizations of Water and Ice Thermodynamic Properties. - 4.4.1. Saturated Vapor Pressures. - 4.4.2. Heat Capacity of Water and Ice. - 4.4.3. Latent Heats of Phase Transitions. - 4.4.4. Surface Tension between Water and Air or Vapor. - 4.4.5. Surface Tension between Ice and Water or Solutions. - 4.4.6. Surface Tension between Ice and Air or Vapor. - 4.4.7 Density of Water. - 4.4.8. Density of Ice. - 4.5. Heat Capacity and Einstein-Debye Thermodynamic Equations of State for Ice. - 4.6. Equations of State for Ice in Terms of Gibbs Free Energy. - 4.7. Generalized Equations of State for Fluid Water. - 4.7.1. Equations of the van der Waals Type and in Terms of Helmholtz Free Energy. - 4.7.2. Equations of State Based on the Concept of the Second Critical Point. - Appendix A.4. Relations among Various Pressure Units. - 5. Diffusion and Coagulation Growth of Drops and Crystals. - 5.1. Diffusional Growth of Individual Drops. - 5.1.1. Diffusional Growth Regime. - 5.1.2. The Kinetic Regime and Kinetic Corrections to the Growth Rate. - 5.1.3. Psychrometric Correction Due to Latent Heat Release. - 5.1.4. Radius Growth Rate. - 5.1.5. Ventilation Corrections. - 5.2. Diffusional Growth of Crystals. - 5.2.1. Mass Growth Rates. - 5.2.2. Axial Growth Rates. - 5.2.3. Ventilation Corrections. - 5.3. Equations for Water and Ice Supersaturations. - 5.3.1. General Form of Equations for Fractional Water Supersaturation. - 5.3.2. Supersaturation Relaxation Times and Their Limits. - 5.3.3. E quation for Water Supersaturation in Terms of Relaxation Times. - 5.3.4. Equivalence of Various Forms of Supersaturation Equations. - 5.3.5. Equation for Fractional Ice Supersaturation. - 5.3.6. Equilibrium Supersaturations over Water and Ice. - Liquid Clouds. - Ice Clouds. - Mixed Phase Clouds. - 5.3.7. A diabatic Lapse Rates with Non zero Supersaturations. - 5.4. The Wegener–Bergeron–Findeisen Process and Cloud Crystallization. - 5.5. Kinetic Equations of Condensation and Deposition in the Adiabatic Process. - 5.5.1. Derivation of the Kinetic Equations. - 5.5.2. Some Properties of Regular Condensation. - 5.5.3. Analytical Solution of the Kinetic Equations of Regular Condensation. - 5.5.4. Equation for the Integral Supersaturation. - 5.6. Kinetic Equations of Coagulation. - 5.6.1. Various Forms of the Coagulation Equation. - 5.6.2. Collection Kernels for Various Coagulation Processes. - Brownian Coagulation. - Gravitational Coagulation. - 5.7. Thermodynamic and Kinetic Equations for Multidimensional Models. - 5.8. Fast Algorithms for Microphysics Modules in Multidimensional Models. - 6. Wet Aerosol Processes. - 6.1. Introduction. - 6.1.1. Empirical Parameterizations of Hygroscopic Growth. - 6.1.2. Empirical Parameterizations of Droplet Activation. - 6.2. Equilibrium Radii. - 6.2.1. Equilibrium Radii at Subsaturation. - 6.2.2. Equilibrium Radii of Interstitial Aerosol in a Cloud. - 6.3. Critical Radius and Supersaturation. - 6.4. Aerosol Size Spectra. - 6.4.1. Lognormal and Inverse Power Law Size Spectra. - 6.4.2. Approximation of the Lognormal Size Spectra by the Inverse Power Law. - 6.4.3. Examples of the Lognormal Size Spectra, Inverse Power Law, and Power Indices. - 6.4.4. Algebraic Approximation of the Lognormal Distribution. - 6.5. Transformation of the Size Spectra of Wet Aerosol at Varying Humidity. - 6.5.1. Arbitrary Initial Spectrum of Dry Aerosol. - 6.5.2. Lognormal Initial Spectrum of Dry Aerosol. - 6.5.3. Inverse Power Law Spectrum. - 6.5.4. Algebraic Size Spectra. - 6.6. CCN Differential Supersaturation Activity Spectrum. - 6.6.1. A rbitrary Dry Aerosol Size Spectrum. - 6.6.2. Lognormal Activity Spectrum. - 6.6.3. Algebraic Activity Spectrum. - 6.7. Droplet Concentration and the Modified Power Law for Drops Activation. - 6.7.1. Lognormal and Algebraic CCN Spectra. - 6.7.2. Modified Power Law for the Drop Concentration. - 6.7.3. Supersaturation Dependence of Power Law Parameters. - Appendix A.6. Solutions of Cubic Equations for Equilibrium and Critical Radii. - 7. Activation of Cloud Condensation Nuclei into Cloud Drops. - 7.1. Introduction. - 7.2. Integral Supersaturation in Liquid Clouds with Drop Activation. - 7.3. Analytical Solutions to the Supersaturation Equation. - 7.4. Analytical Solutions for the Activation Time, Maximum Supersaturation, and Drop Concentration. - 7.5. Calculations of CCN Activation Kinetics. - 7.6. Four Analytical Limits of Solution. - 7.7. Limit #1: Small Vertical Velocity, Diffusional Growth Regime. - 7.7.1. Lower Bound. - 7.7.2. Upper Bound. - 7.7.3. Comparison with Twomey’s Power Law. - 7.8. Limit #2: Small Vertical Velocity, Kinetic Growth Regime. - 7.8.1. Lower Bound. - 7.8.2. Upper Bound. - 7.9. Limit #3: Large Vertical Velocity, Diffusional Growth Regime. - 7.9.1. Lower Bound. - 7.9.2. Upper Bound. - 7.10. Limit #4: Large Vertical Velocity, Kinetic Growth Regime. - 7.10.1. Lower Bound. - 7.10.2. Upper Bound. - 7.11. Interpolation Equations and Comparison with Exact Solutions. - Appendix A.7. Evaluation of the Integrals J2 and J3 for Four Limiting Cases. - 8. Homogeneous Nucleation. - 8.1. Metastable States and Nucleation of a New Phase. - 8.2. Nucleation Rates for Condensation and Deposition. - 8.2.1. Application of Boltzmann Statistics. - 8.2.2. The Fokker–Planck
    Location: AWI Reading room
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  • 2
