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oapen-20.500.12657-62289
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oapen-20.500.12657-622892024-03-27T14:14:49Z Perspectives on warm conveyor belts - sensitivities to ensemble configuration and the role for forecast error Pickl, Moritz Numerische Wettervorhersage Vorhersageunsicherheit Warmluftförderbänder Numerical weather prediction Forecast uncertainty Warm conveyor belts thema EDItEUR::P Mathematics and Science::PH Physics Warm conveyor belts (WCBs) are weather systems that substantially modulate the large-scale extratropical circulation. As they can amplify forecast errors and project them onto the Rossby wave pattern, they are of high relevance for numerical weather prediction. This work elaborates on two aspects of WCBs in the context of ensemble forecasts: (1) sensitivities of WCBs to the representation of initial condition and model uncertainties, and (2) the role of WCBs for forecast error growth. 2023-04-06T07:53:48Z 2023-04-06T07:53:48Z 2023 book https://library.oapen.org/handle/20.500.12657/62289 eng Wissenschaftliche Berichte des Instituts für Meteorologie und Klimaforschung des Karlsruher Instituts für Technologie application/pdf Attribution-ShareAlike 4.0 International 9783731512363.pdf https://doi.org/10.5445/KSP/1000150862 KIT Scientific Publishing 10.5445/KSP/1000150862 10.5445/KSP/1000150862 44e29711-8d53-496b-85cc-3d10c9469be9 42 250 Karlsruhe, Germany open access
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OAPEN
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English
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Warm conveyor belts (WCBs) are weather systems that substantially modulate the large-scale extratropical circulation. As they can amplify forecast errors and project them onto the Rossby wave pattern, they are of high relevance for numerical weather prediction. This work elaborates on two aspects of WCBs in the context of ensemble forecasts: (1) sensitivities of WCBs to the representation of initial condition and model uncertainties, and (2) the role of WCBs for forecast error growth.
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9783731512363.pdf
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| spellingShingle |
9783731512363.pdf
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| title_short |
9783731512363.pdf
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| title_full |
9783731512363.pdf
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| title_fullStr |
9783731512363.pdf
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9783731512363.pdf
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9783731512363.pdf
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KIT Scientific Publishing
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2023
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| url |
https://doi.org/10.5445/KSP/1000150862
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1799945191783661568
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