La cosecha de los 80

This article looks into five case studies that locate the moment of appearance of the phenomenon known as quality bestseller in the Spanish publishing field of the 80s. For this purpose, the material protagonists, collections and mediators that take part will be taken into account, as well as the series of bets that are carried out to introduce the different publications in a new literary system

Vélez de Guevara, Luis, La creación del mundo, eds. William R. Manson y C. George Peale, Juan de la Cuesta, Delaware, 2018

Obra ressenyada: Luis VÉLEZ DE GUEVARA ; William R. MANSON y C. George PEALE, Juan DE LA CUESTA (eds.), La creación del mundo. Delaware, 2018

Sally Rooney: irreverencia combativa en la reinvención de la novela de tema amoroso

Sally Rooney’s narrative, framed within the Irish PostCeltic Tiger period, is representative of a recent generation of writers whose novels are characterized by experimentation with form and content to give voice to the new identity that has been forged within recessionary Ireland. us, the aims of this article are, firstly, to introduce a new writer within the global literary field; secondly, to map the trajectory of her combative discourse in the reinvention of the romantic novel in her countries of translation; and finally, to point out her stance on the issues she exposes around corporeality, which is one of the backbones of her novels.La narrativa de Sally Rooney, enmarcada dentro del periodo Post-Celtic Tiger irlandés, es representativa de una reciente generación de escritores cuyas novelas experimentan con la forma y el contenido para dar voz a la nueva identidad que se ha forjado dentro de la Irlanda recesionaria. Así, este artículo tiene como objetivos: en primer lugar, presentar a una nueva escritora dentro del campo literario global; en segundo lugar, mapear el trayecto de su discurso combativo en la reinvención de la novela romántica en sus países de traducción; y por último, señalar su toma de posición ante las problemáticas que expone en torno a la corporalidad, que es uno de los ejes vertebradores de sus novelas

Into the Exegesis of Two Cultures; or, Against the Isolation of Areas of Knowledge

Time –among other components– has refined the boundaries of the disciplines for them not to touch each other, creating distant realms that don’t mirror reality anymore. Nevertheless, there still be common places suitable for arts and sciences and it is necessary to rebuild on them, and to make them discuss again. This essay intends to reconsider the role of the intellectual, exemplifying it through the figure of Julio Cortázar, to offer a new dimension of it: a non-individual and elitist intellectual, but divulgative and collective. This will give rise to the conclusions that will claim to give an account of the intersection present between literature and science, bestowing upon literature not only the ability of acting as a scientific disseminator, but also the responsibility of establishing a change o paradigm in which both disciplines keep the same pace.El tiempo, entre otros factores, ha ido puliendo las fronteras de las disciplinas para que estas no se rocen entre sí, creando mundos lejanos que no reflejan ya la realidad. Sin embargo, aún hay lugares comunes transitables por las artes y las ciencias, y es necesario volver a construir sobre ellos, hacer que vuelvan a dialogar. Este ensayo pretende repensar el papel del intelectual, ejemplificándolo a través de la figura de Julio Cortázar, para ofrecer una nueva dimensión sobre él: un intelectual ya no individual y elitista, sino colectivo y divulgativo. Esto desembocará en las conclusiones, que pretenderán dar cuenta de la intersección que se da entre la literatura y las ciencias, otorgándole a la literatura no solo la capacidad de actuar como divulgadora científica, sino también la responsabilidad de hacer durar el intento de un cambio de paradigma en el que ambas disciplinas no tengan dos pulsos distintos

MERLIN: A new tool for flood hazard forecasting at the Galicia-Costa Hydrographic Demarcation

