evaluación del producto satelital de precipitación IMERG para derivar curvas intensidad-duración-frecuencia en Colombia

Autores/as

DOI:

https://doi.org/10.17533/udea.redin.20230212

Palabras clave:

Precipitación, Sensoramiento Remoto, Colombia

Resumen

El artículo investiga las potencialidades del producto de precipitación satelital IMERG V06B FINAL para estimar intensidades de curvas intensidad-duración-frecuencia en Colombia, a partir de información de 110 estaciones. Utilizando datos para 76 de estas estaciones en el período 2001-2019, se validó el producto IMERG a nivel diario, mensual y anual. En 60 de estas estaciones se ha encontrado que el producto obtiene mejores resultados en la escala mensual, seguida de las escalas anual y diaria, lo cual indica que la estacionalidad es la principal característica de la lluvia adecuadamente capturada por el producto. En general, la comparación entre curvas IDF existentes y las derivadas a partir de IMERG mostró subestimaciones para las intensidades de precipitación correspondientes a las duraciones más cortas (0.5 y 1 h), con errores relativos medios en el rango [-69%, +56%], y sobreestimaciones para las duraciones más grandes de 2 y 6 h, con errores medios relativos en el rango [-61%, +171%]. Los resultados obtenidos sugieren que el producto IMERG en la actualidad no es capaz de capturar la distribución de la lluvia diaria en la mayoría de las estaciones. A pesar de esto, para cerca del 20% de las estaciones, ubicadas principalmente en las regiones Orinoquía, Amazonía y Pacífica, los análisis muestran que las intensidades máximas derivadas de IMERG se encuentran dentro de +/-25% de error relativo, en comparación con las deducidas utilizando el método tradicional.

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Biografía del autor/a

Erasmo Alfredo Rodríguez-Sandoval, Universidad Nacional de Colombia

Profesor Asociado, Departamento de Ingeniería Civil y Agricultura

Camila García-Echeverri, Universidad Nacional de Colombia

Estudiante de Maestría, Departamento de Ingeniería Civil y Agricultura

Ana María González-Ramírez, Universidad Nacional de Colombia

Ingeniería Civil, Departamento de Ingeniería Civil y Agricultura

John A. Sandoval-Barrera, Universidad Nacional de Colombia

Estudiante de Maestría. Departamento de Ingeniería Civil y Agricultura

Manuel E. Patarroyo-González, Universidad Nacional de Colombia

Ingeniero Civil. Departamento de Ingeniería Civil y Agricultura

Daniela E. Agudelo D., Universidad Nacional de Colombia

Estudiante de Maestría. Departamento de Ingeniería Civil y Agricultura

Moisés A. Roldán N., Universidad Nacional de Colombia

Ingeniero Ambiental. Departamento de Ingeniería Civil y Agricultura

Citas

D. Koutsoyiannis, D. Kozonis and A. Manetas, “A mathematical framework for studying rainfall intensity-duration-frequency relationships”, Journal of Hydrology., vol. 206, pp. 118-135, 1998. [Online]. Available: https://doi.org/10.1016/S0022-1694(98)00097-3

Z. Şen, “Annual daily maximum rainfall-based IDF curve derivation methodology”, Earth Systems and Environment, no. 3, pp. 463-469, 2019. [Online]. Available: 10.1007/s41748-019-00124-x

N. Bezak, M. Šraj and M. Mikoš, “Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides”, Journal of Hydrology, no. 541, pp. 272-284, 2016. [Online]. Available: 10.1016/j.jhydrol.2016.02.058

E. V. Aristizábal Giraldo, E. García Aristizábal, R. Marín Sánchez, F. Gómez Cardona and J.C. Guzmán Martínez, “Rainfall-intensity effect on landslide hazard assessment due to climate change in north-western Colombian Andes”. Revista Facultad de Ingeniería Universidad de Antioquia, no. 103, pp. 51–66, 2020. [Online]. Available: https://doi.org/10.17533/udea.redin.20201215

