2017
DOI: 10.1002/2017gl073622
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Impacts of surface boundary conditions on regional climate model simulations of European climate during the Last Glacial Maximum

Abstract: We examine the influences of North Atlantic sea surface temperatures (SSTs) and vegetation on regional climate simulations over Europe during the Last Glacial Maximum (LGM). Simulated regional temperature and precipitation patterns over Europe are considerably improved when using revised SSTs based on proxy data. Likewise, the simulated permafrost is more accurately reproduced with the SST modifications. These improvements are partially related to the changed regional atmospheric circulation due to the revised… Show more

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Cited by 49 publications
(70 citation statements)
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“…In a recent application, the regional weather research and forecasting (WRF) model was adapted to LGM boundary conditions and 30‐year time slices were simulated . The authors showed some added value of the RCM compared to the driving GCM simulation.…”
Section: The Last Glacial Maximummentioning
confidence: 84%
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“…In a recent application, the regional weather research and forecasting (WRF) model was adapted to LGM boundary conditions and 30‐year time slices were simulated . The authors showed some added value of the RCM compared to the driving GCM simulation.…”
Section: The Last Glacial Maximummentioning
confidence: 84%
“…Due to their large extent, ice sheets are able to influence the atmospheric circulation . Thus, the application of RCMs to glacial periods demands a careful, and in the literature barely addressed, implementation of the available ice sheet and land‐sea‐mask information as surface boundary conditions …”
Section: Models and Boundary Conditionsmentioning
confidence: 99%
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“…The rapid diurnal cycle of the boundary layer generates turbulence, which makes the boundary layer and its clouds challenging to represent in numerical weather prediction models and global climate models (Bony et al, 2015;Holtslag et al, 2013;Pithan et al, 2015). The challenges associated with boundary layer turbulence have implications for weather forecasting, assessment of regional climate variability (Ludwig et al, 2017), and climate change mitigation (Rigden & Li, 2017). Rapid atmospheric turbulence at the air-sea interface may have significant climatic impacts because of nonlinearities in the ocean's response to atmospheric forcing (Williams, 2012).…”
Section: Seconds and Minutes: Turbulencementioning
confidence: 99%