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Relevant bibliographies by topics / Decadal climate prediction

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Academic literature on the topic 'Decadal climate prediction'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Decadal climate prediction"

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Haines, Keith, Leon Hermanson, Chunlei Liu, et al. "Decadal climate prediction (project GCEP)." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367, no. 1890 (2008): 925–37. http://dx.doi.org/10.1098/rsta.2008.0178.

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Decadal prediction uses climate models forced by changing greenhouse gases, as in the International Panel for Climate Change, but unlike longer range predictions they also require initialization with observations of the current climate. In particular, the upper-ocean heat content and circulation have a critical influence. Decadal prediction is still in its infancy and there is an urgent need to understand the important processes that determine predictability on these timescales. We have taken the first Hadley Centre Decadal Prediction System (DePreSys) and implemented it on several NERC instit

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Keenlyside, Noel S., and Jin Ba. "Prospects for decadal climate prediction." Wiley Interdisciplinary Reviews: Climate Change 1, no. 5 (2010): 627–35. http://dx.doi.org/10.1002/wcc.69.

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Meehl, Gerald A., Lisa Goddard, George Boer, et al. "Decadal Climate Prediction: An Update from the Trenches." Bulletin of the American Meteorological Society 95, no. 2 (2014): 243–67. http://dx.doi.org/10.1175/bams-d-12-00241.1.

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This paper provides an update on research in the relatively new and fast-moving field of decadal climate prediction, and addresses the use of decadal climate predictions not only for potential users of such information but also for improving our understanding of processes in the climate system. External forcing influences the predictions throughout, but their contributions to predictive skill become dominant after most of the improved skill from initialization with observations vanishes after about 6–9 years. Recent multimodel results suggest that there is relatively more decadal predictive sk

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Towler, Erin, Debasish PaiMazumder, and James Done. "Toward the Application of Decadal Climate Predictions." Journal of Applied Meteorology and Climatology 57, no. 3 (2018): 555–68. http://dx.doi.org/10.1175/jamc-d-17-0113.1.

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AbstractDecadal prediction is a relatively new branch of climate science that bridges the gap between seasonal climate forecasts and multidecadal-to-century projections of climate change. This paper develops a three-step framework toward the potential application of decadal temperature predictions using the Community Climate System Model, version 4 (CCSM4). In step 1, the predictions are evaluated and it is found that the temperature hindcasts show skill over some regions of the United States and Canada. In step 2, the predictions are manipulated using two methods: a deterministic-anomaly appr

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Polkova, Iuliia, Armin Köhl, and Detlef Stammer. "Climate-mode initialization for decadal climate predictions." Climate Dynamics 53, no. 11 (2019): 7097–111. http://dx.doi.org/10.1007/s00382-019-04975-y.

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Abstract In the context of decadal climate predictions, a climate-mode initialization method is being tested by which ocean ORAS4 reanalysis is projected onto dominant modes of variability of the Earth System Model from the Max Planck Institute for Meteorology (MPI-ESM). The method aims to improve the prediction skill of the model by filtering out dynamically unbalanced noise during the initialization step. Used climate modes are calculated as statistical 3-D modes based on the bivariate empirical orthogonal function (EOF) analysis applied to temperature and salinity anomalies from an ensemble

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Boer, George J., Douglas M. Smith, Christophe Cassou, et al. "The Decadal Climate Prediction Project (DCPP) contribution to CMIP6." Geoscientific Model Development 9, no. 10 (2016): 3751–77. http://dx.doi.org/10.5194/gmd-9-3751-2016.

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Abstract. The Decadal Climate Prediction Project (DCPP) is a coordinated multi-model investigation into decadal climate prediction, predictability, and variability. The DCPP makes use of past experience in simulating and predicting decadal variability and forced climate change gained from the fifth Coupled Model Intercomparison Project (CMIP5) and elsewhere. It builds on recent improvements in models, in the reanalysis of climate data, in methods of initialization and ensemble generation, and in data treatment and analysis to propose an extended comprehensive decadal prediction investigation a

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Mieruch, S., H. Feldmann, G. Schädler, C. J. Lenz, S. Kothe, and C. Kottmeier. "The regional MiKlip decadal forecast ensemble for Europe: the added value of downscaling." Geoscientific Model Development 7, no. 6 (2014): 2983–99. http://dx.doi.org/10.5194/gmd-7-2983-2014.

