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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Geosci. Model Dev., 7, 3037-3057, 2014
http://www.geosci-model-dev.net/7/3037/2014/
doi:10.5194/gmd-7-3037-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
Development and technical paper
18 Dec 2014
Evaluation of North Eurasian snow-off dates in the ECHAM5.4 atmospheric general circulation model
P. Räisänen1, A. Luomaranta1, H. Järvinen2, M. Takala1, K. Jylhä1, O. N. Bulygina3, K. Luojus1, A. Riihelä1, A. Laaksonen1,4, J. Koskinen5, and J. Pulliainen1 1Finnish Meteorological Institute, Helsinki, Finland
2Department of Physics, University of Helsinki, Helsinki, Finland
3All-Russian Research Institute of Hydrometeorological Information, World Data Centre, Obninsk, Russian Federation (RIHMI-WDC), Russia
4Department of Physics, University of Eastern Finland, Kuopio, Finland
5Finnish Geodetic Institute, Masala, Finland
Abstract. The timing of springtime end of snowmelt (snow-off date) in northern Eurasia in version 5.4 of the ECHAM5 atmospheric general circulation model (GCM) is evaluated through comparison with a snow-off date data set based on space-borne microwave radiometer measurements and with Russian snow course data. ECHAM5 reproduces well the observed gross geographical pattern of snow-off dates, with earliest snow-off (in March) in the Baltic region and latest snow-off (in June) in the Taymyr Peninsula and in northeastern parts of the Russian Far East. The primary biases are (1) a delayed snow-off in southeastern Siberia (associated with too low springtime temperature and too high surface albedo, in part due to insufficient shielding by canopy); and (2) an early bias in the western and northern parts of northern Eurasia. Several sensitivity experiments were conducted, where biases in simulated atmospheric circulation were corrected through nudging and/or the treatment of surface albedo was modified. While this alleviated some of the model biases in snow-off dates, 2 m temperature and surface albedo, especially the early bias in snow-off in the western parts of northern Eurasia proved very robust and was actually larger in the nudged runs.

A key issue underlying the snow-off biases in ECHAM5 is that snowmelt occurs at too low temperatures. Very likely, this is related to the treatment of the surface energy budget. On one hand, the surface temperature Ts is not computed separately for the snow-covered and snow-free parts of the grid cells, which prevents Ts from rising above 0 °C before all snow has vanished. Consequently, too much of the surface net radiation is consumed in melting snow and too little in heating the air. On the other hand, ECHAM5 does not include a canopy layer. Thus, while the albedo reduction due to canopy is accounted for, the shielding of snow on ground by the overlying canopy is not considered, which leaves too much solar radiation available for melting snow.


Citation: Räisänen, P., Luomaranta, A., Järvinen, H., Takala, M., Jylhä, K., Bulygina, O. N., Luojus, K., Riihelä, A., Laaksonen, A., Koskinen, J., and Pulliainen, J.: Evaluation of North Eurasian snow-off dates in the ECHAM5.4 atmospheric general circulation model, Geosci. Model Dev., 7, 3037-3057, doi:10.5194/gmd-7-3037-2014, 2014.
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Short summary
Snowmelt influences greatly the climatic conditions in spring. This study evaluates the timing of springtime end of snowmelt in the ECHAM5 model. A key finding is that, in much of northern Eurasia, snow disappears too early in ECHAM5, in spite of a slight cold bias in spring. This points to the need for a more comprehensive treatment of the surface energy budget. In particular, the surface temperature for the snow-covered and snow-free parts of a climate model grid cell should be separated.
Snowmelt influences greatly the climatic conditions in spring. This study evaluates the timing...
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