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  • 1
    Monograph available for loan
    Monograph available for loan
    Mill Valley, Cal. : Univ. Science Books
    Call number: AWI A13-92-0295
    Description / Table of Contents: Contents: Preface. - 1 Introduction and Historical Development. - 2 Physical Description of the Climate System. - Atmosphere . - Atmospheric composition. - Temperature profiles. - Energy balances. - Average surface temperature patterns. - Large-scale hemispheric circulation patterns: three-cell structure. - Land/sea breezes and monsoons. - Oceans. - Seawater composition. - Ocean temperatures. - Ocean circulation. - Sea Ice. - Global sea ice distributions. - Sea ice formation and growth. - Sea ice ablation. - Sea ice composition and properties. - Sea ice topography. - Sea ice concentration and velocity. - Atrnosphere/Ocean/Ice Interconnections. - Impacts of the atmosphere. - Impacts of the ocean. - An example of atmosphere/ocean interconnections: the El Niño/Southern Oscillation. - Impacts of the ice. - 3 Basic Model Equations. - Fundamental Equations. - Conservation of momentum. - Conservation of mass. - First law of thermodynamics. - Equation of state. - Summary of Basic Predictive Equations for the Atmosphere. - Vertical Coordinate Systems. - Atmospheric and Ocean Dynamics. - Vorticity and divergence equations. - Rossby wave equation. - Baroclinic models. - Early General Circulation Model of the Atmosphere. - Radiative and Cloud Processes. - Radiation: basic principles. - Radiation: physical laws. - Solar radiation. - Net heating/cooling rates. - Clouds. - Precipitation and cloud processes. - Convective adjustment parameterization. - More refined schemes for cumulus convection. - Surface Processes. - Boundary fluxes at the earth's surface. - Computation of surface temperature and hydrology. - Ocean Models. - Quasi-geostrophic Ocean Circulation Model. - Sea Ice Models. - Ice thermodynamics. - Ice dynamics. - 4 Basic Methods of Solving Model Equations. - Finite Differences. - Finite Differencing in Two Dimensions. - Spectral Method. - More general considerations of Fourier series and integrals. - Spherical Representation. - Spectral Transform Technique. - Vertical Representation. - 5 Examples of Simulations of Present-Day Climate. - Simulations of the Atmosphere. - Zonal mean temperature. - Zonal mean wind. - Meridional mean wind. - Zonal mean vertical velocity. - Geographical distribution of surface air temperature. - Geographical distribution of sea level pressure. - Geographical distribution of the 300 mb zonal component of the wind. - Geographical distribution of precipitation. - Intermodel comparisons. - Simulations of the Ocean. - Ocean circulation. - Ocean heat transport. - Surface heights and temperatures. - Quasi-geostrophic results. - Simulations of Sea Ice. - Sea ice thickness and vertical temperature profiles. - Geographical distribution of sea ice thickness and concentration. - Geographical distribution of sea ice velocities. - Weddell polynya. - Impact of ice dynamics on sea ice simulations. - Sea ice modeling successes and failures. - Coupled Atmosphere, Ocean, Sea Ice Simulations. - Modeling Groups. - 6 Climate Sensitivity Experiments. - Paleoclimate Simulations. - Simulations of El Niño/Southern Oscillation. - Climatic Effects of Carbon Dioxide. - Possible Climatic Effects Due to Nuclear War. - Overview of Climate Sensitivity Studies. - 7 Outlook for Future Developments. - APPENDIX A Vector Calculus. - APPENDIX B Legendre Polynomials and Gaussian Quadrature. - APPENDIX C Derivation of Energy Equations. - APPENDIX D Finite Difference Barotropic Forecast Model. - APPENDIX E Spectral Transform Technique. - APPENDIX F Finite Difference Shallow Water Wave Equation Model. - APPENDIX G Atmospheric General Circulation Model Equations. - APPENDIX H Unit Abbreviations. - APPENDIX I Physical Constants in International Systemof Units (SI). - APPENDIX J Conversions. - APPENDIX K Greek Alphabet . - APPENDIX L Acronyms. - References. - Index.
