... | @@ -14,13 +14,19 @@ from the [CMIP6](https://esgf-node.llnl.gov/search/cmip6/) historical runs (data |
... | @@ -14,13 +14,19 @@ from the [CMIP6](https://esgf-node.llnl.gov/search/cmip6/) historical runs (data |
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Fig. 1: Time series of Arctic sea-ice area in (a) March and (b) September. The thick dashed black curve is the multi-model mean, the grey shading is +/- 2 million km^2 around the multi-model mean, and the thick solid black curve is the OSI-450 satellite dataset. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1: Time series of Arctic sea-ice area in (a) March and (b) September. The thick dashed black curve is the multi-model mean, the grey shading is +/- 2 million km^2 around the multi-model mean, and the thick solid black curve is the OSI-450 satellite dataset. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1b: Time series of Arctic sea-ice area in (a) March and (b) September for SSP1-2.6. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 1c: Time series of Arctic sea-ice area in (a) March and (b) September for SSP5-8.5. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice area for each model (number of models for the multi-model mean).
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Fig. 2: Time series of Arctic sea-ice volume in (a) March and (b) September. The thick dashed black curve is the multi-model mean, the grey shading is +/- 10,000 km^3 around the multi-model mean, and the thick solid black curve is the PIOMAS reanalysis dataset. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2: Time series of Arctic sea-ice volume in (a) March and (b) September. The thick dashed black curve is the multi-model mean, the grey shading is +/- 10,000 km^3 around the multi-model mean, and the thick solid black curve is the PIOMAS reanalysis dataset. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2b: Time series of Arctic sea-ice volume in (a) March and (b) September for SSP1-2.6. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 2c: Time series of Arctic sea-ice volume in (a) March and (b) September for SSP5-8.5. The thick dashed black curve is the multi-model mean. The number in brackets indicates the number of members to compute the mean sea-ice volume for each model (number of models for the multi-model mean).
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Fig. 3: Latitudinal transect of northward Atlantic ocean heat transport (OHT) averaged over 2000-2014. The thick solid line is the reanalysis from Trenberth and Fasullo (2017) and the different dots show the hydrographic measurements with their associated uncertainty represented as error bars. The number in brackets indicates the number of members to compute the mean OHT for each model.
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Fig. 3: Latitudinal transect of northward Atlantic ocean heat transport (OHT) averaged over 2000-2014. The thick solid line is the reanalysis from Trenberth and Fasullo (2017) and the different dots show the hydrographic measurements with their associated uncertainty represented as error bars. The number in brackets indicates the number of members to compute the mean OHT for each model.
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