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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).