    Description / Table of Contents: An introduction to three-dimensional climate modeling by Warren M. Washington and Claire L. Parkinson provides a guide to the development and use of computer models of the earth's climate. The book describes the basic theory of climate simulation, including the fundamental equations and relevant numerical techniques for simulating the atmosphere, oceans, and sea ice. Results for a variety of past, present and future climates are shown and compared with observations.
    Type of Medium: Monograph available for loan
    Pages: XIV, 422 S. : Ill., graph. Darst., Kt.
    ISBN: 0935702520
    Branch Library: AWI Library
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  • 2
    Monograph available for loan
    Monograph available for loan
    Boulder, Colo. : National Center for Atmospheric Research
    Associated volumes
    Call number: MOP Per 148(54)
    In: NCAR technical notes
    Type of Medium: Monograph available for loan
    Pages: 30 p. : ill.
    Series Statement: NCAR technical notes 54
    Location: MOP - must be ordered
    Branch Library: GFZ Library
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  • 3
    Monograph available for loan
    Monograph available for loan
    Sausalito, Calif. : Univ. Science Books
    Call number: AWI A13-06-0025
    Type of Medium: Monograph available for loan
    Pages: XIII, 353 S. , Ill., graph. Darst. , 26 cm
    Edition: 2. ed.
    ISBN: 1891389351
    Note: Contents: Preface. - 1 Introduction and Historical Development. - 2 Physical Description of the Climate System. - 2.1 Atmosphere. - 2.1 .1 Atmospheric composition. - 2.1.2 Temperature profiles. - 2.1.3 Energy balances. - 2.1.4 Average surface temperature patterns. - 2.1.5 Large-scale hemispheric circulation patterns: Three-cell structure. - 2.1.6 Land/sea breezes and monsoons. - 2.2 Oceans. - 2.2.1 Seawater composition. - 2.2.2 Ocean temperatures. - 2.2.3 Ocean circulation. - 2.3 Sea Ice. - 2.3.1 Global sea ice distributions. - 2.3.2 Sea ice formation and growth. - 2.3.3 Sea ice ablation. - 2.3.4 Sea ice composition and properties. - 2.3.5 Sea ice topography. - 2.3.6 Sea ice concentration and velocity. - 2.4 Atmosphere/Ocean/lce Interconnections. - 2.4.1 Impacts of the atmosphere. - 2.4.2 Impacts of the ocean. - 2.4.3 An example of atmosphere/ocean interconnections: The El Nino/Southern Oscillation. - 2.4.4 North Atlantic Oscillation (NAO). - 2.4.5 Impacts of the ice. - 3 Basic Model Equations. - 3.1 Fundamental Equations. - 3.1.1 Conservation of momentum. - 3.1.2 Conservation of mass. - 3.1.3 First law of thermodynamics. - 3.1.4 Equation of state. - 3.2 Summary of the Basic Predictive Equations for the Atmosphere. - 3.3 Vertical Coordinate Systems. - 3.4 Atmospheric and Ocean Dynamics. - 3.4.1 Vorticity and divergence equations. - 3.4.2 Baroclinic models. - 3.5 Early General Atmospheric Circulation Model of the Atmosphere. - 3.6 Radiative and Cloud Processes. - 3.6.1 Radiation: Basic principles. - 3.6.2 Radiation: Physical laws. - 3.6.3 Solar radiation. - 3.6.4 Radiation: Effect of aerosols. - 3.6.5 Net heating/cooling rates. - 3.6.6 Moisture and precipitation. - 3.6.7 Clouds. - 3.6.8 Cumulus parameterization, general theory. - 3.6.9 Convective adjustment parameterization. - 3.6.10 More refined schemes for cumulus convection. - 3.7 Surface Processes. - 3.7.1 Boundary fluxes at the Earth's surface. - 3.7.2 Computation of surface temperature and hydrology. - 3.8 Ocean Models. - 3.8.1 Ocean model fundamentals. - 3.8.2 Parameterization of ocean eddies. - 3.8.3 Generalized coordinate systems for ocean modeling. - 3.8.4 lsopycnal ocean model. - 3.9 Sea