B. D. Avila Rangel and H.F. Avila Rangel, “Spatial and temporal estimation of the erosivity factor R based on daily rainfall data for the department of Atlántico, Colombia”, Ingeniería e Investigación, vol. 35, no. 2, pp. 23–29, 2015. [Online]. Available: https://doi.org/10.15446/ing.investig.v35n2.47773

C. Fuentes, E. Rodríguez and E. Villareal, “HIDFUN una herramienta para la extracción y análisis de pluviogramas”, in Proceedings of the XXVIII Congreso Latinoamericano de Hidráulica, Buenos Aires, Argentina, 2018

S. M. Papalexiou and D. Koutsoyiannis, “Battle of extreme value distributions: a global survey on extreme daily rainfall”, Water Resources Research, vol. 49, no. 1, pp. 187-201, 2013. [Online]. Available: https://doi.org/10.1029/2012WR012557

F. Serinaldi and C.G. Kilsby, “Rainfall extremes: Toward reconciliation after the battle of distributions”, Water Resources Research, vol. 50, no. 1, pp. 336-352, 2014. [Online]. Available: https://doi.org/10.1002/2013WR014211

S. Emmanouil, A. Langousis, E.I. Nikolopoulos and E.N. Anagnostou, “Quantitative assessment of annual maxima, peaks-over-threshold and multifractal parametric approaches in estimating intensity-duration-frequency curves from short rainfall records”, Journal of Hydrology, vol. 589, art. no. 125151, 2020. [Online]. Available: https://doi.org/10.1016/j.jhydrol.2020.125151

D. Grajales Cardona and L.F. Carvajal Serna, “Curvas Intensidad-Duración-Frecuencia no estacionarias para la cuenca del río Medellín”, DYNA, vol. 86, no. 208, pp. 321-328, 2019. [Online]. Available: https://doi.org/10.15446/dyna.v86n208.69300

A. Langousis and D. Veneziano, “Intensity–duration–frequency curves from scaling representations of rainfall”, Water Resources Research, vol. 43, no. 2, 2007. [Online]. Available: https://doi.org/10.1029/2006WR005245

H. Van de Vyver and G.R. Demarée, “Construction of Intensity–Duration–Frequency (IDF) curves for precipitation at Lubumbashi, Congo, under the hypothesis of inadequate data”, Hydrological Sciences Journal, vol. 55, no. 4, pp. 555-564, 2010. [Online]. Available: https://doi.org/10.1080/02626661003747390

H. Tyralis and A. Langousis, “Estimation of intensity–duration–frequency curves using max-stable processes”, Stochastic Environmental Research and Risk Assessment, vol. 33, no. 1, pp. 239-252, 2019. [Online]. Available: https://doi.org/10.1007/s00477-018-1577-2

C. L. Chen, “Rainfall intensity-duration-frequency formulas”, Journal of Hydraulic Engineering, vol. 109, no. 12, pp. 1603-1621, 1983. [Online]. Available: https://doi.org/10.1061/(ASCE)0733-9429(1983)109:12(1603)

R. Vargas and M. Díaz Granados, “Curvas Sintéticas Regionalizadas de Intensidad-Duración-Frecuencia para Colombia”, in XIII Seminario de Hidráulica e Hidrología, Sociedad Colombiana de Ingenieros, Cali, Colombia, 1998

E. G. Pulgarín Dávila, “Fórmulas regionales para la estimación de curvas intensidad-frecuencia-duración basadas en las propiedades de escala de la lluvia (región andina colombiana)”, M.S. thesis, National University of Colombia, Medellín, Colombia, 2009. [Online]. Available: https://repositorio.unal.edu.co/handle/unal/70277

Universidad Nacional de Colombia (UNAL), “Estudio de actualización y análisis comparativo de las curvas IDF disponibles en el IDEAM”, Bogotá, Colombia, Final report, 2016

T. Dinku, F. Ruiz, S.J. Connor and P. Ceccato. “Validation and intercomparison of satellite rainfall estimates over Colombia”. Journal of Applied Meteorology and Climatology, vol. 49, no. 5, pp. 1004–1014, 2010. [Online]. Available: https://doi.org/10.1175/2009JAMC2260.1

