Open Access
Volume 12, 2015
Page(s) 83 - 105
Published online 30 March 2016
  • Ali, A., Amani, A., Diedhiou, A., Lebel, T., 2005. Rainfall estimation in the Sahel. Part II: Evaluation of rain gauge networks in the CILSS countries and objective intercomparison of rainfall products. Journal of Applied Meteorology 44 (11), 1707–1722. [CrossRef] [Google Scholar]
  • Anyah, R.O., Semazzi F. H. M., 2004. Simulation of the response of Lake Victoria basin climate to lake surface temperatures. Theoretical and Applied Climatology 79, 55–69. [CrossRef] [Google Scholar]
  • Asnani G.C., 1993. Tropical meteorology . Indian Institute of Tropical Meteorology, Pune, Vol. 2, 1202 p. [Google Scholar]
  • Asnani, G.C., Kinuthia J. H., 1979. Diurnal variation of precipitation in East Africa. Memo of East Africa Meteorological Department. 8, 58 p. [Google Scholar]
  • Barnston, A.G., 1992. Correspondence among the Correlation, RMSE, and Heidke Forecast Verification Measures; Refinement of the Heidke Score. Weather and Forecasting 7, 699–709. [CrossRef] [Google Scholar]
  • Baron, C., Sultan, B., Balme, M., Sarr, B., Traore, S., Lebel, T., Janicot, S., Dingkuhn, M., 2005. From GCM grid cell to agricultural plot: Scale issues affecting modelling of climate impact. Phil. Trans. R. Soc. B 360, 2095–2108. [CrossRef] [Google Scholar]
  • Bärring, L., 1988. Reginalization of daily rainfall in Kenya by means of common factor analysis. Journal of climatology 8 (4), 371–389. [CrossRef] [Google Scholar]
  • Bishop C.M., 1997. Neural Networks for Pattern Recognition . 3rd edition, Clarendon Press, Oxford. [Google Scholar]
  • Boyard-Micheau, J., Camberlin, P., Philippon, N., Moron, V., 2013. Regional scale rainy season onset detection: a new approach based on multivariate analysis. J. Climate 26, 8916–8928. [CrossRef] [Google Scholar]
  • Boyard-Micheau, J., 2013. Prévisibilité potentielle des variables climatiques à impact agricole en Afrique de l’Est et application au sorgho dans la région du mont Kenya. Thèse. Université de Bourgogne, Dijon, France, 337p. [Google Scholar]
  • Brunetti, M., Colacino, M., Maugeri, M., Nanni, T., 2001. Trends in the daily intensity of precipitation in Italy from 1951 to 1996. International Journal of Climatology 21 (3), 299–316. [Google Scholar]
  • Camberlin, P., Planchon, O., 1997. Coastal precipitation regimes in Kenya. Geografiska Annaler, Serie A, Physical Geography 79 (1–2), 109–119. [CrossRef] [Google Scholar]
  • Camberlin, P., Janicot, S., Poccard, I., 2001. Seasonality and atmospheric dynamics of the teleconnection between African rainfall and tropical sea-surface temperature: Atlantic vs. ENSO. International Journal of Climatology 21 (8), 973–1005. [Google Scholar]
  • Camberlin, P., Moron, V., Okoola, R., Philippon, N., Gitau, W., 2009. Components of rainy seasons’ variability in Equatorial East Africa: onset, cessation, rainfall frequency and intensity. Theoretical and applied climatology 98 (3–4), 237–249. [CrossRef] [Google Scholar]
  • Camberlin, P., Boyard-Micheau, J., Philippon, N., Baron, C., Leclerc, C., Mwongera, C., 2014. Climatic gradients along the windward slopes of Mount Kenya and their implication for crop risks. Part 1: climate variability. International Journal of Climatology 34 (7), 2136–2152. [CrossRef] [Google Scholar]
  • Colman, A., Janes, T., Nying’Uro, P., Shaka, A., Graham, R., Jones, R., 2015. Technical Work Package to Support Enhancements to Seasonal Forecast Production – Final Project Report . Kenye Meteorological Department, Met. Office Hadley Center, 33p. [Google Scholar]
  • Dempster, A.P., Laird, N.M., Rubin, D., 1977. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, Series B (Methodological) 39 (1), 1–38. [Google Scholar]
