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Fourth Study Conference on BALTEX Scala Cinema Gudhjem

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- 153 -<br />

The Realism of the ECHAM5.2 Models to Simulate the Hydrological Cycle<br />

in the Arctic and Baltic Area<br />

Klaus Arpe, Stefan Hagemann, Daniela Jacob and Erich Roeckner<br />

Max-Planck-Institute for Meteorology, Bundesstr. 55, 20146 Hamburg, Germany; email: arpe@dkrz.de<br />

A new versi<strong>on</strong> of the ECHAM model [ECHAM5; Roeckner<br />

et al., 2003] with c<strong>on</strong>siderable changes compared to the<br />

former standard versi<strong>on</strong> ECHAM4 [Roeckner et al., 1996] is<br />

investigated with respect to the hydrological cycle in the<br />

Arctic and Baltic area. The emphasis will be put <strong>on</strong> two<br />

versi<strong>on</strong>s with different resoluti<strong>on</strong>s, i.e. a low-resoluti<strong>on</strong><br />

versi<strong>on</strong> resolving 42 waves in the horiz<strong>on</strong>tal (T42) and 19<br />

levels in the vertical (L19) and a high horiz<strong>on</strong>tal and vertical<br />

resoluti<strong>on</strong> (T106 L39).<br />

The superiority of the high resoluti<strong>on</strong> ECHAM5.2 T106 L39<br />

model compared to the other simulati<strong>on</strong>s can been shown in<br />

many respects, especially <strong>on</strong> dynamical quantities and<br />

precipitati<strong>on</strong>. The year-by-year variability seems to be too<br />

high in this simulati<strong>on</strong> but it is hard to judge if this result is<br />

statistically significant. Ast<strong>on</strong>ishing is the similarity in the<br />

LHFX of all simulati<strong>on</strong>s and the ECMWF reanalysis.<br />

Therefore the good results shown for 5T106 with respect of<br />

precipitati<strong>on</strong> do apply also for the simulated river discharge.<br />

The low resoluti<strong>on</strong> ECHAM5.2 T42 L19 model is in many<br />

respects inferior to the ECHAM4.5 model with the same<br />

resoluti<strong>on</strong>, which is probably due to the fact that the latter<br />

has been tuned over a l<strong>on</strong>g time. There is hope that also the<br />

ECHAM5.2 can be improved by small adjustments after it<br />

has been in service over a l<strong>on</strong>ger period.<br />

An intermediate resoluti<strong>on</strong> model T63 L31 of ECHAM5<br />

will be investigated as well. First results suggest similar<br />

qualities as the high-resoluti<strong>on</strong> model.<br />

Further, the influence of different horiz<strong>on</strong>tal (T42, T63,<br />

T106, and T159) and vertical (L19 and L31) resoluti<strong>on</strong>s <strong>on</strong><br />

the simulated hydrological over the Baltic Sea catchment<br />

and the Arctic Ocean catchment will be shown. Here, the<br />

latter is represented by the catchment area (about 9.7 milli<strong>on</strong><br />

km 2 ) of its six largest rivers (Jenisei, Kolyma, Lena,<br />

Mackenzie, Northern Dvina, Ob) that cover an area of about<br />

65% of the whole Arctic Ocean catchment. For all<br />

combinati<strong>on</strong>s of horiz<strong>on</strong>tal and vertical resoluti<strong>on</strong>s listed<br />

above (except for T159 which was <strong>on</strong>ly used in combinati<strong>on</strong><br />

with L31), AMIP2-type simulati<strong>on</strong>s were c<strong>on</strong>ducted for the<br />

years 1978-1999. In order to pay regard to spin-up of the<br />

model, the first year is not c<strong>on</strong>sidered in the evaluati<strong>on</strong> of<br />

the simulati<strong>on</strong>s.<br />

Figure 1 shows the mean annual amounts of precipitati<strong>on</strong><br />

simulated by ECHAM5.2 using the different combinati<strong>on</strong>s<br />

of resoluti<strong>on</strong>s. The simulated values are compared to<br />

observati<strong>on</strong>s of CMAP [Xie and Arkin, 1997] and GPCP<br />

[Huffman et al., 1997]. Note that CMAP precipitati<strong>on</strong> data<br />

are not corrected for the systematic undercatch of<br />

precipitati<strong>on</strong> gauges, which is especially significant for<br />

snowfall. For GPCP data, a correcti<strong>on</strong> has been applied<br />

which is known to be too large by a factor of about 2<br />

(Rudolf, pers<strong>on</strong>al communicati<strong>on</strong>, 2001) so that the actual<br />