M. Ma, H. Wang, P. Jia, G. Tang, D. Wang, Z. Ma and H. Yan, “Application of the GPM-IMERG Products in Flash Flood Warning: A Case Study in Yunnan, China”, Remote Sensing, vol. 12, no. 12, 1954, 2020. [Online]. Available: https://doi.org/10.3390/rs12121954

W. Guachamín, S. Páez Bimos and N. Horna, “Evaluación de productos IMERG V03 y TMPA V7 en la detección de crecidas caso de estudio cuenca del río Cañar”. Revista Politécnica, vol. 42, no. 2, pp. 31–48, 2019. [Online]. Available: https://doi.org/10.33333/rp.vol42n2.942

R. Zubieta, A. Getirana, J.C. Espinoza, W. Lavado Casimiro and L. Aragon, “Hydrological modeling of the Peruvian-Ecuadorian Amazon basin using GPM-IMERG satellite-based precipitation dataset”, Hydrology and Earth System Sciences, vol. 21, no. 7, pp. 3543-3555, 2017. [Online]. Available: https://doi.org/10.5194/hess-21-3543-2017

R. Junqueira, M.R. Viola, J.D.S. Amorim, C. Camargos, C.R. Mello, “Hydrological modeling using remote sensing precipitation data in a Brazilian savanna basin”, Journal of South American Earth Sciences, vol. 115, art no. 103773, 2022. [Online]. Available: https://doi.org/10.1016/j.jsames.2022.103773

F. Satgé, D. Ruelland, M.P. Bonnet, J. Molina and R. Pillco, “Consistency of satellite-based precipitation products in space and over time compared with gauge observations and snow- hydrological modeling in the Lake Titicaca region”, Hydrology and Earth System Sciences, vol. 23, no. 1, pp. 595-619, 2019. [Online]. Available: https://doi.org/10.5194/hess-23-595-2019

E. Rodríguez, I. Sánchez, N. Duque, P. Arboleda, C. Vega, D. Zamora, P. López, A. Kaune, M. Werner, C. García and S. Burke, "Combined Use of Local and Global Hydro Meteorological Data with Hydrological Models for Water Resources Management in the Magdalena - Cauca Macro Basin – Colombia", Water Resources Management, vol. 34, no. 7, pp. 2179-2199, 2020. [Online]. Available: https://doi.org/10.1007/s11269-019-02236-5

P. López, W.W. Immerzeel, E.A. Rodríguez Sandoval, G. Sterk and J. Schellekens, “Spatial downscaling of satellite-based precipitation and its impact on discharge simulations in the Magdalena River basin in Colombia”, Frontiers in Earth Science, vol. 6, art. no. 68, 2018. [Online]. Available: https://doi.org/10.3389/feart.2018.00068

E. Zorzetto and M. Marani, “Downscaling of Rainfall Extremes from Satellite Observations”, Frontiers in Earth Science, vol 6, art no. 68, 2018. [Online]. Available: https://doi.org/10.1029/2018WR022950

M. Zambrano Biagirni, C. Soto Escobar and O. Baez Villanueva, “Spatially-distributed IDF curves for Center-Southern Chile using IMERG”, in EGU General Assembly 2020 (poster presentation), EGU2020-21091, 2020. [Online]. Available: https://doi.org/10.5194/egusphere-egu2020-21091

M. Noor, T. Ismail, S. Shahid, M. Asaduzzaman and A. Dewan, “Evaluating intensity-duration-frequency (IDF) curves of satellite-based precipitation datasets in Peninsular Malaysia”, Atmospheric Research, vol. 248, art. no. 105203, 2021. [Online]. Available: https://doi.org/10.1016/j.atmosres.2020.105203

K. Venkatesh, R. Maheswaran and J. Devacharan, “Framework for developing IDF curves using satellite precipitation: a case study using GPM-IMERG V6 data”, Earth Science Informatics, vol. 15, no. 1, pp. 671-687, 2022. [Online]. Available: https://doi.org/10.1007/s12145-021-00708-0