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Abstract. The prediction of climate on time scales of years to decades is attracting the interest of both climate researchers and stakeholders. The German Ministry for Education and Research (BMBF) has launched a major research programme on decadal climate prediction called MiKlip (Mittelfristige Klimaprognosen, Decadal Climate Prediction) in order to investigate the prediction potential of global and regional climate models (RCMs). In this paper we describe a regional predictive hindcast ensemble, its validation, and the added value of regional downscaling. Global predictions are obtained fro

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Dunstone, Nick, Julia Lockwood, Balakrishnan Solaraju-Murali, et al. "Towards Useful Decadal Climate Services." Bulletin of the American Meteorological Society 103, no. 7 (2022): E1705—E1719. http://dx.doi.org/10.1175/bams-d-21-0190.1.

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Abstract The decadal time scale (∼1–10 years) bridges the gap between seasonal predictions and longer-term climate projections. It is a key planning time scale for users in many sectors as they seek to adapt to our rapidly changing climate. While significant advances in using initialized climate models to make skillful decadal predictions have been made in the last decades, including coordinated international experiments and multimodel forecast exchanges, few user-focused decadal climate services have been developed. Here we highlight the potential of decadal climate services using four case s

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Hurrell, James. "Decadal climate prediction: Challenges and opportunities." IOP Conference Series: Earth and Environmental Science 6, no. 2 (2009): 022001. http://dx.doi.org/10.1088/1755-1307/6/2/022001.

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Knight, Jeff R., Martin B. Andrews, Doug M. Smith, et al. "Predictions of Climate Several Years Ahead Using an Improved Decadal Prediction System." Journal of Climate 27, no. 20 (2014): 7550–67. http://dx.doi.org/10.1175/jcli-d-14-00069.1.

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Abstract Decadal climate predictions are now established as a source of information on future climate alongside longer-term climate projections. This information has the potential to provide key evidence for decisions on climate change adaptation, especially at regional scales. Its importance implies that following the creation of an initial generation of decadal prediction systems, a process of continual development is needed to produce successive versions with better predictive skill. Here, a new version of the Met Office Hadley Centre Decadal Prediction System (DePreSys 2) is introduced, wh

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Dissertations / Theses on the topic "Decadal climate prediction"

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Liu, Xueyuan [Verfasser], and 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.

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Kaleem, 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.

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Ward, 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.

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Uhlig, Marianne [Verfasser], and 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.

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Kadow, 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.

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Borchert, Leonard Friedrich [Verfasser], and Johanna [Akademischer Betreuer] Baehr. "Decadal Climate Predictions in the North Atlantic Region : The Role of Ocean Heat Transport / Leonard Friedrich Borchert ; Betreuer: Johanna Baehr." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2018. http://d-nb.info/1165227746/34.

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Galeotti, Chiara. "Multi-annual predictability of the Atlantic Meridional Overturning Circulation." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/23508/.

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Decadal climate predictions have the main feature of being initialized, hence lying midway between initialized seasonal forecasts and forced multi-decadal projections. The North Atlantic is among the few places where decadal variations are considered potentially predictable with an added value of the initialization due to the Atlantic Meridional Overturning Circulation (AMOC), which exhibits slow multi-annual fluctuations. A correct representation of this process is fundamental to skillfully predict climate variability in the Northern Hemisphere at these timescales. In this thesis, AMOC pred

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Ndiaye, 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.

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En Afrique de l’Ouest, les précipitations durant la période d’été ont connu, au cours du XXe siècle, de fortes modulations aux échelles de temps décennales. On note en particulier une période très humide vers les années 60 suivie d'un épisode de sécheresse durant les années 80 et une reprise des pluies au cours des années 2000. Ces modulations ont des conséquences socio-économiques régionales majeures. Considérées comme l’un des plus grands signaux du changement climatique en Afrique, elles ont fait l'objet de nombreuses études afin de comprendre leur(s) origine(s) et d’anticiper les prochains

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Books on the topic "Decadal climate prediction"

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Pearman, GI, ed. Greenhouse: Planning for Climate Change. CSIRO Publishing, 1988. http://dx.doi.org/10.1071/9780643105041.

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It is important for the reader to understand clearly the objectives of these papers. They are not an attempt to provide accurate predictions of what is going to happen in Australia over the next few decades. Rather they represent sensitivity studies, designed to illustrate to what extent we as a nation are dependent on the climate and likely to be affected by climatic change, and attempts to develop the techniques for such sensitivity analyses. For this, the climate scenario (reproduced in the Appendix to this volume), was a key.

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Tibaldi, Stefano, and Franco Molteni. Atmospheric Blocking in Observation and Models. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.611.