  • Dinku, T., Ceccato, P., Connor, S.J., 2011. Challenges of satellite rainfall estimation over mountainous and arid parts of east Africa. International journal of remote sensing 32 (21), 5965–5979. [CrossRef] [Google Scholar]
  • Dixon, J., Gulliver, A., Gibon, D., 2001. Système d’exploitation agricole et pauvreté. Améliorer les moyens d’existence des agriculteurs dans un monde changeant. Ed. Malcolm Hall, FAO et Banque Mondiale, Rome et Washington DC, 464p. [Google Scholar]
  • Duband, D., 1970. Reconnaissance dynamique de la forme des situations météorologiques. Application à la prévision quantitative des précipitations . Thèse de 3ème cycle de la Faculté des Sciences de Paris. [Google Scholar]
  • Dodd, D.E., Jolliffe I.T., 2001. Early detection of the start of the wet season in semiarid tropical climates of Western Africa. International journal of climatology 21 (10), 1251–1262. [CrossRef] [Google Scholar]
  • Dunn, P.K., 2004. Occurrence and quantity of precipitation can be modelled simultaneously. International Journal of Climatology 24 (10), 1231–1239. [CrossRef] [Google Scholar]
  • Eischeid, J.K., Pasteris, P.A., Diaz, H.F., Plantico, M.S., Lott, N.J., 2000. Creating a serially complete, national daily time series of temperature and precipitation for the western United States. Journal of Applied Meteorology 39 (9), 1580–1591. [CrossRef] [Google Scholar]
  • Elsner, J.B., Schmertmann C. P., 1994. Assessing forecast skill through cross validation. Weather and Forecasting 9 (4), 619–624. [CrossRef] [Google Scholar]
  • Gitau, W., 2011. Diagnosis and predictability of intraseasonal characteristicss of wet and dry spells over equatorial east Africa. Thèse de doctorat. University of Nairobi, Kenya. [Google Scholar]
  • Gitau, W., Ogallo, L., Camberlin, P., Okoola, R., 2012. Spatial coherence and potential predictability assessment of intraseasonal statistics of wet and dry spells over Equatorial Eastern Africa. International Journal of Climatology 33 (12), 2690–2705. [Google Scholar]
  • Habib, E., Elsaadan, M., Hail, A.T., 2012. Climatology-focused evaluation of CMORPH and TMPA satellite rainfall products over the Nile Basin. Journal of Applied Meteorology and Climatology 51 (12), 2105–2121. [CrossRef] [Google Scholar]
  • Heidke, P., 1926. Berechnung des Erfolges und der Gute der Windstarkevorhersagen im Sturmwarnungsdienst. Geografiska Annaler 8, 301–349. [Google Scholar]
  • Hickey, G.M., Pelletier, B., Brownhill, L., Kamau, G.M., Maina, I.N., 2012. Preface: Challenges and opportunities for enhancing food security in Kenya. Food Security 4 (3), 333–340. [CrossRef] [Google Scholar]
  • Hocking, R.R., 1976. A Biometrics invited paper. The analysis and selection of variables in linear regression. Biometrics 32 (1), 1–49. [CrossRef] [Google Scholar]
  • Ines, A.V.M., Hansen, J.W., 2006. Bias correction of daily GCM rainfall for crop simulation studies. Agricultural and Forest Meteorology 138 (1), 44–53. [CrossRef] [Google Scholar]
  • Joliffe, I., Stephenson, D.B. (eds) (2012. Forecast verification: a practitioner’s guide in atmospheric science . John Wiley & Sons. [Google Scholar]
  • Jones, J.W., Hansen, J.W., Royce, F.S., Messina, C.D., 2000. Potential benefits of climate forecasting to agriculture. Agriculture, Ecosystems & Environment 82, 169–184. [CrossRef] [Google Scholar]
  • Karl, T.R., Knight, R.W., Plummer, N., 1995. Trends in high-frequency climate variability in the twentieth century. Nature 377, 217–220. [CrossRef] [Google Scholar]
  • Lazraq, A., Cleroux, R., 1988. Un algorithme pas à pas de sélection de variables en régression linéaire multivariée. Statistique et analyse des données 13 (1), 39–58. [Google Scholar]
  • Lorenz, E., 1969. Atmospheric predictability as revealed by natural occuring analogues. Journal of the Atmospheric Sciences 26, 636–646. [CrossRef] [Google Scholar]
