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928 results on '"Francés, F."'

11. Multi-model hydrological reference dataset over continental Europe and an African basin

Author

Droppers, B., Rakovec, Oldrich, Avila, L., Azimi, S., Cortés-Torres, N., De León Pérez, D., Imhoff, R., Francés, F., Kollet, S., Rigon, R., Weerts, A., Samaniego, Luis, Droppers, B., Rakovec, Oldrich, Avila, L., Azimi, S., Cortés-Torres, N., De León Pérez, D., Imhoff, R., Francés, F., Kollet, S., Rigon, R., Weerts, A., and Samaniego, Luis

Abstract

Although Essential Climate Variables (ECVs) have been widely adopted as important metrics for guiding scientific and policy decisions, the Earth Observation (EO) and Land Surface and Hydrologic Model (LSM/HM) communities have yet to treat terrestrial ECVs in an integrated manner. To develop consistent terrestrial ECVs at regional and continental scales, greater collaboration between EO and LSM/HM communities is needed. An essential first step is assessing the LSM/HM simulation uncertainty. To that end, we introduce a new hydrological reference dataset that comprises a range of 19 existing LSM/HM simulations that represent the current state-of-the-art of our LSM/HMs. Simulations are provided on a daily time step, covering Europe, notably the Rhine and Po river basins, alongside the Tugela river basin in Africa, and are uniformly formatted to allow comparisons across simulations. Furthermore, simulations are comprehensively validated with discharge, evapotranspiration, soil moisture and total water storage anomaly observations. Our dataset provides valuable information to support policy development and serves as a benchmark for generating consistent terrestrial ECVs through the integration of EO products.

Published
2024

12. Toward Systematic Literature Reviews in Hydrological Sciences

Author

Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient, Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports, GENERALITAT VALENCIANA, AGENCIA ESTATAL DE INVESTIGACION, de León-Pérez, David, Acosta Vega, Rick, SALAZAR GALAN, SERGIO ANDRÉS, Aranda Domingo, José Ángel, Francés, F., Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient, Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports, GENERALITAT VALENCIANA, AGENCIA ESTATAL DE INVESTIGACION, de León-Pérez, David, Acosta Vega, Rick, SALAZAR GALAN, SERGIO ANDRÉS, Aranda Domingo, José Ángel, and Francés, F.

Abstract

[EN] Systematic literature reviews can provide an objective global overview of background research on hydrological questions. This study presents a methodology to ensure rigor, traceability, and replicability in evaluating state-of-the-art hydrological topics. The proposed methodology involved systematic, objective, and explicit steps. Strategies with defined selection criteria were used to search the relevant literature comprehensively and accurately on hydrological uncertainty as a case study. The most pertinent documents were filtered to build a critical state-of-the-art synthesis for evaluating their quality and relevance. This methodology allows systematic literature analysis to provide an objective summary of the evidence, with a structured procedure for state-of-the-art reviews, which promotes transparency in the search, unlike typical review papers that lack reproducible methodologies that may lead to obtaining a potentially subjective reference selection. Consequently, the proposed methodology improves reference reliability and study reproducibility while generalizing the methodology. This procedure has proven effective and practical for building state-of-the-art research in the study case (State-of-the-art Uncertainty in Hydrological forecasting from 2017 to 2023) and can be considered a relevant tool in hydrology and other STEM disciplines, providing a rigorous and transparent approach that enhances evidence quality and reliability.

Published
2024

15. An $O(n^2)$ Algorithm for Computing Optimal Continuous Voltage Schedules

Author

Li, Minming, Yao, Frances F., and Yuan, Hao

Subjects
Computer Science - Data Structures and Algorithms
Abstract

Dynamic Voltage Scaling techniques allow the processor to set its speed dynamically in order to reduce energy consumption. In the continuous model, the processor can run at any speed, while in the discrete model, the processor can only run at finite number of speeds given as input. The current best algorithm for computing the optimal schedules for the continuous model runs at $O(n^2\log n)$ time for scheduling $n$ jobs. In this paper, we improve the running time to $O(n^2)$ by speeding up the calculation of s-schedules using a more refined data structure. For the discrete model, we improve the computation of the optimal schedule from the current best $O(dn\log n)$ to $O(n\log \max\{d,n\})$ where $d$ is the number of allowed speeds., Comment: 12 pages

Published
2014

23. The distributed model intercomparison project - Phase 2: Experiment design and summary results of the western basin experiments

Author

Smith, M, Koren, V, Zhang, Z, Moreda, F, Cui, Z, Cosgrove, B, Mizukami, N, Kitzmiller, D, Ding, F, Reed, S, Anderson, E, Schaake, J, Zhang, Y, Andréassian, V, Perrin, C, Coron, L, Valéry, A, Khakbaz, B, Sorooshian, S, Behrangi, A, Imam, B, Hsu, KL, Todini, E, Coccia, G, Mazzetti, C, Ortiz Andres, E, Francés, F, Orozco, I, Hartman, R, Henkel, A, Fickenscher, P, and Staggs, S

