Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin

This study presents a new statistical downscaling method called Chaotic Statistical Downscaling (CSD). The method is based on three main steps: Phase space reconstruction for different time steps, identification of deterministic chaos and a general synchronization predictive model. The Bogotá river...

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Autores:
Duarte, Freddy Santiago
Santos Granados, Germán Ricardo
Tipo de recurso:
Part of book
Fecha de publicación:
2018
Institución:
Escuela Colombiana de Ingeniería Julio Garavito
Repositorio:
Repositorio Institucional ECI
Idioma:
eng
OAI Identifier:
oai:repositorio.escuelaing.edu.co:001/1736
Acceso en línea:
https://repositorio.escuelaing.edu.co/handle/001/1736
Palabra clave:
Agricultura
Agua - Distribución
Gestión eficiente del agua
Agrícultura
Efficient water manageme
Agricultural
Rights
closedAccess
License
http://purl.org/coar/access_right/c_14cb
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dc.title.eng.fl_str_mv Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
title Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
spellingShingle Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
Agricultura
Agua - Distribución
Gestión eficiente del agua
Agrícultura
Efficient water manageme
Agricultural
title_short Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
title_full Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
title_fullStr Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
title_full_unstemmed Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
title_sort Chaotic Statistical Downscaling (CSD): Application and Comparison in the Bogotá River Basin
dc.creator.fl_str_mv Duarte, Freddy Santiago
Santos Granados, Germán Ricardo
dc.contributor.author.none.fl_str_mv Duarte, Freddy Santiago
Santos Granados, Germán Ricardo
dc.contributor.researchgroup.spa.fl_str_mv Centro de Estudios Hidráulicos
dc.subject.armarc.none.fl_str_mv Agricultura
Agua - Distribución
topic Agricultura
Agua - Distribución
Gestión eficiente del agua
Agrícultura
Efficient water manageme
Agricultural
dc.subject.proposal.spa.fl_str_mv Gestión eficiente del agua
Agrícultura
dc.subject.proposal.eng.fl_str_mv Efficient water manageme
Agricultural
description This study presents a new statistical downscaling method called Chaotic Statistical Downscaling (CSD). The method is based on three main steps: Phase space reconstruction for different time steps, identification of deterministic chaos and a general synchronization predictive model. The Bogotá river basin was used to test the methodology. Two sources of climatic information are downscaled: the first corresponds to 47 rainfall gauges stations (1970-2016, daily) and the second is derived from the information of the global climate model MPI-ESM-MR with a resolution of 1,875° x 1,875° daily resolution. These time series were used to reconstruct the phase space using the Method of Time-Delay. The Time-Delay method allows us to find the appropriate values of the time delay and the embedding dimension to capture the dynamics of the attractor. This information was used to calculate the exponents of Lyapunov, which shows the existence of deterministic chaos. Subsequently, a predictive model is created based on the general synchronization of two dynamical systems. Finally, the results obtained are compared with other statistical downscaling models for the Bogota River basin using different measures of error which show that the proposed method is able to reproduce reliable rainfall values (RMSE=73.37).
publishDate 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2021-10-11T17:11:22Z
dc.date.available.none.fl_str_mv 2021-10-11T17:11:22Z
dc.type.spa.fl_str_mv Capítulo - Parte de Libro
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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format http://purl.org/coar/resource_type/c_3248
status_str publishedVersion
dc.identifier.isbn.none.fl_str_mv 25162330
dc.identifier.uri.none.fl_str_mv https://repositorio.escuelaing.edu.co/handle/001/1736
identifier_str_mv 25162330
url https://repositorio.escuelaing.edu.co/handle/001/1736
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationedition.spa.fl_str_mv 13th
dc.relation.citationendpage.spa.fl_str_mv 634
dc.relation.citationstartpage.spa.fl_str_mv 626
dc.relation.indexed.spa.fl_str_mv N/A
dc.relation.ispartofbook.eng.fl_str_mv International Conference on Hydroinformatics
International Conference on Hydroinformatics
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dc.publisher.spa.fl_str_mv Ed. Easy Chair Publications
dc.publisher.place.spa.fl_str_mv Italia
dc.source.spa.fl_str_mv https://www.un-ihe.org/chaotic-statistical-downscaling-csd-application-and-comparison-bogot%C3%A1-river-basin
institution Escuela Colombiana de Ingeniería Julio Garavito
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spelling Duarte, Freddy Santiago1693cfb11fbf543f5d66f3f03bf8d12e600Santos Granados, Germán Ricardof949dd96cd566df57a30454178163e04600Centro de Estudios Hidráulicos2021-10-11T17:11:22Z2021-10-11T17:11:22Z201825162330https://repositorio.escuelaing.edu.co/handle/001/1736This study presents a new statistical downscaling method called Chaotic Statistical Downscaling (CSD). The method is based on three main steps: Phase space reconstruction for different time steps, identification of deterministic chaos and a general synchronization predictive model. The Bogotá river basin was used to test the methodology. Two sources of climatic information are downscaled: the first corresponds to 47 rainfall gauges stations (1970-2016, daily) and the second is derived from the information of the global climate model MPI-ESM-MR with a resolution of 1,875° x 1,875° daily resolution. These time series were used to reconstruct the phase space using the Method of Time-Delay. The Time-Delay method allows us to find the appropriate values of the time delay and the embedding dimension to capture the dynamics of the attractor. This information was used to calculate the exponents of Lyapunov, which shows the existence of deterministic chaos. Subsequently, a predictive model is created based on the general synchronization of two dynamical systems. Finally, the results obtained are compared with other statistical downscaling models for the Bogota River basin using different measures of error which show that the proposed method is able to reproduce reliable rainfall values (RMSE=73.37).Este estudio presenta un nuevo método estadístico de reducción de escala denominado Chaotic Statistical Downscaling (CSD). El método se basa en tres pasos principales: Reconstrucción del espacio de fase para diferentes pasos temporales, identificación del caos determinista y un modelo predictivo de sincronización general. Para probar la metodología se utilizó la cuenca del río Bogotá. metodología. Se escalan dos fuentes de información climática: la primera corresponde a 47 estaciones pluviométricas (1970-2016, diaria) y la segunda se deriva de la información del modelo climático global MPI-ESM-MR con una resolución de 1,875° x 1,875° de resolución diaria. Estas series temporales se utilizaron para reconstruir el espacio de fase mediante el método del tiempo de retardo. El método Time-Delay nos permite encontrar los valores adecuados del retardo temporal y la dimensión de incrustación para captar la dinámica del atractor. Esta información se utilizó para calcular los exponentes de Lyapunov, lo que demuestra la existencia de caos determinista. Posteriormente, se crea un modelo predictivo basado en la sincronización general de dos sistemas dinámicos. dinámicos. Finalmente, los resultados obtenidos se comparan con otros modelos estadísticos de downscaling de la cuenca del río Bogotá utilizando diferentes medidas de error que muestran que el método propuesto es capaz de reproducir valores de precipitación confiables (RMSE=73.37).application/pdfengEd. 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