2021
DOI: 10.1088/1748-9326/abf28a
|View full text |Cite
|
Sign up to set email alerts
|

Can we trust CMIP5/6 future projections of European winter precipitation?

Abstract: IPCC models project a likely increase in winter precipitation over northern Europe under a high-emission scenario. These projections, however, typically rely on relatively coarse ∼100 km resolution models that can misrepresent important processes driving precipitation, such as extratropical cyclone activity, and ocean eddies. Here, we show that a pioneering 50 km atmosphere–1/12° ocean global coupled model projects a substantially larger increase in winter precipitation over northwestern Europe by mid-century … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

2
14
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3
3

Relationship

0
6

Authors

Journals

citations
Cited by 17 publications
(17 citation statements)
references
References 59 publications
2
14
0
Order By: Relevance
“…The time-mean SST biases of NE and EP GCM simulations with respect to ERA5 reanalysis data are shown in Figures 3a and 3b, respectively. Both the GS and central North Atlantic areas have large SST biases in the two GCM ensembles, which is consistent with previous studies 14,17 . However, we find significantly lower mean SST biases in GCMs with EP ocean resolution in most areas, with a few exceptions (e.g., Labrador Sea, Fig.…”
Section: Analysis Of Oceanic and Atmospheric Bias Reductionssupporting
confidence: 92%
See 4 more Smart Citations
“…The time-mean SST biases of NE and EP GCM simulations with respect to ERA5 reanalysis data are shown in Figures 3a and 3b, respectively. Both the GS and central North Atlantic areas have large SST biases in the two GCM ensembles, which is consistent with previous studies 14,17 . However, we find significantly lower mean SST biases in GCMs with EP ocean resolution in most areas, with a few exceptions (e.g., Labrador Sea, Fig.…”
Section: Analysis Of Oceanic and Atmospheric Bias Reductionssupporting
confidence: 92%
“…We also show that EP GCMs outperform NE GCMs in reproducing the wintertime NAC position and underlying mean SST distribution, as well as better resolving patterns of variability in the high troposphere geopotential heights. Therefore, based on earlier assumptions 14,16,17,30 and our 22 GCM ensemble, we hypothesize these GCM bias reductions induced by the presence of mesoscale eddies as a strong source of improvement for WEAB frequencies. This result implies that greater confidence can be attributed to paleoclimate simulations or future projections in terms of WEAB activity and associated climate extremes when considering GCMs with an EP ocean resolution.…”
mentioning
confidence: 70%
See 3 more Smart Citations