Subjects
Hydrologic model, Rainfall-runoff, Distributed model, Lumped model, Calibration, Simulation, Environmental Engineering
Abstract

The Office of Hydrologic Development (OHD) of the U.S. National Oceanic and Atmospheric Administration's (NOAA) National Weather Service (NWS) conducted the two phases of the Distributed Model Intercomparison Project (DMIP) as cost-effective studies to guide the transition to spatially distributed hydrologic modeling for operational forecasting at NWS River Forecast Centers (RFCs). Phase 2 of the Distributed Model Intercomparison Project (DMIP 2) was formulated primarily as a mechanism to help guide the U.S. NWS as it expands its use of spatially distributed watershed models for operational river, flash flood, and water resources forecasting. The overall purpose of DMIP 2 was to test many distributed models forced by high quality operational data with a view towards meeting NWS operational forecasting needs. At the same time, DMIP 2 was formulated as an experiment that could be leveraged by the broader scientific community as a platform for the testing, evaluation, and improvement of distributed models.DMIP 2 contained experiments in two regions: in the DMIP 1 Oklahoma basins, and second, in two basins in the Sierra Nevada Mountains in the western USA. This paper presents the overview and results of the DMIP 2 experiments conducted for the two Sierra Nevada basins. Simulations from five independent groups from France, Italy, Spain and the USA were analyzed. Experiments included comparison of lumped and distributed model streamflow simulations generated with uncalibrated and calibrated parameters, and simulations of snow water equivalent (SWE) at interior locations. As in other phases of DMIP, the participant simulations were evaluated against observed hourly streamflow and SWE data and compared with simulations provided by the NWS operational lumped model. A wide range of statistical measures are used to evaluate model performance on a run-period and event basis. Differences between uncalibrated and calibrated model simulations are assessed.Results indicate that in the two study basins, no single model performed best in all cases. In addition, no distributed model was able to consistently outperform the lumped model benchmark. However, one or more distributed models were able to outperform the lumped model benchmark in many of the analyses. Several calibrated distributed models achieved higher correlation and lower bias than the calibrated lumped benchmark in the calibration, validation, and combined periods. Evaluating a number of specific precipitation-runoff events, one calibrated distributed model was able to perform at a level equal to or better than the calibrated lumped model benchmark in terms of event-averaged peak and runoff volume error. However, three distributed models were able to provide improved peak timing compared to the lumped benchmark. Taken together, calibrated distributed models provided specific improvements over the lumped benchmark in 24% of the model-basin pairs for peak flow, 12% of the model-basin pairs for event runoff volume, and 41% of the model-basin pairs for peak timing. Model calibration improved the performance statistics of nearly all models (lumped and distributed). Analysis of several precipitation/runoff events indicates that distributed models may more accurately model the dynamics of the rain/snow line (and resulting hydrologic conditions) compared to the lumped benchmark model. Analysis of SWE simulations shows that better results were achieved at higher elevation observation sites.Although the performance of distributed models was mixed compared to the lumped benchmark, all calibrated models performed well compared to results in the DMIP 2 Oklahoma basins in terms of run period correlation and %Bias, and event-averaged peak and runoff error. This finding is noteworthy considering that these Sierra Nevada basins have complications such as orographically-enhanced precipitation, snow accumulation and melt, rain on snow events, and highly variable topography. Looking at these findings and those from the previous DMIP experiments, it is clear that at this point in their evolution, distributed models have the potential to provide valuable information on specific flood events that could complement lumped model simulations. © 2013.

Published
2013

24. An Algorithm for Computing Optimal Continuous Voltage Schedules

Author

Li, Minming, Yao, Frances F., Yuan, Hao, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gopal, T.V., editor, Jäger, Gerhard, editor, and Steila, Silvia, editor

Published
2017
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26. Serine Synthesis via PHGDH Is Essential for Heme Production in Endothelial Cells

Author

Vandekeere, Saar, Dubois, Charlotte, Kalucka, Joanna, Sullivan, Mark R., García-Caballero, Melissa, Goveia, Jermaine, Chen, Rongyuan, Diehl, Frances F., Bar-Lev, Libat, Souffreau, Joris, Pircher, Andreas, Kumar, Saran, Vinckier, Stefan, Hirabayashi, Yoshio, Furuya, Shigeki, Schoonjans, Luc, Eelen, Guy, Ghesquière, Bart, Keshet, Eli, Li, Xuri, Vander Heiden, Matthew G., Dewerchin, Mieke, and Carmeliet, Peter

Published
2018
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28. Legume consumption is inversely associated with type 2 diabetes incidence in adults: A prospective assessment from the PREDIMED study

