Avilés-Añazco A.
58
Coauthors
13
Documentos
Volumen de publicaciones por año
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| Año de publicación | Num. Publicaciones |
|---|---|
| 2015 | 1 |
| 2016 | 1 |
| 2019 | 3 |
| 2020 | 6 |
| 2021 | 2 |
Publicaciones por áreas de conocimiento
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| Área de conocimiento | Num. Publicaciones |
|---|---|
| Clima | 7 |
| Hidrología | 6 |
| Ciencia ambiental | 5 |
| Meteorología | 2 |
| Aprendizaje automático | 2 |
| Recursos hídricos | 2 |
| Cambio climático | 2 |
| Red neuronal artificial | 1 |
| Simulación por computadora | 1 |
| Pronóstico | 1 |
Publicaciones por áreas temáticas
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| Área temática | Num. Publicaciones |
|---|---|
| Geología, hidrología, meteorología | 8 |
| Ingeniería sanitaria | 4 |
| Probabilidades y matemática aplicada | 2 |
| Otros problemas y servicios sociales | 2 |
| Ciencias de la computación | 1 |
| Salud y seguridad personal | 1 |
| Tecnología (Ciencias aplicadas) | 1 |
| Física aplicada | 1 |
Principales fuentes de datos
| Origen | Num. Publicaciones |
|---|---|
| Scopus | 13 |
| Google Scholar | 7 |
| RRAAE | 2 |
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Coautores destacados por número de publicaciones
| Coautor | Num. Publicaciones |
|---|---|
| Martín Montenegro | 3 |
| Darío Zhiña | 3 |
| Fausto Fernando García Avila | 3 |
| Flores del Pino L. | 3 |
| Karina Palacios | 2 |
| Daniel E. Mendoza | 2 |
| Lenin Vladimir Campozano Parra | 2 |
| Paredes J. | 2 |
| Solera A. | 2 |
| Alex Manuel Aviles Anazco | 2 |
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Publicaciones del autor
The Assessment of Rainfall Pbkp_rediction Using Climate Models Results and Projections under Future Scenarios: the Machangara Tropical Andean Basin Case
ArticleAbstract: Rainfall is vital in the biosphere and pbkp_redicting it is essential under the possible adverse effPalabras claves:Climate models, future scenarios, Machangara basin, projection, rainfall pbkp_rediction, random forest, RCPAutores:Angel Vázquez-Patiño, Avilés-Añazco A., Mario PeñaFuentes:googlescopusA hybrid neural network-based technique to improve the flow forecasting of physical and data-driven models: Methodology and case studies in Andean watersheds
ArticleAbstract: Study region: The present study was conducted in the Machángara Alto and Chulco rivers, which belongPalabras claves:Andean watersheds, ECUADOR, Flow forecasting, Hydrological models, Neural networksAutores:Avilés-Añazco A., Farfán J.F., Jacinto Ulloa, Karina PalaciosFuentes:scopusFuture Meteorological Droughts in Ecuador: Decreasing Trends and Associated Spatio-Temporal Features Derived From CMIP5 Models
ArticleAbstract: Droughts are one of the most spatially extensive disasters that are faced by societies. Despite thePalabras claves:Climate Change, climate extremes, forecasting models, spatial-temporal projections, tropical region, weather researchAutores:Avilés-Añazco A., Daniela Elisabet Ballari, Lenin Vladimir Campozano Parra, Martín MontenegroFuentes:googlescopusEvaluation of Markov Chain Based Drought Forecasts in an Andean Regulated River Basin Using the Skill Scores RPS and GMSS
ArticleAbstract: On behalf of the decision-makers of Andean regulated river basins a drought index was developed to pPalabras claves:Andean basins, Drought index, Forecast Evaluation, Markov chains, Probabilistic forecastAutores:Alex Manuel Aviles Anazco, Avilés-Añazco A., Paredes J., Rolando Enrique Célleri Alvear, Solera A.Fuentes:googlerraaescopusImproved Rainfall Pbkp_rediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region
ArticleAbstract: Precipitation is the most relevant element in the hydrological cycle and vital for the biosphere. HoPalabras claves:Autores:Angel Vázquez-Patiño, Avilés-Añazco A., Darío Zhiña, Mario Peña, Martín MontenegroFuentes:scopus