precipitati<strong>on</strong> amounts are expected to be in between GPCP<br />

and CMAP.<br />

Precipitati<strong>on</strong> [mm/a]<br />

1000<br />

900<br />

800<br />

700<br />

600<br />

500<br />

400<br />

300<br />

200<br />

100<br />

0<br />

1979-99: Annual Mean Precipitati<strong>on</strong> in [mm/a]<br />

6 largest Arctic<br />

Rivers<br />

Baltic Sea<br />

catchment<br />

ECHAM5 T42 L19<br />

ECHAM5 T42 L31<br />

ECHAM5 T63 L19<br />

ECHAM5 T63 L31<br />

ECHAM5 T106 L19<br />

ECHAM5 T106 L31<br />

ECHAM5 T159 L31<br />

CMAP<br />

GPCP<br />

Figure 1: Annual mean precipitati<strong>on</strong> over the Arctic and<br />

Baltic Sea catchment for 1979-1999.<br />

Figure 1 shows that the influence of the vertical resoluti<strong>on</strong><br />

<strong>on</strong> the precipitati<strong>on</strong> is larger than the influence of the<br />

horiz<strong>on</strong>tal resoluti<strong>on</strong>. ECHAM5 slightly overestimates the<br />

precipitati<strong>on</strong> over both catchments except for the L19<br />

simulati<strong>on</strong>s over the Baltic Sea catchments where the<br />

simulated precipitati<strong>on</strong> is just in between the CMAP and<br />

GPCP data. For both catchments, precipitati<strong>on</strong> is larger in<br />

the L31 simulati<strong>on</strong>s than in the L19 simulati<strong>on</strong>s. While for<br />

the Arctic Ocean catchment the simulated precipitati<strong>on</strong><br />

seems to slightly increase with finer horiz<strong>on</strong>tal resoluti<strong>on</strong>s,<br />

it decreases with finer horiz<strong>on</strong>tal resoluti<strong>on</strong>s over the<br />

Baltic Sea catchment.<br />

References<br />

Huffman, G.J., R.F. Adler, A. Arkin, A. Chang, R.<br />

Ferraro, A. Gruber, J. Janowiak, R.J. Joyce, A.<br />

McNab, B. Rudolf, U. Schneider und P. Xie, The<br />

Global Precipitati<strong>on</strong> Climatology Project (GPCP)<br />

combined precipitati<strong>on</strong> data set, Bull. Amer. Meteor.<br />

Soc., 78, 5-20, 1997.<br />

Roeckner, E., K. Arpe, L. Bengtss<strong>on</strong>, M. Christoph, M.<br />

Claussen, L. Dümenil, M. Esch, M. Giorgetta, U.<br />

Schlese and U. Schulzweida, The atmospheric general<br />

circulati<strong>on</strong> model ECHAM-4: model descripti<strong>on</strong> and<br />

simulati<strong>on</strong> of present-day climate, Max-Planck-<br />

Institute for Meteor., Report 218, Hamburg, Germany,<br />

1996.<br />

Roeckner, E., G. Bäuml, L. B<strong>on</strong>aventura, R. Brokopf, M.<br />

Esch, M. Giorgetta, S. Hagemann, I. Kirchner, L.<br />

Kornblueh, E. Manzini, A. Rhodin, U. Schlese, U.<br />

Schulzweida, A. Tompkins, The atmospheric general<br />

circulati<strong>on</strong> model ECHAM 5. PART I: Model<br />

descripti<strong>on</strong>, Max Planck Institute for Meteor., Report<br />

349, Hamburg, Germany , 2003<br />

Xie, P., und P. Arkin, Global precipitati<strong>on</strong>: A 17-year<br />

m<strong>on</strong>thly analysis based <strong>on</strong> gauge observati<strong>on</strong>s,<br />

satellite estimates and numerical model outputs, Bull.<br />

Amer. Meteor. Soc , 78, 2539-2558, 1997.

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