  • Makhuvha, T., Pegram, G., Sparks, R., Zucchini, W., 1997a. Patching rainfall data using regression methods. 1. Best subset selection, EM and pseudo-EM methods: theory. Journal of Hydrology 198 (1–4), 289–307. [CrossRef] [Google Scholar]
  • Makhuvha, T., Pegram, G., Sparks, R., Zucchini, W., 1997b. Patching rainfall data using regression methods. 1. Best subset selection, EM and pseudo-EM methods: theory. Journal of Hydrology 198 (1–4), 308–318. [CrossRef] [Google Scholar]
  • Marteau, R., Moron, V., Philippon, N., 2009. Spatial coherence of monsoon onset over Western and Central Sahel (1950–2000). Journal of Climate 22 (5), 1313–1324. [CrossRef] [Google Scholar]
  • Michaelsen, J., 1987. Cross-validation in statistical climate forecast models. Journal of climate and Applied Meteorology 26 (11), 1589–1600. [CrossRef] [Google Scholar]
  • Moron, V., Robertson, A.W., Ward, M.N., Camberlin, P., 2007. Spatial coherence of tropical rainfall at the regional scale. Journal of Climate 20 (21), 5244–5263. [CrossRef] [Google Scholar]
  • Moron, V., Lucero, A., Hilario, F., Lyon, B., Robertson, A.W., Dewitt D., 2009. Spatio-temporal variability and predictability of summer monsoon onset over the Philippines. Climate dynamics 33 (7–8), 1159–1177. [CrossRef] [Google Scholar]
  • Mwongera, C.N., 2012. How smallholder farmers cope with climate variability: case study of the Eastern slope of Mount Kenya. Agricultures familiales et variabilité climatique sur le versant Est du Mont Kenya . Thèse de doctorat, Thèse de doctorat, Université de Montpellier, SupAgro, 166 p. [Google Scholar]
  • Nicholson S.E., 1996. A review of climate dynamics and climate variability in Eastern Africa. In: TC Johnson, EO Odada eds. The limnology, Climatology and Paleoclimatology of the East African Lakes. Gordon and Breach, Toronto, 25–56 pp. [Google Scholar]
  • Obled, C., Bontron, G., Garçon, R., 2002. Quantitative precipitation forecasts: a statistical adaptation of model outputs through an analogues sorting approach. Atmospheric research 63 (3), 303–324. [CrossRef] [Google Scholar]
  • Obled, C., Zin, I., Hingray, B., 2009. Choix des pas de temps et d’espace pour des modélisations parcimonieuses en hydrologie des crues. La Houille Blanche 5, 81–87. [CrossRef] [EDP Sciences] [Google Scholar]
  • Oettli, P., Camberlin, P., 2005. Influence of topography on monthly rainfall distribution over East Africa. Climate Research 28, 3), 199–212. [CrossRef] [Google Scholar]
  • Oettli, P., 2008. Précipitations et relief en Afrique orientale et australe : modélisations statistiques et géostatistiques. Thèse de Doctorat. Université de Bourgogne, 287p. [Google Scholar]
  • Ogallo, L.J., Janowiak, J.E., Halpert, M.S., 1988. Teleconnections between seasonal rainfall over East Africa and global sea surface temperature anomalies. Journal of the Meteorological Society of Japan 66, 807–821. [CrossRef] [Google Scholar]
  • Ogallo, L.J., 1985. Climatology of rainfall in East Africa . Proc. WMO conf. on GATE, WAMEX, and Tropical Meteorology, T.M.P n°16, Dakar, Senegal. WMO, 96–102. [Google Scholar]
  • Philippon, N., Baron, C., Boyard-Micheau, J., Adde, A., Leclerc, C., Mongwera, C., Camberlin, P., 2015a. Climatic gradients along the windward slopes of Mount Kenya and their implication for crop risks. Part 2: crop sensitivity. International Journal of Climatology. [Google Scholar]
  • Philippon, N., Camberlin, P., Moron, V., Boyard-Micheau, J., 2015b. Anomalously wet and dry rainy seasons in Equatorial East Africa and associated differences in intra-seasonal characteristics. Climate Dynamics 1–21. [Google Scholar]
  • Piani, C., Haerter, J.O., Coppola E., 2010. Statistical bias correction for daily precipitation in regional climate models over Europe. Theoretical and Applied Climatology 99, 1–2), 187–192. [CrossRef] [Google Scholar]
