Greenland summer blocking characteristics: an evaluation of a high-resolution multi-model ensemble

Abstract Atmospheric blocking is a phenomenon that can lead to extreme weather events over a large region, yet its causes are not fully understood. Global climate models show limitations in representing Northern Hemisphere blocking, especially its frequency, and decadal variability in Greenland blocking in summer in the recent decades. In this study we evaluate the ability of high-resolution (HighResMIP) Earth System Models (ESMs) to simulate summer blocking over the Greenland area, using different but complementary methods to describe the characteristics of blocking. We find that the HighResMIP ensemble can reproduce the spatial pattern of Greenland blocking events, albeit with systematic biases, and capture the relative frequencies of the main blocking patterns: namely the wave breaking structure, North Atlantic ridge, and omega-type blocking. However, the HighResMIP ensemble fails to simulate the observed temporal variations of Greenland blocking index (GB2) and the extremely high values of daily GB2 observed in recent decades. In addition, we do not find clearly superior representation of blocking features from higher-resolution in HighResMIP models compared with lower-resolution models. We also find large sea surface temperature (SST) biases over the North Atlantic and seas surrounding Greenland, and biases in moisture transport over the North Atlantic toward Greenland, especially over the western flank of blocking areas, which might together contribute to model biases in the representation of blocking magnitude.

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Publication Details

Journal
Climate Dynamics
Published
2024-10-16
DOI
https://doi.org/10.1007/s00382-024-07453-2
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.57

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article

Greenland summer blocking characteristics: an evaluation of a high-resolution multi-model ensemble

Jennifer L. Catto, Jacob Maddison, Xavier Fettweis, Edward Hanna et al.
2 citations
Climate Dynamics
Climate variability and models
0.57
article

Greenland summer blocking characteristics: an evaluation of a high-resolution multi-model ensemble

Jennifer L. Catto, Jacob Maddison, Xavier Fettweis, Edward Hanna, Linh N. Luu, James A. Screen, Dilkushi de Alwis Pitts
article en
2 citations

Abstract

Abstract Atmospheric blocking is a phenomenon that can lead to extreme weather events over a large region, yet its causes are not fully understood. Global climate models show limitations in representing Northern Hemisphere blocking, especially its frequency, and decadal variability in Greenland blocking in summer in the recent decades. In this study we evaluate the ability of high-resolution (HighResMIP) Earth System Models (ESMs) to simulate summer blocking over the Greenland area, using different but complementary methods to describe the characteristics of blocking. We find that the HighResMIP ensemble can reproduce the spatial pattern of Greenland blocking events, albeit with systematic biases, and capture the relative frequencies of the main blocking patterns: namely the wave breaking structure, North Atlantic ridge, and omega-type blocking. However, the HighResMIP ensemble fails to simulate the observed temporal variations of Greenland blocking index (GB2) and the extremely high values of daily GB2 observed in recent decades. In addition, we do not find clearly superior representation of blocking features from higher-resolution in HighResMIP models compared with lower-resolution models. We also find large sea surface temperature (SST) biases over the North Atlantic and seas surrounding Greenland, and biases in moisture transport over the North Atlantic toward Greenland, especially over the western flank of blocking areas, which might together contribute to model biases in the representation of blocking magnitude.

Climate DynamicsVol. 62(12)
University of Liège (BE), University of Exeter (GB), University of Lincoln (GB), Zayed University (AE)
Sight Research UK, Natural Environment Research Council
Climate action, Life below water
Openalex Percentile: Top 33%
Climate variability and models
0.57
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