Literatura científica selecionada sobre o tema "Decadal prediction"
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Artigos de revistas sobre o assunto "Decadal prediction"
Meehl, Gerald A., Lisa Goddard, James Murphy, Ronald J. Stouffer, George Boer, Gokhan Danabasoglu, Keith Dixon et al. "Decadal Prediction". Bulletin of the American Meteorological Society 90, n.º 10 (outubro de 2009): 1467–86. http://dx.doi.org/10.1175/2009bams2778.1.
Texto completo da fonteHaines, Keith, Leon Hermanson, Chunlei Liu, Debbie Putt, Rowan Sutton, Alan Iwi e Doug Smith. "Decadal climate prediction (project GCEP)". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, n.º 1890 (16 de dezembro de 2008): 925–37. http://dx.doi.org/10.1098/rsta.2008.0178.
Texto completo da fonteMeehl, Gerald A., Lisa Goddard, George Boer, Robert Burgman, Grant Branstator, Christophe Cassou, Susanna Corti et al. "Decadal Climate Prediction: An Update from the Trenches". Bulletin of the American Meteorological Society 95, n.º 2 (1 de fevereiro de 2014): 243–67. http://dx.doi.org/10.1175/bams-d-12-00241.1.
Texto completo da fonteMieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe e C. Kottmeier. "The regional MiKlip decadal forecast ensemble for Europe: the added value of downscaling". Geoscientific Model Development 7, n.º 6 (17 de dezembro de 2014): 2983–99. http://dx.doi.org/10.5194/gmd-7-2983-2014.
Texto completo da fonteMieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe e C. Kottmeier. "The regional MiKlip decadal forecast ensemble for Europe". Geoscientific Model Development Discussions 6, n.º 4 (22 de novembro de 2013): 5711–45. http://dx.doi.org/10.5194/gmdd-6-5711-2013.
Texto completo da fonteMeehl, Gerald A., Aixue Hu e Claudia Tebaldi. "Decadal Prediction in the Pacific Region". Journal of Climate 23, n.º 11 (1 de junho de 2010): 2959–73. http://dx.doi.org/10.1175/2010jcli3296.1.
Texto completo da fonteKnight, Jeff R., Martin B. Andrews, Doug M. Smith, Alberto Arribas, Andrew W. Colman, Nick J. Dunstone, Rosie Eade et al. "Predictions of Climate Several Years Ahead Using an Improved Decadal Prediction System". Journal of Climate 27, n.º 20 (7 de outubro de 2014): 7550–67. http://dx.doi.org/10.1175/jcli-d-14-00069.1.
Texto completo da fonteTowler, Erin, Debasish PaiMazumder e James Done. "Toward the Application of Decadal Climate Predictions". Journal of Applied Meteorology and Climatology 57, n.º 3 (março de 2018): 555–68. http://dx.doi.org/10.1175/jamc-d-17-0113.1.
Texto completo da fonteLi, Hongmei, Tatiana Ilyina, Tammas Loughran, Aaron Spring e Julia Pongratz. "Reconstructions and predictions of the global carbon budget with an emission-driven Earth system model". Earth System Dynamics 14, n.º 1 (1 de fevereiro de 2023): 101–19. http://dx.doi.org/10.5194/esd-14-101-2023.
Texto completo da fonteGaetani, Marco, e Elsa Mohino. "Decadal Prediction of the Sahelian Precipitation in CMIP5 Simulations". Journal of Climate 26, n.º 19 (24 de setembro de 2013): 7708–19. http://dx.doi.org/10.1175/jcli-d-12-00635.1.
Texto completo da fonteTeses / dissertações sobre o assunto "Decadal prediction"
Robson, Jonathan Ian. "Understanding the performance of a decadal prediction system". Thesis, University of Reading, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.529958.
Texto completo da fonteHossain, Md Monowar. "CMIP5 Decadal Precipitation at Catchment Level and Its Implication to Future Prediction". Thesis, Curtin University, 2022. http://hdl.handle.net/20.500.11937/89149.
Texto completo da fonteKaleem, Muhammad [Verfasser]. "A sensitivity study of decadal climate prediction to aerosol variability using Echam6-HAM (GCM) / Muhammad Kaleem". Bonn : Universitäts- und Landesbibliothek Bonn, 2016. http://d-nb.info/1124540237/34.
