يعرض 1 - 20 نتائج من 79 نتيجة بحث عن '"Daily variability"', وقت الاستعلام: 0.65s تنقيح النتائج
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    Academic Journal

    المساهمون: Liguori, C, Spanetta, M, Fernandes, M, Izzi, F, Placidi, F, Mercuri, Nb

    Relation: info:eu-repo/semantics/altIdentifier/pmid/34883462; info:eu-repo/semantics/altIdentifier/wos/WOS:000737047600018; volume:94; firstpage:95; lastpage:99; numberofpages:5; journal:SEIZURE; http://hdl.handle.net/2108/285977; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85120643968

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    Academic Journal

    المساهمون: Proto, Daniela, Roberto, Langella, Alfredo, Testa

    Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000373625500046; volume:9; issue:3; journal:ENERGIES; http://hdl.handle.net/11588/660690; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84962815591

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    Dissertation/ Thesis

    المساهمون: Ochoa Jaramillo, Andrés, Muñoz Hoyos, Estefanía, Muñoz, Estefanía, Ochoa, Andrés, Zuluaga, Diana 0000-0003-0604-1017, Zuluaga, Diana

    وصف الملف: 256 páginas; application/pdf

    Relation: LaReferencia; Anderson, T. W. y Darling, D. A.: Asymptotic Theory of Certain ”Goodness of Fit” Criteria Based on Stochastic Processes, The Annals of Mathematical Statistics, 23, 193 – 212, https://doi.org/10.1214/aoms/1177729437, 1952.; Assunção, H. F., Escobedo, J. F., y Oliveira, A. P.: Modelling frequency distributions of 5 minute-averaged solar radiation indexes using Beta probability functions, Theoretical and Applied Climatology, 75, 213–224, https://doi.org/10.1007/s00704-003-0733-9, 2003.; Babar, B., Graversen, R., y Boström, T.: Solar radiation estimation at high latitudes: Assessment of the CMSAF databases, ASR and ERA5, Solar Energy, 182, 397–411, https://doi.org/https://doi.org/10.1016/j.solener.2019.02.058, 2019.; Benavides, H. O., Simbaqueva, O., y Zapata, H. J.: Atlas de Radiación Solar, Ultravioleta y Ozono de Colombia, IDEAM, Bogotá, Colombia, 2017.; Bendt, P., Collares-Pereira, M., y Rabl, A.: The frequency distribution of daily insolation values, Solar Energy, 27, 1–5, 1981.; Bird, R. y Hulstrom, R. L.: Direct insolation models, https://doi.org/10.2172/5626683, 1980.; Bird, R. E. y Hulstrom, R. L.: Simplified clear sky model for direct and diffuse insolation on horizontal surfaces, https://doi.org/10.2172/6510849, 1981.; Bonilla, J.: Evaluación de la oferta solar potencial para la producción de electricidad en zona rural del municipio de Sogamoso (Boyacá, Colombia), Ingeniería geográfica y ambiental, Universidad de Ciencias Aplicadas y Ambientales, URL https://repository.udca.edu.co/handle/11158/415, 2014.; Cano Uribe, L., Carmona, M., Martinez, A., y Arias, P.: Estimación y pronóstico de radiación solar en el valle de Aburrá – Colombia, Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales, 46, 529–549, https://doi.org/10.18257/raccefyn.1576, 2022.; Contreras, W., Galban, M., y Sepúlveda, S.: Análisis estadístico de la radiación solar en la ciudad de Cúcuta, Entre Ciencia e Ingeniería, 12, https://doi.org/10.31908/19098367.3698, 2018.; Cooley, J. W. y Tukey, J. W.: An Algorithm for the Machine Calculation of Complex Fourier Series, Mathematics of Computation, 19, 297–301, 1965.; Correa, N.: