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Books on the topic 'Climate change models'

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Published: 10 December 2022
Last updated: 7 July 2024

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1

DeCanio, Stephen J. Economic Models of Climate Change. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230509467.

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2

United States. National Aeronautics and Space Administration., ed. Modeling climate change in the absence of climate change data: Editorial comment. [Washington, D.C: National Aeronautics and Space Administration, 1995.

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3

Wang, Zheng, Jing Wu, Changxin Liu, and Gaoxiang Gu. Integrated Assessment Models of Climate Change Economics. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3945-4.

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4

Ward, George H. Hydrological predictands for climate-change modeling. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Denver Office, 1996.

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5

Ward, George H. Hydrological predictands for climate-change modeling. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Denver Office, 1996.

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6

NASA Scientific Forum on Climate Variability and Global Change (1999 Vienna, Austria). NASA Scientific Forum on Climate Variability and Global Change: 20 July 1999 : UNISPACE III. [Washington, DC]: Published by National Aeronautics and Space Administration as a contribution to United Nations Office of Outer Space Affairs for UNISPACE III, 1999.

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7

Parson, Edward. Climate treaties and models: Issues in the international management of climate change. Washington, DC: Office of Technology Assessment, 1994.

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8

Parson, Edward. Climate treaties and models: Issues in the international management of climate change. Washington, DC: The Office, 1994.

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9

A, Schiffer R., United States. National Aeronautics and Space Administration., United Nations. Office for Outer Space Affairs., and United Nations Conference on the Exploration and Peaceful Uses of Outer Space (3rd : 1999 : Vienna, Austria), eds. NASA Scientific Forum on Climate Variability and Global Change: 20 July 1999 : UNISPACE III : third United Nations Conference on the Exploration and Peaceful Uses of Outer Space, 19-30 July 1999. [Washington, DC]: Published by National Aeronautics and Space Administration as a contribution to United Nations Office of Outer Space Affairs for UNISPACE III, 1999.

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10

A, Schiffer R., United States. National Aeronautics and Space Administration., United Nations. Office for Outer Space Affairs., and United Nations Conference on the Exploration and Peaceful Uses of Outer Space (3rd : 1999 : Vienna, Austria), eds. NASA Scientific Forum on Climate Variability and Global Change: 20 July 1999 : UNISPACE III : third United Nations Conference on the Exploration and Peaceful Uses of Outer Space, 19-30 July 1999. [Washington, DC]: Published by National Aeronautics and Space Administration as a contribution to United Nations Office of Outer Space Affairs for UNISPACE III, 1999.

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11

National Research Council (U.S.). Climate Research Committee. Capacity of U.S. climate modeling to support climate change assessment activities. Washington, D.C: National Academy Press, 1998.

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12

Singer, Carol A. Simulation models of climate change: January 1979 - April 1993. Beltsville, Md: National Agricultural Library, 1993.

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13

The social life of climate change models: Anticipating nature. New York: Routledge, 2012.

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14

Singer, Carol A. Simulation models of climate change: January 1979 - April 1993. Beltsville, Md: National Agricultural Library, 1993.

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15

Malanson, George P. Improving environmental simulation models: To asses climate change impacts. Iowa City, Iowa: Uniersity of Iowa, Dept. of Geography, 1990.

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16

Singer, Carol A. Simulation models of climate change: January 1979 - April 1993. Beltsville, Md: National Agricultural Library, 1993.

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17

Environmental and Water Resources Institute (U.S.), ed. Climate change modeling, mitigation, and adaptation. Reston, Virginia: American Society of Civil Engineers, 2013.

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18

Hodkinson, Trevor R. Climate change, ecology, and systematics. Cambridge: Cambridge University Press, 2011.

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19

Hodkinson, Trevor R. Climate change, ecology, and systematics. Cambridge: Cambridge University Press, 2011.

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20

E, Schlesinger M., ed. Physically-based modelling and simulation of climate and climatic change. Dordrecht: Kluwer Academic Publishers, 1988.

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21

Wendy, Howe, Henderson-Sellers A, and Model Evaluation Consortium for Climate Assessment., eds. Assessing climate change: Results from the Model Evaluation Consortium for Climate Assessment. Amsterdam: Gordon and Breach Science Publishers, 1997.

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22

1943-, Solomon Allen M., and Shugart H. H, eds. Vegetation dynamics & global change. New York: Chapman & Hall, 1993.

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23

Angus, Fergusson, Whitewood Bob, Hengeveld Henry 1947-, and Canada Environment Canada, eds. An introduction to climate change: A Canadian perspective. [Ottawa]: Environment Canada, 2005.

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24

Decker, Wayne L. The use of statistical climate-crop models for simulating yield to project the impacts of COb2s induced climate change. Washington, D.C: The Division, 1988.

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25

The economics of adaptation to climate change in integrated assessment models. [S.l: s.n.], 2011.