Texto completo da fonteLiu, Xueyuan [Verfasser], e Detlef [Akademischer Betreuer] Stammer. "Impact of Consistency between the Climate Model and its Initial Conditions on Decadal Climate Prediction / Xueyuan Liu. Betreuer: Detlef Stammer". Hamburg : Staats- und Universitätsbibliothek Hamburg, 2015. http://d-nb.info/1069376671/34.
Texto completo da fonteWard, Neil M. "Tropical North African rainfall and worldwide monthly to multi-decadal climate variations : directed towards the development of a corrected ship wind dataset, and improved diagnosis, understanding and prediction of North African rainfall". Thesis, University of Reading, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.385252.
Texto completo da fonteNdiaye, Cassien Diabe. "Attribution et prévision des modulations de la mousson ouest-africaine à l’échelle de temps décennale". Electronic Thesis or Diss., Sorbonne université, 2023. http://www.theses.fr/2023SORUS327.
Texto completo da fonteIn West Africa, rainfall during the summer period (July, August and September) has shown strong modulations on decadal time scales during the 20th century. In particular, there was a very wet period in the 1960s followed by a drought in the 1980s and a recovery of rainfall in the 2000s. These modulations have major regional socio-economic consequences. Considered as one of the most important signals of climate change in Africa, they have been the subject of numerous studies in order to understand their origin(s) and to anticipate future changes. These modulations have long been associated with the internal variability of the climate system and in particular with the role of the surface temperature of the Atlantic Ocean. However, recent studies show a significant contribution of external forcings, notably greenhouse gases and anthropogenic aerosols, in particular during the second half of the 20th century, either via Atlantic Ocean surface temperatures or via direct radiative forcing. In all cases, the link with ocean surface temperatures offers prospects for predicting these precipitation modulations. Decadal climate forecasts, i.e. with a 5-30 year time horizon, have been developed to exploit this source of predictability. They are potentially very important for economic and structural planning in West Africa. In this thesis, we propose to attribute, first, the decadal modulations of Sahel rainfall over the time period of 1901-2014. Secondly, we propose to evaluate the prediction of rainfall in West Africa on the decadal time scale over the period 1968-2012. All this study is carried out through the diagnosis of climate simulations carried out from models contributing to the phase 6 of the coupled models intercomparison project. Since coupled models commonly underestimate the maximum rainfall in the Sahel region during the summer period, we first proposed an adaptive rainfall domain for the Sahel. Our results from the first part of this thesis show that external forcings, in particular anthropogenic aerosols, contribute significantly to the timing of decadal modulations of Sahel rainfall. These aerosols indeed modulate the ocean surface temperature which is translated into precipitation modulations in the Sahel by the displacement of the intertropical convergence zone and the Saharan Heat Low. The second part of this thesis focuses on the predictability of precipitation on decadal time scales in West Africa and in particular in the Sahel. Our results show that rainfall is predictable in the Sahel in 5⁄8 of the models studied at lead times between 1 and 10 years. However, only 3 of these 5 models simulate a decadal signal combined with a realistic total variance (signal-to-noise ratio close to 1) at these lead times. The multi-model mean is generally more predictable than the majority of individual models. Initialization of climate variables improves Sahel rainfall prediction skills for the multi-model mean and 3⁄5 of the models showing predictability and forecast reliability for a single model. This relatively small impact corroborates the importance of external forcings inferred from the first part of this thesis. In conclusion, our results suggest that anthropogenic effects on climate become major factors in explaining decadal modulations of mean monsoon rainfall in the Sahel. In perspective, these modulations are associated, during the 20th century, with extreme rainfall events that have become frequent nowadays. It would be interesting to ask whether these extreme events are predictable in West Africa on decadal time scales
Kruschke, Tim [Verfasser]. "Winter wind storms : Identifcation, verifcation of decadal predictions, and regionalization / Tim Kruschke". Berlin : Freie Universität Berlin, 2015. http://d-nb.info/107549334X/34.
Texto completo da fonteStolzenberger, Sophie [Verfasser]. "On the probabilistic evaluation of decadal and paleoclimate model predictions / Sophie Stolzenberger". Bonn : Universitäts- und Landesbibliothek Bonn, 2017. http://d-nb.info/1149154012/34.