M. Ombadi, P. Nguyen, S. Sorooshian and K.-L. Hsu, “Developing Intensity-Duration-Frequency (IDF) Curves from Satellite-Based Precipitation: Methodology and Evaluation”, Water Resources Research, vol. 54, no. 10, pp. 7752-7766, 2018. [Online]. Available: https://doi.org/10.1029/2018WR022929

G. J. Huffman, E.F. Stocker, D.T. Bolvin, E.J. Nelkin, J. Tan, “GPM IMERG Final Precipitation L3 Half Hourly 0.1-degree x 0.1 degree V06”, Goddard Earth Sciences Data and Information Services Center (GES DISC), 2019. [Online]. Available: https://doi.org/10.5067/GPM/IMERG/3B-HH/06

R. K. Pradhan, Y. Markonis, M.R Vargas Godoy, A. Villalba Pradas, K.M. Andreadis, E.I. Nikolopoulos, S.M. Papalexiou, A. Rahim, F.J. Tapiador and M. Hanel “Review of GPM IMERG performance: A global perspective”, Remote Sensing Environment, vol. 268, art no. 112754, 2022. [Online]. Available: https://doi.org/10.1016/j.rse.2021.112754

A. Almagro, P.T. Sanches Oliveira and L. Brocca, “Assessment of bottom-up satellite rainfall products on estimating river discharge and hydrologic signatures in Brazilian catchments”, Journal Hydrology, vol. 603, art. no. 126897, 2021. [Online]. Available: https://doi.org/10.1016/j.jhydrol.2021.126897

J. R. Rozante, D.A. Vila, J. Barboza Chiquetto, A.D.A. Fernandes and D. Souza Alvim, “Evaluation of TRMM/GPM blended daily products over Brazil”, Remote Sensing, vol. 10, no. 6, art. no. 882, 2018. [Online]. Available: https://doi.org/10.3390/rs10060882

E. D. S Freitas, V.H. R Coelho, Y. Xuan, D.D.C.D. Melo, A.N. Gadelha, E.A. Santos, C.D.O. Galvão, G.M. Ramos Filho, L. Romero Barbosa, G.J. Huffman, W.A. Petersen and C.D.N. Almeida, “The performance of the IMERG satellite-based product in identifying sub-daily rainfall events and their properties”, Journal of Hydrology, vol. 589, art. no. 125128, 2020. [Online]. Available: https://doi.org/10.1016/j.jhydrol.2020.125128

Y. Rojas, J. R. Minder, L. S. Campbell, A. Massmann and R. Garreaud, “Assessment of GPM IMERG satellite precipitation estimation and its dependence on microphysical rain regimes over the mountains of south-central Chile”, Atmospheric Research, vol. 253, art. no. 105454, 2021. [Online]. Available: https://doi.org/10.1016/j.atmosres.2021.105454

S. Palomino Ángel, J.A. Anaya Acevedo and B.A. Botero, “Evaluation of 3B42V7 and IMERG daily-precipitation products for a very high-precipitation region in northwestern South America, Atmospheric Research, vol. 217, pp. 37-48, 2019. [Online]. Available: https://doi.org/10.1016/j.atmosres.2018.10.012

D. Delgado, M. Sadaoui, W. Ludwig and W. Méndez, “Spatio-temporal assessment of rainfall erosivity in Ecuador based on RUSLE using satellite-based high frequency GPM-IMERG precipitation data”, CATENA, vol. 219, art. no. 106597, 2022. [Online]. Available: https://doi.org/10.1016/j.catena.2022.106597

B. Manz, S. Páez Bimos, N. Horna, W. Buytaert, B. Ochoa Tocachi, W. Lavado Casimiro and B. Willems, “Comparative ground validation of IMERG and TMPA at variable spatiotemporal scales in the tropical Andes”, Journal of Hydrometeorology, vol. 18, no. 9, pp. 2469-2489, 2017. [Online]. Available: https://doi.org/10.1175/JHM-D-16-0277.1

A. K. Kyaw, S. Shahid and X. Wang, “Remote Sensing for Development of Rainfall Intensity–Duration–Frequency Curves at Ungauged Locations of Yangon, Myanmar”. Water, vol. 14, art. no. 1699, 2022. [Online]. Available: https://doi.org/10.3390/w14111699

