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Fourth Study Conference on BALTEX Scala Cinema Gudhjem

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- 112 -<br />

Regi<strong>on</strong>al Climate Modelling over Est<strong>on</strong>ia: Some Preliminary Results with<br />

the RegCM3<br />

Oliver Tomingas 1 , Piia Post 2 and Jaak Jaagus 1<br />

1 Department of Geography, University of Tartu, Vanemuise 46, 51014 Tartu, Est<strong>on</strong>ia, olivertm@ut.ee<br />

2 Department of Envir<strong>on</strong>mental Physics, University of Tartu, Tähe 4, 51014 Tartu, Est<strong>on</strong>ia<br />

1. Introducti<strong>on</strong><br />

The climate of Est<strong>on</strong>ia is characterized by the influence of<br />

the Baltic Sea from the west and c<strong>on</strong>tinental areas from the<br />

east. Cycl<strong>on</strong>ic activity of the Atlantic ocean makes the<br />

regi<strong>on</strong>al climate very variable and therefore difficult to<br />

predict by climate models. These models have to account for<br />

the large scale circulati<strong>on</strong> over the Baltic Sea and Est<strong>on</strong>ia, as<br />

well as for sub-grid scale forcings (topographical features<br />

and land cover inhomogeneity). Regi<strong>on</strong>al climate model<br />

RegCM3 is used to address the following questi<strong>on</strong>s:<br />

• What are the main physical mechanisms behind<br />

extreme events and anomalous periods in Est<strong>on</strong>ian<br />

climate?<br />

• How sensitive is the climate of Est<strong>on</strong>ia to changes<br />

in land surface c<strong>on</strong>diti<strong>on</strong>s (e.g. land use, snow<br />

cover extent)?<br />

• Which are the most reliable physical<br />

•<br />

parameterizati<strong>on</strong> schemes for the regi<strong>on</strong>?<br />

Does the different horiz<strong>on</strong>tal resoluti<strong>on</strong> have an<br />

affect <strong>on</strong> the model results in the l<strong>on</strong>g-term mean?<br />

2. Model<br />

The RegCM3 is a 3-dimensi<strong>on</strong>al, σ-coordinate, primitive<br />

equati<strong>on</strong> regi<strong>on</strong>al climate model. It was originally developed<br />

at the Nati<strong>on</strong>al Center for Atmospheric Research (NCAR)<br />

and has been applied to studies of regi<strong>on</strong>al climate and<br />

seas<strong>on</strong>al predictability around the world (Giorgi, 1990;<br />

Giorgi and Mearns, 1999). The model is based <strong>on</strong> the<br />

c<strong>on</strong>cept of <strong>on</strong>e-way nesting, that has been used for many<br />

years for regi<strong>on</strong>al climate studies. The basic idea of this<br />

technique is that large-scale meteorological fields from<br />

general circulati<strong>on</strong> model runs (or analysis of observati<strong>on</strong>s)<br />

provide initial and time-dependent lateral boundary<br />

c<strong>on</strong>diti<strong>on</strong>s for high-resoluti<strong>on</strong> limited area model<br />

simulati<strong>on</strong>s. The dynamic equati<strong>on</strong>s and numerical<br />

discretizati<strong>on</strong>s of the model are described by Grell et al.<br />

(1994).<br />

3. Physical parameterizati<strong>on</strong><br />

RegCM3 uses the radiati<strong>on</strong> scheme of the NCAR CCM3.<br />

The solar comp<strong>on</strong>ent, which accounts for the effect of O3, H2O, CO2, O2, follows the δ-Eddingt<strong>on</strong> approximati<strong>on</strong> of<br />

