Auswahl der wissenschaftlichen Literatur zum Thema „Decadal prediction“
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Zeitschriftenartikel zum Thema "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, Nr. 10 (Oktober 2009): 1467–86. http://dx.doi.org/10.1175/2009bams2778.1.
Der volle Inhalt der QuelleHaines, Keith, Leon Hermanson, Chunlei Liu, Debbie Putt, Rowan Sutton, Alan Iwi und Doug Smith. „Decadal climate prediction (project GCEP)“. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, Nr. 1890 (16.12.2008): 925–37. http://dx.doi.org/10.1098/rsta.2008.0178.
Der volle Inhalt der QuelleMeehl, 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, Nr. 2 (01.02.2014): 243–67. http://dx.doi.org/10.1175/bams-d-12-00241.1.
Der volle Inhalt der QuelleMieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe und C. Kottmeier. „The regional MiKlip decadal forecast ensemble for Europe: the added value of downscaling“. Geoscientific Model Development 7, Nr. 6 (17.12.2014): 2983–99. http://dx.doi.org/10.5194/gmd-7-2983-2014.
Der volle Inhalt der QuelleMieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe und C. Kottmeier. „The regional MiKlip decadal forecast ensemble for Europe“. Geoscientific Model Development Discussions 6, Nr. 4 (22.11.2013): 5711–45. http://dx.doi.org/10.5194/gmdd-6-5711-2013.
Der volle Inhalt der QuelleMeehl, Gerald A., Aixue Hu und Claudia Tebaldi. „Decadal Prediction in the Pacific Region“. Journal of Climate 23, Nr. 11 (01.06.2010): 2959–73. http://dx.doi.org/10.1175/2010jcli3296.1.
Der volle Inhalt der QuelleKnight, 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, Nr. 20 (07.10.2014): 7550–67. http://dx.doi.org/10.1175/jcli-d-14-00069.1.
Der volle Inhalt der QuelleTowler, Erin, Debasish PaiMazumder und James Done. „Toward the Application of Decadal Climate Predictions“. Journal of Applied Meteorology and Climatology 57, Nr. 3 (März 2018): 555–68. http://dx.doi.org/10.1175/jamc-d-17-0113.1.
Der volle Inhalt der QuelleLi, Hongmei, Tatiana Ilyina, Tammas Loughran, Aaron Spring und Julia Pongratz. „Reconstructions and predictions of the global carbon budget with an emission-driven Earth system model“. Earth System Dynamics 14, Nr. 1 (01.02.2023): 101–19. http://dx.doi.org/10.5194/esd-14-101-2023.
Der volle Inhalt der QuelleGaetani, Marco, und Elsa Mohino. „Decadal Prediction of the Sahelian Precipitation in CMIP5 Simulations“. Journal of Climate 26, Nr. 19 (24.09.2013): 7708–19. http://dx.doi.org/10.1175/jcli-d-12-00635.1.
Der volle Inhalt der QuelleDissertationen zum Thema "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.
Der volle Inhalt der QuelleHossain, 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.
Der volle Inhalt der QuelleKaleem, 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.
Der volle Inhalt der QuelleLiu, Xueyuan [Verfasser], und 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.
Der volle Inhalt der QuelleWard, 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.
Der volle Inhalt der QuelleNdiaye, 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.
Der volle Inhalt der QuelleIn 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.
Der volle Inhalt der QuelleStolzenberger, 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.
Der volle Inhalt der QuelleUhlig, Marianne [Verfasser], und 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.
Der volle Inhalt der QuelleKadow, 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.
Der volle Inhalt der QuelleBücher zum Thema "Decadal prediction"
United Way of America. Strategic Planning Division., Hrsg. 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.
Den vollen Inhalt der Quelle findenLaermer, Richard. 2011: Trendspotting for the next decade. New York: McGraw-Hill, 2008.
Den vollen Inhalt der Quelle finden2011: Trendspotting for the next decade. New York: McGraw-Hill, 2008.
Den vollen Inhalt der Quelle findenT, Anderson D. L., Hrsg. The TOGA decade: Reviewing the progress of El Niño research and prediction. Washington DC: American Geophysical Union, 1998.
Den vollen Inhalt der Quelle findenW, Willingham Warren, Angoff William 1919-, College Entrance Examination Board und Educational Testing Service, Hrsg. Predicting college grades: An analysis of institutional trends over two decades. [Princeton, N.J.]: Educational Testing Service, 1990.
Den vollen Inhalt der Quelle findenNamita, Bhandare, Hrsg. Vision 2020 challenges for the next decade: Hindustan Times Leadership Summit. New Delhi: Roli Books, 2010.
Den vollen Inhalt der Quelle findenV, Sawhill Isabel, Hrsg. Challenge to leadership: Economic and social issues for the next decade. Washington, D.C: Urban Institute Press, 1988.
Den vollen Inhalt der Quelle findenPayne, Mark R., Alistair J. Hobday, Brian R. MacKenzie und Desiree Tommasi, Hrsg. 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.
Der volle Inhalt der QuelleSeasonal-to-Decadal Predictions of Arctic Sea Ice. Washington, D.C.: National Academies Press, 2012. http://dx.doi.org/10.17226/13515.