Texto completo da fonteUhlig, Marianne [Verfasser], e C. [Akademischer Betreuer] Kottmeier. "Regional decadal climate predictions for Europe – Feasibility & Skill / Marianne Uhlig ; Betreuer: C. Kottmeier". Karlsruhe : KIT-Bibliothek, 2016. http://d-nb.info/1132996732/34.
Texto completo da fonteKadow, Christopher [Verfasser]. "Improving decadal climate predictions by ocean ensemble dispersion filtering and an efficient systematic evaluation / Christopher Kadow". Berlin : Freie Universität Berlin, 2019. http://d-nb.info/1178424464/34.
Texto completo da fonteLivros sobre o assunto "Decadal prediction"
United Way of America. Strategic Planning Division., ed. What lies ahead--a mid-decade view: An environmental scan report. Alexandria, Va. (701 N. Fairfax St., Alexandria 22314-2045): United Way of America, Strategic Planning Division, 1985.
Encontre o texto completo da fonteLaermer, Richard. 2011: Trendspotting for the next decade. New York: McGraw-Hill, 2008.
Encontre o texto completo da fonte2011: Trendspotting for the next decade. New York: McGraw-Hill, 2008.
Encontre o texto completo da fonteT, Anderson D. L., ed. The TOGA decade: Reviewing the progress of El Niño research and prediction. Washington DC: American Geophysical Union, 1998.
Encontre o texto completo da fonteW, Willingham Warren, Angoff William 1919-, College Entrance Examination Board e Educational Testing Service, eds. Predicting college grades: An analysis of institutional trends over two decades. [Princeton, N.J.]: Educational Testing Service, 1990.
Encontre o texto completo da fonteNamita, Bhandare, ed. Vision 2020 challenges for the next decade: Hindustan Times Leadership Summit. New Delhi: Roli Books, 2010.
Encontre o texto completo da fonteV, Sawhill Isabel, ed. Challenge to leadership: Economic and social issues for the next decade. Washington, D.C: Urban Institute Press, 1988.
Encontre o texto completo da fontePayne, Mark R., Alistair J. Hobday, Brian R. MacKenzie e Desiree Tommasi, eds. Seasonal to Decadal Prediction of Marine Ecosystems: Opportunities, Approaches, and Applications. Frontiers Media SA, 2019. http://dx.doi.org/10.3389/978-2-88945-881-3.
Texto completo da fonteSeasonal-to-Decadal Predictions of Arctic Sea Ice. Washington, D.C.: National Academies Press, 2012. http://dx.doi.org/10.17226/13515.
Texto completo da fonteSeasonal-To-Decadal Predictions of Arctic Sea Ice: Challenges and Strategies. National Academies Press, 2012.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Decadal prediction"
Alves, Oscar, Debra Hudson, Magdalena Balmaseda e Li Shi. "Seasonal and Decadal Prediction". In Operational Oceanography in the 21st Century, 513–42. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0332-2_20.
Texto completo da fonteWu, Bo, e Bin Wang. "Decadal Climate Prediction of FGOALS". In Flexible Global Ocean-Atmosphere-Land System Model, 233–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41801-3_28.
Texto completo da fonteMamalakis, Antonios, Imme Ebert-Uphoff e Elizabeth A. Barnes. "Explainable Artificial Intelligence in Meteorology and Climate Science: Model Fine-Tuning, Calibrating Trust and Learning New Science". In xxAI - Beyond Explainable AI, 315–39. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04083-2_16.
Texto completo da fonteSeager, Richard, Alicia R. Karspeck, Mark A. Cane, Yochanan Kushnir, Alessandra Giannini, Alexey Kaplan, Ben Kerman e Jennifer Velez. "Predicting Pacific Decadal Variability". In Earth's Climate, 105–20. Washington, D. C.: American Geophysical Union, 2013. http://dx.doi.org/10.1029/147gm06.
Texto completo da fonteGoddard, Lisa. "Climate Predictions, Seasonal-to-Decadal". In Encyclopedia of Sustainability Science and Technology, 2119–48. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_368.
Texto completo da fonteGoddard, Lisa. "Climate Predictions, Seasonal-to-Decadal". In Climate Change Modeling Methodology, 261–301. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5767-1_11.