Caracterización de la radiación solar para la estimación del potencial de energía fotovoltaica en entornos urbanos, caso de estudio: Valle de Aburra, Maestria en ingenieria - recursos hidráulicos, Universidad Nacional de Colombia, URL https://repositorio.unal.edu.co/handle/unal/78359, 2020.; Correa, N., Mesa, O. J., y Hoyos, C. D.: Estimation of photovoltaic energy generated in urban environments, case: Medellín Metropolitan Area (MMA)(Colombia), Rep. tec., Copernicus Meetings, 2021.; Cortés, J. D.: Caracterización del potencial energético solar del departamento Norte de Santander, Maestría en gestión sostenible de la energía, Universidad Jorge Tadeo Lozano, 2019.; Dodge, Y.: The Concise Encyclopedia of Statistics, Springer New York, New York, NY, https://doi.org/10.1007/978-0-387-32833-1, 2008.; Engerer, N. A. y Mills, F. P.: KPV: A clear-sky index for photovoltaics, Solar Energy, 105, 679–693, https://doi.org/10.1016/j.solener.2014.04.019, 2014.; Espinoza Villar, J. C., Ronchail, J., Guyot, J. L., Cochonneau, G., Naziano, F., Lavado, W., De Oliveira, E., Pombosa, R., y Vauchel, P.: Spatio-temporal rainfall variability in the Amazon basin countries (Brazil, Peru, Bolivia, Colombia, and Ecuador), International Journal of Climatology, 29, 1574–1594, https://doi.org/10.1002/joc.1791, 2009.; Forero, N. L., Caicedo, L. M., y Gordillo, G.: Correlation of global solar radiation values estimated and measured on an inclined surface for clear days in Bogotá, Renewable Energy, 32, 2590–2602, https://doi.org/10.1016/j.renene.2006.12.012, 2007.; Froehlich, C. y Brusa, R. W.: Solar Radiation and its Variation in Time, Solar Physics, 74, 209–215, https://doi.org/10.1007/BF00151291, 1981.; Haberreiter, M., Schöll, M., Dudok de Wit, T., Kretzschmar, M., Misios, S., Tourpali, K., y Schmutz, W.: A new observational solar irradiance composite, Journal of Geophysical Research: Space Physics, 122, 5910–5930, https://doi.org/10.1002/2016JA023492, 2017.; Hansen, J. W.: Stochastic daily solar irradiance for biological modeling applications, Agricultural and Forest Meteorology, 94, 53–63, https://doi.org/10.1016/S0168-1923(99)00003-9, 1999.; Hernández, J., Sáenz, E., y Vallejo, W.: Estudio del Recurso Solar en la Ciudad de Bogotá para el Diseño de Sistemas Fotovoltaicos Interconectados Residenciales, Revista Colombiana de Física, 42, 2010.; Hersbach, H., Bell, B., Berrisford, P., Hirahara, S., Horanyi, A., Muñoz-Sabater, J., Nicolas, J., Peubey, C., Radu, R., Schepers, D., Simmons, A., Soci, C., Abdalla, S., Abellan, X., Balsamo, G., Bechtold, P., Biavati, G., Bidlot, J., Bonavita, M., Chiara, G., Dahlgren, P., Dee, D., Diamantakis, M., Dragani, R., Flemming, J., Forbes, R., Fuentes, M., Geer, A., Haimberger, L., Healy, S., Hogan, R. J., Holm, E., Janiskova, M., Keeley, S., Laloyaux, P., Lopez, P., Lupu, C., Radnoti, G., Rosnay, P., Rozum, I., Vamborg, F., Villaume, S., y Th epaut, J.: The ERA5 global reanalysis, Quarterly Journal of the Royal Meteorological Society, 146, 1999–2049, https://doi.org/10.1002/qj.3803, 2020.; Hodges, J. L.: The significance probability of the smirnov two-sample test, Arkiv för Matematik, 3, 469 – 486, https://doi.org/10.1007/BF02589501, 1958.; Ianetz, A. y Kudish, A.: A method for determining the solar global and defining the diffuse and beam irradiation on a clear day, en: Modeling Solar Radiation