Evaluation of Seven Gap-Filling Techniques for Daily Station-Based Rainfall Datasets in South Ethiopia
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Tilahun Hordofa | Alefu Chinasho | Bobe Bedadi | Tesfaye Lemma | Tamado Tana | Bisrat Elias | T. Tana | B. Bedadi | T. Lemma | T. Hordofa | A. Chinasho | Bisrat Elias
[1] Z. L. Chuan,et al. Determination of the best single imputation algorithm for missing rainfall data treatment , 2016 .
[2] Carolina Guardiola-Albert,et al. Estimating extremely large amounts of missing precipitation data , 2020 .
[3] A. R. Peralta-Hernández. Comparative analysis of indices of extreme rainfall events: Variations and trends from southern México , 2009 .
[4] K. Nandalal,et al. A Comparison of Methods of Estimating Missing Daily Rainfall Data , 2016 .
[5] N. D. K. Dayawansa,et al. A comparison of methods used in estimating missing rainfall data , 2007 .
[6] J. Gironás,et al. Spatial estimation of daily precipitation in regions with complex relief and scarce data using terrain orientation , 2014 .
[7] N. Elagib,et al. Gap filling and homogenization of climatological datasets in the headwater region of the Upper Blue Nile Basin, Ethiopia , 2017 .
[8] Paulin Coulibaly,et al. Comparison of neural network methods for infilling missing daily weather records , 2007 .
[9] A. Fares,et al. Comparison of Rainfall Interpolation Methods in a Mountainous Region of a Tropical Island , 2011 .
[10] Y. Pachepsky,et al. Reconstructing missing daily precipitation data using regression trees and artificial neural networks for SWAT streamflow simulation. , 2010 .
[11] David C. Goodrich,et al. Spatial interpolation of precipitation in a dense gauge network for monsoon storm events in the southwestern United States , 2008 .
[12] Ali Reza Nafarzadegan,et al. A modified distance-weighted approach for filling annual precipitation gaps: application to different climates of Iran , 2014, Theoretical and Applied Climatology.
[13] Frédérique Seyler,et al. A Quantile Mapping Bias Correction Method Based on Hydroclimatic Classification of the Guiana Shield , 2017, Sensors.
[14] T. Giambelluca,et al. Comparison of geostatistical approaches to spatially interpolate month‐year rainfall for the Hawaiian Islands , 2016 .
[15] A. Berti,et al. Comparison of Four Methods to Fill the Gaps in Daily Precipitation Data Collected by a Dense Weather Network , 2013 .
[16] Wei Li,et al. A Method for Improving Imputation and Prediction Accuracy of Highly Seasonal Univariate Data with Large Periods of Missingness , 2019, Wirel. Commun. Mob. Comput..
[17] Bodo Ahrens,et al. Distance in spatial interpolation of daily rain gauge data , 2005 .
[18] Andualem Shigute Boke. Comparative Evaluation of Spatial Interpolation Methods for Estimation of Missing Meteorological Variables over Ethiopia , 2017 .
[19] Asaad M. Armanuos,et al. Cross Assessment of Twenty-One Different Methods for Missing Precipitation Data Estimation , 2020, Atmosphere.
[20] Comparison of the Relevance and the Performance of Filling in Gaps Methods in Climate Datasets , 2018, Advances in Intelligent Systems and Computing.
[21] W. Y. Tang,et al. Comparative studies of various missing data treatment methods - Malaysian experience , 1996 .
[22] Madhuri S. Rishi,et al. Performance of various techniques in estimating missing climatological data over snowbound mountainous areas of Karakoram Himalaya , 2018 .
[23] Ramesh S. V. Teegavarapu,et al. Infilling missing precipitation records using variants of spatial interpolation and data‐driven methods: use of optimal weighting parameters and nearest neighbour‐based corrections , 2018 .
[24] Christian Bernhofer,et al. Statistically downscaled climate dataset for East Africa , 2019, Scientific Data.
[25] Andrew Kusiak,et al. Assessment of different methods for estimation of missing data in precipitation studies , 2017 .
[26] G. Mariéthoz,et al. Missing Data Imputation for Multisite Rainfall Networks: A Comparison between Geostatistical Interpolation and Pattern-Based Estimation on Different Terrain Types , 2020 .
[27] John O. Odiyo,et al. Filling of missing rainfall data in Luvuvhu River Catchment using artificial neural networks , 2011 .
[28] Jorge Luis Morales,et al. Analysis of a new spatial interpolation weighting method to estimate missing data applied to rainfall records , 2019, Atmósfera.
[29] Lan-hai Li,et al. Reconstruction of hydrometeorological time series and its uncertainties for the Kaidu River Basin using multiple data sources , 2013, Theoretical and Applied Climatology.
[30] Mahsa Hasanpour Kashani,et al. Evaluation of efficiency of different estimation methods for missing climatological data , 2011, Stochastic Environmental Research and Risk Assessment.