Ice Models. - 3.9.1 lce thermodynamics. - 3.9.2 Ice dynamics. - 3.10 River Transport. - 4 Basic Methods of Solving Model Equations. - 4.1 Finite Differences. - 4.2 Finite Differencing in Two Dimensions. - 4.3 Spectral Method. - 4.3.1 Vibrating string example. - 4.3.2 Gibbs phenomenon. - 4.3.3 More general considerations of Fourier series and integrals. - 4.4 Spherical Representation. - 4.5 Spectral Transform Technique. - 4.6 Vertical Representation. - 4.7 Lagrangian and Semi-Lagrangian Methods. - 4.8 Spectral Element Method. - 5 Examples of Simulations of Present-Day Climate. - 5.1 Simulations of the Atmosphere. - 5.2 Simulations of the Ocean. - 5.3 Simulations of Sea Ice. - 5.4 Coupled Atmosphere, Land / Vegetation, Ocean, and Sea Ice Simulations. - 5.5 El Nino Simulations. - 5.6 Regional Climate Modeling. - 5.7 Modeling Groups. - 6 Climate Sensitivity Experiments. - 6.1 Sample Early Paleoclimate Simulations. - 6.2 Sample Later Paleoclimate Simulations. - 6.3 Sample Simulation of the Last Millennium. - 6.4 Sample Early Simulations of the El Nino/ Southern Oscillation. - 6.5 Sample Later Simulation of the El Nino/ Southern Oscillation. - 6.6 Research on the Climatic Effects of Increasing Greenhouse Gases and Aerosols. - 6.7 Sample Early Climate Model Simulations of the Effects of Greenhouse Gases. - 6.8 Later Simulations of the Effects of Greenhouse Gases, Aerosols, and Other Climate Forcings. - 6.9 Climate Modeling with the Carbon Cycle. - 6.10 Possible Climatic Effects Due to Nuclear War. - 6.11 Overview of Climate Sensitivity Studies. - 7 Outlook for Future Developments. - 7.1 Climate Model Evolution and Status. - 7.2 Issues Involved in Coupling. - 7.3 Continuing Needs. - 7.4 Two Further Potential Uses of Climate Models. - 7.5 National Research Council Assessment. - 7.6 Concluding Remarks. - APPENDIX A Vector Calculus. - A.1 Vector Operations in a Cartesian Coordinate System. - A.1.1 Vector addition and subtraction. - A.1.2 Vector multiplication. - A.1.3 Vector differentiation. - A.1.4 Gradient (del) operator. - A.2 Vector Operations in Generalized and Spherical Coordinates. - A.3 Vectors on a Rotating Sphere. - APPENDIX B Legendre Polynomials and Gaussian Quadrature. - APPENDIX C Derivation of Energy Equations. - APPENDIX D Unit Abbreviations. - APPENDIX E Physical Constants in Système International (SI) Units, and Typical Surface Albedos. - APPENDIX F Conversions and Prefixes. - APPENDIX G Greek Alphabet. - APPENDIX H Acronyms. - APPENDIX I Aerosols. - APPENDIX J Solar Radiation, Including Effects of Aerosols. - APPENDIX K Internet Sites for Climate Modeling and Climate Data. - APPENDIX L Computer Architectures Used in Climate Modeling: Definition of Terms. - Bibliography. - Index. - About the Authors.
    Branch Library: AWI Library
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  • 4
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 427 (2004), S. 777-777 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Sir I was pleased to see the headline of your Editorial “In praise of immigration” (〈weblink url="http://www.nature.com/cgi-taf/DynaPage.taf?file=/nature/journal/v427/n6971/full/427181a_fs.html"〉Nature 427, 181; 2004). However, it was distressing ...
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 382 (1996), S. 56-60 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] A second-generation global coupled general circulation climate model was integrated for 75 years with atmospheric CO2 levels increasing at a rate of 1% per year compounded. The last 20 years of this experiment are analysed (years 56-75; the CO2 level doubles at approximately year 70) and compared ...