[EN] This article presents MERLIN, a tool for flood hazard evaluation, which forecasts discharges and water depths in flood prone areas of the Galicia Costa district. The warning system operates in two stages. During the hindcast stage, hydrological models of the basins included in the system assimilate hydro-meteorological data in order to characterize soil infiltration capacity. During the forecast stage, hydrological models are fed with meteorological predictions and discharge forecasts along the basins. Forecasted discharges define boundary conditions of hydraulic models, which compute the flood extent and the water depths over the upcoming days. The performance of MERLIN was evaluated in 4 areas using discharge data from the winter months of 2019-2020. Results proved MERLIN’s ability of predicting the discharges observed afterwards.[ES] Este artículo presenta MERLIN, una nueva herramienta para estimar el riesgo de inundaciones a partir de predicciones de caudales y calados en Áreas de Riesgo Potencial Significativo de Inundaciones (ARPSIS) de la demarcación hidrográfica Galicia-Costa. El sistema MERLIN opera en dos fases. Durante una primera fase de inicialización, modelos hidrológicos de las cuencas incluidas en el sistema asimilan datos hidro-meteorológicos para caracterizar la capacidad de infiltración del terreno. Durante la fase de predicción, los modelos hidrológicos previamente inicializados se alimentan con predicciones meteorológicas para determinar los caudales esperados durante los próximos días. Las predicciones de caudal alimentan a modelos hidráulicos de las ARPSIS que determinan los calados y la extensión de zonas inundadas. El funcionamiento de MERLIN se evaluó en 4 cuencas piloto a partir de los caudales registrados durante los temporales del invierno del 2019-2020, mostrando una buena capacidad de predecir los valores posteriormente observados.El desarrollo del sistema MERLIN y el resto de trabajos presentados en este artículo fue posible gracias a la financiación aportada por Augas de Galicia dentro del Convenio de colaboración entre Augas de Galicia e a Fundación de Enxeñería Civil de Galicia para a mellora do sistema de alerta temperá de risco de inundación na demarcación hidrográfica Galicia-costa.Fraga, I.; Cea, L.; Puertas, J.; Mosqueira, G.; Quinteiro, B.; Botana, S.; Fernández, L.... (2021). MERLIN: Una nueva herramienta para la predicción del riesgo de inundaciones en la demarcación hidrográfica Galicia-Costa. Ingeniería del agua. 25(3):215-227. https://doi.org/10.4995/ia.2021.15565OJS215227253Alvarez-Garreton, C., Ryu, D., Western, A.W., Su, C.H., Crow, W.T., Robertson, E., Leahy, C. 2015. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: Comparison between lumped and semi-distributed schemes. Hydrology and Earth System Sciences, 19(4), 1659-1676. https://doi.org/10.5194/hess-19-1659-2015Arnell, N.W., Gosling, S.N. 2016. The impacts of climate change on river flood risk at the global scale. Climatic Change, 134(3), 387-401. https://doi.org/10.1007/s10584-014-1084-5Bennett, T.H., Peters, J.C. 2000. Continuous soil moisture accounting in the hydrologic Engineering Center Hydrologic Modeling System (HEC-HMS). Building partnerships, 1-10.Berghuijs, W.R., Aalbers, E.E., Larsen, J.R., Trancoso, R., Woods, R.A. 2017. Recent changes in extreme floods across multiple continents. Environmental Research Letters, 12(11), 114035. https://doi.org/10.1088/1748-9326/aa8847Bladé, E., Cea, L., Corestein, G., Escolano, E., Puertas, J., Vázquez-Cendón, E., Dolz, J., Coll, A. 2014. Iber: herramienta de simulación numérica del flujo en ríos. Revista Internacional de Metodos Numericos en Ingeniería, 30(1), 1-10. https://doi.org/10.1016/j.rimni.2012.07.004Carracedo, P. 