The climatic variability observed during the last decades in West Africa results in a decrease of the rainfall that influenced resources more thus in water and lively cultural the food insecurity, the desertification, the farming exodus. Him in default not less for the Coast of Ivory. So, data of stations rainfall knew a flight, but he/it is that they are limited because of their slant and their spatial cover that don't cover the whole country. A new data set combining data of satellite and stations of observation permits a better precision in the climatic variability survey. The methods of Nicholson and filter low pass of Hanning of order 2 permitted to identify the showing a deficit and excess years. In the region of Poro two climatic periods have been identified, a period of drought of 1981 to 1993 and a humid period of 1994 to 2014. For more of precision, on a daily scale, the method of number of dry consecutive days (Consecutive Dry Days) permitted to determine the episodes of drought. The decade 1981-1990 knew a strong drought with more of 70 dry days. On the other hand, the last decade 2001-2010 marks a resumption of rains. What entails a decrease of the number of dry days in the region of Poro.
| Published in | American Journal of Water Science and Engineering (Volume 7, Issue 4) |
| DOI | 10.11648/j.ajwse.20210704.11 |
| Page(s) | 126-133 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Climatic Variability, Rainfall, Drought, CHIRPS, Spatial Analyst
| [1] | AHOUSSI K. E., KOFFI Y. B., KOUASSI A. M., SORO G., SORO N. ET BIEMI J. (2013). Etude de la variabilité hydroclimatique et de ses conséquences sur les ressources en eau du sud forestier et agricole de la Côte d'Ivoire: cas de la région d'Abidjan-Agboville. International Journal of Pure & Applied Bioscience Research, 1 (6): 30-50. |
| [2] | ASSANI ALI (1999). Analyse de la variabilité temporelle des précipitations (1916-1996) à Lubumbashi (Congo-Kinshasa) en relation avec certains indicateurs de la circulation atmosphérique (oscillation australe) et océanique (El Niño/La Niña). Sécheresse, 10 (4), pp 245-252. |
| [3] | BRICQUET J. P., BAMBA F., MAHE G., TOURE M. ET OLIVRY J. C. (1997). Variabilité des ressources en eau de l’Afrique Atlantique. Journal des sciences hydrologiques, 16: 83-95. |
| [4] | DESCROIX L., NIANG A. D., PANTHOU G., BODIAN A., SANE Y., DACOSTA H., ABDOU M. M., VANDERVAERE J. P. ET QUANTIN G. (2015). Evolution récente de la pluviométrie en Afrique de l’Ouest à travers deux régions: la Sénégambie et le bassin du Niger moyen. Climatologie, 12 (2015): 25-43. |
| [5] | FUNK C., PETERSON P., LANDSFELD M., PEDREROS D., VERDIN J., ET SHUKLA S., HUSAK G., ROWLAND J., HARRISON L., HOELL A. ET MICHAELSEN J. (2015). Les risques climatiques des précipitations infrarouges avec les stations - un nouveau record environnemental pour surveiller les extrêmes. Scientific data 2, 150066. Doi: 10.1038/sdata.2015.66 2015. |
| [6] | GOULA A., SORO G., KOUASSI W. ET SROHOUROU B. (2012). Tendances et ruptures au niveau des pluies journalières extrêmes en Côte d'Ivoire (Afrique de l'Ouest), Hydrological Sciences Journal, 52 (6): 1067-1080. |
| [7] | HUBERT P., SERVAT E., PATUREL J. E., KOUAME B., BENDJOUDI H., CARBONNEL J. P., LUBES-NIEL H. (1998). La procédure de segmentation, dix ans après. IAHS publication, 252: 267-273. |
| [8] | INSTITUT NATIONAL DE LA STATISTIQUE. (2014). Statistique de la population du Recensement Général de la Population et de l’Habitat (RGPH 2014), Côte d’Ivoire, 26p. |
| [9] | JOURDA J. P. R. (2005). Méthodologie d’application des techniques de télédétection et des systèmes d’information géographique à l’étude des aquifères fissures d’Afrique de l’Ouest. Concept de l’hydrotechnique spatiale: cas des zones tests de la cote d’ivoire. Thèse de Doctorat d’Etat, Université de Cocody, 435p. |
| [10] | KOUAKOU E. (2011). Impacts de la variabilité climatique et du changement climatique sur les ressources en eau en Afrique de l’Ouest: Cas du bassin versant de la Comoé. Thèse Unique de Doctorat, Université d’Abobo Adjamé, 186 p. |
| [11] | KOUASSI A. M., KOUAME K. F., KOFFI Y. B., DJE K. B., PATUREL J. E. ET OULARE S. (2010). Analyse de la variabilité climatique et de ses influences sur les régimes pluviométriques saisonniers en Afrique de l’Ouest: cas du bassin versant du N’zi (Bandama) en Côte d’Ivoire. Cybergeo: European Journal of Geography, Environnement, Nature, Paysage, Article 513, doi: 10.4000/cybergeo.23388. |
| [12] | NICHOLSON S. (2005). On the question of the ‘’recovery’’ of the rains in the West Africa Sahel. Journal of Arid Environnement, 63: 615-641. |
| [13] | PATUREL J. E. ET OUEDRAOGO M. (2003). The concept of rainfall and stream flow normals in West and Central Africa in a context of climatic variability. Hydrological sciences journal 48: 125-137. |
| [14] | ROUDIER P. (2012). Climat et agriculture en Afrique de l’Ouest: Quantification de l’impact du changement climatique sur les rendements et évaluation de l’utilité des prévisions saisonnières. Thèse de Doctorat, Ecole des Hautes Etudes en Sciences Sociales (EHESS) France, 191 p. |
