2017
DOI: 10.1007/s00382-017-3886-4
|View full text |Cite
|
Sign up to set email alerts
|

Impact of dynamical regionalization on precipitation biases and teleconnections over West Africa

Abstract: West African societies are highly dependent on the West African Monsoon (WAM). Thus, a correct representation of the WAM in climate models is of paramount importance. In this article, the ability of 8 CMIP5 historical General Circulation Models (GCMs) and 4 CORDEX-Africa Regional Climate Models (RCMs) to characterize the WAM dynamics and variability is assessed for the period July-August-September 1979-2004. Simulations are compared with observations. Uncertainties in RCM performance and lateral boundary condi… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

4
14
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
6
2

Relationship

2
6

Authors

Journals

citations
Cited by 14 publications
(18 citation statements)
references
References 93 publications
(128 reference statements)
4
14
0
Order By: Relevance
“…ERA-Interim is provided at 0.758 3 0.758 horizontal resolution with 60 vertical atmospheric levels, from the surface up to 0.1 hPa (Dee et al 2011). The dynamical fields analyzed to compute JJAS seasonal anomalies are (i) specific humidity at 850 hPa; (ii) moisture flux at 850 hPa; and (iii) vertical instability, which is the difference of wind divergence between the 200-and 850-hPa pressure levels (hereafter DIV200/850; Gómara et al 2018). Positive DIV200/850 values thus indicate vertical destabilization and upward motion of air (the reverse is true for negative values).…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…ERA-Interim is provided at 0.758 3 0.758 horizontal resolution with 60 vertical atmospheric levels, from the surface up to 0.1 hPa (Dee et al 2011). The dynamical fields analyzed to compute JJAS seasonal anomalies are (i) specific humidity at 850 hPa; (ii) moisture flux at 850 hPa; and (iii) vertical instability, which is the difference of wind divergence between the 200-and 850-hPa pressure levels (hereafter DIV200/850; Gómara et al 2018). Positive DIV200/850 values thus indicate vertical destabilization and upward motion of air (the reverse is true for negative values).…”
Section: Methodsmentioning
confidence: 99%
“…Positive DIV200/850 values thus indicate vertical destabilization and upward motion of air (the reverse is true for negative values). The sea level pressure (SLP) is also used (instead of the DIV200/850 parameter) for the MSI, as the influence of the Mediterranean Sea in Sahelian rainfall has been found to take place through anomalous moisture advection at surface levels, mediated by the SLP gradient between the Gulf of Guinea and the Sahara (Rowell 2013;Fontaine et al 2010;Gómara et al 2018).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The difference of the wind divergence between 200 hPa and 850 hPa levels (DIV200/850) is used to evaluate the direction and intensity of the vertical air motion (Gómara et al, 2017;Diakhaté et al, 2019). Positive values of this difference (upper level minus low level) means that there is a low level convergence of the wind, an ascent and a divergence at high level.…”
Section: Methodsmentioning
confidence: 99%
“…Even if RCMs have been proved to be a useful tool to describe climatic features in the tropics (Nikulin et al, 2012;Gómara et al, 2018) and extratropics (Jacob et al, 2014;Casanueva et al, 2015), they still present biases in temperature and precipitation over Europe (Casanueva et al, 2016;Dosio, 2016), overestimating future temperature projections for instance (Boberg and Christensen, 2012). Several techniques have been developed so far to minimise and handle model biases, as future projections of threshold-based indices may not be reliable when models' outputs are used without prior bias adjustment.…”
mentioning
confidence: 99%