2003. Acoplamiento de un modelo hidrodinámico de escala global con uno de escala regional para Galicia. Revista Real Academia Galega de Ciencias, 22, 85.Cea, L., Fraga, I. 2018. Incorporating antecedent moisture conditions and intraevent variability of rainfall on flood frequency analysis in poorly gauged basins. Water Resources Research, 54, 8774-8791. https://doi.org/10.1029/2018WR023194Cronshey, R. 1986. Urban hydrology for small watersheds. US Department of Agriculture Soil Conservation Service Engineering Division.García-Feal, O., González-Cao, J., Gómez-Gesteira, M., Cea, L., Domínguez, J., Formella, A. 2018. An accelerated tool for flood modelling based on Iber. Water, 10(10) 1459. https://doi.org/10.3390/w10101459Hossain, F., Siddique-E-Akbor, A.H.M., Yigzaw, W., Shah-Newaz, S., Hossain, M., Mazumder, L.C., Turk, F.J. 2014. Crossing the "valley of death": lessons learned from implementing an operational satellite-based flood forecasting system. Bulletin of the American Meteorological Society, 95(8), 1201-1207. https://doi.org/10.1175/BAMS-D-13-00176.1IPCC (2018). Global warming of 1.5°C. An IPCC Special Report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways in the context of strengthening the global response to the threat of climate change sustainable development and efforts to eradicate poverty. In Press.Jewell, S.A., Gaussiat, N. 2015. An assessment of kriging-based rain-gauge-radar merging techniques. Quarterly Journal of the Royal Meteorological Society, 141(691), 2300-2313. https://doi.org/10.1002/qj.2522Kasiviswanathan, K.S., He, J., Sudheer, K.P., Tay, J.H. 2016. Potential application of wavelet neural network ensemble to forecast streamflow for flood management. Journal of hydrology, 536, 161-173. https://doi.org/10.1016/j.jhydrol.2016.02.044Kellens, W., Vanneuville, W., Verfaillie, E., Meire, E., Deckers, P., De Maeyer, P. 2013. Flood risk management in Flanders: past developments and future challenges. Water Resources Management, 27(10), 3585-3606. https://doi.org/10.1007/s11269-013-0366-4Krajewski, W.F., Ceynar, D., Demir, I., Goska, R., Kruger, A., Langel, C., Small, S.J. 2017. Real-time flood forecasting and information system for the state of Iowa. Bulletin of the American Meteorological Society, 98(3), 539-554. https://doi.org/10.1175/BAMS-D-15-00243.1Kumar, M., Sahay, R.R. 2018. Wavelet-genetic programming conjunction model for flood forecasting in rivers. Hydrology Research, 49(6), 1880-1889. https://doi.org/10.2166/nh.2018.183Massari, C., Brocca, L., Tarpanelli, A., Moramarco, T. 2015. Data assimilation of satellite soil moisture into rainfall-runoff modelling: A complex recipe?. Remote Sensing, 7(9), 11403-11433. https://doi.org/10.3390/rs70911403McKay, M.D., Beckman, R.J., Conover, W.J. 1979 A Comparison of three methods for selecting values of input variables in the analysis of output from a computer code. Technometrics, 21(2), 239-245.Mure-Ravaud, M., Binet, G., Bracq, M., Perarnaud, J.J., Fradin, A., Litrico, X. 2016. A web based tool for operational realtime flood forecasting using data assimilation to update hydraulic states. Environmental Modelling and Software, 84, 35-49. https://doi.org/10.1016/j.envsoft.2016.06.002Naranjo, L., Taboada, J.J., Lage, A., Salsón, S., Montero, P., Souto, J.A., Pérez-Muñuzuri, V. 2001. Estudio de las anómalas condiciones meteorológicas sobre Galicia durante el otoño de los años 2000 y 2001. Revista Real Academia Galega de Ciencias, 20, 113-133Nguyen, P., Thorstensen, A., Sorooshian, S., Hsu, K., AghaKouchak, A., Sanders, B., Koren, V., Cui, Z., Smith, M. 2016. A high resolution coupled hydrologic-hydraulic model (HiResFlood-UCI) for flash flood modeling. Journal of Hydrology, 541, 