Timing and patterns of the ENSO signal in Africa over the last 30 years: Insights from normalized difference vegetation index data

A more complete picture of the timing and patterns of the ENSO signal during the seasonal cycle for the whole of Africa over the three last decades is provided using the normalized difference vegetation index (NDVI). Indeed, NDVI has a higher spatial resolution and is more frequently updated than in situ climate databases, and highlights the impact of ENSO on vegetation dynamics as a combined result of ENSO on rainfall, solar radiation, and temperature. The month-by-month NDVI-Niño-3.4 correlation patterns evolve as follows. From July to September, negative correlations are observed over the Sahel, the Gulf of Guinea coast, and regions from the northern Democratic Republic of Congo to Ethiopia. However, they are not uniform in space and are moderate (~0.3). Conversely, positive correlations are recorded over the winter rainfall region of South Africa. In October-November, negative correlations over Ethiopia, Sudan, and Uganda strengthen while positive correlations emerge in the Horn of Africa and in the southeast coast of South Africa. By December with the settlement of the ITCZ south of the equator, positive correlations over the Horn of Africa spread southward and westward while negative correlations appear over Mozambique, Zimbabwe, and South Africa. This pattern strengthens and a dipole at 18°S is well established in February-March with reduced (enhanced) greenness during ENSO years south (north) of 18°S. At the same time, at ~2°N negative correlations spread northward. Last, from April to June negative correlations south of 18°S spread to the north (to 10°S) and to the east (to the south of Tanzania).

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Bibliographic Details
Main Authors: Philippon, Nathalie, Martiny, Nadège, Camberlin, Pierre, Hoffman, M.T., Gond, Valéry
Format: article biblioteca
Language:eng
Subjects:P40 - Météorologie et climatologie, P01 - Conservation de la nature et ressources foncières, F62 - Physiologie végétale - Croissance et développement, U10 - Informatique, mathématiques et statistiques, climatologie, données climatiques, télédétection, indice de surface foliaire, végétation, modèle mathématique, saison, précipitation, énergie solaire, température, http://aims.fao.org/aos/agrovoc/c_1671, http://aims.fao.org/aos/agrovoc/c_29553, http://aims.fao.org/aos/agrovoc/c_6498, http://aims.fao.org/aos/agrovoc/c_35196, http://aims.fao.org/aos/agrovoc/c_8176, http://aims.fao.org/aos/agrovoc/c_24199, http://aims.fao.org/aos/agrovoc/c_6911, http://aims.fao.org/aos/agrovoc/c_6161, http://aims.fao.org/aos/agrovoc/c_7222, http://aims.fao.org/aos/agrovoc/c_7657, http://aims.fao.org/aos/agrovoc/c_7497, http://aims.fao.org/aos/agrovoc/c_8038, http://aims.fao.org/aos/agrovoc/c_2676, http://aims.fao.org/aos/agrovoc/c_7252, http://aims.fao.org/aos/agrovoc/c_8516, http://aims.fao.org/aos/agrovoc/c_4964, http://aims.fao.org/aos/agrovoc/c_8500, http://aims.fao.org/aos/agrovoc/c_6734, http://aims.fao.org/aos/agrovoc/c_50098, http://aims.fao.org/aos/agrovoc/c_165,
Online Access:http://agritrop.cirad.fr/573015/
http://agritrop.cirad.fr/573015/1/document_573015.pdf
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