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217<br />

Applying the Rossby Centre Regional Climate Model (RCA3.5) over the<br />

ENSEMBLES-AMMA region: Sensitivity studies and future scenarios<br />

Patrick Samuelsson, Ulrika Willén, Erik Kjellström and Colin Jones<br />

Rossby Centre, SMHI, SE-601 76 Norrköping, Sweden; patrick.samuelsson@smhi.se<br />

1. Introduction<br />

Western Africa is a region subject to decadal variability in<br />

rainfall including devastating droughts in the Sahel region<br />

during the last decades of the 20 th century. Changes in Sahel<br />

precipitation may be related to the response of the African<br />

monsoon to oceanic forcing amplified by land-atmosphere<br />

interaction (Trenberth et al. 2007). Although AGCMs are<br />

able to simulate basic patterns of rainfall trends during the<br />

second half of the 20 th century there are uncertainties related<br />

to their ability of simulating for instance interannual<br />

variability in rainfall and the exact position of the African<br />

Easterly Jet (Christensen et al. 2007). AOGCMs have even<br />

larger problems including biases in sea surface temperatures<br />

(SST), displacements in the intertropical convergence zone<br />

and distortions in the monsoonal climate. Possibly RCMs<br />

can be used to improve the understanding of the processes<br />

regulating the climate in this region. So far only few RCM<br />

simulations exist for this area although efforts are currently<br />

undertaken in the AMMA (Redelsperger et al. 2006),<br />

WAMME (Cook and Vizy 2006) and ENSEMBLES (Hewitt<br />

and Griggs 2005) projects. In this paper we present results<br />

from one RCM for this area.<br />

2. RCA 3.5<br />

We have used an updated version of the Rossby Centre<br />

regional climate model RCA3 (Kjellström et al. 2005,<br />

Samuelsson et al. 2006). RCA3 is developed at Rossby<br />

Centre, SMHI, and has been extensively used in a number of<br />

climate scenario studies. RCA3 is one of the RCMs in the<br />

European projects PRUDENCE (Jacob et al. 2007) and<br />

ENSEMBLES (Sanchez-Gomez et al. 2008). RCA3 includes<br />

parameterizations for radiation (Savijärvi 1990; Sass et al.<br />

1994), turbulence (Cuxart et al. 2000), large-scale clouds<br />

and microphysics (Rasch and Kristjánsson 1998),<br />

convection (Kain and Fritsch 1993; Jones and Sanchez<br />

2002), and land surface (Samuelsson et al. 2006). In the<br />

updated version RCA3.5 we have replaced the original lake<br />

model PROBE (Ljungemyr et al. 1996) by FLake (Mironov<br />

2008) and replaced the land-surface physiographic<br />

information by ECOCLIMAP (Masson et al. 2003). The<br />

convection parameterisation is based on Bechtold et al.<br />

(2001) which is a development from the one by Kain and<br />

Fritsch (1993) now separating shallow and deep convection.<br />

3. RCA3.5 over ENSEMBLES-AMMA<br />

The RCA3.5 ENSEMBLES-AMMA domain is shown in<br />

Figure 1. The domain is set up on a regular grid resolved by<br />

168x142 grid points covering -39 – 35°E and -23 – 39°N<br />

which corresponds to 0.4° or 50km horizontal resolution. In<br />

the vertical we have used 24 and 40 levels, respectively.<br />

For hind-cast simulations we have used ERA INTERIM as<br />

forcing for lateral boundary conditions and for sea-surface<br />

temperature. The analyzed period cover 1990-1997 with one<br />

year spin-up time before that.<br />

For the scenario simulation we take lateral boundary<br />

conditions and sea surface temperatures from the HadCM3<br />

model (Collins et al. 2006) operating under the SRES A1B<br />

emission scenario (Nakićenović et al. 2000). The scenario<br />

simulation covers the period 1961-2100.<br />

Figure 1. The RCA3.5 ENSEMBLES-AMMA<br />

domain including the Sahel region as used for areaaveraging.<br />

4. Sensitivity tests<br />

In Figure 2 it is shown how the simulated annual cycle of<br />

precipitation depends on the number of vertical levels<br />

used. The results represent averaged values over the Sahel<br />

region as shown in Figure 1.<br />

The improvement of the model to capture the large<br />

amount of precipitation during the rain period due to<br />

increased number of vertical levels is obvious. However,<br />

over this area, the too early on set of the rainy season gets<br />

even more pronounced.<br />

We will present results based on some more tests<br />

including the sensitivity of the simulated African Easterly<br />

Jet and precipitation patterns on albedo and SST.<br />

Figure 2. Annual cycle of precipitation over the step<br />

region. The lines represent: RCA3.5 40 levels (solid<br />

red), RCA3.5 24 levels (dashed red), ERA<br />

INTERIM (dashed blue), ERA40 (solid blue), CRU<br />

(green), GPCP (black) and Willmott (cyan).

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