Academic literature on the topic 'Climate change models'
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Journal articles on the topic "Climate change models"
Pitman, A. J., and R. J. Stouffer. "Abrupt change in climate and climate models." Hydrology and Earth System Sciences Discussions 3, no. 4 (July 19, 2006): 1745–71. http://dx.doi.org/10.5194/hessd-3-1745-2006.
Full textPitman, A. J., and R. J. Stouffer. "Abrupt change in climate and climate models." Hydrology and Earth System Sciences 10, no. 6 (November 28, 2006): 903–12. http://dx.doi.org/10.5194/hess-10-903-2006.
Full textShaw M, W. "Preparing for changes in plant disease due to climate change." Plant Protection Science 45, Special Issue (January 3, 2010): S3—S10. http://dx.doi.org/10.17221/2831-pps.
Full textDooge, J. C. I. "Hydrologic models and climate change." Journal of Geophysical Research 97, no. D3 (1992): 2677. http://dx.doi.org/10.1029/91jd02156.
Full textAnonymous. "Numerical models of climate change." Eos, Transactions American Geophysical Union 69, no. 45 (1988): 1556. http://dx.doi.org/10.1029/88eo01181.
Full textMasson, Valéry, Aude Lemonsu, Julia Hidalgo, and James Voogt. "Urban Climates and Climate Change." Annual Review of Environment and Resources 45, no. 1 (October 17, 2020): 411–44. http://dx.doi.org/10.1146/annurev-environ-012320-083623.
Full textStott, Peter A., and Chris E. Forest. "Ensemble climate predictions using climate models and observational constraints." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 365, no. 1857 (June 14, 2007): 2029–52. http://dx.doi.org/10.1098/rsta.2007.2075.
Full textSchär, Christoph, Christoph Frei, Daniel Lüthi, and Huw C. Davies. "Surrogate climate-change scenarios for regional climate models." Geophysical Research Letters 23, no. 6 (March 15, 1996): 669–72. http://dx.doi.org/10.1029/96gl00265.
Full textKriticos, Darren, Anna Szyniszewska, Catherine Bradshaw, Christine Li, Eleni Verykouki, Tania Yonow, and Catriona Duffy. "Modelling tools for including climate change in pest risk assessments." EPPO Bulletin 54, S1 (March 2024): 38–51. http://dx.doi.org/10.1111/epp.12994.
Full textBelda, Michal, Petr Skalák, Aleš Farda, Tomáš Halenka, Michel Déqué, Gabriella Csima, Judit Bartholy, et al. "CECILIA Regional Climate Simulations for Future Climate: Analysis of Climate Change Signal." Advances in Meteorology 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/354727.
Full textDissertations / Theses on the topic "Climate change models"
Dunn, Katherine Margaret. "Prototyping Models of Climate Change: New Approaches to Modelling Climate Change Data. 3D printed models of Climate Change research created in collaboration with Climate Scientists." Thesis, The University of Sydney, 2017. http://hdl.handle.net/2123/17623.
Full textLanzi, Elisa <1981>. "Essays in technical change and climate change." Doctoral thesis, Università Ca' Foscari Venezia, 2010. http://hdl.handle.net/10579/949.
Full textQuesta tesi é focalizzata sulla connessione tra I cambiamenti climatic, l’innovazione ed il capital fisico. Caratteristiche dell’economia di un paese come il contributo dei settori inquinanti, e la loro intensitá di inquinamento sono fondamentali per comprendere come limitare i costi delle politiche sui cambiamenti climatici. In particolare questa tesi e’incentrata su quattro aspetti. Primo, sull’aumento dei costi delle politiche sui cambiamenti climatici in presenza di una possibilitá limitata ti riallocare il capitale dai settori inquinanti a quelli“puliti”. Secondo, consideriamo l’influenza della copertura settoriale delle politiche sul cambiamento climatico come il sistema di scambio di permessi dell’UE. Terzo, ci focalizziamo sull’innovazione nel settore energetico per illustrare che ci sono dinamiche interne che dovrebbero essere considerate, poiché possono portare a un miglioramento dell’efficienza energetica. Infine, stimiamo un modello di cambiamento technologico per studiare gli effetti delle politiche sul cambiamento climatico sulla direzione del cambiamento tecnologico nel settore ambientale.
