Scientific Results

This catalogue is obtained by conducting a systematic literature review of scientific studies and reviews related to monitoring, forecasting, and simulating the inland water cycle. The analysis maps scientific expertise across research groups and classifies findings by the type of inland water studied, application focus, and geographical scope. A gap analysis will identify missing research areas and assess their relevance to policymaking.

ID â–² Type Year Authors Title Venue/Journal DOI Research type Water System Technical Focus Abstract Link with Projects Link with Tools Related policies ID
publications-661 PEER REVIEWED ARTICLE 2015 E. Cabrera , E. Gómez , E. Cabrera , J. Soriano , V. Espert Energy Assessment of Pressurized Water Systems 10.1061/(asce)wr.1943-5452.0000494 Simulation & Modeling Water Distribution Networks No abstract available 265122
publications-662 PEER REVIEWED ARTICLE 2015 Jos Frijns, Enrique Cabrera Marchet, Nelson Carriço, Dídia Covas, Antonio J. Monteiro, Helena M. Ramos, Andrea Bolognesi, Cristiana Bragalli, Sotiri Management tools for hydro energy interventions in water supply systems 10.2166/wpt.2015.024 Simulation & Modeling Water Distribution Networks There is significant potential for energy recovery through the use of micro-hydropower installations in water supply systems (WSS). To exploit the full potential of hydro energy in balance with the optimal hydraulic performance and water supply service, multi-objective management tools are needed. This paper presents the application of four management tools: (1) an energy audit to evaluate the potential hydro energy in the water pressurised systems of Alcoy; (2) multi-criteria decision-making methods for the selection of the preferred energy-efficient operation of a system with a pump-storage reservoir and hydro-turbines in the Algarve; (3) a numerical dynamic tool for optimal turbine operation in the water distribution of Langhirano; and (4) an urban water optioneering tool to estimate the hydropower potential of the external aqueduct network in Athens. These methods showed that through an integrated approach the WSS can be optimised for both hydraulic performance and hydro energy production. 265122
publications-663 CONFERENCE PROCEEDING 2014 E. Cabrera , E. Cabrera , R. Cobacho , J. Soriano Towards an Energy Labelling of Pressurized Water Networks 10.1016/j.proeng.2014.02.024 Data Management & Analytics Precipitation & Ecological Systems No abstract available 265122
publications-664 CONFERENCE PROCEEDING 2014 G. Venkatesh , R. Ugarelli , S. Sægrov , H. Brattebø Dynamic Metabolism Modeling as a Decision-Support Tool for Urban Water Utilities Applied to the Upstream of the Water System in Oslo, Norway 10.1016/j.proeng.2014.11.462 Simulation & Modeling Water Distribution Networks No abstract available 265122
publications-665 PEER REVIEWED ARTICLE 2013 A. M. Foley, D. Dalmonech, A. D. Friend, F. Aires, A. T. Archibald, P. Bartlein, L. Bopp, J. Chappellaz, P. Cox, N. R. Edwards, G. Feulner, P. Friedli Evaluation of biospheric components in Earth system models using modern and palaeo-observations: the state-of-the-art 10.5194/bgd-10-10937-2013 Triple bottom line assessment Natural Water Bodies Abstract. Earth system models are increasing in complexity and incorporating more processes than their predecessors, making them important tools for studying the global carbon cycle. However, their coupled behaviour has only recently been examined in any detail, and has yielded a very wide range of outcomes, with coupled climate-carbon cycle models that represent land-use change simulating total land carbon stores by 2100 that vary by as much as 600 Pg C given the same emissions scenario. This large uncertainty is associated with differences in how key processes are simulated in different models, and illustrates the necessity of determining which models are most realistic using rigorous model evaluation methodologies. Here we assess the state-of-the-art with respect to evaluation of Earth system models, with a particular emphasis on the simulation of the carbon cycle and associated biospheric processes. We examine some of the new advances