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- Heiner Lange
- Hans Ertel Centre for Weather Research, Data Assimilation Branch, Ludwig-Maximilians-Universität München, Munich, Germany
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- Tijana Janjić
- Hans Ertel Centre for Weather Research, Data Assimilation Branch, DWD Offenbach, Germany
抄録
<jats:p> Aircraft observations of wind and temperature collected by airport surveillance radars [Mode-S Enhanced Surveillance (Mode-S EHS)] were assimilated in the Consortium for Small-Scale Modeling Kilometre-scale Ensemble Data Assimilation (COSMO-KENDA), which couples an ensemble Kalman filter to a 40-member ensemble of the convection permitting COSMO-DE model. The number of observing aircrafts in Mode-S EHS was about 15 times larger than in the AMDAR system. In the comparison of both aircraft observation systems, a similar observation error standard deviation was diagnosed for wind. For temperature, a larger error was diagnosed for Mode-S EHS. With the high density of Mode-S EHS observations, a reduction of temperature and wind error in forecasts of 1 and 3 hours was found mainly in the flight level and less near the surface. The amount of Mode-S EHS data was reduced by random thinning to test the effect of a varying observation density. With the current data assimilation setup, a saturation of the forecast error reduction was apparent when more than 50% of the Mode-S EHS data were assimilated. Forecast kinetic energy spectra indicated that the reduction in error is related to analysis updates on all scales resolved by COSMO-DE. </jats:p>
収録刊行物
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- Monthly Weather Review
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Monthly Weather Review 144 (5), 1697-1711, 2016-05
American Meteorological Society
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キーワード
詳細情報 詳細情報について
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- CRID
- 1360579818931905152
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- ISSN
- 15200493
- 00270644
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- データソース種別
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- Crossref