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Books on the topic 'Coupled climate model simulations'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Kulkarni, Ashwini. Examining Indian monsoon variability in coupled climate model simulations and projections. Indian Institute of Tropical Meteorology, 2010.

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2

Kulkarni, Ashwini. Examining Indian monsoon variability in coupled climate model simulations and projections. Indian Institute of Tropical Meteorology, 2010.

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3

Nozawa, Tōru. Climate change simulations with a coupled ocean-atmosphere GCM called the model for interdisciplinary research on climate: MIROC. Center for Global Environmental Research, National Institute for Environmental Studies, 2007.

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4

Okazaki, Atsushi. Development of stable water isotope incorporated atmosphere-land coupled model and comparison with climate proxies. Division of Climate System Research, Atmosphere and Ocean Research Institute, The University of Tokyo, 2018.

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5

Ann-Maree, Hansen, ed. Climate change atlas: Greenhouse simulations from the Model Evaluation Consortium for Climate Assessment. Kluwer Academic Publishers, 1995.

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6

Hengeveld, Henry. Projections for Canada's climate future: A discussion of recent simulations with the Canadian global climate model. Environment Canada, 2000.

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7

M, Cox Peter, ed. Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model. Macmillan Journals, 2000.

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8

W, Zack John, Karyampudi V. Mohan, and United States. National Aeronautics and Space Administration., eds. Development of high resolution simulations of the atmospheric environment using the MASS model. MESO Inc., 1990.

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9

Nese, Jon M. Predictability of weather and climate in a coupled ocean-atmosphere model: A dynamical systems approach. Pennsylvania State University, Graduate School, Dept. of Meteorology, 1989.

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10

Fleming, Gordon H. Development of a large-scale coupled sea-ice model for interannual simulations of ice cover in the Arctic. Naval Postgraduate School, 1989.

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11

Service, Canadian Forest, and Rocky Mountain Research Station (Fort Collins, Colo.), eds. High resolution interpolation of climate scenarios for the conterminous USA and Alaska derived from general circulation model simulations. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2011.

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12

Shibata, Kiyotaka. Simulations of the stratospheric circulation and ozone during the recent past (1980-2004) with the MRI chemistry-climate model. Center for Global Environmental Research, National Institute for Environmental Studies, 2008.

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13

Hengeveld, Henry. Projections for Canada's climate future : a discussion of recent simulations with the Canadian Global Climate Model =: Projections du climat futur du Canada : discussion de simulations récemment effectuées avec le modèle canadien du climat du globe. Environment Canada = Environnement Canada, 2000.

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14

Examining Indian monsoon variability in coupled climate model simulations and projections. Indian Institute of Tropical Meteorology, 2010.

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15

Gao, Yanhong, and Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.

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The modeling of climate over the Tibetan Plateau (TP) started with the introduction of Global Climate Models (GCMs) in the 1950s. Since then, GCMs have been developed to simulate atmospheric dynamics and eventually the climate system. As the highest and widest international plateau, the strong orographic forcing caused by the TP and its impact on general circulation rather than regional climate was initially the focus. Later, with growing awareness of the incapability of GCMs to depict regional or local-scale atmospheric processes over the heterogeneous ground, coupled with the importance of t

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16

Atmospheric ozone as a climate gas: General circulation model simulations. Springer, 1995.

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17

Atmospheric Ozone As A Climate Gas General Circulation Model Simulations. Springer, 2012.

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18

Wang, Wei-Chyung, and Ivar S. Isaksen. Atmospheric Ozone As a Climate Gas: General Circulation Model Simulations. Springer London, Limited, 2013.

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19

Kleinn, Jan. Climate change and runoff statistics in the Rhine Basin: A process study with a coupled climate - runoff model. 2002.

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20

Fleming, Gordon H. Development of a large-scale coupled sea-ice model for interannual simulations of ice cover in the Arctic. 1989.

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21

Fleming, Gordon H. Development of a large-scale coupled sea-ice model for interannual simulations of ice cover in the Arctic. 1989.

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22

Jiang, Xingjian. Role of oceanic heat transport processes in CO-́induced warming: Analysis of simulations by the OSU coupled atmosphere-ocean general circulation model. 1986.

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23

Wang, Bin. Intraseasonal Modulation of the Indian Summer Monsoon. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.616.

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The strongest Indian summer monsoon (ISM) on the planet features prolonged clustered spells of wet and dry conditions often lasting for two to three weeks, known as active and break monsoons. The active and break monsoons are attributed to a quasi-periodic intraseasonal oscillation (ISO), which is an extremely important form of the ISM variability bridging weather and climate variation. The ISO over India is part of the ISO in global tropics. The latter is one of the most important meteorological phenomena discovered during the 20th century (Madden & Julian, 1971, 1972). The extreme dry an

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24

(Editor), Wei-Chyung Wang, and I. S. A. Isaksen (Editor), eds. Atmospheric Ozone As a Climate Gas: General Circulation Model Simulations (Nato a S I Series Series I, Global Environmental Change). Springer-Verlag Telos, 1995.

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25

Cook, Kerry H. Climate Change Scenarios and African Climate Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.545.

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Accurate projections of climate change under increasing atmospheric greenhouse gas levels are needed to evaluate the environmental cost of anthropogenic emissions, and to guide mitigation efforts. These projections are nowhere more important than Africa, with its high dependence on rain-fed agriculture and, in many regions, limited resources for adaptation. Climate models provide our best method for climate prediction but there are uncertainties in projections, especially on regional space scale. In Africa, limitations of observational networks add to this uncertainty since a crucial step in i

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26

Sanderson, Benjamin Mark. Uncertainty Quantification in Multi-Model Ensembles. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.707.