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The atmospheric circulation in the mid-latitudes of both hemispheres is usually dominated by westerly winds and by planetary-scale and shorter-scale synoptic waves, moving mostly from west to east. A remarkable and frequent exception to this “usual” behavior is atmospheric blocking. Blocking occurs when the usual zonal flow is hindered by the establishment of a large-amplitude, quasi-stationary, high-pressure meridional circulation structure which “blocks” the flow of the westerlies and the progression of the atmospheric waves and disturbances embedded in them. Such blocking structures can hav

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Rosenzweig, Cynthia, and Daniel Hillel. Climate Variability and the Global Harvest. Oxford University Press, 2008. http://dx.doi.org/10.1093/oso/9780195137637.001.0001.

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The Earth's climate is constantly changing. Some of the changes are progressive, while others fluctuate at various time scales. The El Niño-la Niña cycle is one such fluctuation that recurs every few years and has far-reaching impacts. It generally appears at least once per decade, but this may vary with our changing climate. The exact frequency, sequence, duration and intensity of El Niño's manifestations, as well as its effects and geographic distributions, are highly variable. The El Niño-la Niña cycle is particularly challenging to study due to its many interlinked phenomena that occur in

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Xue, Yongkang, Yaoming Ma, and Qian Li. Land–Climate Interaction Over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.592.

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The Tibetan Plateau (TP) is the largest and highest plateau on Earth. Due to its elevation, it receives much more downward shortwave radiation than other areas, which results in very strong diurnal and seasonal changes of the surface energy components and other meteorological variables, such as surface temperature and the convective atmospheric boundary layer. With such unique land process conditions on a distinct geomorphic unit, the TP has been identified as having the strongest land/atmosphere interactions in the mid-latitudes.Three major TP land/atmosphere interaction issues are presented

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Kucharski, Fred, and Muhammad Adnan Abid. Interannual Variability of the Indian Monsoon and Its Link to ENSO. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.615.

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The interannual variability of Indian summer monsoon is probably one of the most intensively studied phenomena in the research area of climate variability. This is because even relatively small variations of about 10% to 20% from the mean rainfall may have dramatic consequences for regional agricultural production. Forecasting such variations months in advance could help agricultural planning substantially. Unfortunately, a perfect forecast of Indian monsoon variations, like any other regional climate variations, is impossible in a long-term prediction (that is, more than 2 weeks or so in adva

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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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Southgate, Emily W. B. Russell. People and the Land through Time. Yale University Press, 2019. http://dx.doi.org/10.12987/yale/9780300225808.001.0001.

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This extensive revision of the first edition of People and the Land Through Time incorporates research over the last two decades to bring the field of historical ecology from an ecological perspective up to date. It emphasizes the use of new sources of data and interdisciplinary data analysis to interpret ecological processes in the past. It describes a diversity of past ecosystems, and how they affect current ecosystem structure and function as well as offering insight into current structure and process, and assisting in predicting the future. This historical perspective highlights the varied

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Book chapters on the topic "Decadal climate prediction"

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Wu, Bo, and Bin Wang. "Decadal Climate Prediction of FGOALS." In Flexible Global Ocean-Atmosphere-Land System Model. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41801-3_28.

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Mamalakis, Antonios, Imme Ebert-Uphoff, and 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. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04083-2_16.

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AbstractIn recent years, artificial intelligence and specifically artificial neural networks (NNs) have shown great success in solving complex, nonlinear problems in earth sciences. Despite their success, the strategies upon which NNs make decisions are hard to decipher, which prevents scientists from interpreting and building trust in the NN predictions; a highly desired and necessary condition for the further use and exploitation of NNs’ potential. Thus, a variety of methods have been recently introduced with the aim of attributing the NN predictions to specific features in the input space a

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Panitz, H. J., G. Schädler, M. Breil, et al. "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. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24633-8_38.

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Seager, Richard, Alicia R. Karspeck, Mark A. Cane, et al. "Predicting Pacific Decadal Variability." In Earth's Climate. American Geophysical Union, 2013. http://dx.doi.org/10.1029/147gm06.

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Goddard, Lisa. "Climate Predictions, Seasonal-to-Decadal." In Climate Change Modeling Methodology. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5767-1_11.

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Goddard, Lisa. "Climate Predictions, Seasonal-to-Decadal." In Encyclopedia of Sustainability Science and Technology. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0851-3_368.

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Kirtman, Ben, David Anderson, Gilbert Brunet, In-Sik Kang, Adam A. Scaife, and Doug Smith. "Prediction from Weeks to Decades." In Climate Science for Serving Society. Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6692-1_8.

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Varghese, Sangeeth. "Future of Climate Change." In Future of Business and Finance. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-36382-5_7.

