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Gravity-Wave-Driven Seasonal Variability of Temperature Differences Between ECMWF IFS and Rayleigh Lidar Measurements in the Lee of the Southern Andes

Gisinger, Sonja and Polichtchouk, Inna and Dörnbrack, Andreas and Reichert, Robert and Kaifler, Bernd and Kaifler, Natalie and Rapp, Markus and Sandu, Irina (2022) Gravity-Wave-Driven Seasonal Variability of Temperature Differences Between ECMWF IFS and Rayleigh Lidar Measurements in the Lee of the Southern Andes. Journal of Geophysical Research: Atmospheres (127), pp. 1-19. Wiley. doi: 10.1029/2021JD036270. ISSN 2169-897X.

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Official URL: https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021JD036270


Long-term high-resolution temperature data of the Compact Rayleigh Autonomous Lidar (CORAL) is used to evaluate temperature and gravity wave (GW) activity in ECMWF Integrated Forecasting System (IFS) over Río Grande (53.79°S, 67.75°W), which is a hot spot of stratospheric GWs in winter. Seasonal and altitudinal variations of the temperature differences between the IFS and lidar are studied for 2018 with a uniform IFS version. Moreover, interannual variations are considered taking into account updated IFS versions. We find monthly mean temperature differences <2 K at 20–40 km altitude. At 45–55 km, the differences are smaller than 4 K during summer. The largest differences are found during winter (4 K in May 2018 and −10 K in August 2018, July 2019 and 2020). The width of the difference distribution (15th/85th percentiles), the root mean square error, and maximum differences between instantaneous individual profiles are also larger during winter (>±10 K) and increase with altitude. We relate this seasonal variability to middle atmosphere GW activity. In the upper stratosphere and lower mesosphere, the observed temperature differences result from both GW amplitude and phase differences. The IFS captures the seasonal cycle of GW potential energy (Ep) well, but underestimates Ep in the middle atmosphere. Experimental IFS simulations without damping by the model sponge for May and August 2018 show an increase in the monthly mean Ep above 45 km from only ≈10% of the Ep derived from the lidar measurements to 26% and 42%, respectively. GWs not resolved in the IFS are likely explaining the remaining underestimation of the Ep.

Item URL in elib:https://elib.dlr.de/187339/
Document Type:Article
Title:Gravity-Wave-Driven Seasonal Variability of Temperature Differences Between ECMWF IFS and Rayleigh Lidar Measurements in the Lee of the Southern Andes
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Gisinger, SonjaDLR, IPAhttps://orcid.org/0000-0001-8188-4458UNSPECIFIED
Dörnbrack, AndreasDLR, IPAhttps://orcid.org/0000-0003-0936-0216UNSPECIFIED
Reichert, RobertDLR, IPAhttps://orcid.org/0000-0002-9670-9369UNSPECIFIED
Kaifler, BerndDLR, IPAhttps://orcid.org/0000-0002-5891-242XUNSPECIFIED
Kaifler, NatalieDLR, IPAhttps://orcid.org/0000-0002-3118-6480UNSPECIFIED
Rapp, MarkusDLR, IPAhttps://orcid.org/0000-0003-1508-5900UNSPECIFIED
Sandu, IrinaEuropean Centre for Medium-Range Weather Forecasts, Reading, UKUNSPECIFIEDUNSPECIFIED
Date:26 June 2022
Journal or Publication Title:Journal of Geophysical Research: Atmospheres
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 1-19
Keywords:Gravity waves, lidar observations, weather model
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Middle Atmosphere
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Transport Meteorology
Institute of Atmospheric Physics > Lidar
Deposited By: Gisinger, Sonja
Deposited On:07 Jul 2022 13:20
Last Modified:28 Feb 2023 14:55

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