and remaining uncertainties relating to (i) modern and palaeo data and (ii) metrics for evaluation, and discuss a range of strategies, such as the inclusion of pre-calibration, combined process- and system-level evaluation, and the use of emergent constraints, that can contribute towards the development of more robust evaluation schemes. An increasingly data-rich environment offers more opportunities for model evaluation, but it is also a challenge, as more knowledge about data uncertainties is required in order to determine robust evaluation methodologies that move the field of ESM evaluation from "beauty contest" toward the development of useful constraints on model behaviour. 265170
publications-666 PEER REVIEWED ARTICLE 2013 Gerten, D., Hoff, H., Rockström, J., Jägermeyr, J., Kummu, M., Pastor, A. Towards a revised planetary boundary for consumptive freshwater use: role of environmental flow requirements 10.1016/j.cosust.2013.11.001 Data Management & Analytics Wastewater Treatment Plants No abstract available 265170
publications-667 PEER REVIEWED ARTICLE 2013 F. Babonneau, A. Haurie and M. Vielle. A Robust Meta-Game for Climate Negotiations 10.1007/s10287-013-0188-0 Data Management & Analytics Wastewater Treatment Plants No abstract available 265170
publications-668 PEER REVIEWED ARTICLE 2013 Maryse Labriet , Santosh R. Joshi , Marc Vielle , Philip B. Holden , Neil R. Edwards , Amit Kanudia , Richard Loulou , Frédéric Babonneau Worldwide impacts of climate change on energy for heating and cooling 10.1007/s11027-013-9522-7 Uncategorized Uncategorized No abstract available 265170
publications-669 PEER REVIEWED ARTICLE 2013 D. Klein, G. Luderer, E. Kriegler, J. Strefler, N. Bauer, M. Leimbach, A. Popp, J.P. Dietrich, F. Humpenöder, H. Lotze-Campen, O. Edenhofer The value of bioenergy in low stabilization scenarios: an assessment using ReMIND-MAgPIE 10.1007/s10584-013-0940-z Data Management & Analytics Wastewater Treatment Plants No abstract available 265170
publications-670 PEER REVIEWED ARTICLE 2013 Marsh, R., A. Sóbester, E. E. Hart, K. I. C. Oliver, N. R. Edwards, and S. J. Cox An Optimally Tuned Ensemble of the eb_go_gs Configuration of GENIE: Parameter Sensitivity and Bifurcations in the Atlantic Overturning Circulation 10.5194/gmd-6-1729-2013 Simulation & Modeling Water Distribution Networks Abstract. The key physical parameters for the "eb_go_gs" configuration of version 2.7.4 of GENIE, an Earth system model of intermediate complexity (EMIC), are tuned using a multi-objective genetic algorithm. An ensemble of 90 parameter sets is tuned using two ocean and two atmospheric state variables as targets. These are "Pareto-optimal", representing a range of trade-offs between the four tuning targets. For the leading five parameter sets, simulations are evaluated alongside a simulation with untuned "default" parameters, comparing selected variables and diagnostics that describe the state of the atmosphere, ocean and sea ice. Further experiments are undertaken with these selected parameter sets to compare equilibrium climate sensitivities and transient climate responses. The pattern of warming under doubled CO2 is strongly shaped by changes in the Atlantic meridional overturning circulation (AMOC), while the pattern and rate of warming under rising CO2 is closely linked to changing sea ice extent. One of the five tuned parameter sets is identified as marginally optimal, and the objective function (error) landscape is further analysed in the vicinity of the tuned values of this parameter set. "Cliffs" along some dimensions motivate closer inspection of corresponding variations in the AMOC. This reveals that bifurcations in the AMOC are highly sensitive to parameters that are not typically associated with MOC stability. Specifically, the state of the AMOC is sensitive to parameters governing the wind-driven circulation and atmospheric heat transport. For the GENIE configuration presented here, the marginally optimal parameter set is recommended for single simulations, although the leading five parameter sets may be used in ensemble mode to admit a constrained degree of parametric uncertainty in climate prediction. 265170