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Hydrological Sciences Journal Volume 59, 2014 - Issue 11
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Original Articles

Missing precipitation data estimation using optimal proximity metric-based imputation, nearest-neighbour classification and cluster-based interpolation methods

Estimation des données manquantes des précipitations en utilisant la proximité optimale d’imputation métrique base, la classification du plus proche voisin et méthodes d’interpolation à base de cluster

Ramesh S. V. TeegavarapuDepartment of Civil, Environmental and Geomatics, Florida Atlantic University, Boca Raton, Florida, USACorrespondence[email protected]
Pages 2009-2026 | Received 08 Apr 2012, Accepted 11 Sep 2013, Published online: 23 Sep 2014

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Jayashree Pal & Dibakar Chakrabarty. (2023) Infilling of missing data in groundwater pollution prediction models using statistical methods. Hydrological Sciences Journal 68:15, pages 2208-2222.
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Mehari Gebreyohannes Hiben, Admasu Gebeyehu Awoke & Abraha Adugna Ashenafi. (2023) Estimation of rainfall and streamflow missing data under uncertainty for Nile basin headwaters: the case of Ghba catchments. Journal of Applied Water Engineering and Research 0:0, pages 1-15.
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Ramesh S.V. Teegavarapu, Chandra S. Pathak, John R. Mecikalski & Jayanthi Srikishen. (2016) Optimal solar radiation sensor network design using spatial and geostatistical analyses. Journal of Spatial Science 61:1, pages 69-97.
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Articles from other publishers (24)

Luisa Fernanda Rueda-Garzon, Raúl Miranda-Avilés, Alejandro Carrillo-Chávez, María Jesus Puy-Alquiza, Jorge Luis Morales-Martinez & Gabriela Zanor. (2022) Contamination assessment and potential sources of heavy metals and other elements in sediments of a basin impacted by 500 years of mining in central Mexico. Environmental Monitoring and Assessment 194:10.
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Viridiana Piña González, Raúl Miranda Avilés, Jesús Horacio Hernández Anguiano, Peter S.K. Knappett, Jorge Luis Morales Martinez, María de Jesús Puy Alquiza, Acacia Naves, Jianmin Bian, Jianli Liu, Lucía Magali Ramírez González, Juan Manuel Navarro Céspedes & Yanmei Li. (2022) Influence of geological faults on dissolved arsenic concentrations in an overexploited aquifer with shallow geothermal heat. Applied Geochemistry 144, pages 105395.
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Mehari Gebreyohannes Hiben, Admasu Gebeyehu Awoke & Abraha Adugna Ashenafi. (2022) Hydroclimatic Variability, Characterization, and Long Term Spacio-Temporal Trend Analysis of the Ghba River Subbasin, Ethiopia. Advances in Meteorology 2022, pages 1-16.
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Abinash Sahoo & Dillip Kumar Ghose. (2022) Imputation of missing precipitation data using KNN, SOM, RF, and FNN. Soft Computing 26:12, pages 5919-5936.
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Ramesh S.V. Teegavarapu. 2022. Rainfall. Rainfall 217 260 .
András Bárdossy, Ehsan Modiri, Faizan Anwar & Geoffrey Pegram. (2021) Gridded daily precipitation data for Iran: A comparison of different methods. Journal of Hydrology: Regional Studies 38, pages 100958.
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Juan Antonio Bellido-Jiménez, Javier Estévez Gualda & Amanda Penélope García-Marín. (2021) Assessing Machine Learning Models for Gap Filling Daily Rainfall Series in a Semiarid Region of Spain. Atmosphere 12:9, pages 1158.
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Priyank J. Sharma & Ramesh S. V. Teegavarapu. (2021) Influences of local hydroclimatology and teleconnections on Florida's precipitation and temperature variability. Hydrological Processes 35:9.
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Tressy Thomas & Enayat Rajabi. (2021) A systematic review of machine learning-based missing value imputation techniques. Data Technologies and Applications 55:4, pages 558-585.
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Yasaman Amini & Mohsen Nasseri. (2021) Improving spatial estimation of hydrologic attributes via optimized moving search strategies. Arabian Journal of Geosciences 14:8.
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Liang He, Suozhong Chen, Ying Liang, Manqin Hou & Junyi Chen. (2020) Infilling the missing values of groundwater level using time and space series: case of Nantong City, east coast of China. Earth Science Informatics 13:4, pages 1445-1459.
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Ramesh S.V. Teegavarapu. (2020) Precipitation imputation with probability space-based weighting methods. Journal of Hydrology 581, pages 124447.
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Matteo Sangiorgio, Stefano Barindelli, Valerio Guglieri, Giovanna Venuti & Giorgio Guariso. 2020. Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference. Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference 167 178 .
Moctar Dembélé, Fabio Oriani, Jacob Tumbulto, Grégoire Mariéthoz & Bettina Schaefli. (2019) Gap-filling of daily streamflow time series using Direct Sampling in various hydroclimatic settings. Journal of Hydrology 569, pages 573-586.
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Lim Hui Yin, Ng Yee Ting, Fam Pei Shan, Kunio Shimizu & Habibah Lateh. Estimation of precipitation data by using deterministic interpolation methods: A case study in Penang Island. Estimation of precipitation data by using deterministic interpolation methods: A case study in Penang Island.
Ramesh S.V. Teegavarapu. 2019. Trends and Changes in Hydroclimatic Variables. Trends and Changes in Hydroclimatic Variables 91 148 .
Tao Yu, Le Li, Lajiao Chen & Weijing Song. (2017) Low-quality multivariate spatio-temporal serial data preprocessing. Cluster Computing 22:S1, pages 2357-2370.
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. 2018. Radar Rainfall Data Estimation and Use. Radar Rainfall Data Estimation and Use 95 110 .
Ramesh S. V. TeegavarapuAneesh GolyQinglong Wu. (2017) Comprehensive Framework for Assessment of Radar-Based Precipitation Data Estimates. Journal of Hydrologic Engineering 22:5.
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Franklin J. Paredes Trejo, Humberto Alves Barbosa, Ivis Quiroz Ruiz & Marcos A. Peñaloza-Murillo. (2016) Patrones de Circulación Atmosféricos-Oceánicos a Meso-Escala Vinculados a las Sequías Severas y Extensas en Venezuela. Revista Brasileira de Meteorologia 31:4, pages 468-489.
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Jungjin Kim & Jae H. Ryu. (2016) A Heuristic Gap Filling Method for Daily Precipitation Series. Water Resources Management 30:7, pages 2275-2294.
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Jungjin Kim & Jae H. Ryu. (2015) Quantifying a Threshold of Missing Values for Gap Filling Processes in Daily Precipitation Series. Water Resources Management 29:11, pages 4173-4184.
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Lingbing Feng, Gen Nowak, T.J. O’Neill & A.H. Welsh. (2014) CUTOFF: A spatio-temporal imputation method. Journal of Hydrology 519, pages 3591-3605.
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Aneesh Goly & Ramesh S. V. Teegavarapu. (2014) Individual and coupled influences of AMO and ENSO on regional precipitation characteristics and extremes. Water Resources Research 50:6, pages 4686-4709.
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