Author

Serra-Mir, M., Pérez-Heras, A., Viñas, C., Casas, R., Medina-Renom, A., Baena, J.M., García, M., Oller, M., Amat, J., Duaso, I., García, Y., Iglesias, C., Simón, C., Quinzavos, L., Parra, L., Liroz, M., Benavent, J., Clos, J., Pla, I., Amorós, M., Bonet, M.T., Martín, M.T., Sánchez, M.S., Altirriba, J., Manzano, E., Altés, A., Cofán, M., Valls-Pedret, C., Sala-Vila, A., Doménech, M., Bulló, M., Babio, N., Basora, J., González, R., Molina, C., Márquez, F., Martínez, P., Ibarrola, N., Sorlí, M., García Roselló, J., Castro, A., Martin, F., Tort, N., Isach, A., Guasch-Ferre, M., Cabré, J.J., Mestres, G., Paris, F., Llauradó, M., Pedret, R., Basells, J., Vizcaino, J., Segarra, R., Frigola, J., Costa-Vizcaino, J., Salas-Huetos, A., Boj, J., Montañes, D., Papandreou, Christopher, Fernández-Ballart, J., Carrasco, P., Ortega-Azorín, C., Asensio, E.M., Osma, R., Barragán, R., Francés, F., Guillén, M., González, J.I., Sáiz, C., Portolés, O., Giménez, F.J., Coltell, O., Fernández-Carrión, R., Guillem-Sáiz, P., González-Monje, I., Quiles, L., Pascual, V., Riera, C., Pages, M.A., Godoy, D., Carratalá-Calvo, A., Sánchez-Navarro, S., Valero-Barceló, C., Tello, S., Vila, J., de la Torre, R., Muñoz-Aguayo, D., Elosua, R., Marrugat, J., Schröder, H., Molina, N., Maestre, E., Rovira, A., Castañer, O., Farré, M., Toledo, E., Ruiz-Canela, M., Sanjulián, B., Sánchez-Tainta, A., Eguaras, S., Martí, A., Buil-Cosiales, P., SerranoMartínez, M., Diez-Espino, J., García-Arellano, A., Martínez-Lapiscina, E.H., Goñi, E., Vázquez, Z., Berrade, N., Extremera-Urabayen, V., Arroyo-Azpa, C., García-Pérez, L., Villanueva-Telleria, J., Cortés-Ugalde, F., Sagredo-Arce, T., Vigata-López, M.D., Arceiz Campo, M.T., Urtasun-Samper, A., Gueto Rubio, M.V., Churio-Beraza, B., Arós, F., Salaverria, I., del Hierro, T., Algorta, J., Francisco, S., Alonso-Gómez, A., Sanz, E., Rekondo, J., Belló, M.C., Loma-Osorio, A., Gómez-Gracia, E., Wärnberg, J., Benítez Pont, R., Bianchi Alba, M., Gómez-Huelgas, R., Martínez-González, J., Velasco García, V., de Diego Salas, J., Baca Osorio, A., Gil Zarzosa, J., Sánchez Luque, J.J., Vargas López, E., Ruiz-Gutiérrez, V., Sánchez Perona, J., Montero Romero, E., García-García, M., Jurado-Ruiz, E., Fiol, M., Romaguera, D., García-Valdueza, M., Moñino, M., Munuera, S., Vivó, M., Bestard, F., Munar, J.A., Coll, L., Proenza, A., Prieto, R., Frontera, G., Fiol, F., Ginard, M., Jover, A., García, J., Santos-Lozano, J.M., Ortega-Calvo, M., Mellado, L., García-Corte, F.J., Román, P., Iglesias, P., Corchado, Y., Miró-Moriano, L., Domínguez-Espinaco, C., Lozano-Rodriguez, J.M., Vaquero-Diaz, S., López- Sabater, M.C., Castellote-Bargalló, A.I., Quifer-Rada, P., Tresserra-Rimbau, A., Álvarez-Pérez, J., Díaz-Benítez, E.M., Sánchez-Villegas, A., Casañas-Quintana, L.T., Pérez-Cabrera, J., Ruano-Rodríguez, C., Bautista-Castaño, I., Sarmiento de la Fe, F., García Pastor, J.A., Díaz-González, B.V., Castillo Anzalas, J.M., Sosa-Also, R.E., Medina-Ponce, J., de la Cruz, E., Fanlo-Maresma, M., Galera, A., Trias, F., Sarasa, I., Corbella, E., Corbella, X., Cabezas, C., Vinyoles, E., Rovira, M.A., García, L., Flores, G., Verdú, J.M., Baby, P., Ramos, A., Mengual, L., Roura, P., Yuste, M.C., Guarner, A., Santamaría, M.I., Mata, M., de Juan, C., Brau, A., Tur, J.A., Portillo, M.P., Sáez, G., Aldamiz-Echevarría, M., Alonso-Gómez, A.M., Berjón, J., Forga, L., Gállego, J., García-Layana, A., Larrauri, A., Portu-Zapirain, J., Timiraus-Fernández, J., Becerra-Tomás, Nerea, Díaz-López, Andrés, Rosique-Esteban, Núria, Ros, Emilio, Buil-Cosiales, Pilar, Corella, Dolores, Estruch, Ramon, Fitó, Montserrat, Serra-Majem, Lluís, Arós, Fernando, Lamuela-Raventós, Rosa Maria, Fiol, Miquel, Santos-Lozano, José Manuel, Díez-Espino, Javier, Portoles, Olga, and Salas-Salvadó, Jordi

Published
2018
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