CMIP6/OMIP simulations of the Arctic Ocean and the impact of resolutions ...
<!--!introduction!--> Underlying the polar climate system is a number of closely coupled processes that are interconnected through complex feedbacks on a range of temporal and spatial scales. Observations are limited in these inaccessible and remote areas, and understanding of these processes...
| Main Authors: | , , , , , , , , |
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| Format: | Conference Object |
| Language: | unknown |
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GFZ German Research Centre for Geosciences
2023
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.57757/iugg23-1980 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017559 |
| Summary: | <!--!introduction!--> Underlying the polar climate system is a number of closely coupled processes that are interconnected through complex feedbacks on a range of temporal and spatial scales. Observations are limited in these inaccessible and remote areas, and understanding of these processes often relies on regional and global climate modelling. However, large uncertainties remain due to unresolved key processes in both the regional and global context. In this presentation, we first show that large model spread and biases exist in simulating the Arctic Ocean hydrography from the latest CMIP6/OMIP experiments. Our results indicate there are almost no improvements compared with the previous CORE-II experiments (with similar OMIP-like protocol). The model spread and biases are especially conspicuous in the simulation of subsurface halocline and Atlantic Water, the latter often being too warm/thick/deep. The models largely agree on the interannual/decadal variabilities of key metrics, such as ... : The 28th IUGG General Assembly (IUGG2023) (Berlin 2023) ... |
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