  • Ramarohetra, J., Roudier, P., Sultan, B., 2012. Lacunes et comblement des mesures de pluies : quel impact pour la simulation de rendements agricoles en zone sahélienne ? Publications de l’Association Internationale de Climatologie 25, 649–654. [Google Scholar]
  • Robertson, A.W., Moron, V., Swarinoto, Y., 2009. Seasonal predictability of daily rainfall statistics over Indramayu district, Indonesia. International Journal of Climatology 29 (10), 1449–1462. [CrossRef] [Google Scholar]
  • Rowell, D., Folland, C., Maskell, K., Ward, N., 1995. Variability of summer rainfall over tropical north Africa (1906–92): observations and modeling. Quart. J. Roy. Met. Soc. 121, 669–704. [Google Scholar]
  • Schlenker, W., Lobell, D.B., 2010. Robust negative impacts of climate change on African agriculture. Environmental Research Letters 5 (1), 1–8. [CrossRef] [Google Scholar]
  • Schmidli, J., Frei, C., Vidale, P.L., 2006. Downscaling from GCM precipitation: a benchmark for dynamical and statistical downscaling methods. International journal of climatology 26 (5), 679–689. [CrossRef] [Google Scholar]
  • Simolo, C., Brunetti, M., Maugeri, M., Nanni, T., 2010. Improving estimation of missing values in daily precipitation series by a probability density function-preserving approach. International Journal of Climatology 30, 10), 1564–1576. [CrossRef] [Google Scholar]
  • Sivakumar, M.V.K., 1988. Predicting rainy season potential from the onset of rains in southern Sahelian and Sudanian climatic zones of West Africa. Agricultural Forest and Meteorology 42, 295–305. [Google Scholar]
  • Slegers, M.F., 2008. If only it would rain: Farmers’ perceptions of rainfall and drought in semi-arid central Tanzania. Journal of Arid Environments 72 (11), 2106–2123. [CrossRef] [Google Scholar]
  • Thiemig, V., Rojas, R., Zambrano-Bigiarini, M., Levizzani, V., de Roo, A., 2012. Validation of satellite-based precipitation products over sparsely gauged African river basins. Journal of Hydrometeorology 13 (6), 1760–1783. [CrossRef] [Google Scholar]
  • Thomas, D.S.G., Twyman, C., Osbahr, H., Hewitson, B., 2007. Adaptation to climate change and variability: farmer responses to intra-seasonal precipitation trends in South Africa. Climatic change 83 (3), 301–322. [CrossRef] [Google Scholar]
  • Traore, S., Alhassane, A., Muller, B., Kouressy, M., Some, L., Sultan, B., Oettli, P., Laope, A.C.S., Sangaré, S., Vaksmann, M., Diop, M., Dingkhum, M., Baron, C., 2011. Characterizing and modeling the diversity of cropping situations under climatic constraints in West Africa. Atmospheric science letters 12, 89–95. [CrossRef] [Google Scholar]
  • Usman, M.T., Reason, C.J.C, 2004. Dry spell frequencies and their variability over southern Africa. Climate Research 26 (3), 199–211. [CrossRef] [Google Scholar]
  • Vicente-Serrano, S.M., Beguería, S., López-Moreno, J.I., García-Vera, M.A., Stepanek, P., 2010. A complete daily precipitation database for northeast Spain: reconstruction, quality control, and homogeneity. International Journal of Climatology 30, 8), 1146–1163. [CrossRef] [Google Scholar]
  • Von Storch, H., Zwiers, F.W., 1999. Statistical analysis in climate research. Cambridge University Press, 484 p. [Google Scholar]
  • Widmann, M.L., Bretherton, C.S., Salathe, E.P.J., 2003. Statistical precipitation downscaling over the Northwestern United States using numerically simulated precipitation as a predictor. J. Climate 16, 799–816. [CrossRef] [Google Scholar]
  • Wilks, D.S., 1999. Interannual variability and extreme-value characteristics of several stochastic daily precipitation models. Agricultural and Forest Meteorology 93, 3), 153–169. [CrossRef] [Google Scholar]
  • World Meteorological Organization, 2008 : Guide to meteorological instruments and methods of observation: [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.