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Sökning: id:"swepub:oai:gup.ub.gu.se/328715" > Kilometer-Scale Mul...

  • Kukulies, JuliaGothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences (författare)

Kilometer-Scale Multimodel and Multiphysics Ensemble Simulations of a Mesoscale Convective System in the Lee of the Tibetan Plateau: Implications for Climate Simulations

  • Artikel/kapitelEngelska2023

Förlag, utgivningsår, omfång ...

  • 2023

Nummerbeteckningar

  • LIBRIS-ID:oai:gup.ub.gu.se/328715
  • https://gup.ub.gu.se/publication/328715URI
  • https://doi.org/10.1175/JCLI-D-22-0240.1DOI

Kompletterande språkuppgifter

  • Språk:engelska

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  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Kilometer-scale climate model simulations are useful tools to investigate past and future changes in extreme precipitation, particularly in mountain regions, where convection is influenced by complex topography and land–atmosphere interactions. In this study, we evaluate simulations of a flood-producing mesoscale convective system (MCS) downstream of the Tibetan Plateau (TP) in the Sichuan basin from a kilometer-scale multimodel and multiphysics ensemble. The aim is to better understand the physical processes that need to be correctly simulated for successfully capturing downstream MCS formation. We assess how the ensemble members simulate these processes and how sensitive the simulations are to different model configurations. The preceding vortex evolution over the TP, its interaction with the jet stream, and water vapor advection into the basin are identified as key processes for the MCS formation. Most modeling systems struggle to capture the interaction between the vortex and jet stream, and perturbing the model physics has little impact, while constraining the large-scale flow by spectral nudging improves the simulation. This suggests that an accurate representation of the large-scale forcing is crucial to correctly simulate the MCS and associated precipitation. To verify whether the identified shortcomings systematically affect the MCS climatology in longer-term simulations, we evaluate a 1-yr WRF simulation and find that the seasonal cycle and spatial distribution of MCSs are reasonably well captured and not improved by spectral nudging. While the simulations of the MCS case highlight challenges in extreme precipitation forecasting, we conclude that these challenges do not systematically affect simulated climatological MCS characteristics.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Prein, Andreas F. (författare)
  • Curio, JuliaGothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences(Swepub:gu)xcurju (författare)
  • Yu, Hongyong (författare)
  • Chen, Deliang,1961Gothenburg University,Göteborgs universitet,Institutionen för geovetenskaper,Department of Earth Sciences(Swepub:gu)xchede (författare)
  • Göteborgs universitetInstitutionen för geovetenskaper (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Journal of Climate36:17, s. 5963-59870894-87551520-0442

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