Technical note: Lowermost-stratosphere moist bias in ECMWF IFS model diagnosed from airborne GLORIA observations during winter–spring 2016

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Technical note: Lowermost-stratosphere moist bias in ECMWF IFS model diagnosed from airborne GLORIA observations during winter–spring 2016 ; volume:20 ; number:23 ; year:2020 ; pages:15379-15387
Atmospheric chemistry and physics ; 20, Heft 23 (2020), 15379-15387

Creator: Woiwode, Wolfgang
Dörnbrack, Andreas
Polichtchouk, Inna
Johansson, Sören
Harvey, Ben
Höpfner, Michael
Ungermann, Jörn
Friedl-Vallon, Felix

DOI: 10.5194/acp-20-15379-2020

URN: urn:nbn:de:101:1-2020121704212125043548

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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Associated

Woiwode, Wolfgang
Dörnbrack, Andreas
Polichtchouk, Inna
Johansson, Sören
Harvey, Ben
Höpfner, Michael
Ungermann, Jörn
Friedl-Vallon, Felix

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Technical note: Lowermost-stratospheric moist bias in ECMWF IFS model diagnosed from airborne GLORIA observations during winter/spring 2016

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Technical note: Lowermost-stratosphere moist bias in ECMWF IFS model diagnosed from airborne GLORIA observations during winter–spring 2016

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Other Objects (12)

Technical note: Lowermost-stratospheric moist bias in ECMWF IFS model diagnosed from airborne GLORIA observations during winter/spring 2016

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C-IFS-CB05-BASCOE: stratospheric chemistry in the Integrated Forecasting System of ECMWF

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Technical note: Lowermost-stratospheric moist bias in ECMWF IFS model diagnosed from airborne GLORIA observations during winter/spring 2016

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Extending methane profiles from aircraft into the stratosphere for satellite total column validation using the ECMWF C-IFS and TOMCAT/SLIMCAT 3-D model

Representing Model Uncertainty for Global Atmospheric CO 2 Flux Inversions Using ECMWF-IFS-46R1

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Mediterranean Tropical-Like Cyclones forecasts and analysis usingthe ECMWF Ensemble Forecasting System (IFS) with physical parameterizations perturbations

An improved representation of aerosol acidity in the ECMWF IFS-COMPO 49R1 through the integration of EQSAM4Climv12

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