Tidwell, Amy C. "Assessing the impacts of climate change on river basin management a new method with application to the Nile river/." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/19830.
Full textCommittee Chair: Georgakakos, Aris; Committee Member: Fu, Rong; Committee Member: Peters-Lidard, Christa; Committee Member: Roberts, Phil; Committee Member: Sturm, Terry; Committee Member: Webster, Don.
Engström, Gustav. "Essays on Economic Modeling of Climate Change." Doctoral thesis, Stockholms universitet, Nationalekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-79149.
Full textBarth, Volker. "Integrated assessment of climate change using structural dynamic models." Hamburg : Max-Planck-Inst. für Meteorologie, 2003. http://deposit.ddb.de/cgi-bin/dokserv?idn=968535933.
Full textSue, Wing Ian 1970. "Induced technical change in computable general equilibrium models for climate-change policy analysis." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/16783.
Full textIncludes bibliographical references (p. 329-352).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Policies to avert the threat of dangerous climate change focus on stabilizing atmospheric carbon dioxide concentrations by drastically reducing anthropogenic emissions of carbon. Such reductions require limiting the use of fossil fuels-which supply the bulk of energy to economic activity, and for which substitutes are lacking-which is feared will cause large energy price increases and reductions in economic welfare. However, a key determinant of the cost of emissions limits is technological change-especially innovation induced by the price changes that stem from carbon abatement itself, about which little is understood.This thesis investigates the inducement of technological change by limits on carbon emissions, and the effects of such change on the macroeconomic cost of undertaking further reductions. The analysis is conducted using a computable general equilibrium (CGE) model of the US economy-a numerical simulation that determines aggregate welfare based on the interaction of prices with the demands for and supplies of commodities and factors across different markets. Within the model induced technical change (ITC) is represented by the effect of emissions limits on the accumulation of the economy's stock of knowledge, and by the reallocation of the intangible services generated by the stock, which are a priced input to sectoral production functions.
(cont.) The results elucidate four key features of ITC: (1) the inducement process, i.e., the mechanism by which relative prices determine the level and the composition of aggregate R&D; (2) the effects of changes in R&D on knowledge accumulation in the long-run, and of contemporaneous substitution of knowledge services within and among industries; (3) the loci of sectoral changes in intangible investment and knowledge inputs induced by emissions limits; and (4) the ultimate impact of the accumulation and substitution of knowledge on economic welfare.
by Ian Sue Wing.
Ph.D.
Möller, Thordis Sybille Wilhelma. "Climate change and European agriculture." Doctoral thesis, Humboldt-Universität zu Berlin, Landwirtschaftlich-Gärtnerische Fakultät, 2012. http://dx.doi.org/10.18452/16480.
Full textThis study aims to assess potential economic effects of climate change on European agricultural markets at member state level by 2050, focusing on cereal and oilseed markets. The future scenarios include social as well as economic developments derived from two potential emission scenarios. In this modelling framework, crop simulation results of crop productivity changes from the dynamic vegetation model LPJmL, which are based on five individual climate projections, serve as inputs which are administered as a supply shock to the European Simulation Model (ESIM). ESIM is a partial equilibrium model depicting the agricultural sector of the EU in substantial detail. Changes in yields, production quantity and crop prices by the year 2050 are simulated. In order to account for the uncertainty inherent in climate impact assessments, two approaches are considered in this thesis. First, in order to account for climate change increased yield variability, stochasticity is implemented in ESIM, using the method of Gaussian Quadratures. The second method uses the five individual LPJmL outputs to generate a distribution of results. Further, a closely connected purpose of this study is to consider climate change induced adaptation of farmers to changes in the relative profitability of crops. Simulation results indicate, that agricultural productivity in most European countries is positively affected by climate change, at least until the year 2050. However, the degree of impacts vary among crop categories and countries and are also dependent on scenario assumptions. This thesis contributes to the current discussion about climate change impacts by quantifying the potential damages and benefits that may arise from climate change on EU member state level, as well as globally. Further, the stochastic and multiple simulation results based on different future climate and emission projections deliver a more realistic spectrum of potential impacts.
Mangal, Tara Danielle. "Developing spatio-temporal models of schistosomiasis transmission with climate change." Thesis, University of Liverpool, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.526800.
