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Sökning: WFRF:(Seneviratne Sonia I.) > Summertime Rossby w...

LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004989naa a2200433 4500
001oai:lup.lub.lu.se:a5403e50-de02-42a1-a01c-a97786b7a194
003SwePub
008221108s2022 | |||||||||||000 ||eng|
0247 a https://lup.lub.lu.se/record/a5403e50-de02-42a1-a01c-a97786b7a1942 URI
0247 a https://doi.org/10.5194/wcd-3-905-20222 DOI
040 a (SwePub)lu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
1001 a Luo, Feiu Vrije Universiteit Amsterdam,Royal Netherlands Meteorological Institute4 aut
2451 0a Summertime Rossby waves in climate models : Substantial biases in surface imprint associated with small biases in upper-level circulation
264 c 2022-08-08
264 1b Copernicus GmbH,c 2022
300 a 31 s.
520 a In boreal summer, circumglobal Rossby waves can promote stagnating weather systems that favor extreme events like heat waves or droughts. Recent work showed that amplified Rossby wavenumber 5 and 7 show phase-locking behavior which can trigger simultaneous warm anomalies in different breadbasket regions in the Northern Hemisphere. These types of wave patterns thus pose a potential threat to human health and ecosystems. The representation of such persistent wave events in summer and their surface anomalies in general circulation models (GCMs) has not been systematically analyzed. Here we validate the representation of wavenumbers 1-10 in three state-of-The-Art global climate models (EC-Earth, CESM, and MIROC), quantify their biases, and provide insights into the underlying physical reasons for the biases. To do so, the ExtremeX experiments output data were used, consisting of (1) historic simulations with a freely running atmosphere with prescribed ocean and experiments that additionally (2) nudge towards the observed upper-level horizontal winds, (3) prescribe soil moisture conditions, or (4) do both. The experiments are used to trace the sources of the model biases to either the large-scale atmospheric circulation or surface feedback processes. Focusing on wave 5 and wave 7, we show that while the wave's position and magnitude are generally well represented during high-Amplitude (>g 1.5 SD) episodes, the associated surface anomalies are substantially underestimated. Near-surface temperature, precipitation and mean sea level pressure are typically underestimated by a factor of 1.5 in terms of normalized standard deviations. The correlations and normalized standard deviations for surface anomalies do not improve if the soil moisture is prescribed. However, the surface biases are almost entirely removed when the upper-level atmospheric circulation is nudged. When both prescribing soil moisture and nudging the upper-level atmosphere, then the surface biases remain quite similar to the experiment with a nudged atmosphere only. We conclude that the near-surface biases in temperature and precipitation are in the first place related to biases in the upper-level circulation. Thus, relatively small biases in the models' representation of the upper-level waves can strongly affect associated temperature and precipitation anomalies.
650 7a NATURVETENSKAPx Geovetenskap och miljövetenskapx Meteorologi och atmosfärforskning0 (SwePub)105082 hsv//swe
650 7a NATURAL SCIENCESx Earth and Related Environmental Sciencesx Meteorology and Atmospheric Sciences0 (SwePub)105082 hsv//eng
7001 a Selten, Franku Royal Netherlands Meteorological Institute4 aut
7001 a Wehrli, Kathrinu ETH Zürich4 aut
7001 a Kornhuber, Kaiu Lamont-Doherty Earth Observatory4 aut
7001 a Le Sager, Philippeu Royal Netherlands Meteorological Institute4 aut
7001 a May, Wilhelmu Lund University,Lunds universitet,MERGE: ModElling the Regional and Global Earth system,Centrum för miljö- och klimatvetenskap (CEC),Naturvetenskapliga fakulteten,Centre for Environmental and Climate Science (CEC),Faculty of Science4 aut0 (Swepub:lu)cec-wem
7001 a Reerink, Thomasu Royal Netherlands Meteorological Institute4 aut
7001 a Seneviratne, Sonia I.u ETH Zürich4 aut
7001 a Shiogama, Hideou National Institute for Environmental Studies of Japan4 aut
7001 a Tokuda, Daisukeu Korea Advanced Institute of Science and Technology (KAIST)4 aut
7001 a Kim, Hyungjunu University of Tokyo,Korea Advanced Institute of Science and Technology (KAIST)4 aut
7001 a Coumou, Dimu Royal Netherlands Meteorological Institute,Vrije Universiteit Amsterdam4 aut
7102 a Vrije Universiteit Amsterdamb Royal Netherlands Meteorological Institute4 org
7730 t Weather and Climate Dynamicsd : Copernicus GmbHg 3:3, s. 905-935q 3:3<905-935x 2698-4016
8564 u http://dx.doi.org/10.5194/wcd-3-905-2022x freey FULLTEXT
8564 8u https://lup.lub.lu.se/record/a5403e50-de02-42a1-a01c-a97786b7a194
8564 8u https://doi.org/10.5194/wcd-3-905-2022

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