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AbstractClimate change and global warming are civilizational threats to human existence on Earth and need to be addressed immediately. The impacts of climate change are bound to be widespread, impacting every part of human life and the planet’s functioning. Climate change disbalances global climate systems by altering pressure areas, temperatures and wind patterns which has many knock-on effects for climactic conditions and weather patterns across the world. In this book, we are predicting that global warming will most likely be limited to 1.5 °C with a less than 30% chance of overshooting thi

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Mapani, Benjamin, Rosemary Shikangalah, Isaac Mapaure, and Aansbert Musimba. "Dichrostachys cinerea Growth Rings as Natural Archives for Climatic Variation in Namibia." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_257.

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AbstractGlobal Circulation Models (GCMs) are used to forecast climate change in Southern Africa, and the evidence shows that the region is going to warm up by up to 2° by the year 2050. Namibia is one of the driest countries in Southern Africa and is at a high risk of becoming much drier than current situation by 57%. Very few studies have been carried out in Southern Africa to show actual impacts of climate change. Practical applicability of GCMs at a local spatial scale remains limited due to the coarse nature of the models. Hence, improvement of the GCMs must begin with better understanding

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Mapani, Benjamin, Rosemary Shikangalah, Isaac Mapaure, and Aansbert Musimba. "Dichrostachys cinerea Growth Rings as Natural Archives for Climatic Variation in Namibia." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42091-8_257-1.

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AbstractGlobal Circulation Models (GCMs) are used to forecast climate change in Southern Africa, and the evidence shows that the region is going to warm up by up to 2° by the year 2050. Namibia is one of the driest countries in Southern Africa and is at a high risk of becoming much drier than current situation by 57%. Very few studies have been carried out in Southern Africa to show actual impacts of climate change. Practical applicability of GCMs at a local spatial scale remains limited due to the coarse nature of the models. Hence, improvement of the GCMs must begin with better understanding

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Conference papers on the topic "Decadal climate prediction"

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Hurrell, J,W,, 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.

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Hurrell, J. W., M. Latif, M. Visbeck, 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.

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Latif, Mojib, Mojib Latif, Mojib Latif, et al. "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.

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Rosa-Cánovas, Juan José, Matilde García-Valdecasas Ojeda, Emilio Romero-Jiménez, et al. "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. International Association for Hydro-Environment Engineering and Research (IAHR), 2022. http://dx.doi.org/10.3850/iahr-39wc252171192022929.

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Ambrus, Adrian, Sergey Alyaev, Nazanin Jahani, Felix James Pacis, and Tomasz Wiktorski. "Rate of Penetration Prediction Using Quantile Regression Deep Neural Networks." In ASME 2022 41st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/omae2022-79046.

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Abstract As the petroleum industry makes strides towards meeting the energy efficiency and low emissions goals required to tackle ongoing climate challenges, there is an increasing need for optimizing drilling operations. A central aspect of drilling optimization lies in the ability to select the drilling parameters that improve the rate of penetration (ROP) for the rock formations being drilled. Optimization algorithms require an efficient predictive model of the ROP as a function of key drilling parameters and formation properties. Over the past decades, various mathematical ROP models have

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Klikovac, Anita. "CLIMATE CHANGE - THEN AND NOW." In SECURITY AND CRISIS MANAGEMENT - THEORY AND PRACTICE. RASEC, 2024. https://doi.org/10.70995/uffx9733.

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During the last five decades, we have systematically recorded an increase in temperature, accompanied by the melting of ice sheets in the polar regions and an increase in sea level. Although the discussion of climate change may date back to the 19th century, today, thanks to advances in science and technology, we have the ability to make accurate measurements that significantly contribute to our understanding and prediction of these changes. However, despite this progress, there are two opposing views on the causes of climate change: one claims that the changes are caused by human action, whil

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Wardley, T., KP West, B. Tesfay, et al. "Malaria Anticipation Project: development of a predictive malaria early warning system for anticipatory action in Jonglei State, South Sudan." In MSF Scientific Days International 2024. MSF-USA, 2024. http://dx.doi.org/10.57740/a4tlziism.

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INTRODUCTION Climate and environmental conditions are critical factors in malaria transmission. Médecins Sans Frontières (MSF) teams in South Sudan have seen changes in the timing and intensity of malaria seasonal peaks over the past decade. The Malaria Anticipation Project (MAP) aims to develop predictive early warning systems to better predict and act upon any expected rise in malaria cases, through routine surveillance. METHODS Predictive models were developed using environmental data collected from climate and space agencies and weekly outpatient department (OPD) malaria case count in Lank

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Pucci, Alessandro, Hélder S. Sousa, and José C. Matos. "Predicting the change of hydraulic loads on bridges: a case study in Italy with a 100-year database." In IABSE Congress, New York, New York 2019: The Evolving Metropolis. International Association for Bridge and Structural Engineering (IABSE), 2019. http://dx.doi.org/10.2749/newyork.2019.0442.

