Statistical Analysis for Assessing Randomness, Shift and Trend in Rainfall Time Series under Climate Variability and Change: Case of Senegal

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ISSN Print: 2327-4336
ISSN Online: 2327-4344
www.scirp.org/journal/gep
E-mail: gep@scirp.org

"Statistical Analysis for Assessing Randomness, Shift and Trend in Rainfall Time Series under Climate Variability and Change: Case of Senegal"
written by Didier Maria Ndione, Soussou Sambou, Moussé Landing Sane, Seydou Kane, Issa Leye, Seni Tamba, Mouhamed Talla Cisse,
published by Journal of Geoscience and Environment Protection, Vol.5 No.13, 2017

has been cited by the following article(s):

[1]	Disaggregation coefficients for obtaining rainfall intensity-duration-frequency curves: concepts, models, errors and trends in Minas Gerais, Brazil
	Urban Water …, 2022

[2]	Integrated Assessment Tools in Support of Futuristic Climate Change Towards Rice Production in Nigeria
	Handbook of Climate …, 2022

[3]	Analyse des tendances dans les séries pluviométriques au Sénégal
	Afrique …, 2022

[4]	Ensemble forecasting system for the management of the Senegal River discharge: application upstream the Manantali dam
	2020

[5]	Uncertainty analysis in the detection of trends, cycles, and shifts in water resources time series
	Water Resources Management, 2019

[1]	Disaggregation coefficients for obtaining rainfall intensity-duration-frequency curves: concepts, models, errors and trends in Minas Gerais, Brazil Urban Water Journal, 2023 DOI:10.1080/1573062X.2022.2105237

[2]	Disaggregation coefficients for obtaining rainfall intensity-duration-frequency curves: concepts, models, errors and trends in Minas Gerais, Brazil Urban Water Journal, 2022 DOI:10.1080/1573062X.2022.2105237

[3]	Uncertainty analysis in the detection of trends, cycles, and shifts in water resources time series Water Resources Management, 2019 DOI:10.1007/s11269-019-02210-1

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