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Journal Article: ID no. (ISBN etc.):  0144-7815 BibTeX citation key:  Boone2007
Boone, A. & De Rosnay, P. (2007) AMMA forcing data for a better understanding of the West African monsoon surface-atmosphere-hydrology interactions. IN IAHS-AISH publication, 313. 231–241.
Added by: Devic 2008-09-22 12:27:01    Last Edited by: Fanny Lefebvre 2011-01-17 14:52:18
Categories: General, Weather to Climatic modelling and forecasting
Keywords: LOP - EOP
Creators: Boone, De Rosnay
Collection: IAHS-AISH publication
Bibliographies: cnrm, Prior150410

Peer reviewed
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West Africa has been subject to extreme climatic variability over the last half century which has lead to dramatic socio-economic consequences for the people and the relatively agrarian-dominated economies of this region. Seasonal to inter-annual prediction of the West African monsoon (WAM) has proven difficult due to both the paucity of observations at sufficient space-time resolutions, and because of the complex interactions of processes between the biosphere, atmosphere and hydrosphere. One of the main goals of the AMMA (African Monsoon Multidisciplinary Analysis) project is to improve the understanding and prediction of the WAM in order to ameliorate sustainable water management and related activities. Land-atmosphere coupling is theorized to be significant in this region, thus improvement of the modelling of the related processes is critical. To this end, a multi-scale land-surface model atmospheric and land-surface parameter forcing database is being constructed. One of the main uses of this database is to drive a host of land surface, vegetation and hydrological models over a range of spatial scales in order to gain better insights into the attendant processes.
Last Edited by: Fanny Lefebvre