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233<br />

A coupled regional climate model as a tool for understanding and<br />

improving feedback processes in Arctic climate simulations<br />

Wolfgang Dorn, Klaus Dethloff and Annette Rinke<br />

Alfred Wegener Institute for Polar and Marine Research, Telegrafenberg A43, 14473 Potsdam, Germany;<br />

Wolfgang.Dorn@awi.de<br />

1. Motivation<br />

A realistic representation of sea ice in coupled climate<br />

models is an essential precondition for reliable simulations<br />

of the Arctic climate. Intercomparison studies of coupled<br />

models have shown that there are still large deviations in the<br />

simulation of Arctic sea ice among the models (e.g., Holland<br />

and Bitz, 2003). The representation of the processes at the<br />

interface between atmosphere and sea ice is often<br />

oversimplified due to poor knowledge of the underlying<br />

physics of feedback processes between the climate<br />

subsystems. While such feedbacks are completely absent in<br />

stand-alone models for the subsystems, their accurate<br />

simulation plays a key role in the performance of coupled<br />

regional and global models.<br />

2. The coupled regional climate model HIRHAM-<br />

NAOSIM<br />

The coupled model is a composite of the regional<br />

atmospheric climate model HIRHAM (Christensen et al.,<br />

1996; Dethloff et al., 1996) and the high-resolution version<br />

of the North Atlantic/Arctic Ocean sea-ice model NAOSIM<br />

(Karcher et al., 2003; Kauker et al., 2003). Both model<br />

components were well adapted for Arctic climate<br />

simulations and successfully applied for a wide range of<br />

Arctic climate studies.<br />

Figure 1. Geographical locations of the coupled<br />

model's atmosphere domain (HIRHAM) and its oceanice<br />

domain (NAOSIM). The domain of coupling is<br />

given by the overlap area and covers the whole Arctic<br />

Ocean, including all marginal seas, the Nordic Seas,<br />

and parts of the northern North Atlantic.<br />

The coupled model system, first introduced by Rinke et al.<br />

(2003), was described in detail by Dorn et al. (2007). The<br />

integration domains of the two model components are<br />

shown in Figure 1. The horizontal resolutions currently<br />

used in the coupled model system are 0.5° (~50 km) in<br />

HIRHAM and 0.25° (~25 km) in NAOSIM. In the<br />

vertical, the atmosphere is subdivided into 19 unevenly<br />

spaced levels in hybrid sigma-pressure coordinates and the<br />

ocean into 30 unevenly spaced z-coordinate levels. In the<br />

near future, a sophisticated land surface model (LSM)<br />

with 6 soil layers will be incorporated into the coupled<br />

model system too.<br />

3. Improvement in the model representation of<br />

feedback processes<br />

Feedback processes, in which sea ice is involved, like the<br />

ice-albedo feedback, play an important role in the Arctic<br />

climate system and may be regarded as crucial factors in<br />

the polar amplification of climate change. In order to<br />

improve the simulation of the ice-albedo feedback, more<br />

sophisticated schemes for the ice growth/melting, the<br />

snow and ice albedo as well as the snow cover fraction on<br />

ice have been implemented into HIRHAM-NAOSIM and<br />

tested in a series of sensitivity experiments (see Dorn et<br />

al., 2008b).<br />

It is found that the simulation of Arctic summer sea ice<br />

responds very sensitively to the parameterization of the<br />

snow and ice albedo but also to a sub-grid-scale separation<br />

of the heat fluxes within the ice growth scheme. The<br />

parameterization of the snow cover fraction on ice plays<br />

an important role in the onset of summertime ice melt.<br />

This has crucial impact on summer ice decay when more<br />

sophisticated schemes for ice growth and ice albedo are<br />

used. It is shown that in case of using a harmonized<br />

combination of more sophisticated parameterizations the<br />

simulation of the summer minimum in ice extent can be<br />

considerably improved due to a better timing of the snow<br />

and ice ablating periods.<br />

4. Linkage between atmospheric and sea-ice<br />

variability<br />

The patterns of maximum amplitude of interannual<br />

variability of the Arctic summer sea-ice cover have been<br />

analyzed in HIRHAM-NAOSIM simulations for the 1980s<br />

and 1990s and compared with SSM/I satellite-derived seaice<br />

concentrations. It is found that natural variability of the<br />

summer sea-ice cover is almost exclusively restricted to its<br />

peripheral zone. Furthermore, summers with low sea-ice<br />

extent are associated with anomalously high atmospheric<br />

pressure over the western Arctic Ocean.<br />

The presence of a high pressure area over the Arctic<br />

Ocean is usually related to lower cloud cover and more<br />

anticyclonic and divergent ice motion accompanied by a<br />

more pronounced transpolar drift and stronger sea-ice<br />

export through the Fram Strait (see Figure 2). These<br />

conditions represent favorable factors for low sea-ice<br />

extent at the end of the summer. Dorn et al. (2008a) noted<br />

that large-scale variations in the atmospheric circulation<br />

are likely to represent the main driver for sea-ice<br />

variability, also with respect to the strong decline of the<br />

Arctic summer sea-ice cover in recent years.

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