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<p>Planet Earth is naturally subject to climatic variability, but over the recent decades extreme deviations have been observed. Climate change, as a manmade-induced process, is mainly due to the increase of greenhouse gasses emission. Global warming consequences drive also to an intensification of hydrological cycles, leading to more frequent and severe precipitations. In parallel, several bridges have collapsed in the last years due to extreme rainfalls. Although the impacts of climate change on built environment do not always present a direct cause-effect relation, analysis on specifi

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Malinin, Valeriy, Valeriy Malinin, Svetlana Gordeeva, et al. "VARIATIONS OF SEA LEVEL AND GLOBAL CLIMATE IN MODERN CONDITIONS." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.31519/conferencearticle_5b1b9476800645.51196268.

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Global warming can result in the rise of Sea Level (SL) by 40–100 cm by the end of the XXI century with possible catastrophic consequences for coastal zone. Study and prediction of long-term fluctuations of sea level is among the most important problems of modern hydrometeorology. A series of studies of SL interannual fluctuations have been carried out in RSHU. A reconstruction of SL fluctuations during the observation period of 1861-2010, i.e. 150 years, was performed on the basis of the developed statistical model showing a powerful linear trend describing 94% of the initial row dispersion.

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Malinin, Valeriy, Valeriy Malinin, Svetlana Gordeeva, et al. "VARIATIONS OF SEA LEVEL AND GLOBAL CLIMATE IN MODERN CONDITIONS." In Managing risks to coastal regions and communities in a changing world. Academus Publishing, 2017. http://dx.doi.org/10.21610/conferencearticle_58b4316be3ef5.

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Global warming can result in the rise of Sea Level (SL) by 40–100 cm by the end of the XXI century with possible catastrophic consequences for coastal zone. Study and prediction of long-term fluctuations of sea level is among the most important problems of modern hydrometeorology. A series of studies of SL interannual fluctuations have been carried out in RSHU. A reconstruction of SL fluctuations during the observation period of 1861-2010, i.e. 150 years, was performed on the basis of the developed statistical model showing a powerful linear trend describing 94% of the initial row dispersion.

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Reports on the topic "Decadal climate prediction"

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McClean, Julie L. Towards a Fine-Resolution Global Coupled Climate System for Prediction on Decadal/Centennial Scales. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1105025.

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Gutowski, William J. Collaborative Research: Improving Decadal Prediction of Arctic Climate Variability and Change Using a Regional Arctic. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1415029.

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Liu, Zhengyu, J. Kutzbach, R. Jacob, and C. Prentice. Towards the Prediction of Decadal to Centennial Climate Processes in the Coupled Earth System Model. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1030607.

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Katzenberger, 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), 2010. http://dx.doi.org/10.2172/1130064.

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Maslowski, Wieslaw, John J. Cassano, William J. Gutowski, Jr., et al. 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), 2011. http://dx.doi.org/10.2172/1329071.

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Maslowski, Wieslaw. 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), 2016. http://dx.doi.org/10.2172/1330744.

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Robertson, William. 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), 2016. http://dx.doi.org/10.2172/1334500.

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Hutchings, Jennifer, and Renu Joseph. Collaborative Project. Understanding the effects of tides and eddies on the ocean dynamics, sea ice cover and decadal/centennial climate prediction using the Regional Arctic Climate Model (RACM). Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1230063.

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Tribbia, Joe, and Minghua Zhang. Regional Projections of Climate on Decadal Time Scales: High resolution global predictions and regionally resolved source response studies. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1115450.

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Capotondi, Antonietta, Victoria J. Coles, Sophie Clayton, et al. Daily to decadal ecological forecasting along North American coastlines. Woods Hole Oceangraphic Institution, 2024. https://doi.org/10.1575/1912/70991.

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Abstract:

Coastal areas share unique intersections of large-scale climate variability and local hydrology, wetland, benthic and pelagic ecosystems, and anthropogenic pressures. Forecasting of harmful environmental conditions for planning, adaptation, and mitigation purposes is both complex and urgently needed. Ecological forecasting is the qualitative or quantitative projection of biogeochemical, organismal or ecosystem state variables and their drivers on timescales that can range from “now” to decades from now. Estimating hypoxia in Chesapeake Bay today, predicting acidity conditions in the Northeast

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