Wikindx Resources

Communication incl. Poster: BibTeX citation key:  Hourdina
Hourdin, F., Musat, I., Favot, F., Guichard, F. & Ruti, P. M. 2009. The AMMA Model Intercomparison Project. Work presented at Third International AMMA Conference, July 20—24, at Ouagadougou, Burkina Faso.
Last Edited by: Deleted user 2009-09-16 08:10:20
 B  
Categories: General
Keywords: Climate, Modelling
Creators: Favot, Guichard, Hourdin, Musat, Ruti
Publisher: African Monsoon Multidisciplinary Analyses (Ouagadougou, Burkina Faso)
Collection: Third International AMMA Conference

Number of views:  823
Popularity index:  43.54%
Maturity index:  published

 
Abstract
AMMA-MIP is an intercomparison project developed in the frame of AMMA (the African Monsoon Multidisciplinary Analysis program) in order to evaluate the skill of global or regional, climate or weather forecast models to simulate the seasonal and intraseasonal variability of the West Africa Monsoon system (Hourdin et al. BAMS 2009).
Up to now, five models have provided about 40 simulations on selected years (2000, 2003, 2005 and 2006), including ensemble runs or sensitivity experiments to important aspects of the parametrized physics or model configuration. The model outputs are preprocessed with homogeneous variable names and made available on a ftp site (ftp.bddamma.ipsl. polytechnique.fr).
Some diagnostics are made directly available, with comparison to observation datasets on a web site (http://amma-mip.lmd.jussieu.fr). The current status of the AMMA-MIP project will be presented as well as recent analysis of the main model biases making use of the observations of the AMMA field experiment, in particular radio-soundings and surface fluxes. We will attempt to draw some conclusions concerning the main model biases and weaknesses as well as priorities for future improvements.
Our intention is to promote the AMMA-MIP exercise well beyond the AMMA program itself, as a tool to: i) evaluate the models (in particular those of the forthcoming GIEC exercise) on the West African Monsoon system; ii) provide a dedicated framework for observation with pre-reprocessed datasets: both the classical satellite observations, rainfall products as well as the observations of the AMMA field experiments; iii) provide model outputs for calibrating and evaluating the tools developed or down-scaling or impact studies on hydrology or agriculture, and investigate the spread of climate models with an "impact-oriented" view.
Last Edited by: Deleted user    Added by: Deleted user