| Autor: |
Alix Rasmussen, Jens Havskov Sørensen, Sissi Kiilsholm |
| Rok vydání: |
2001 |
| Předmět: |
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| Zdroj: |
Physics and Chemistry of the Earth, Part B: Hydrology, Oceans and Atmosphere. 26:123-127 |
| ISSN: |
1464-1909 |
| Popis: |
The Danish Atmospheric Chemistry FOrecasting System (DACFOS) is a receptor point model based on DMI's transport model using data from the numerical weather prediction model DMI-HIRLAM and employing EMEP's chemistry scheme from the MSC-W oxidant model. Surface ozone forecasts for the summers 1997-98 are verified for two English and two Danish stations, using the statistical parameters suggested by the Technical Working Group on Ozone Forecasting and Data Exchange (TWG-DFO). The forecast skill varies for the two countries, and a relative high positive bias is seen for the English forecasts in comparison with the Danish forecasts. This high positive bias is investigated by a sensitivity study considering cases with different air masses classified by the German Weather Service (DWD). The study shows that the positive bias for England originated from polar and midlatitudinal continental airmasses. These air masses do travel over different emission areas when they arrive to Denmark and England, so the difference in bias could be explained by inaccurate emissions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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