at the Earth’s Surface: Recent Advances, editado por Badescu, V., cap. 4, pp. 93–113, Springer-Verlag Berlin Heidelberg, https://doi.org/10.1007/978-3-540-77455-6 4, 2008.; Ibánez, M., Rosell, J. I., y Beckman, W. A.: A bi-variable probability density function for the daily clearness index, Solar Energy, 75, 73–80, https://doi.org/10.1016/S0038-092X(03)00123-3, 2003.; Iqbal, M.: An Introduction to Solar Radiation, Academic Press, Toronto, 1983.; Jiang, H., Lu, N., Qin, J., Tang, W., y Yao, L.: A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data, Renewable and Sustainable Energy Reviews, 114, 109 327, https://doi.org/https://doi.org/10.1016/j.rser.2019.109327, 2019.; Kolmogorov, A.: Sulla determinazione empirica di una lgge di distribuzione, Inst. Ital. Attuari, Giorn., 4, 83–91, 1933.; Larsen, G. A. y Pense, R. B.: Stochastic Simulation of Daily Climate Data, Rep. tec., United States Department of Agriculture, 1981.; Liu, B. Y. y Jordan, R. C.: The interrelationship and characteristic distribution of direct, diffuse and total solar radiation, Solar Energy, 4, 1–19, https://doi.org/10.1016/0038-092X(60)90062-1, 1960.; Loew, A., Bell, W., Brocca, L., Bulgin, C. E., Burdanowitz, J., Calbet, X., Donner, R. V., Ghent, D., Gruber, A., Kaminski, T., Kinzel, J., Klepp, C., Lambert, J.-C., Schaepman-Strub, G., Schröder, M., y Verhoelst, T.: Validation practices for satellite-based Earth observation data across communities, Reviews of Geophysics, 55, 779–817, https://doi.org/10.1002/2017RG000562, 2017.; Luna-Carlosama, C., Jiménez-García, F., Moreno-Chuquen, R., y Mulcué-Nieto, L.: Potencial de irradiación solar para generar electricidad en el departamento del Putumayo de Colombia, Revista UIS Ingeniería, 19, 2020.; Muñoz Hoyos, E.: Soil moisture dynamics in water- and energy-limited ecosystems. Application to slope stability, Phd thesis, Universidad Nacional de Colombia, Sede Medellín, URL https://repositorio.unal.edu.co/handle/unal/76885, 2019.; Muñoz, E. y Ochoa, A.: Climatic traits on daily clearness and cloudiness indices, Biogeosciences, 18, 573–584, https://doi.org/10.5194/bg-18-573-2021, 2021.; Muñoz-Sabater, J.: First ERA5-Land dataset to be released this spring, ECMWF Newsletter, 139, 8–9, 2019.; N.L. Forero, W. Mesa, M. A. Martinez, L.M. Caicedo, G. G.: Estimacion del valor medio mensual del índice de claridad atmosférico (Kt) para Bogotá, a partir de datos de radiación solar global, Revista Colombiana De Física, 40, 167–169, 2008.; NOAA: US standard atmosphere 1976, National Oceanic and Atmospheric Administration, 1976.; Ojeda, E., Candelo, J., y Silva-Ortega, J.: Caracterización de los potenciales de Energía Solar y Eólica para la integración de Proyectos sostenibles en Comunidades Indígenas en La Guajira Colombia, Revista Espacios, 38, 2017.; Olseth, J. A. y Skartveit, A.: A probability density function for daily insolation within the temperate storm belts, Solar Energy, 33, 533–542, https://doi.org/10.1016/0038-092X(84)90008-2, 1984.; Pearson, K.: X. On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling, The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 50, 157–175, https://doi.org/10.1080/14786440009463897, 1900.; Pelosi, A., Terribile, F., D’Urso, G., y Chirico, G. B.: Comparison of ERA5-Land and UERRA MESCAN-SURFEX Reanalysis Data with Spatially Interpolated Weather