Kiehl et al. (1996). The surface physics are performed using<br />

BATS1E (Biosphere-Atmosphere Transfer Scheme), which<br />

is described in detail by Dickins<strong>on</strong> et al. (1993). The<br />

planetary boundary layer scheme, developed by Holtslag et<br />

al. (1990), is based <strong>on</strong> a n<strong>on</strong>local diffusi<strong>on</strong> c<strong>on</strong>cept, that<br />

takes into account countergradient fluxes resulting from<br />

large-scale eddies in an unstable, well mixed atmosphere.<br />

C<strong>on</strong>vective precipitati<strong>on</strong> is computed using Grell scheme<br />

(Grell, 1993) with the closure assumpti<strong>on</strong> of Fritsch and<br />

Chapell (1980). Subgrid Explicit Moisture Scheme<br />

(SUBEX) is used to handle n<strong>on</strong>c<strong>on</strong>vective clouds and<br />

precipitati<strong>on</strong> resolved by the model. SUBEX accounts for<br />

the subgrid variability in clouds by linking the average grid<br />

cell relative humidity to the cloud fracti<strong>on</strong> and cloud water<br />

(Pal et al. 2000).<br />

3. Experiment design<br />

Two m<strong>on</strong>ths were selected for the first short-term climate<br />

simulati<strong>on</strong>s. July of 1994 in Est<strong>on</strong>ia is characterized by<br />

very warm and dry c<strong>on</strong>diti<strong>on</strong>s. In c<strong>on</strong>trast, July 1998 was<br />

significantly colder than average and the precipitati<strong>on</strong><br />

sums over the regi<strong>on</strong> were higher than normal. The<br />

purpose of the runs was to test the ability of the RegCM to<br />

simulate local climate c<strong>on</strong>diti<strong>on</strong>s during the selected time<br />

periods. The domain that was used for this experiment is<br />

centered over the Baltic Sea (58°N; 17°E), covering 60<br />

points in the east-west and 55 points in the north-south<br />

directi<strong>on</strong>. Horiz<strong>on</strong>tal resoluti<strong>on</strong> of the model is 60 km.<br />

The model has 18 vertical levels. USGS GTOPO30<br />

orography and GLCC Land Cover Characterizati<strong>on</strong> 10<br />

min datasets were used to create the terrain files. Sixhourly<br />

NCEP/NCAR Reanalysis 2 data provided initial<br />

and boundary c<strong>on</strong>diti<strong>on</strong>s for the <strong>on</strong>e-m<strong>on</strong>th model run.<br />

Figure 1. Total precipitati<strong>on</strong> (mm) of July 1994,<br />

simulated with the RegCM.<br />

4. Results<br />

Preliminary results of two m<strong>on</strong>th-l<strong>on</strong>g simulati<strong>on</strong>s for July<br />

1994 and July 1998 are presented here. The validati<strong>on</strong> of<br />

the model was performed by using observati<strong>on</strong>al data from<br />

15 meteorological stati<strong>on</strong>s in Est<strong>on</strong>ia. The general pattern<br />

of m<strong>on</strong>thly mean surface temperature in Est<strong>on</strong>ia simulated<br />

by the RegCM3 was in a good agreement with local<br />

stati<strong>on</strong> data. Absolute values of m<strong>on</strong>thly means were<br />

c<strong>on</strong>siderably underestimated, but this does not necessarily<br />

imply poor model performance (Giorgi et al. 1993).<br />

Patterns of total precipiti<strong>on</strong> were simulated realistically in<br />

both cases. The total precipitati<strong>on</strong> of July 1994 (Figure 1),<br />

that is less than normal for July in Est<strong>on</strong>ia, can be<br />

associated with local scale c<strong>on</strong>vective processes. It<br />

appeared that RegCM3 could capture the regi<strong>on</strong>al<br />

precipitati<strong>on</strong> gradient, that decreased from the Eastern<br />

Est<strong>on</strong>ia towards the Western Est<strong>on</strong>ian Archipelago.<br />

Higher than normal precipitati<strong>on</strong> over the area in July<br />

1998 (Figure 2) can be accounted for the large scale<br />

circulati<strong>on</strong> anomalies and it is modeled less accurately

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