Full textShayegh, Soheil. "Learning in integrated optimization models of climate change and economy." Diss., Georgia Institute of Technology, 2014. http://hdl.handle.net/1853/54012.
Full textTrigo, Ricardo M. "Improving meteorological downscaling methods with artificial neural network models." Thesis, University of East Anglia, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327283.
Full textBooks on the topic "Climate change models"
DeCanio, Stephen J. Economic Models of Climate Change. London: Palgrave Macmillan UK, 2003. http://dx.doi.org/10.1057/9780230509467.
Full textUnited 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.
Find full textWang, 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.
Full textWard, George H. Hydrological predictands for climate-change modeling. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Denver Office, 1996.
Find full textWard, George H. Hydrological predictands for climate-change modeling. Denver, Colo: U.S. Dept. of the Interior, Bureau of Reclamation, Denver Office, 1996.
Find full textNASA 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.
Find full textParson, Edward. Climate treaties and models: Issues in the international management of climate change. Washington, DC: Office of Technology Assessment, 1994.
Find full textParson, Edward. Climate treaties and models: Issues in the international management of climate change. Washington, DC: The Office, 1994.
Find full textA, 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.
Find full textA, 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.
Find full textBook chapters on the topic "Climate change models"
Majumder, Mrinmoy. "Climate Change and Climate Models." In Impact of Urbanization on Water Shortage in Face of Climatic Aberrations, 55–66. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-4560-73-3_4.
Full textLeung, L. Ruby. "Regional Climate Models." In Climate Change Modeling Methodology, 211–33. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5767-1_9.
Full textDethloff, K., A. Rinke, A. Lynch, W. Dorn, S. Saha, and D. Handorf. "Arctic Regional Climate Models." In Arctic Climate Change, 325–56. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2027-5_8.
Full textWeisse, Ralf, and Hans von Storch. "Models for the marine environment." In Marine Climate and Climate Change, 77–111. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68491-6_3.
Full textGottinger, Hans W. "Global Climate Change Models." In Encyclopedia of Operations Research and Management Science, 645–49. Boston, MA: Springer US, 2013. http://dx.doi.org/10.1007/978-1-4419-1153-7_388.
Full textMajumder, Mrinmoy, and Apu K. Saha. "Climate Change and Models." In Impact of Climate Change on Hydro-Energy Potential, 9–11. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-305-7_3.
Full textBacmeister, Julio T. "Weather Prediction Models." In Climate Change Modeling Methodology, 89–114. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5767-1_5.
Full textSanderson, Ben, and Reto Knutti. "Climate Change climate change Projections climate change projections : Characterizing Uncertainty Using Climate Models." In Encyclopedia of Sustainability Science and Technology, 2097–114. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_369.
Full textSilveira, Paulo, and Tomaz Ponce Dentinho. "Climate Change and Land Use Changes." In Spatial Interaction Models with Land Use, 137–69. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-55008-9_6.
Full textWibig, Joanna, Douglas Maraun, Rasmus Benestad, Erik Kjellström, Philip Lorenz, and Ole Bøssing Christensen. "Projected Change—Models and Methodology." In Regional Climate Studies, 189–215. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16006-1_10.
Full textConference papers on the topic "Climate change models"
Herath, H. M. R. C., and I. M. S. P. Jayawardena. "EVALUATION OF DOWNSCALED CMIP5 CLIMATE MODELS TO SELECT THE BEST MODELS TO DEVELOP FUTURE CLIMATE SCENARIOS FOR SRI LANKA." In The International Conference on Climate Change. The International Institute of Knowledge Management (TIIKM), 2018. http://dx.doi.org/10.17501/iccc.2017.1204.
Full textDarshika, Thanuja. "Future Climate Projections for Annual and Seasonal Rainfall in Sri Lanka using CMIP5 Models." In International Conference on Climate Change. The International Institute of Knowledge Management (TIIKM), 2017. http://dx.doi.org/10.17501/iccc.2017.1108.
Full textWASHINGTON, WARREN M. "THE STATUS OF CLIMATE MODELS AND CLIMATE CHANGE SIMULATIONS." In International Seminar on Nuclear War and Planetary Emergencies 25th Session. Singapore: World Scientific Publishing Co. Pte. Ltd., 2001. http://dx.doi.org/10.1142/9789812797001_0039.