    Type of Medium: Electronic Resource
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  • 6
    ISSN: 1420-9136
    Keywords: Monsoon circulation ; Anomaly patterns ; effect of ocean surface temperature
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract The time mean response of the summer monsoon circulation, as simulated by the 2.5° latitude-longitude resolution, July version of the National Center for Atmospheric Research (NCAR) General Circulation Model (GCM), to a variety of Indian Ocean surface temperature anomaly patterns is examined. In separate experiments, prescribed changes in surface temperature are imposed in the Western Arabian Sea, the Eastern Arbian Sea or the Central Indian Ocean. The influence of these anomaly patterns on the simulated summer monsoon circulation is evaluated in terms of the geographical distribution of the prescribed change response for any field of interest. This response is defined as the grid point difference between a 30-day mean from a prescribed change experiment and the ensemble average of the 30-day means from the control population for which the same set of climatological ocean surface temperatures are used in each simulation. The statistical significance of such a prescribed change response is estimated by relating the normalized response (defined as the ratio of the prescribed change response to the standard deviation of 30-day means as estimated from the finite sample of control cases) to the classical Student'st-statistic. Using this methodology, the most prominent and statistically significant features of the model's response are increased vertical velocity and precipitation over warm anomalies and typically decreased vertical velocity and precipitation in some preferred region adjacent to the prescribed change region. In the case of cold anomalies, these changes are of opposite sign. However, none of the imposed anomaly patterns produces substantial or statistically significant precipitation changes over large areas of the Indian sub-continent. The only evidence of a major nonlocal effect is found in the experiment with a large positive anomaly (+3°C) in the Central Indian Ocean. In this instance, vertical velocity and precipitation are reduced over Malaysia and a large area of the Equatorial Western Pacific Ocean. Thus, while these anomaly experiments produce only a local response (for the most part), it is hoped, as one of the purposes of the planned Monsoon Experiment (MONEX), that the necessary data will be provided to produce detailed empirical evidence on the extent to which Indian Ocean surface temperature anomalies correlate with precipitation anomalies over the Indian subcontinent—a correlation which generally does not appear in these GCM results.
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  • 7
    ISSN: 1432-0894
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract Components of interannual, intermonthly, and total monthly variability of lower troposphere temperature are calculated from a global coupled ocean-atmosphere general circulation model (GCM) (referred to as the coupled model), from the same atmospheric model coupled to a nondynamic mixedlayer ocean (referred to as the mixed-layer model), and from microwave sounding unit (MSU) satellite data. The coupled model produces most features of intermonthly and interannual variability compared to the MSU data, but with somewhat reduced amplitude in the extratropics and increased variability in the tropical western Pacific and tropical Atlantic. The relatively short 14-year period of record of the MSU data precludes definitive conclusions about variability in the observed system at longer time scales (e.g., decadal or longer). Different 14-year periods from the coupled model show variability on those longer time scales that were noted in Part 1 of this series. The relative contributions of intermonthly and interannual variability that make up the total monthly variability are similar between the coupled model and the MSU data, suggesting that similar mechanisms are at work in both the model and observed system. These include El Niño-Southern Oscillation (ENSO)-type interannual variability in the tropics, Madden-Julian Oscillation (MJO) type intermonthly variability in the tropics, and blocking-type intermonthly variability in the extratropics. Manifestations of all of these features have been noted in various versions of the model. Significant changes of variability noted in the coupled model with doubled carbon dioxide differ from those in our mixed-layer model and earlier studies with mixed-layer models. In particular, in our mixed-layer model intermonthly and interannual variability changes are similar with a mixture of regional increases and decreases, but with mainly decreases in the zonal mean from about 20°S to 60°N and near 60°S. In the coupled model, intermonthly and interannual changes of variability with doubled CO2 show mostly increases of tropical interannual variability and decreases of intermonthly variability near 60°N. These changes in the tropics are related to changes in ENSO, the south Asian monsoon, and other regional hydrological regimes, while the alterations near 60°N are likely associated with changes in blocking activity. These results point to the important contribution from ENSO seen in the coupled model and the MSU data that are not present in the mixed-layer model.
