Physics
Scientific paper
Jan 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006georl..3301804t&link_type=abstract
Geophysical Research Letters, Volume 33, Issue 1, CiteID L01804
Physics
8
Global Change: Climate Variability (1635, 3305, 3309, 4215, 4513), Global Change: Climate Dynamics (0429, 3309), Global Change: Global Climate Models (3337, 4928), Hydrology: Drought, Atmospheric Processes: Ocean/Atmosphere Interactions (0312, 4504)
Scientific paper
Atmospheric general circulation models (GCMs) forced with observed sea surface temperature (SST) reproduce some aspects of observed Sahel rainfall variability, particularly decadal variability. Here a filter based on signal-to-noise (S/N) EOFs is applied to seven GCM simulations of Sahel precipitation to extract SST-forced variability. Using filter coefficients based on GCM estimates of internal variability has limited, though positive, impact on simulation skill. Additional removal of empirically identified model error improves the representation of both decadal and interannual variability. The model error shows some coherence across the seven GCMs and correlates with local Atlantic SST. We hypothesize that the model error is related to the representation of ocean-atmosphere interactions in the SST-forced GCM simulations.
No associations
LandOfFree
Filtering of GCM simulated Sahel precipitation does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Filtering of GCM simulated Sahel precipitation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Filtering of GCM simulated Sahel precipitation will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1210557