Search Results - "Volodina, Victoria"

Process‐Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement by Couvreux, Fleur, Hourdin, Frédéric, Williamson, Daniel, Roehrig, Romain, Volodina, Victoria, Villefranque, Najda, Rio, Catherine, Audouin, Olivier, Salter, James, Bazile, Eric, Brient, Florent, Favot, Florence, Honnert, Rachel, Lefebvre, Marie‐Pierre, Madeleine, Jean‐Baptiste, Rodier, Quentin, Xu, Wenzhe

“…The development of parameterizations is a major task in the development of weather and climate models. Model improvement has been slow in the past decades, due…”
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Process‐Based Climate Model Development Harnessing Machine Learning: II. Model Calibration From Single Column to Global by Hourdin, Frédéric, Williamson, Daniel, Rio, Catherine, Couvreux, Fleur, Roehrig, Romain, Villefranque, Najda, Musat, Ionela, Fairhead, Laurent, Diallo, F. Binta, Volodina, Victoria

“…We demonstrate a new approach for climate model tuning in a realistic situation. Our approach, the mathematical foundations and technical details of which are…”
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Model-Based Contract Design for Low Energy Waste Heat Contracts: The Route to Pricing by Wheatcroft, Edward, Wynn, Henry P., Volodina, Victoria, Dent, Chris J., Lygnerud, Kristina

“…Urban Waste Heat Recovery, heat recovery from low-temperature urban sources such as data centres and metro systems, has a great deal of potential in terms of…”
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Process‐Based Climate Model Development Harnessing Machine Learning: III. The Representation of Cumulus Geometry and Their 3D Radiative Effects by Villefranque, Najda, Blanco, Stéphane, Couvreux, Fleur, Fournier, Richard, Gautrais, Jacques, Hogan, Robin J., Hourdin, Frédéric, Volodina, Victoria, Williamson, Daniel

“…Process‐scale development, evaluation, and calibration of physically based parameterizations of clouds and radiation are powerful levers for improving weather…”
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The importance of uncertainty quantification in model reproducibility by Volodina, Victoria, Challenor, Peter

“…Many computer models possess high-dimensional input spaces and substantial computational time to produce a single model evaluation. Although such models are…”
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Comparing district heating options under uncertainty using stochastic ordering by Volodina, Victoria, Wheatcroft, Edward, Wynn, Henry

“…District heating is expected to play an important role in the decarbonisation of the energy sector in the coming years since low carbon sources such as waste…”
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SECRET: Statistical Emulation for Computational Reverse Engineering and Translation with applications in healthcare by Paun, L. Mihaela, Colebank, Mitchel J., Taylor-LaPole, Alyssa, Olufsen, Mette S., Ryan, William, Murray, Iain, Salter, James M., Applebaum, Victor, Dunne, Michael, Hollins, Jake, Kimpton, Louise, Volodina, Victoria, Xiong, Xiaoyu, Husmeier, Dirk

“…There have been impressive advances in the physical and mathematical modelling of complex physiological systems in the last few decades, with the potential to…”
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Uncertainty Quantification for Complex Computer Models with Nonstationary Output. Bayesian Optimal Design for Iterative Refocussing by Volodina, Victoria

“…In this thesis, we provide the Uncertainty Quantification (UQ) tools to assist automatic and robust calibration of complex computer models. Our tools allow…”
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Process-Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement by Couvreux, Fleur, Hourdin, Frédéric, Williamson, Daniel, Roehrig, Romain, Volodina, Victoria, Villefranque, Najda, Rio, Catherine, Audouin, Olivier, Salter, James, Bazile, Eric, Brient, Florent, Favot, Florence, Honnert, Rachel, Lefebvre, Marie‐Pierre, Madeleine, Jean‐Baptiste, Rodier, Quentin, Xu, Wenzhe

“…The development of parameterizations is a major task in the development of weather and climate models. Model improvement has been slow in the past decades, due…”
Get full text

Process-Based Climate Model Development Harnessing Machine Learning: I. A Calibration Tool for Parameterization Improvement by Couvreux, Fleur, Hourdin, Frédéric, Williamson, Daniel, Roehrig, Romain, Volodina, Victoria, Villefranque, Najda, Rio, Catherine, Audouin, Olivier, Salter, James, Bazile, Eric, Brient, Florent, Favot, Florence, Honnert, Rachel, Lefebvre, Marie‐Pierre, Madeleine, Jean‐Baptiste, Rodier, Quentin, Xu, Wenzhe

“…The development of parameterizations is a major task in the development of weather and climate models. Model improvement has been slow in the past decades, due…”
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On conditionally pathogenic microflora of caspian seal ( Phoca caspica) by Volodina, Victoria V., D’Jakova, Svetlana A., Ruban, Ekaterina, Shokasheva, Dina I.

“…Caspian seal was subjected in the 2000s to complex combined infection caused by viruses and pathogenic bacteria that led to mass mortality of this species, the…”
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Evaluation of rate of pathological changes in parenchymal organs for embryo of caspian seal Phoca caspica in modern conditions of the ecosystem in the Caspian Sea by Volodina, Victoria V., Grushko, Maria P., Fedorova, Nadezhda N.

“…Pathological changes of the caspian seal fetus caused by negative processes in the mother’s organism under influence of disease and harmful environments are…”
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Propagating moments in probabilistic graphical models with polynomial regression forms for decision support systems by Volodina, Victoria, Sonenberg, Nikki, Challenor, Peter, Smith, Jim Q

“…Probabilistic graphical models are widely used to model complex systems under uncertainty. Traditionally, Gaussian directed graphical models are applied for…”
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PATHOLOGIES OF REPRODUCTIVE ORGANS OF CASPIAN FEMALE SEALS (PHOCA CASPICA, GMELIN, 1788) by Volodina, Victoria V., Fedorova, Nadezhda N., Grushko, Maria P.

“…The aim is to compare morphofunctional conditions of the ovaries and uteruses of Caspian female seals born between the end of XX and beginning of XXI…”
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Using infinite server queues with partial information for occupancy prediction by Sonenberg, Nikki, Volodina, Victoria, Challenor, Peter G, Smith, Jim Q

“…Motivated by demand prediction for the custodial prison population in England and Wales, this paper describes an approach to the study of service systems using…”
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A Bayesian Decision Support System in Energy Systems Planning by Volodina, Victoria, Sonenberg, Nikki, Challenor, Peter, Smith, Jim Q

“…Gaussian Process (GP) emulators are widely used to approximate complex computer model behaviour across the input space. Motivated by the problem of coupling…”
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Comparing district heating options under uncertainty using stochastic ordering by Volodina, Victoria, Wheatcroft, Edward, Wynn, Henry

“…District heating is a network of pipes through which heat is delivered from a centralised source. It is expected to play an important role in the…”
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Diagnostic-Driven Nonstationary Emulators Using Kernel Mixtures by Volodina, Victoria, Williamson, Daniel B

“…Weakly stationary Gaussian processes (GPs) are the principal tool in the statistical approaches to the design and analysis of computer experiments (or…”
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Majorisation as a theory for uncertainty by Volodina, Victoria, Sonenberg, Nikki, Wheatcroft, Edward, Wynn, Henry

“…Majorisation, also called rearrangement inequalities, yields a type of stochastic ordering in which two or more distributions can be compared. In this paper we…”
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Propagating uncertainty in a network of energy models by Volodina, Victoria, Sonenberg, Nikki, Smith, Jim Q, Challenor, Peter G, Dent, Chris J, Wynn, Henry P

“…Computer models are widely used in decision support for energy systems operation, planning and policy. A system of models is often employed, where model inputs…”
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