Stochastic Characteristics and Modelling of Monthly Rainfall Time Series of Ilorin, Nigeria

Journals Menu

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Open Journal of Modern Hydrology

ISSN Print: 2163-0461
ISSN Online: 2163-0496
www.scirp.org/journal/ojmh
E-mail: ojmh@scirp.org

Google-based Impact Factor: 2.33
Citations

Journals Menu

"Stochastic Characteristics and Modelling of Monthly Rainfall Time Series of Ilorin, Nigeria"
written by Ahaneku, I. Edwin, Otache, Y. Martins,
published by Open Journal of Modern Hydrology, Vol.4 No.3, 2014

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Renewable energy potential estimation using climatic-weather-forecasting machine learning algorithms
	Energies, 2023

[2]	Comparison of Monte Carlo Schemes in the Modeling of Extreme Flood in Tropical Rain Forest Basins
	KSCE Journal of Civil Engineering, 2023

[3]	Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms. Energies 2023, 16, 1603
	2023

[4]	The Determination of the Most Appropriate Probability Distribution Models for the Meteorological Variables
	Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2022

[5]	Statistical comparison between SARIMA and ANN's performance for surface water quality time series prediction
	Environmental Science and Pollution Research, 2021

[6]	Assessment and Modelling of Flash Flood Risk from Extreme Rainfall and Soil Permeability in Port Harcourt Metropolis, Nigeria
	2021

[7]	A SARIMA and Adjusted SARIMA Models in a Seasonal Nonstationary Time Series; Evidence of Enugu Monthly Rainfall
	2021

[8]	The application of new distribution in determining extreme hydrologic events such as floods
	2020

[9]	Modelling and Forecasting Seasonal Behavior of Rainfall in Abuja, Nigeria; A SARIMA Approach
	2020

[10]	SARIMA Approach to Generating Synthetic Monthly Rainfall in the Sinú River Watershed in Colombia
	2020

[11]	Modeling and Forecasting Seasonal Behavior of Rainfall in Abuja, Nigeria; A SARIMA Approach
	2020

[12]	Monthly Prediction of Rainfall in Nickel Mine Area with Artificial Neural Network
	2020

[13]	Modelling and prediction of coastal Andhra rainfall using ARIMA and ANN models
	2020

[14]	Improved Rainfall Prediction Using Combined Pre-Processing Methods and Feed-Forward Neural Networks
	2019

[15]	Seasonal Autoregressive Integrated Moving Average (SARIMA) Model for the Analysis of Frequency of Monthly Rainfall in Osun State, Nigeria
	2019

[16]	SEASONAL AND PERIODIC AUTOREGRESSIVE TIME SERIES MODELS USED FOR FORECASTING ANALYSIS OF RAINFALL DATA
	International Journal of Advanced Research in Engineering and Technology, 2019

[17]	MODELLING MONTHLY RAINFALL IN OWERRI, IMO STATE NIGERIA USING SARIMA
	EPRA International Journal of Multidisciplinary Research, 2019

[18]	MODELLING MEAN ANNUAL RAINFALL PATTERN IN PORT HARCOURT, NIGERIA
	EPRA International Journal of Research and Development (IJRD), 2018

[19]	Evaluation of Best-Fit Probability Distribution Models for the Prediction of Inflows of Kainji Reservoir, Niger State, Nigeria
	2017

[20]	Stochastic Characteristics of Rainfall and River Flow of Kainji Reservoir System
	2017

[21]	Performance of Multiple Linear Regression and Autoregressive Integrated Moving Average Models in Predicting Annual Temperatures of Ogun State, Nigeria
	Journal of Natural …, 2017

[22]	Analysis of the stochastic Characteristics and Modelling of Monthly Rainfall Time Series of Abeokuta, Nigeria.
	2016

[23]	Analysis of the stochastic Characteristics and Modelling of Monthly Rainfall Time Series of Abeokuta, Nigeria
	2016

[24]	TREND DETECTION AND COMPARISM OF TWO FORECASTING MODEL FOR HYDRO-METEOROLOGICAL PHENOMENA OF OGUN STATE, NIGERIA
	2016

[25]	Development of Rainfall Empirical Models for Osun Watershed, Nigeria
	British Journal of Applied Science & Technology, 2016

[26]	Stochastic characteristics and modeling of minimum and maximum temperature of Ogun State, Nigeria
	Ethiopian Journal of Science and Technology, 2016

[27]	Stochastic characteristics and modeling of relative humidity of Ogun Basin, Nigeria
	Journal of Research in Forestry, Wildlife and Environment, 2016

[28]	Available online www. jsaer. com
	2016

[29]	Development of Rainfall Empirical Models for Osun Watershed, Nigeria.
	2016

[30]	Modelo matemático para la gestión integral del recurso hídrico superficial en la Cuenca del río Sinú, Córdoba, Colombia

[1]	Renewable Energy Potential Estimation Using Climatic-Weather-Forecasting Machine Learning Algorithms Energies, 2023 DOI:10.3390/en16041603

[2]	Comparison of Monte Carlo Schemes in the Modeling of Extreme Flood in Tropical Rain Forest Basins KSCE Journal of Civil Engineering, 2023 DOI:10.1007/s12205-023-0980-5

[3]	Comparison of Monte Carlo Schemes in the Modeling of Extreme Flood in Tropical Rain Forest Basins KSCE Journal of Civil Engineering, 2023 DOI:10.1007/s12205-023-0980-5

[4]	Statistical comparison between SARIMA and ANN’s performance for surface water quality time series prediction Environmental Science and Pollution Research, 2021 DOI:10.1007/s11356-021-13086-3

[5]	SARIMA Approach to Generating Synthetic Monthly Rainfall in the Sinú River Watershed in Colombia Atmosphere, 2020 DOI:10.3390/atmos11060602

[6]	SARIMA Approach to Generating Synthetic Monthly Rainfall in the Sinú River Watershed in Colombia Atmosphere, 2020 DOI:10.3390/atmos11060602

[7]	Improved Rainfall Prediction Using Combined Pre-Processing Methods and Feed-Forward Neural Networks J, 2019 DOI:10.3390/j2010006

[8]	Improved Rainfall Prediction Using Combined Pre-Processing Methods and Feed-Forward Neural Networks J, 2019 DOI:10.3390/j2010006

[9]	Evaluation of Best-Fit Probability Distribution Models for the Prediction of Inflows of Kainji Reservoir, Niger State, Nigeria Air, Soil and Water Research, 2017 DOI:10.1177/1178622117691034

Follow SCIRP

	customer@scirp.org
	+86 18163351462(WhatsApp)
	1655362766

	Paper Publishing WeChat

Open Journal of Modern Hydrology

Open Journal of Modern Hydrology

Journals Menu

Home

About SCIRP

Service

Policies