Texto completo da fontePanitz, H. J., G. Schädler, M. Breil, S. Mieruch, H. Feldmann, K. Sedlmeier, N. Laube e M. Uhlig. "Application of the Regional Climate Model CCLM for Studies on Urban Climate Change in Stuttgart and Decadal Climate Prediction in Europe and Africa". In High Performance Computing in Science and Engineering ´15, 593–606. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24633-8_38.
Texto completo da fonteKirtman, Ben, David Anderson, Gilbert Brunet, In-Sik Kang, Adam A. Scaife e Doug Smith. "Prediction from Weeks to Decades". In Climate Science for Serving Society, 205–35. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6692-1_8.
Texto completo da fonteDemortain, David. "The Digitalisation of Risk Assessment: Fulfilling the Promises of Prediction?" In Safety in the Digital Age, 11–19. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32633-2_2.
Texto completo da fonteWong, Peter Kok-Yiu, Chin Pok Lam, Yin Ni Lee, Chung Lam Ting, Jack C. P. Cheng e Pak Him Leung. "Predictive Safety Monitoring for Lifting Operations with Vision-Based Crane-Worker Conflict Prediction". In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality, 648–56. Florence: Firenze University Press, 2023. http://dx.doi.org/10.36253/10.36253/979-12-215-0289-3.64.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Decadal prediction"
Hurrell, J,W,, J,W, Hurrell, J,W, Hurrell, J,W, Hurrell, J,W, Hurrell, J,W, Hurrell, J,W, Hurrell et al. "Decadal Climate Prediction: Opportunities and Challenges". In OceanObs'09: Sustained Ocean Observations and Information for Society. European Space Agency, 2010. http://dx.doi.org/10.5270/oceanobs09.cwp.45.
Texto completo da fonteHurrell, J. W., M. Latif, M. Visbeck, T. L. Delworth, G. Danabasoglu, D. Dommenget, H. Drange et al. "Decadal Climate Variability, Predictability and Prediction: Opportunities and Challenges". In OceanObs'09: Sustained Ocean Observations and Information for Society. European Space Agency, 2010. http://dx.doi.org/10.5270/oceanobs09.pp.23.
Texto completo da fonteLatif, Mojib, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif e Mojib Latif. "Dynamics of Decadal Climate Variability and Implications for its Prediction". In OceanObs'09: Sustained Ocean Observations and Information for Society. European Space Agency, 2010. http://dx.doi.org/10.5270/oceanobs09.cwp.53.
Texto completo da fonteChaudhary, Niharika, e Sanjay Saini. "A Progress on Protein Structure Prediction using Various Soft Computing Techniques". In 9th International Conference on Computer Science and Information Technology (CSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121410.
Texto completo da fonteRosa-Cánovas, Juan José, Matilde García-Valdecasas Ojeda, Emilio Romero-Jiménez, Patricio Yeste, César Quishpe-Vásquez, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez e María Jesús Esteban-Parra. "Assessing The Predictive Skill Of Drought With High-Resolution Decadal Climate Predictions In The Iberian Peninsula". In Proceedings of the 39th IAHR World Congress From Snow to Sea. Spain: International Association for Hydro-Environment Engineering and Research (IAHR), 2022. http://dx.doi.org/10.3850/iahr-39wc252171192022929.
Texto completo da fonteKolla, Srinivas Swaroop, Ram S. Mohan e Ovadia Shoham. "Mechanistic Modeling of Liquid Carry-Over for 3-Phase Flow in GLCC© Compact Separators". In ASME 2018 5th Joint US-European Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/fedsm2018-83407.
Texto completo da fonteToro Ortiz, Yenny Marcela, Sonia Raquel Gámiz-Fortis, Yolanda Castro-Díez, Reiner Palomino-Lemus, María Jesús Esteban-Parra e Samir Córdoba-Machado. "High-resolution decadal predictions analysis of drought events in Colombia". In Proceedings of the 39th IAHR World Congress From Snow to Sea. Spain: International Association for Hydro-Environment Engineering and Research (IAHR), 2022. http://dx.doi.org/10.3850/iahr-39wc2521711920221413.
Texto completo da fonteNICHOLLS, ROBERT J., JON FRENCH, HELENE BURNINGHAM, BAREND VAN MAANEN, ANDRES PAYO, JAMES SUTHERLAND, MIKE WALKDEN et al. "IMPROVING DECADAL COASTAL GEOMORPHIC PREDICTIONS: AN OVERVIEW OF THE iCOASST PROJECT". In Coastal Sediments 2015. WORLD SCIENTIFIC, 2015. http://dx.doi.org/10.1142/9789814689977_0227.