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26

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

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27

Agency, International Energy, ed. Mapping the energy future: Energy modelling and climate change policy. Paris: International Energy Agency, 1998.

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28

Suastegui, Angel Utset. Support water-management decision-making under climate change conditions. New York: Nova Science Publishers, 2009.

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29

Suastegui, Angel Utset. Support water-management decision-making under climate change conditions. New York: Nova Science Publishers, 2009.

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30

J, Martinec, ed. Remote sensing in snow hydrology: Runoff modelling, effect of climate change. Berlin: Springer ; Chichester, UK, 2004.

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31

Regional impacts of global climate change: Assessing change and response at the scales that matter. Columbus, Ohio: Battelle Press, 1996.

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32

Suasteguí, Angel Utset. Support water-management decision-making under climate change conditions. New York: Nova Science Publishers, Inc., 2008.

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33

Systems representation of global climate change models: Foundation for a systems science approach. London: Springer-Verlag, 1993.

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34

Kādera, Mirjā Ema Manirula, and Ahmad Qazi Kholiquzzaman 1943-, eds. Climate change and water resources in South Asia. Leiden: A.A. Balkema, 2005.

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35

Crane, Robert G. Regional climate change predictions from the Goddard Institute for Space Studies high resolution GCM. University Park, Pa: Pennsylvania State University, Dept. of Geography and the Earth System Science Center, 1990.

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36

Systems Representation of Global Climate Change Models. London: Springer-Verlag, 1993. http://dx.doi.org/10.1007/bfb0033653.

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37

Economic Models of Climate Change: A Critique. Palgrave Macmillan, 2003.

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38

DeCanio, S. Economic Models of Climate Change: A Critique. Palgrave Macmillan Limited, 2003.

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39

Economic Models of Climate Change: A Critique. Palgrave Macmillan, 2003.

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40

Wu, Jing, Zheng Wang, Changxin Liu, and Gaoxiang Gu. Integrated Assessment Models of Climate Change Economics. Springer, 2018.

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41

Wu, Jing, Zheng Wang, Changxin Liu, and Gaoxiang Gu. Integrated Assessment Models of Climate Change Economics. Springer, 2017.

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42

Decanio, Stephen J. Economic Models of Climate Change: A Critique. Palgrave Macmillan, 2003.

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43

The Social Life of Climate Change Models. Routledge, 2014.

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44

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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Abstract:
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 improving model projections is comparisons with observations. Exceeding uncertainties associated with climate model simulation are uncertainties due to projections of future emissions of CO2 and other greenhouse gases. Humanity’s choices in emissions pathways will have profound effects on climate, especially after the mid-century.The African Sahel is a transition zone characterized by strong meridional precipitation and temperature gradients. Over West Africa, the Sahel marks the northernmost extent of the West African monsoon system. The region’s climate is known to be sensitive to sea surface temperatures, both regional and global, as well as to land surface conditions. Increasing atmospheric greenhouse gases are already causing amplified warming over the Sahara Desert and, consequently, increased rainfall in parts of the Sahel. Climate model projections indicate that much of this increased rainfall will be delivered in the form of more intense storm systems.The complicated and highly regional precipitation regimes of East Africa present a challenge for climate modeling. Within roughly 5º of latitude of the equator, rainfall is delivered in two seasons—the long rains in the spring, and the short rains in the fall. Regional climate model projections suggest that the long rains will weaken under greenhouse gas forcing, and the short rains season will extend farther into the winter months. Observations indicate that the long rains are already weakening.Changes in seasonal rainfall over parts of subtropical southern Africa are observed, with repercussions and challenges for agriculture and water availability. Some elements of these observed changes are captured in model simulations of greenhouse gas-induced climate change, especially an early demise of the rainy season. The projected changes are quite regional, however, and more high-resolution study is needed. In addition, there has been very limited study of climate change in the Congo Basin and across northern Africa. Continued efforts to understand and predict climate using higher-resolution simulation must be sustained to better understand observed and projected changes in the physical processes that support African precipitation systems as well as the teleconnections that communicate remote forcings into the continent.
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45

(Editor), Manola Brunet India, and Diego Lopez Bonillo (Editor), eds. Detecting and Modelling Regional Climate Change. Springer, 2001.

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46

Bonillo, Diego Lopez, and Manola Brunet India. Detecting and Modelling Regional Climate Change. Springer London, Limited, 2013.

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47

Dark, Stephen M. Contemplating Climate Change: Mental Models and Human Reasoning. Taylor & Francis Group, 2018.

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48

Social Life of Climate Change Models: Anticipating Nature. Taylor & Francis Group, 2012.

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49

Social Life of Climate Change Models: Anticipating Nature. Taylor & Francis Group, 2012.

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50

Social Life of Climate Change Models: Anticipating Nature. Routledge, 2012.

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