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  • 8
    ISSN: 1432-0894
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract A version of the National Center for Atmospheric Research community climate model — a global, spectral (R15) general circulation model — is coupled to a coarse-grid (5° latitude-] longitude, four-layer) ocean general circulation model to study the response of the climate system to increases of atmospheric carbon dioxide (CO2). Three simulations are run: one with an instantaneous doubling of atmospheric CO2 (from 330 to 660 ppm), another with the CO2 concentration starting at 330 ppm and increasing linearly at a rate of 1% per year, and a third with CO2 held constant at 330 pm. Results at the end of 30 years of simulation indicate a globally averaged surface air temperature increase of 1.6° C for the instantaneous doubling case and 0.7°C for the transient forcing case. Inherent characteristics of the coarse-grid ocean model flow sea-surface temperatures (SSTs) in the tropics and higher-than-observed SSTs and reduced sea-ice extent at higher latitudes] produce lower sensitivity in this model after 30 years than in earlier simulations with the same atmosphere coupled to a 50-m, slab-ocean mixed layer. Within the limitations of the simulated meridional overturning, the thermohaline circulation weakens in the coupled model with doubled CO2 as the high-latitude ocean-surface layer warms and freshens and westerly wind stress is decreased. In the transient forcing case with slowly increasing CO2 (30% increase after 30 years), the zonal mean warming of the ocean is most evident in the surface layer near 30°–50° S. Geographical plots of surface air temperature change in the transient case show patterns of regional climate anomalies that differ from those in the instantaneous CO2 doubling case, particularly in the North Atlantic and northern European regions. This suggests that differences in CO2 forcing in the climate system are important in CO2 response in regard to time-dependent climate anomaly regimes. This confirms earlier studies with simple climate models that instantaneous CO2 doubling simulations may not be analogous in all respects to simulations with slowly increasing CO2.
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  • 9
    ISSN: 1432-0894
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract We have developed an improved version of a world ocean model with the intention of coupling to an atmospheric model. This article documents the simulation capability of this 1° global ocean model, shows improvements over our earlier 5° version, and compares it to features simulated with a 0.5° model. These experiments use a model spin-up methodology whereby the ocean model can subsequently be coupled to an atmospheric model and used for order 100-year coupled model integrations. With present-day computers, 1° is a reasonable compromise in resolution that allows for century-long coupled experiments. The 1° ocean model is derived from a 0.5°-resolution model developed by A. Semtner (Naval Postgraduate School) and R. Chervin (National Center for Atmospheric Research) for studies of the global eddy-resolving world ocean circulation. The 0.5° bottom topography and continental outlines have been altered to be compatible with the 1° resolution, and the Arctic Ocean has been added. We describe the ocean simulation characteristics of the 1° version and compare the result of weakly constraining (three-year time scale) the three-dimensional temperature and salinity fields to the observations below the thermocline (710 m) with the model forced only at the top of the ocean by observed annual mean wind stress, temperature, and salinity. The 1° simulations indicate that major ocean circulation patterns are greatly improved compared to the 5° version and are qualitatively reproduced in comparison to the 0.5° version. Using the annual mean top forcing alone in a 100-year simulation with the 1° version preserves the general features of the major observed temperature and salinity structure with most climate drift occurring mainly beneath the thermocline in the first 50–75 years. Because the thermohaline circulation in the 1° version is relatively weak with annual mean forcing, we demonstrate the importance of the seasonal cycle by performing two sensitivity experiments. Results show a dramatic intensification of the meridional overturning circulation (order of magnitude) with perpetual winter surface temperature forcing in the North Atlantic and strong intensification (factor of three) with perpetual early winter temperatures in that region. These effects are felt throughout the Atlantic (particularly an intensified and northward-shifted Gulf Stream outflow). In the Pacific, the temperature gradient strengthens in the thermocline, thus helping counter the systematic error of a thermocline that is too diffuse.
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  • 10
    Electronic Resource
    Electronic Resource
    Springer
    Climate dynamics 8 (1993), S. 117-133 
    ISSN: 1432-0894
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract Results from a global coupled ocean-atmosphere general circulation model (GCM) are used to perform the first in a series of studies of the various time and space scales of climate anomalies in an environment of gradually increasing carbon dioxide (CO2) (a linear transient increase of 1% per year in the coupled model). Since observed climate anomaly patterns often are computed as time-averaged differences between two periods, climate-change signals in the coupled model are defined using differences of various averaging intervals between the transient and control integrations. Annual mean surface air temperature differences for several regions show that the Northern Hemisphere warms faster than the Southern Hemisphere and that land areas warm faster than ocean. The high northern latitudes outside the North Atlantic contribute most to global warming but also exhibit great variability, while the high southern latitudes contribute the least. The equatorial tropics warm more slowly than the subtropics due to strong upwelling and mixing in the ocean. The globally averaged surface air temperature trend computed from annual mean differences for years 23–60 is 0.03
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