    Publication Date: 2011-01-28
    Print ISSN: 0143-1161
    Electronic ISSN: 1366-5901
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Taylor & Francis
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  • 3
    Publication Date: 2011-03-15
    Description: Tropical Pacific Ocean warming has been separated into two modes based on the spatial distribution of the maximum sea surface temperature (SST) anomaly: an east Pacific warming (EPW) and a central Pacific warming (CPW). When combined with east Pacific cooling (EPC), these three regimes are shown to have different impacts on tropical cyclone (TC) activity over the North Pacific by differential modulation of both local thermodynamic factors and large-scale circulation patterns. In EPW years, the genesis and the track density of TCs tend to be enhanced over the southeastern part and suppressed in the northwestern part of the western Pacific by strong westerly wind shear. The extension of the monsoon trough and the weak wind shear over the central Pacific increases the likelihood of TC activity to the east of the climatological mean TC genesis location. In CPW years, the TC activity is shifted to the west and is extended through the northwestern part of the western Pacific. The westward shifting of CPW-induced heating moves the anomalous westerly wind and monsoon trough through the northwestern part of the western Pacific and provides a more favorable condition for TC landfall. The CPW, on the other hand, produces a large suppression of TC activity in the eastern Pacific basin. In EPC years, all of the variables investigated show almost a mirror image of the EPW.
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
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  • 4
    Publication Date: 2013-05-27
    Print ISSN: 2169-897X
    Electronic ISSN: 2169-8996
    Topics: Geosciences , Physics
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  • 5
    Publication Date: 2012-07-06
    Print ISSN: 0148-0227
    Electronic ISSN: 2156-2202
    Topics: Geosciences
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  • 6
    Publication Date: 2012-06-01
    Description: This analysis examines the predictability of several key forecasting parameters using the ECMWF Variable Ensemble Prediction System (VarEPS) for tropical cyclones (TCs) in the North Indian Ocean (NIO) including tropical cyclone genesis, pregenesis and postgenesis track and intensity projections, and regional outlooks of tropical cyclone activity for the Arabian Sea and the Bay of Bengal. Based on the evaluation period from 2007 to 2010, the VarEPS TC genesis forecasts demonstrate low false-alarm rates and moderate to high probabilities of detection for lead times of 1–7 days. In addition, VarEPS pregenesis track forecasts on average perform better than VarEPS postgenesis forecasts through 120 h and feature a total track error growth of 41 n mi day−1. VarEPS provides superior postgenesis track forecasts for lead times greater than 12 h compared to other models, including the Met Office global model (UKMET), the Navy Operational Global Atmospheric Prediction System (NOGAPS), and the Global Forecasting System (GFS), and slightly lower track errors than the Joint Typhoon Warning Center. This paper concludes with a discussion of how VarEPS can provide much of this extended predictability within a probabilistic framework for the region.
    Print ISSN: 0882-8156
    Electronic ISSN: 1520-0434
    Topics: Geography , Physics
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  • 7
    Publication Date: 2010-12-01
    Description: Recent work suggests that there may exist skill in forecasting tropical cyclones (TC) using dynamically based ensemble products, such as those obtained from the ECMWF Monthly Forecast System (ECMFS). The ECMFS features an ensemble of 51 coupled ocean–atmosphere simulations integrated to 32 days once per week. Predicted levels of TC activity in the North Atlantic Ocean with these monthly ensemble forecasts is compared with the observed variability during the months of June–October during 2008 and 2009. Results indicate that the forecast system can capture large-scale regions that have a higher or lower risk of TC activity and that it has skill above climatology for the Gulf of Mexico and the “Main Development Region” on intraseasonal time scales. Regional forecast skill is traced to the model’s ability to capture the large-scale evolution of deep-layer vertical shear, the frequency of easterly waves, and the variance in 850-hPa relative vorticity. The predictability of TC activity, along with the forecast utility of the ECMFS, is shown to be sensitive to the phase and intensity of the Madden–Julian oscillation at the time of model initialization.
    Print ISSN: 0027-0644
    Electronic ISSN: 1520-0493
    Topics: Geography , Geosciences , Physics
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  • 8
    Publication Date: 2011-09-01
    Print ISSN: 0027-0644
    Electronic ISSN: 1520-0493
    Topics: Geography , Geosciences , Physics
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  • 9
    Publication Date: 2014-10-10
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
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  • 10
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