Texto completo da fonteKaminsky, George M., Maarten C. Buijsman e Peter Ruggiero. "Predicting Shoreline Change at Decadal Scale in the Pacific Northwest, USA". In 27th International Conference on Coastal Engineering (ICCE). Reston, VA: American Society of Civil Engineers, 2001. http://dx.doi.org/10.1061/40549(276)188.
Texto completo da fonteHu, Bin, Yong Huang, Fang Wang e Fa Xie. "Numerical Simulation of Cold Flow Field of Aero-Engine Combustors for Lean Blow Off Analysis". In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-45467.
Texto completo da fonteRelatórios de organizações sobre o assunto "Decadal prediction"
Ghil, Michael, Andrew W. Robertson, Edward R. Cook, Rosanne D’Arrigo, Upmanu Lall e Padhraic J. Smyth. Decadal Prediction and Stochastic Simulation of Hydroclimate Over Monsoonal Asia. Office of Scientific and Technical Information (OSTI), janeiro de 2015. http://dx.doi.org/10.2172/1168586.
Texto completo da fonteMcClean, Julie L. Towards a Fine-Resolution Global Coupled Climate System for Prediction on Decadal/Centennial Scales. Office of Scientific and Technical Information (OSTI), novembro de 2013. http://dx.doi.org/10.2172/1105025.
Texto completo da fonteSmyth, Padhraic. Final technical report for Decadal Prediction and Stochastic Simulation of Hydroclimate over Monsoonal Asia. Office of Scientific and Technical Information (OSTI), março de 2016. http://dx.doi.org/10.2172/1241554.
Texto completo da fonteBranstator, Grant. Initial value predictability of intrinsic oceanic modes and implications for decadal prediction over North America. Office of Scientific and Technical Information (OSTI), dezembro de 2014. http://dx.doi.org/10.2172/1165163.
Texto completo da fonteGutowski, William J. Collaborative Research: Improving Decadal Prediction of Arctic Climate Variability and Change Using a Regional Arctic. Office of Scientific and Technical Information (OSTI), dezembro de 2017. http://dx.doi.org/10.2172/1415029.
Texto completo da fonteLiu, Zhengyu, J. Kutzbach, R. Jacob e C. Prentice. Towards the Prediction of Decadal to Centennial Climate Processes in the Coupled Earth System Model. Office of Scientific and Technical Information (OSTI), dezembro de 2011. http://dx.doi.org/10.2172/1030607.
Texto completo da fonteKatzenberger, John. Aspen Global Change Institute (AGCI) Interdisciplinary Science Workshop: Decadal Climate Prediction; Aspen, CO; June 22-28, 2008. Office of Scientific and Technical Information (OSTI), março de 2010. http://dx.doi.org/10.2172/1130064.
Texto completo da fonteMao, Jiafu, Yaoping Wang, Daniel Ricciuto, Salil Mahajan, Forrest Hoffman, Xiaoyoing Shi e Giri Prakash. AI-Based Integrated Modeling and Observational Framework for Improving Seasonal to Decadal Prediction of Terrestrial Ecohydrological Extremes. Office of Scientific and Technical Information (OSTI), abril de 2021. http://dx.doi.org/10.2172/1769666.
Texto completo da fonteHoffman, Forrest, Jitendra Kumar, Zheng Shi, Anthony Walker, Jiafu Mao, Yaoping Wang, Abigail Swann et al. AI-Constrained Bottom-Up Ecohydrology and Improved Prediction of Seasonal, Interannual, and Decadal Flood and Drought Risks. Office of Scientific and Technical Information (OSTI), abril de 2021. http://dx.doi.org/10.2172/1769668.
Texto completo da fonteMaslowski, Wieslaw, John J. Cassano, William J. Gutowski, Jr., William H. Lipscomb, Bart Nijssen, Andrew Roberts, William Robertson, Slawek Tulaczyk e Xubin Zeng. Collaborative Proposal: Improving Decadal Prediction of Arctic Climate Variability and Change Using a Regional Arctic System Model (RASM). Office of Scientific and Technical Information (OSTI), maio de 2011. http://dx.doi.org/10.2172/1329071.
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