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    Larcform 1 - single column model intercomparison of Arctic air formation, link to model results in NetCDF format (2016)
    PANGAEA
    In:  Supplement to: Pithan, Felix; Ackerman, Andrew; Angevine, Wayne; Hartung, Kerstin; Ickes, Luisa; Kelley, Maxwell; Medeiros, Brian P; Sandu, Irina; Steeneveld, Gert-Jan; Sterk, HAM; Svensson, Gunilla; Vaillancourt, Paul A; Zadra, Ayrton (2016): Strengths and biases of models in representing the Arctic winter boundary layer - the Larcform 1 single column model intercomparison. Journal of Advances in Modeling Earth Systems, 8(3), 1345-1357, https://doi.org/10.1002/2016MS000630
    Details
    Publication Date: 2023-01-13
    Description: Weather and climate models struggle to represent lower tropospheric temperature and moisture profiles and surface fluxes in Arctic winter, not least because they lack or misrepresent physical processes that are specific to high latitudes. The Arctic boundary layer in winter has been observed to be in either a radiatively clear or cloudy state: The radiatively clear state is characterized by strong surface radiative cooling leading to the build-up of surface-based temperature inversions, whereas the cloudy state occurs when cloud liquid water is present in the atmospheric column, allowing little or no surface radiative cooling and leading to weaker and typically elevated temperature inversions. Many large-scale models have been shown to lack the cloudy state, and some do substantially underestimate stability in the clear state. We here present results from the first Lagrangian ARCtic air FORMation experiment (Larcform 1), a GASS (Global atmospheric system studies) single-column model intercomparison which reproduces these biases of large-scale models in an idealised setup.
    Type: Dataset
    Format: application/zip, 8.9 MBytes
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    DATA PANGAEA
  • 2
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    The Climate Response to Emissions Reductions Due to COVID‐19: Initial Results From CovidMIP (2021)
    AGU (American Geophysical Union) | Wiley
    Details
    Publication Date: 2024-02-07
    Description: Many nations responded to the corona virus disease-2019 (COVID-19) pandemic by restricting travel and other activities during 2020, resulting in temporarily reduced emissions of CO2, other greenhouse gases and ozone and aerosol precursors. We present the initial results from a coordinated Intercomparison, CovidMIP, of Earth system model simulations which assess the impact on climate of these emissions reductions. 12 models performed multiple initial-condition ensembles to produce over 300 simulations spanning both initial condition and model structural uncertainty. We find model consensus on reduced aerosol amounts (particularly over southern and eastern Asia) and associated increases in surface shortwave radiation levels. However, any impact on near-surface temperature or rainfall during 2020–2024 is extremely small and is not detectable in this initial analysis. Regional analyses on a finer scale, and closer attention to extremes (especially linked to changes in atmospheric composition and air quality) are required to test the impact of COVID-19-related emission reductions on near-term climate. Key Points: - Lockdown restrictions during COVID-19 have reduced emissions of aerosols and greenhouse gases - 12 CMIP6 Earth system models have performed coordinated experiments to assess the impact of this on climate - Aerosol amounts are reduced over southern and eastern Asia but there is no detectable change in annually averaged temperature or precipitation
    Type: Article , PeerReviewed
    Format: text
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    PAPER (OCEANREP)
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