[31] F. Yuan,et al. Comparison of Spatial Interpolation Schemes for Rainfall Data and Application in Hydrological Modeling , 2017 .
[32] G. La Loggia,et al. Comparative analysis of different techniques for spatial interpolation of rainfall data to create a serially complete monthly time series of precipitation for Sicily, Italy , 2011, Int. J. Appl. Earth Obs. Geoinformation.
[33] SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018 , 2020 .
[34] Kuk‐Hyun Ahn,et al. New gridded rainfall dataset over the Korean peninsula: Gap infilling, reconstruction, and validation , 2021, International Journal of Climatology.
[35] Vicente Caselles,et al. Multiple imputation of rainfall missing data in the Iberian Mediterranean context , 2017 .
[36] T. Giambelluca,et al. Characterizing the Uncertainty and Assessing the Value of Gap-Filled Daily Rainfall Data in Hawaii , 2020, Journal of Applied Meteorology and Climatology.
[37] Lukas Gudmundsson,et al. Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations – a comparison of methods , 2012 .
[38] Christian W. Dawson,et al. SDSM - a decision support tool for the assessment of regional climate change impacts , 2002, Environ. Model. Softw..
[39] M. Clark,et al. Gridded Ensemble Precipitation and Temperature Estimates for the Contiguous United States , 2015 .
[40] Ali Selamat,et al. Infilling Missing Rainfall and Runoff Data for Sarawak, Malaysia Using Gaussian Mixture Model Based K-Nearest Neighbor Imputation , 2019, IEA/AIE.
[41] M. Maugeri,et al. Improving estimation of missing values in daily precipitation series by a probability density function‐preserving approach , 2010 .
[42] Roslinazairimah Zakaria,et al. Estimation of Missing Rainfall Data Using Spatial Interpolation and Imputation Methods , 2015 .
[43] Jamshid Piri,et al. Application of ANN and ANFIS models for reconstructing missing flow data , 2010, Environmental monitoring and assessment.
[44] Ramesh S. V. Teegavarapu,et al. Improved weighting methods, deterministic and stochastic data-driven models for estimation of missing precipitation records , 2005 .
[45] C. Blanco,et al. Assessment of satellite products for filling rainfall data gaps in the Amazon region , 2021, Natural Resource Modeling.
[46] Kwangmin Kang,et al. Interpolation of Missing Precipitation Data Using Kernel Estimations for Hydrologic Modeling , 2015 .
[47] M. Clark,et al. SC-Earth: A Station-based Serially Complete Earth Dataset from 1950 to 2019 , 2021, Journal of Climate.
[48] Wan Norliyana Wan Ismail,et al. Estimation of rainfall and stream flow missing data for Terengganu, Malaysia by using interpolation technique methods , 2017 .
[49] B. Bonaccorso,et al. A new approach for processing climate missing databases applied to daily rainfall data in Soummam watershed, Algeria , 2019, Heliyon.
[50] R. Teegavarapu. Spatial interpolation using nonlinear mathematical programming models for estimation of missing precipitation records , 2012 .
[51] Vishal Singh,et al. Data assimilation for constructing long-term gridded daily rainfall time series over Southeast Asia , 2019, Climate Dynamics.
[52] P. Fiener,et al. Comparison and evaluation of spatial interpolation schemes for daily rainfall in data scarce regions , 2012 .
[53] Guillermo Trincado,et al. Alternative approaches for estimating missing climate data: application to monthly precipitation records in South-Central Chile , 2018, Forest Ecosystems.
[54] R. Stott,et al. The World Bank , 2008, Annals of tropical medicine and parasitology.
[55] A. Mekasha,et al. Trends in daily observed temperature and precipitation extremes over three Ethiopian eco‐environments , 2014 .
[56] S. Vicente‐Serrano,et al. Gap Filling of Monthly Temperature Data and Its Effect on Climatic Variability and Trends , 2019, Journal of Climate.
[57] S. Walker,et al. Evaluation of an inverse distance weighting method for patching daily and dekadal rainfall over the Free State Province, South Africa , 2016 .
[58] C. Stow. High-resolution studies of rainfall on Norfolk Island. Part IV: observations of fractional time raining , 2002 .
[59] Chen-Wuing Liu,et al. Estimation of the spatial rainfall distribution using inverse distance weighting (IDW) in the middle of Taiwan , 2012, Paddy and Water Environment.
[60] D. Alexakis,et al. A Quantile Mapping Method to Fill in Discontinued Daily Precipitation Time Series , 2020 .
[61] W. Z. W. Zin,et al. Comparison of the Methods to Estimate Missing Values in Monthly Precipitation Data , 2017 .
[62] Caroline Geck,et al. The World Factbook , 2017 .
[63] Xiao-Hua Zhou,et al. Multiple imputation: review of theory, implementation and software , 2007, Statistics in medicine.