Response of Arctic freshwater to the Arctic Oscillation in coupled climate models
The freshwater content (FWC) of the Arctic Ocean is intimately linked to the stratification—a physical characteristic of the Arctic Ocean with wide relevance for climate and biology. Here, we explore the relationship between atmospheric circulation and Arctic FWC across 12 different control-run simu...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
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American Meteorological Society
2020
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| _version_ | 1826283161219235840 |
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| author | Cornish, S Kostov, Y Johnson, H Lique, C |
| author_facet | Cornish, S Kostov, Y Johnson, H Lique, C |
| author_sort | Cornish, S |
| collection | OXFORD |
| description | The freshwater content (FWC) of the Arctic Ocean is intimately linked to the stratification—a physical characteristic of the Arctic Ocean with wide relevance for climate and biology. Here, we explore the relationship between atmospheric circulation and Arctic FWC across 12 different control-run simulations from phase 5 of the Coupled Model Intercomparison Project. Using multiple lagged regression, we seek to isolate the linear response of Arctic FWC to a step change in the strength of the Arctic Oscillation (AO) as well as the second and third orthogonal modes of SLP variability over the Arctic domain. There is broad agreement among models that a step change to a more anticyclonic AO leads to an increase in Arctic FWC, with an e-folding time scale of 5–10 yr. However, models differ widely in the degree to which a linear response to SLP variability can explain FWC changes. Although the mean states, time scales, and magnitudes of FWC variability may be broadly similar, the physical origins of variability are highly inconsistent among models. We perform a robustness test that incorporates a Monte Carlo approach to determine which response functions are most likely to represent causal, physical relationships within the models and which are artifacts of regression. Convolution with SLP reanalysis data shows that the four most robust response functions have some skill at reproducing observed accumulation of FWC during the late 1990s and 2000s, consistent with the idea that this change was largely wind driven. |
| first_indexed | 2024-03-07T00:54:44Z |
| format | Journal article |
| id | oxford-uuid:87a56548-9c20-4dbb-b6c7-14ba12807e5a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:54:44Z |
| publishDate | 2020 |
| publisher | American Meteorological Society |
| record_format | dspace |
| spelling | oxford-uuid:87a56548-9c20-4dbb-b6c7-14ba12807e5a2022-03-26T22:12:04ZResponse of Arctic freshwater to the Arctic Oscillation in coupled climate modelsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:87a56548-9c20-4dbb-b6c7-14ba12807e5aEnglishSymplectic Elements at OxfordAmerican Meteorological Society2020Cornish, SKostov, YJohnson, HLique, CThe freshwater content (FWC) of the Arctic Ocean is intimately linked to the stratification—a physical characteristic of the Arctic Ocean with wide relevance for climate and biology. Here, we explore the relationship between atmospheric circulation and Arctic FWC across 12 different control-run simulations from phase 5 of the Coupled Model Intercomparison Project. Using multiple lagged regression, we seek to isolate the linear response of Arctic FWC to a step change in the strength of the Arctic Oscillation (AO) as well as the second and third orthogonal modes of SLP variability over the Arctic domain. There is broad agreement among models that a step change to a more anticyclonic AO leads to an increase in Arctic FWC, with an e-folding time scale of 5–10 yr. However, models differ widely in the degree to which a linear response to SLP variability can explain FWC changes. Although the mean states, time scales, and magnitudes of FWC variability may be broadly similar, the physical origins of variability are highly inconsistent among models. We perform a robustness test that incorporates a Monte Carlo approach to determine which response functions are most likely to represent causal, physical relationships within the models and which are artifacts of regression. Convolution with SLP reanalysis data shows that the four most robust response functions have some skill at reproducing observed accumulation of FWC during the late 1990s and 2000s, consistent with the idea that this change was largely wind driven. |
| spellingShingle | Cornish, S Kostov, Y Johnson, H Lique, C Response of Arctic freshwater to the Arctic Oscillation in coupled climate models |
| title | Response of Arctic freshwater to the Arctic Oscillation in coupled climate models |
| title_full | Response of Arctic freshwater to the Arctic Oscillation in coupled climate models |
| title_fullStr | Response of Arctic freshwater to the Arctic Oscillation in coupled climate models |
| title_full_unstemmed | Response of Arctic freshwater to the Arctic Oscillation in coupled climate models |
| title_short | Response of Arctic freshwater to the Arctic Oscillation in coupled climate models |
| title_sort | response of arctic freshwater to the arctic oscillation in coupled climate models |
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