Der volle Inhalt der QuelleSeasonal-To-Decadal Predictions of Arctic Sea Ice: Challenges and Strategies. National Academies Press, 2012.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "Decadal prediction"
Alves, Oscar, Debra Hudson, Magdalena Balmaseda und 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.
Der volle Inhalt der QuelleWu, Bo, und 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.
Der volle Inhalt der QuelleMamalakis, Antonios, Imme Ebert-Uphoff und 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.
Der volle Inhalt der QuelleSeager, Richard, Alicia R. Karspeck, Mark A. Cane, Yochanan Kushnir, Alessandra Giannini, Alexey Kaplan, Ben Kerman und 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.
Der volle Inhalt der QuelleGoddard, 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.
Der volle Inhalt der QuelleGoddard, 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.
Der volle Inhalt der QuellePanitz, H. J., G. Schädler, M. Breil, S. Mieruch, H. Feldmann, K. Sedlmeier, N. Laube und 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.
Der volle Inhalt der QuelleKirtman, Ben, David Anderson, Gilbert Brunet, In-Sik Kang, Adam A. Scaife und 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.
Der volle Inhalt der QuelleDemortain, 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.
Der volle Inhalt der QuelleWong, Peter Kok-Yiu, Chin Pok Lam, Yin Ni Lee, Chung Lam Ting, Jack C. P. Cheng und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "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.
Der volle Inhalt der QuelleHurrell, 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.
Der volle Inhalt der QuelleLatif, Mojib, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif, Mojib Latif und 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.
Der volle Inhalt der QuelleChaudhary, Niharika, und 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.
Der volle Inhalt der QuelleRosa-Cánovas, Juan José, Matilde García-Valdecasas Ojeda, Emilio Romero-Jiménez, Patricio Yeste, César Quishpe-Vásquez, Sonia R. Gámiz-Fortis, Yolanda Castro-Díez und 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.
Der volle Inhalt der QuelleKolla, Srinivas Swaroop, Ram S. Mohan und 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.
Der volle Inhalt der QuelleToro Ortiz, Yenny Marcela, Sonia Raquel Gámiz-Fortis, Yolanda Castro-Díez, Reiner Palomino-Lemus, María Jesús Esteban-Parra und 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.
Der volle Inhalt der QuelleNICHOLLS, 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.
Der volle Inhalt der QuelleKaminsky, George M., Maarten C. Buijsman und 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.
Der volle Inhalt der QuelleHu, Bin, Yong Huang, Fang Wang und 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Decadal prediction"
Ghil, Michael, Andrew W. Robertson, Edward R. Cook, Rosanne D’Arrigo, Upmanu Lall und Padhraic J. Smyth. Decadal Prediction and Stochastic Simulation of Hydroclimate Over Monsoonal Asia. Office of Scientific and Technical Information (OSTI), Januar 2015. http://dx.doi.org/10.2172/1168586.
Der volle Inhalt der QuelleMcClean, Julie L. Towards a Fine-Resolution Global Coupled Climate System for Prediction on Decadal/Centennial Scales. Office of Scientific and Technical Information (OSTI), November 2013. http://dx.doi.org/10.2172/1105025.
Der volle Inhalt der QuelleSmyth, Padhraic. Final technical report for Decadal Prediction and Stochastic Simulation of Hydroclimate over Monsoonal Asia. Office of Scientific and Technical Information (OSTI), März 2016. http://dx.doi.org/10.2172/1241554.
Der volle Inhalt der QuelleBranstator, Grant. Initial value predictability of intrinsic oceanic modes and implications for decadal prediction over North America. Office of Scientific and Technical Information (OSTI), Dezember 2014. http://dx.doi.org/10.2172/1165163.
Der volle Inhalt der QuelleGutowski, William J. Collaborative Research: Improving Decadal Prediction of Arctic Climate Variability and Change Using a Regional Arctic. Office of Scientific and Technical Information (OSTI), Dezember 2017. http://dx.doi.org/10.2172/1415029.
Der volle Inhalt der QuelleLiu, Zhengyu, J. Kutzbach, R. Jacob und C. Prentice. Towards the Prediction of Decadal to Centennial Climate Processes in the Coupled Earth System Model. Office of Scientific and Technical Information (OSTI), Dezember 2011. http://dx.doi.org/10.2172/1030607.
Der volle Inhalt der QuelleKatzenberger, 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), März 2010. http://dx.doi.org/10.2172/1130064.
Der volle Inhalt der QuelleMao, Jiafu, Yaoping Wang, Daniel Ricciuto, Salil Mahajan, Forrest Hoffman, Xiaoyoing Shi und 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), April 2021. http://dx.doi.org/10.2172/1769666.
Der volle Inhalt der QuelleHoffman, 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), April 2021. http://dx.doi.org/10.2172/1769668.
Der volle Inhalt der QuelleMaslowski, Wieslaw, John J. Cassano, William J. Gutowski, Jr., William H. Lipscomb, Bart Nijssen, Andrew Roberts, William Robertson, Slawek Tulaczyk und 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), Mai 2011. http://dx.doi.org/10.2172/1329071.
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