4.6 Article

Diverse Inter-Annual Variations of Winter Siberian High and Link With Eurasian Snow in Observation and BCC-CSM2-MR Coupled Model Simulation

Journal

FRONTIERS IN EARTH SCIENCE
Volume 9, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/feart.2021.761311

Keywords

Siberian high; diverse inter-annual variation; Eurasian snow; CMIP6; BCC-CSM2-MR coupled model

Funding

  1. National Key Research and Development Program of China [2019YFC1510104]
  2. National Natural Science Foundation of China [41975102]
  3. Basic Scientific Research and Operation Foundation of CAMS [2021Z004, 2021Z007]
  4. State Key Program of National Natural Science of China
  5. Civil Aviation Administration of China [U2033207]

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The inter-annual variation of observed Siberian high modes was found to be connected with pre-autumn and simultaneous Eurasian snow cover anomalies, but the BCC-CSM2-MR coupled climate model did not capture this relationship accurately. The BCC-CSM2-MR coupled climate model was able to partly reproduce the observed Siberian high variation modes, but failed to capture the spatial distribution and statistics of boreal fall and winter Eurasian snowpack.
An observational study illustrates that three distinct modes of winter Siberian high variability exist in observations at the inter-annual time scale. In this paper, we compare the connection between these diverse Siberian high variation modes with pre-autumn and simultaneous Eurasian snow cover in an observation and BCC-CSM2-MR coupled climate model run under pre-industrial conditions from the CMIP6 project. Our analyses indicate that the inter-annual variation of observed Siberian high modes do have a connection with pre-autumn and simultaneous Eurasian snow cover anomalies, but the BCC-CSM2-MR coupled climate model does not capture the observed diverse Eurasian snow-Siberian high relationships well. The BCC-CSM2-MR coupled climate model can partly reproduce the observed Siberian high variation modes, but fail to capture the spatial distribution and statistics of boreal fall and winter Eurasian snowpack, which is a key facet of simulated diverse Siberian high variability irrespective of the influence of Eurasian snow cover.

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