401-420. https://doi.org/10.1016/j.jhydrol.2015.10.047Razmkhah, H. 2016. Comparing performance of different loss methods in rainfall-runoff modeling. Water resources, 43(1), 207-224. https://doi.org/10.1134/S0097807816120058Rosburg, T.T., Nelson, P.A., Bledsoe, B.P. 2017. Effects of urbanization on flow duration and stream flashiness: a case study of Puget Sound streams, western Washington, USA. Journal of the American Water Resources Association, 53(2), 493-507. https://doi.org/10.1111/1752-1688.12511Sanz-Ramos, M., Amengual, A., Bladé i Castellet, E., Romero, R., Roux, H. 2018. Flood forecasting using a coupled hydrological and hydraulic model (based on FVM) and highresolution meteorological model. Proceedings of River Flow 2018-Ninth International Conference on Fluvial Hydraulics (pp. 1-8) Lyon France. https://doi.org/10.1051/e3sconf/20184006028Scharffenberg, W.A, Fleming, M.J. 2006. Hydrologic modeling system HEC-HMS: User's manual. US Army Corps of Engineers Hydrologic Engineering Center.Shchepetkin, A.F., McWilliams, J.C. 2005. The regional oceanic modeling system (ROMS): a split-explicit free-surface topographyfollowing-coordinate oceanic model. Ocean Modelling, 9(4), 347-404. https://doi.org/10.1016/j.ocemod.2004.08.002Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Wang, W., Powers, J.G. 2008. A description of the Advanced Research WRF version 3. NCAR Technical note-475+ STR.Sopelana, J., Cea, L., Ruano, S. 2018. A continuous simulation approach for the estimation of extreme flood inundation in coastal river reaches affected by meso and macro tides. Natural Hazards, 93(3) 1337-1358. https://doi.org/10.1007/s11069-018-3360-6Thielen, J., Bartholmes, J., Ramos, M. H., & Roo, A. D. 2009. The European flood alert system-part 1: concept and development. Hydrology and Earth System Sciences, 13(2), 125-140. https://doi.org/10.5194/hess-13-125-2009Thiemig, V., Bisselink, B., Pappenberger, F., Thielen, J. 2015. A pan-African medium-range ensemble flood forecast system. Hydrology and Earth System Sciences, 19(8), 3365-3385. https://doi.org/10.5194/hess-19-3365-2015U.S. Department of Agriculture, Natural Resources Conservation Service. 2010. National Engineering Handbook, Washington, DCVenâncio, A., Montero, P., Costa, P., Regueiro, S., Brands, S., Taboada, J. 2019. An Integrated Perspective of the Operational Forecasting System in Rías Baixas (Galicia, Spain) with Observational Data and End-Users. In International Conference on Computational Science (pp. 229-239). Springer, Cham. https://doi.org/10.1007/978-3-030-22747-0_18Wallemarq, P., Below, R., McLean, D. 2018. UNISDR and CRED report: Economic Losses, Poverty & Disasters (1998-2017).Wanders, N., Karssenberg, D., Roo, A.D., De Jong, S.M., Bierkens, M.F.P. 2014. The suitability of remotely sensed soil moisture for improving operational flood forecasting. Hydrology and Earth System Sciences, 18(6), 2343-2357. https://doi.org/10.5194/hess-18-2343-2014Weerts, A.H., Winsemius, H.C., Verkade, J.S. 2011. Estimation of predictive hydrological uncertainty using quantile regression: examples from the National Flood Forecasting System (England and Wales). Hydrology and Earth System Sciences, 15(1), 255-265. https://doi.org/10.5194/hess-15-255-2011Xia, X., Liang, Q., Ming, X. 2019. A full-scale fluvial flood modelling framework based on a high-performance integrated hydrodynamic modelling system (HiPIMS). Advances in Water Resources, 132, 103392. https://doi.org/10.1016/j.advwatres.2019.10339

Vélez de Guevara, Luis, La creación del mundo, eds. William R. Manson y C. George Peale, Juan de la Cuesta, Delaware, 2018

Obra ressenyada: Luis VÉLEZ DE GUEVARA ; William R. MANSON y C. George PEALE, Juan DE LA CUESTA (eds.), La creación del mundo. Delaware, 2018