S. O. U. Foelsche, G. Kirchengast, J. Fuchsberger, J. Tan and W.A. Petersen, “Evaluation of GPM IMERG Early, Late, and Final rainfall estimates using WegenerNet gauge data in southeastern Austria”, Hydrology and Earth System Sciences, vol. 21, pp. 6559-6572, 2017. [Online]. Available: https://doi.org/10.5194/hess-21-6559-2017

F. F. Maghsood, H, Hashemi, S. Hasan Hosseini and R. Berndtsson, “Ground Validation of GPM IMERG Precipitation Products over Iran” Remote Sensing, vol. 12, no. 1, art. no. 48, 2020. [Online]. Available: https://doi.org/10.3390/rs12010048

I. W. Andi Yuda, R. Prasetia, A.R As-syakur, T. Osawa and M. Nagai, “An assessment of IMERG rainfall products over Bali at multiple time scale”, in International Conference on Sustainability Science and Management: Advanced Technology in Environmental Research (CORECT-IJJSS 2019), E3S Web of Conferences, vol. 153, art. no. 02001, 2020. [Online]. Available: https://doi.org/10.1051/e3sconf/202015302001

A. Navarro, E. García Ortega, A. Merino, J.L. Sánchez and F.J. Tapiador, “Orographic biases in IMERG precipitation estimates in the Ebro River basin (Spain): The effects of rain gauge density and altitude”, Atmospheric Research, vol. 244, art. no. 105068. 2020. [Online]. Available: https://doi.org/10.1016/j.atmosres.2020.105068

S. Moazami and M.R. Najafi, “A comprehensive evaluation of GPM-IMERG V06 and MRMS with hourly ground-based precipitation observations across Canada”, Journal of Hydrology, vol. 594, art. no. 125929, 2021. [Online]. Available: https://doi.org/10.1016/j.jhydrol.2020.125929

M. Arshad, X. Ma, J. Yin, W. Ullah, G. Ali, S. Ullah, M. Liu, M. Shahzaman and I. Ullah, “Evaluation of GPM-IMERG and TRMM-3B42 precipitation products over Pakistan”, Atmospheric Research, vol. 249, art. no. 105341. 2021. [Online]. Available: https://doi.org/10.1016/j.atmosres.2020.105341

S. M. Vallejo Bernal, V. Urrea, J.M. Bedoya Soto, D. Posada, A. Olarte, Y. Cárdenas Posso, F. Ruiz Murcia, M.T. Martínez, W.A Petersen, G.J. Huffman and G. Poveda, “Ground validation of TRMM 3B43 V7 precipitation estimates over Colombia. Part I: Monthly and seasonal timescales”, International Journal of Climatology, vol. 41, no. 1, pp. 601-624, 2020. [Online]. Available: https://doi.org/10.1002/joc.6640

S. Blenkinsop, H.J. Fowler, R. Barbero, S.C. Chan, S.B. Guerreiro, E. Kendon, G. Lenderink, E. Lewis, X.F. Li, S. Westra, L. Alexander, R.P. Allan, P. Berg, R.J.H. Dunn, M. Ekström, J.P. Evans, G. Holland, R. Jones, E. Kjellström, A. Klein Tank, D. Lettenmaier, V. Mishra, A.F. Prein, J. Sheffield and M.R. Tye, “The INTENSE project: using observations and models to understand the past, present and future of sub-daily rainfall extremes”, Advances in Science and Research, vol. 15, pp. 117-126, 2018. Online]. Available: https://doi.org/10.5194/asr-15-117-2018

O. D. Álvarez Villa, J.I. Vélez and G. Poveda, “Improved long-term mean annual rainfall fields for Colombia”, International Journal of Climatology, vol. 31, no. 14, pp. 2194-2212, 2011. [Online]. Available: https://doi.org/10.1002/joc.2232

G. Poveda, “La hidroclimatología de Colombia: una síntesis desde la escala inter-decadal hasta la escala diurna”, Revista de la Academia Colombiana de Ciencias Exactas, Fìsicas y Naturales, vol. 28, no. 107, pp. 201-222, 2004