Observations for the Regional Assessment of Reference Evapotranspiration, Water, 12, https://doi.org/10.3390/w12061669, 2020.; Podestá, G. P., Nuñez, L., Villanueva, C. A., y Skansi, M. A.: Estimating daily solar radiation in the Argentine Pampas, Agricultural and Forest Meteorology, 123, 41–53, https://doi.org/10.1016/j.agrformet.2003.11.002, 2004.; Poveda, G.: La hidroclimatología de Colombia: Una síntesis desde la escala inter-decadal hasta la escala diurna, Rev. Acad. Colomb. Cienc, 28, 201–222, 2004.; Poveda, G. y Mesa, O. J.: On the existence of Lloró (the rainiest locality on Earth): Enhanced ocean-land-atmosphere interaction by a low-level jet, Geophysical Research Letters, 27, 1675–1678, https://doi.org/https://doi.org/10.1029/1999GL006091, 2000.; Poveda, G., Mesa, O. J., Salazar, L. F., Arias, P. A., Moreno, H. A., Vieira, S. C., Agudelo, P. A., Toro, V. G., y Alvarez, J. F.: The Diurnal Cycle of Precipitation in the Tropical Andes of Colombia, Monthly Weather Review, 133, 228 – 240, https://doi.org/10.1175/MWR-2853.1, 2005.; Ramirez Camargo, L. y Schmidt, J.: Simulation of multi-annual time series of solar photovoltaic power: Is the ERA5-land reanalysis the next big step?, Sustainable Energy Technologies and Assessments, 42, 100 829, https://doi.org/10.1016/j.seta.2020.100829, 2020.; Richardson, C. W. C.: Stochastic simulation of daily precipitation, temperature, and solar radiation, Water Resources Research, 17, 182, https://doi.org/10.1029/WR017i001p00182, 1981.; Robinson, N.: Solar Radiation, Elsevier Publishing Company, Amsterdam, 1966.; Rodríguez, D., Hernández, J., y Simbaqueva, O.: Análisis estadístico del índice de claridad atmosférica para la ciudad de Bogotá, Revista Científica Universidad Distrital Francisco José Caldas, 21, https://doi.org/10.14483/udistrital.jour.RC.2015.21.a6, 2015.; Salazar, G., Gueymard, C., Galdino, J. B., de Castro Vilela, O., y Fraidenraich, N.: Solar irradiance time series derived from high-quality measurements, satellite-based models, and reanalyses at a near-equatorial site in Brazil, Renewable and Sustainable Energy Reviews, 117, 109 478, https://doi.org/https://doi.org/10.1016/j.rser.2019.109478, 2020.; Scholz, F. y Stephens, M.: K-Sample Anderson-Darling Tests, Journal of the American Statistical Association, 82, 918–924, https://doi.org/10.2307/2288805, 1987.; Schröder, C. y Rahmann, S.: A hybrid parameter estimation algorithm for beta mixtures and applications to methylation state classification, Algorithms for Molecular Biology, pp. 12–21, https://doi.org/10.1186/s13015-017-0112-1, 2017.; Serna, L. M., Arias, P. A., y Vieira, S.: Las corrientes superficiales de chorro del Chocó y el Caribe durante los eventos de El Niño y El Niño Modoki, Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales, 42, 410–421, https://doi.org/10.18257/raccefyn.705, 2018.; Sierra, J., Arias, P., Durán-Quesada, A., Tapias, K., Vieira, S., y Martinez, A.: The Choco low-level jet: past, present and future, Climate Dynamics, 56, https://doi.org/10.1007/s00382-020-05611-w, 2021.; Smirnov, N. V.: Estimate of deviation between empirical distribution functions in two independent samples, Bulletin Moscow University, 2, 3–16, 1939.; Thies: Radiation, Adolf Thies GmbH & Co, Göttingen, Germany, URL https://www.thiesclima.com/db/dnl/THIES-catalog-radiation-e-010133-05-10.pdf, 