Article citationsMore>>

Agustí, P. A., Ahlgrimm, M., Balsamo, G., Bock, O., Forbes, R., Ghelli, A., Guichard, F., Köhler, M., Meynadier, R., & Mocrette, J. J. (2010). The ECMWF Re-Analysis for the AMMA Observational Campaign. Quarterly Journal of the Royal Meteorological Society, 136, 1457-1472.
https://doi.org/10.1002/qj.662

has been cited by the following article:

• TITLE: Study of Boundary Layer Height over West Africa

  AUTHORS: Semou Ndao, Djiondo Ngongang Rinelle, Daouda Badiane, Andre Lenouo, Saïdou Moustapha Sall

  KEYWORDS: Boundary Layer Height, West Africa Monsoon, Inter Tropical Convergence Zone, CCA

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.7 No.11, November 28, 2019

  ABSTRACT: Monthly means of boundary layer height (BLH) over West Africa are presented based on 36 years (1979-2014) of six-hourly ERA-Interim reanalysis. In this region, we found that there is a link between the West Africa Monsoon (WAM) and the monthly means of BLH in the summer. The trend and empirical orthogonal function (EOF) of BLH are presented, including the mid July variability of BLH with the precipitation. The dominant EOF of BLH accounts for around 42% of the variance with slightly large amplitude in the north while relatively small in the equatorial band. The second EOF which accounts for 16.4%, describes a longitudinal contrast with a zonal gradient. The relationship between BLH and precipitation is found using the canonical correlation analysis (CCA). Significant trends of the first and second pairs of BLH with precipitation are shown. The first and second CCA pair has a correlation of 68% and 60% with 12.2 and 10.8 degrees of freedom respectively. The critical correlation coefficients at the 95% level are 0.21 and 0.65 for the first and second CCA pairs respectively. This first CCA pair mostly determines the arid and semi-arid areas where the rate of explained regional variance is about 78% in the arid area and 73% in the semi-arid area. For the second pair of CCA, the rate of explained regional variance is more than 60% in the Guinea coast and wet equatorial area.