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Long-term planning for many sectors of society—including infrastructure, human health, agriculture, food security, water supply, insurance, conflict, and migration—requires an assessment of the range of possible futures which the planet might experience. Unlike short-term forecasts for which validation data exists for comparing forecast to observation, long-term forecasts have almost no validation data. As a result, researchers must rely on supporting evidence to make their projections. A review of methods for quantifying the uncertainty of climate predictions is given. The primary tool for qu

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27

Clark, James S., Dave Bell, Michael Dietze, et al. Assessing the probability of rare climate events. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.16.

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This article focuses on the use of Bayesian methods in assessing the probability of rare climate events, and more specifically the potential collapse of the meridional overturning circulation (MOC) in the Atlantic Ocean. It first provides an overview of climate models and their use to perform climate simulations, drawing attention to uncertainty in climate simulators and the role of data in climate prediction, before describing an experiment that simulates the evolution of the MOC through the twenty-first century. MOC collapse is predicted by the GENIE-1 (Grid Enabled Integrated Earth system m

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28

Goswami, B. N., and Soumi Chakravorty. Dynamics of the Indian Summer Monsoon Climate. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.613.

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Lifeline for about one-sixth of the world’s population in the subcontinent, the Indian summer monsoon (ISM) is an integral part of the annual cycle of the winds (reversal of winds with seasons), coupled with a strong annual cycle of precipitation (wet summer and dry winter). For over a century, high socioeconomic impacts of ISM rainfall (ISMR) in the region have driven scientists to attempt to predict the year-to-year variations of ISM rainfall. A remarkably stable phenomenon, making its appearance every year without fail, the ISM climate exhibits a rather small year-to-year variation (the sta

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29

Liu, Xiaodong, and Libin Yan. Elevation-Dependent Climate Change in the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.593.

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As a unique and high gigantic plateau, the Tibetan Plateau (TP) is sensitive and vulnerable to global climate change, and its climate change tendencies and the corresponding impact on regional ecosystems and water resources can provide an early alarm for global and mid-latitude climate changes. Growing evidence suggests that the TP has experienced more significant warming than its surrounding areas during past decades, especially at elevations higher than 4 km. Greater warming at higher elevations than at lower elevations has been reported in several major mountainous regions on earth, and thi

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30

Omstedt, Anders. The Development of Climate Science of the Baltic Sea Region. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.654.

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Dramatic climate changes have occurred in the Baltic Sea region caused by changes in orbital movement in the earth–sun system and the melting of the Fennoscandian Ice Sheet. Added to these longer-term changes, changes have occurred at all timescales, caused mainly by variations in large-scale atmospheric pressure systems due to competition between the meandering midlatitude low-pressure systems and high-pressure systems. Here we follow the development of climate science of the Baltic Sea from when observations began in the 18th century to the early 21st century. The question of why the water l

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31

Stamenova, M., and S. Sanvito. Atomistic spin-dynamics. Edited by A. V. Narlikar and Y. Y. Fu. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199533046.013.7.

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This article reviews recent advances towards the development of a truly atomistic time-dependent theory for spin-dynamics. The focus is on the s-d tight-binding model [where conduction electrons (s) are exchange-coupled to a number of classical spins (d)], including electrostatic corrections at the Hartree level, as the underlying electronic structure theory. In particular, the article considers one-dimensional (1D) magnetic atomic wires and their electronic structure, described by means of the s-d model. The discussion begins with an overview of the model spin Hamiltonian, followed by molecul

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32

Christensen, Ole Bøssing, and Erik Kjellström. Projections for Temperature, Precipitation, Wind, and Snow in the Baltic Sea Region until 2100. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.695.

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The ecosystems and the societies of the Baltic Sea region are quite sensitive to fluctuations in climate, and therefore it is expected that anthropogenic climate change will affect the region considerably. With numerical climate models, a large amount of projections of meteorological variables affected by anthropogenic climate change have been performed in the Baltic Sea region for periods reaching the end of this century.Existing global and regional climate model studies suggest that:• The future Baltic climate will get warmer, mostly so in winter. Changes increase with time or increasing emi

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33

Claussen, Martin, Anne Dallmeyer, and Jürgen Bader. Theory and Modeling of the African Humid Period and the Green Sahara. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.532.

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There is ample evidence from palaeobotanic and palaeoclimatic reconstructions that during early and mid-Holocene between some 11,700 years (in some regions, a few thousand years earlier) and some 4200 years ago, subtropical North Africa was much more humid and greener than today. This African Humid Period (AHP) was triggered by changes in the orbital forcing, with the climatic precession as the dominant pacemaker. Climate system modeling in the 1990s revealed that orbital forcing alone cannot explain the large changes in the North African summer monsoon and subsequent ecosystem changes in the

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34

Holmes, Jonathan, and Philipp Hoelzmann. The Late Pleistocene-Holocene African Humid Period as Evident in Lakes. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.531.

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From the end of the last glacial stage until the mid-Holocene, large areas of arid and semi-arid North Africa were much wetter than present, during the interval that is known as the African Humid Period (AHP). During this time, large areas were characterized by a marked increase in precipitation, an expansion of lakes, river systems, and wetlands, and the spread of grassland, shrub land, and woodland vegetation into areas that are currently much drier. Simulations with climate models indicate that the AHP was the result of orbitally forced increase in northern hemisphere summer insolation, whi

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