2010.; Tovar-Pescador, J.: Modelling the statistical properties of solar radiation and proposal of a technique based on Boltzmann statistics, en: Modeling Solar Radiation at the Earth’s Surface: Recent Advances, editado por Badescu, V., cap. 3, pp. 55–91, Springer-Verlag Berlin Heidelberg, https://doi.org/10.1007/978-3-540-77455-6 3, 2008.; Tran, V. L.: Stochastic models of solar radiation processes, Phd, Université d’Orléans, 2013.; Urraca, R., Huld, T., Gracia-Amillo, A., Martinez-de Pison, F. J., Kaspar, F., y Sanz-Garcia, A.: Evaluation of global horizontal irradiance estimates from ERA5 and COSMO-REA6 reanalyses using ground and satellite-based data, Solar Energy, 164, 339–354, https://doi.org/10.1016/j.solener.2018.02.059, 2018.; Urrego-Ortiz, J., Alejandro Martínez, J., Arias, P. A., y Jaramillo-Duque, A.: Assessment and day-ahead forecasting of hourly solar radiation in Medellín, Colombia, Energies, 12, 1–29, https://doi.org/10.3390/en12224402, 2019.; Vanegas, M., Villicaña, E., y Arrieta, L.: Cuantificación y caracterización de la radiación solar en el departamento de La Guajira-Colombia mediante el cálculo de transmisibilidad atmosférica, Prospect, 13, 2015.; Vélez-Pereira, A., Vergara-Vásquez, E., Barraza-Coronell, W., y Agudelo-Yepes, D.: Evaluación de un modelo estadístico para estimar la radiación solar en Magdalena, Colombia, TecnoLógicas, 18, 2015.; Wilks, D.: Simultaneous stochastic simulation of daily precipitation, temperature and solar radiation at multiple sites in complex terrain, Agricultural and Forest Meteorology, 96, 85–101, https://doi.org/10.1016/S0168-1923(99)00037-4, 1999.; Yang, D. y Bright, J. M.: Worldwide validation of 8 satellite-derived and reanalysis solar radiation products: A preliminary evaluation and overall metrics for hourly data over 27 years, Solar Energy, 210, 3–19, https://doi.org/https://doi.org/10.1016/j.solener.2020.04.016, 2020.; Zuluaga, D. P. y González, D.: Evaluación de metodologías de interpolación de radiación solar en Colombia, Ingeniería ambiental, Universidad EIA, URL https://repository.eia.edu.co/handle/11190/2241, 2018.; S ̧ ahin, A. D. y S ̧ en, Z.: Solar Irradiation Estimation Methods from Sunshine and Cloud Cover Data, en: Modeling Solar Radiation at the Earth’s Surface, editado por Badescu, V., cap. 6, pp. 145–173, Springer-Verlag Berlin Heidelberg, 2008.; https://repositorio.unal.edu.co/handle/unal/83296; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.co/

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    Academic Journal

    المؤلفون: Meybeck, Michel, Moatar, Florentina

    المساهمون: Structure et fonctionnement des systèmes hydriques continentaux (SISYPHE), Université Pierre et Marie Curie - Paris 6 (UPMC)-École Pratique des Hautes Études (EPHE), Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Mines Paris - PSL (École nationale supérieure des mines de Paris), Université Paris Sciences et Lettres (PSL)-Centre National de la Recherche Scientifique (CNRS), Transferts continentaux : forçages anthropiques, climatiques et géodynamiques, Institut des Sciences de la Terre d'Orléans (ISTO), Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Université de Tours (UT)-Centre National de la Recherche Scientifique (CNRS), CNRS-EC2CO

    المصدر: ISSN: 0885-6087.

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