Full textCandia, Juan Ramón, Luisa Huaccho Huatuco, and Peter Ball. "Challenges faced by data-driven climate change start-ups." In New Business Models 2023. Maastricht University Press, 2023. http://dx.doi.org/10.26481/mup.2302.25.
Full textChaudhary, Junaid Rafi, Husain, and Tahir. "Uncertainty Analysis of Humidity and Precipitation Changes using Data from Global Climatic Models with a Case Study." In 2006 IEEE EIC Climate Change Conference. IEEE, 2006. http://dx.doi.org/10.1109/eicccc.2006.277180.
Full textSubramaniyam, C., and RLHL Rajapakse. "VARIANTS OF RECURRENT NEURAL NETWORK MODELS FOR REAL-TIME FLOOD FORECASTING IN KELANI RIVER BASIN, SRI LANKA." In The International Conference on Climate Change. The International Institute of Knowledge Management, 2023. http://dx.doi.org/10.17501/2513258x.2023.7105.
Full textHoltanová, Eva, and Tomáš Halenka. "Climate change scenarios." In První konference PERUN. Český hydrometeorologický ústav, 2023. http://dx.doi.org/10.59984/978-80-7653-063-8.03.
Full text"Linking regional climate simulations and hydrologic models for climate-change impact studies: a data processing framework." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152123495.
Full textStone, Peter H. "Forecast cloudy: The limits of global warming models." In The world at risk: Natural hazards and climate change. AIP, 1992. http://dx.doi.org/10.1063/1.43901.
Full text"Climate Change and Biogeochemical Cycling, Building Models to Predict Field and Watershed Scale Changes in Biogeochemical Cycling." In ASABE 1st Climate Change Symposium: Adaptation and Mitigation. American Society of Agricultural and Biological Engineers, 2015. http://dx.doi.org/10.13031/cc.20152128432.
Full textReports on the topic "Climate change models"
Goody, R., and M. Gerstell. Physical basis for climate change models. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10107441.
Full textPindyck, Robert. Climate Change Policy: What Do the Models Tell Us? Cambridge, MA: National Bureau of Economic Research, July 2013. http://dx.doi.org/10.3386/w19244.
Full textHofmockel, Kirsten, and Erik Hobbie. Can Microbial Ecology and Mycorrhizal Functioning Inform Climate Change Models? Office of Scientific and Technical Information (OSTI), July 2017. http://dx.doi.org/10.2172/1427520.
Full textConstantine, Paul, Richard V. ,. Jr Field, and Mark Bruce Elrick Boslough. Statistical surrogate models for prediction of high-consequence climate change. Office of Scientific and Technical Information (OSTI), September 2011. http://dx.doi.org/10.2172/1029816.
Full textRíos Flores, Ramiro Alberto, Alejandro Pablo Taddia, Alfred Grunwaldt, Russel Jones, and Richard Streeter. Climate Change Projections in Latin America and the Caribbean: Review of Existing Regional Climate Models' Outputs. Inter-American Development Bank, July 2016. http://dx.doi.org/10.18235/0000375.
Full textWang, S. Assessment of climate change impact on ecosystem through developing advanced ecosystem models. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2012. http://dx.doi.org/10.4095/290190.
Full textAlves, Denisard, Paula C. Pereda, and Tatiane A. de Menezes. Climate Change Impacts on Birth Outcomes in Brazil. Inter-American Development Bank, April 2014. http://dx.doi.org/10.18235/0011630.
Full textMelillo, J. M., Terese (T C. ). Richmond, and G. W. Yohe, eds. Appendix 5: Scenarios and Models. Climate Change Impacts in the United States: The Third National Climate Assessment. U.S. Global Change Research Program, 2014. http://dx.doi.org/10.7930/j0b85625.
Full textGhil, M., S. Kravtsov, A. W. Robertson, and P. Smyth. Studies of regional-scale climate variability and change. Hidden Markov models and coupled ocean-atmosphere modes. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/940218.
Full textKandlikar, Milind. Reconciling uncertainties in integrated science and policy models: Applications to global climate change. Office of Scientific and Technical Information (OSTI), December 1994. http://dx.doi.org/10.2172/464182.
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