| [15] | SALEY M. B. (2003). Système d’informations hydrogéologiques à référence spatiale, discontinuités pseudo-images et cartographies thématiques des ressources en eau de la région sémi-montagneuse de Man (Ouest de la Côte d’Ivoire), Thèse unique de Doctorat, Université de Cocody, 209 p. |
| [16] | SERVAT E., PATUREL J.-E., LUBES-NIEL H., KOUAME B., MASSON J. M., TRAVAGLIO M. ET MARIEU B. (1999). De différents aspects de la variabilité de la pluviométrie en Afrique de l’Ouest et centrale non sahélienne. Revue des sciences de l’eau, 12 (2): 363-387. |
APA Style
Talnan Jean Honore Coulibaly, Naga Coulibaly, Kouassi Yéboua Firmin, Camara Issa. (2021). Use of CHIRPS Data to Characterize Rainfall in West Africa: Case of the Poro Region in Côte d'Ivoire. American Journal of Water Science and Engineering, 7(4), 126-133. https://doi.org/10.11648/j.ajwse.20210704.11
ACS Style
Talnan Jean Honore Coulibaly; Naga Coulibaly; Kouassi Yéboua Firmin; Camara Issa. Use of CHIRPS Data to Characterize Rainfall in West Africa: Case of the Poro Region in Côte d'Ivoire. Am. J. Water Sci. Eng. 2021, 7(4), 126-133. doi: 10.11648/j.ajwse.20210704.11
AMA Style
Talnan Jean Honore Coulibaly, Naga Coulibaly, Kouassi Yéboua Firmin, Camara Issa. Use of CHIRPS Data to Characterize Rainfall in West Africa: Case of the Poro Region in Côte d'Ivoire. Am J Water Sci Eng. 2021;7(4):126-133. doi: 10.11648/j.ajwse.20210704.11
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Download@article{10.11648/j.ajwse.20210704.11,
author = {Talnan Jean Honore Coulibaly and Naga Coulibaly and Kouassi Yéboua Firmin and Camara Issa},
title = {Use of CHIRPS Data to Characterize Rainfall in West Africa: Case of the Poro Region in Côte d'Ivoire},
journal = {American Journal of Water Science and Engineering},
volume = {7},
number = {4},
pages = {126-133},
doi = {10.11648/j.ajwse.20210704.11},
url = {https://doi.org/10.11648/j.ajwse.20210704.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajwse.20210704.11},
abstract = {The climatic variability observed during the last decades in West Africa results in a decrease of the rainfall that influenced resources more thus in water and lively cultural the food insecurity, the desertification, the farming exodus. Him in default not less for the Coast of Ivory. So, data of stations rainfall knew a flight, but he/it is that they are limited because of their slant and their spatial cover that don't cover the whole country. A new data set combining data of satellite and stations of observation permits a better precision in the climatic variability survey. The methods of Nicholson and filter low pass of Hanning of order 2 permitted to identify the showing a deficit and excess years. In the region of Poro two climatic periods have been identified, a period of drought of 1981 to 1993 and a humid period of 1994 to 2014. For more of precision, on a daily scale, the method of number of dry consecutive days (Consecutive Dry Days) permitted to determine the episodes of drought. The decade 1981-1990 knew a strong drought with more of 70 dry days. On the other hand, the last decade 2001-2010 marks a resumption of rains. What entails a decrease of the number of dry days in the region of Poro.},
year = {2021}
}
TY - JOUR T1 - Use of CHIRPS Data to Characterize Rainfall in West Africa: Case of the Poro Region in Côte d'Ivoire AU - Talnan Jean Honore Coulibaly AU - Naga Coulibaly AU - Kouassi Yéboua Firmin AU - Camara Issa Y1 - 2021/10/21 PY - 2021 N1 - https://doi.org/10.11648/j.ajwse.20210704.11 DO - 10.11648/j.ajwse.20210704.11 T2 - American Journal of Water Science and Engineering JF - American Journal of Water Science and Engineering JO - American Journal of Water Science and Engineering SP - 126 EP - 133 PB - Science Publishing Group SN - 2575-1875 UR - https://doi.org/10.11648/j.ajwse.20210704.11 AB - The climatic variability observed during the last decades in West Africa results in a decrease of the rainfall that influenced resources more thus in water and lively cultural the food insecurity, the desertification, the farming exodus. Him in default not less for the Coast of Ivory. So, data of stations rainfall knew a flight, but he/it is that they are limited because of their slant and their spatial cover that don't cover the whole country. A new data set combining data of satellite and stations of observation permits a better precision in the climatic variability survey. The methods of Nicholson and filter low pass of Hanning of order 2 permitted to identify the showing a deficit and excess years. In the region of Poro two climatic periods have been identified, a period of drought of 1981 to 1993 and a humid period of 1994 to 2014. For more of precision, on a daily scale, the method of number of dry consecutive days (Consecutive Dry Days) permitted to determine the episodes of drought. The decade 1981-1990 knew a strong drought with more of 70 dry days. On the other hand, the last decade 2001-2010 marks a resumption of rains. What entails a decrease of the number of dry days in the region of Poro. VL - 7 IS - 4 ER -
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