O. Mesa, G. Poveda and L.F. Carvajal, Introducción al Clima en Colombia. Medellín, Colombia: Universidad Nacional de Colombia sede Medellín, facultad de minas, 1997

J. D. Pabón Caicedo, J.A Eslava Ramírez and R.E Gómez Torres, “Características de gran escala del clima de América Tropical”, in Meteorología Colombiana, 4th ed., Colombia: 2001, pp. 39-46

Instituto de Hidrología, Meteorología y Estudios Ambientales (IDEAM), “DHIME, consulta y descarga de datos hidrometeorológicos”, 2021. [Online]. Available: http://dhime.ideam.gov.co/webgis/home/

Giovanni NASA repository, “IMERG V06B FINAL time series of rainfall intensity at 0.5 hintervals in (mm/hr) and at a resolution of 0.10°”, 2021. [Online]. Available: https://gpm.nasa.gov/data/directory, https://giovanni.gsfc.nasa.gov/giovanni/

Z. Li, D. Yang, B. Gao, Y. Jiao, Y. Hong and T. Xu, “Multiscale Hydrologic Applications of the Latest Satellite Precipitation Products in the Yangtze River Basin Using a Distributed Hydrologic Model”. Journal of Hydrometeorology, vol. 16, no. 1, pp. 407-426, 2015. [Online]. Available: https://doi.org/10.1175/JHM-D-14-0105.1

B. Peng, J. Shi, W. Ni Meister, T. Zhao and D. Ji, “Evaluation of TRMM Multisatellite Precipitation Analysis (TMPA) Products and Their Potential Hydrological Application at an Arid and Semiarid Basin in China. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, no, 9, pp. 3915-3930, 2014. [Online]. Available: https://doi.org/10.1109/JSTARS.2014.2320756

X. Guan., J. Zhang, Q. Yang, X. Tang, C. Liu, J. Jin, Y. Liu, Z. Bao and G. Wang, “Evaluation of Precipitation Products by Using Multiple Hydrological Models over the Upper Yellow River Basin, China”, Remote Sensing, vol. 12, no. 24, art. no. 4023, 2020. [Online]. Available: https://doi.org/10.3390/rs12244023

Z. Wang, J. Chen, C. Lai, R. Zhong., X. Chen and H. Yu, “Hydrologic assessment of the TMPA 3B42-V7 product in a typical alpine and gorge region: the Lancang River basin, China”, Hydrology Research, vol. 49, no. 6, pp. 2002-2015, 2018. [Online]. Available: https://doi.org/10.2166/nh.2018.024

B. Zhu, Y. Huang, Z. Zhang, R. Kong, J. Tian, Y. Zhou., S. Chen and Z, Duan, “Evaluation of TMPA Satellite Precipitation in Driving VIC Hydrological Model over the Upper Yangtze River Basin, Water, vol. 12, no, 11, 2020. [Online]. Available: https://doi.org/10.3390/w12113230

R. J. Donaldson, R.M. Dyer and M.J. Kraus, “An Objective Evaluator of Techniques for Predicting Severe Weather Events”, Preprints Ninth Conference on Severe Local Storms, Norman, Amer, art. no. 197525, pp. 321-326, 1975

C. A. Doswell III, R. Davies Jones and D.L. Keller, “On Summary Measures of Skill in Rare Event Forecasting Based on Contingency Tables, Weather and Forecasting, vol. 5, no. 4, pp. 576–585, 1990. [Online]. Available: https://doi.org/10.1175/1520-0434(1990)005<0576:OSMOSI>2.0.CO;2

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2023-02-07

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Rodríguez-Sandoval, E. A., García-Echeverri, C., González-Ramírez, A. M., Sandoval-Barrera, J. A., Patarroyo-González, M. E., Agudelo D., D. E., & Roldán N., M. A. (2023). evaluación del producto satelital de precipitación IMERG para derivar curvas intensidad-duración-frecuencia en Colombia. Revista Facultad De Ingeniería Universidad De Antioquia, (110), 31–47. https://doi.org/10.17533/udea.redin.20230212

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