Coetlogon de G., Janicot Serge, Lazar Alban. (2010). Intraseasonal variability of the ocean - atmosphere coupling in the Gulf of Guinea during boreal spring and summer. Quarterly Journal of the Royal Meteorological Society, 136 (s1), p. 426-441. ISSN 0035-9009.
Titre du document
Intraseasonal variability of the ocean - atmosphere coupling in the Gulf of Guinea during boreal spring and summer
Quarterly Journal of the Royal Meteorological Society, 2010,
136 (s1), p. 426-441 ISSN 0035-9009
Statistical analyses of the satellite TMI sea-surface temperature (SST) and QuikSCAT surface winds in boreal spring and summer are performed to investigate the intraseasonal variability of air sea interactions in die Gulf of Guinea There, empirical orthogonal function decomposition shows the existence of peaks around IS days. and their lagged cross-correlation the signature of an expected 5-day lag wind forcing and 3-day lag strong negative SST feedback Lagged linear regressions are performed onto a reference SST index of the cold tongue northern front in the Gulf of Guinea. A cold SST anomaly covering the equatorial and coastal upwelling is forced after about one week by stronger-than-usual south-easterlies linked to the Si Helena anticyclone. suggesting that intraseasonal variability in the Gull of Guinea is connected to large-scale fluctuations in the South Atlantic Within about 5 degrees S and 5 degrees N, two retroactions between SST and surface wind appear to dominate near-surface atmosphere conditions When the wind leads the SST. stronger monsoonal winds north of 2 degrees N are partly sustained by die developing SST anomaly and bring more humidity and rainfall toward the continent When the SST leads Lie wind, a reversal of anomalous winds is observed mainly south of 2 degrees N. closing a negative feedback loop with a biweekly periodicity Eventually. further in with an ocean model emphasizes the contribution of the horizontal advection in shaping these intraseasonal SST signals The contribution of vertical processes may also be important but was more difficult to estimate Copyright (C) 2010 Royal Meteorological Society
