Articles | Volume 17, issue 1
Ocean Sci., 17, 59–90, 2021
https://doi.org/10.5194/os-17-59-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Ocean Sci., 17, 59–90, 2021
https://doi.org/10.5194/os-17-59-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 13 Jan 2021
Research article | 13 Jan 2021
Antarctic Bottom Water and North Atlantic Deep Water in CMIP6 models
Céline Heuzé
Related authors
Martin Mohrmann, Céline Heuzé, and Sebastiaan Swart
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-23, https://doi.org/10.5194/tc-2021-23, 2021
Preprint under review for TC
Short summary
Short summary
Polynyas are large open water areas within the sea ice. We developed a method to estimate their area, distribution, and frequency for the Southern Ocean in climate models and observations. All models have polynyas along the coast but few do so in the open ocean, in contrast to observations. We examine potential atmospheric and oceanic drivers of open water polynyas and discuss recently implemented schemes that may have improved some models’ polynya representation.
Amy Solomon, Céline Heuzé, Benjamin Rabe, Sheldon Bacon, Laurent Bertino, Patrick Heimbach, Jun Inoue, Doroteaciro Iovino, Ruth Mottram, Xiangdong Zhang, Yevgeny Aksenov, Ronan McAdam, An Nguyen, Roshin P. Raj, and Han Tang
Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-113, https://doi.org/10.5194/os-2020-113, 2020
Preprint under review for OS
Short summary
Short summary
Freshwater in the Arctic Ocean plays a critical role in the global climate system by impacting ocean circulations, stratification, mixing, and emergent regimes. In this review paper we assess how the Arctic freshwater budget in the 2010s has changed relative to the 2000s. Estimates from satellites and reanalyses show a stabilization in the 2010s due to an increased compensation between a freshening of the Beaufort Gyre and a reduction in freshwater in the Amerasian and Eurasian basins.
Céline Heuzé and Adriano Lemos
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-123, https://doi.org/10.5194/tc-2020-123, 2020
Revised manuscript under review for TC
Short summary
Short summary
For navigation or science planning, knowing when sea ice will open in advance is a prerequisite. Yet to date routine spaceborne microwave observations of sea ice are unable to do so. We here present the first method based on spaceborne infrared that can forecast an opening several days ahead. We develop it specifically for the Weddell Polynya, a large hole in the Antarctic winter ice cover that unexpectedly reopened for the first time in forty years in 2016, and determine why the polynya opened.
Lovisa Waldrop Bergman and Céline Heuzé
Ocean Sci. Discuss., https://doi.org/10.5194/os-2018-122, https://doi.org/10.5194/os-2018-122, 2018
Preprint withdrawn
Short summary
Short summary
How to force a model where no suitable observation exists? We here determine using MITgcm the relative influence of the choice of wind, initial hydrography, and sea ice cover on the resulting ocean circulation in Nares Strait, northwest Greenland. The input with the largest effect is the density gradient in the upper layer. We argue that it should be prioritised over high resolution wind for cost-effective simulations of the Arctic straits, crucial for modelling the Arctic freshwater export.
Céline Heuzé
Ocean Sci., 13, 609–622, https://doi.org/10.5194/os-13-609-2017, https://doi.org/10.5194/os-13-609-2017, 2017
Short summary
Short summary
Climate models are the best tool available to estimate the ocean’s response to climate change, notably sea level rise. To trust the models, we need to compare them to the real ocean in key areas. Here we do so in the North Atlantic, where deep waters form, and show that inaccurate location, extent and frequency of the formation impact the representation of the global ocean circulation and how much heat enters the Arctic. We also study the causes of the errors in order to improve future models.
Mathew A. Stiller-Reeve, Céline Heuzé, William T. Ball, Rachel H. White, Gabriele Messori, Karin van der Wiel, Iselin Medhaug, Annemarie H. Eckes, Amee O'Callaghan, Mike J. Newland, Sian R. Williams, Matthew Kasoar, Hella Elisa Wittmeier, and Valerie Kumer
Hydrol. Earth Syst. Sci., 20, 2965–2973, https://doi.org/10.5194/hess-20-2965-2016, https://doi.org/10.5194/hess-20-2965-2016, 2016
Short summary
Short summary
Scientific writing must improve and the key to long-term improvement of scientific writing lies with the early-career scientist (ECS). We introduce the ClimateSnack project, which aims to motivate ECSs to start writing groups around the world to improve their skills together. Writing groups offer many benefits but can be a challenge to keep going. Several ClimateSnack writing groups formed, and this paper examines why some of the groups flourished and others dissolved.
C. Heuzé, J. K. Ridley, D. Calvert, D. P. Stevens, and K. J. Heywood
Geosci. Model Dev., 8, 3119–3130, https://doi.org/10.5194/gmd-8-3119-2015, https://doi.org/10.5194/gmd-8-3119-2015, 2015
Short summary
Short summary
Most ocean models, including NEMO, have unrealistic Southern Ocean deep convection. That is, through extensive areas of the Southern Ocean, they exhibit convection from the surface of the ocean to the sea floor. We find this convection to be an issue as it impacts the whole ocean circulation, notably strengthening the Antarctic Circumpolar Current. Using sensitivity experiments, we show that counter-intuitively the vertical mixing needs to be enhanced to reduce this spurious convection.
Martin Mohrmann, Céline Heuzé, and Sebastiaan Swart
The Cryosphere Discuss., https://doi.org/10.5194/tc-2021-23, https://doi.org/10.5194/tc-2021-23, 2021
Preprint under review for TC
Short summary
Short summary
Polynyas are large open water areas within the sea ice. We developed a method to estimate their area, distribution, and frequency for the Southern Ocean in climate models and observations. All models have polynyas along the coast but few do so in the open ocean, in contrast to observations. We examine potential atmospheric and oceanic drivers of open water polynyas and discuss recently implemented schemes that may have improved some models’ polynya representation.
Amy Solomon, Céline Heuzé, Benjamin Rabe, Sheldon Bacon, Laurent Bertino, Patrick Heimbach, Jun Inoue, Doroteaciro Iovino, Ruth Mottram, Xiangdong Zhang, Yevgeny Aksenov, Ronan McAdam, An Nguyen, Roshin P. Raj, and Han Tang
Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-113, https://doi.org/10.5194/os-2020-113, 2020
Preprint under review for OS
Short summary
Short summary
Freshwater in the Arctic Ocean plays a critical role in the global climate system by impacting ocean circulations, stratification, mixing, and emergent regimes. In this review paper we assess how the Arctic freshwater budget in the 2010s has changed relative to the 2000s. Estimates from satellites and reanalyses show a stabilization in the 2010s due to an increased compensation between a freshening of the Beaufort Gyre and a reduction in freshwater in the Amerasian and Eurasian basins.
Céline Heuzé and Adriano Lemos
The Cryosphere Discuss., https://doi.org/10.5194/tc-2020-123, https://doi.org/10.5194/tc-2020-123, 2020
Revised manuscript under review for TC
Short summary
Short summary
For navigation or science planning, knowing when sea ice will open in advance is a prerequisite. Yet to date routine spaceborne microwave observations of sea ice are unable to do so. We here present the first method based on spaceborne infrared that can forecast an opening several days ahead. We develop it specifically for the Weddell Polynya, a large hole in the Antarctic winter ice cover that unexpectedly reopened for the first time in forty years in 2016, and determine why the polynya opened.
Lovisa Waldrop Bergman and Céline Heuzé
Ocean Sci. Discuss., https://doi.org/10.5194/os-2018-122, https://doi.org/10.5194/os-2018-122, 2018
Preprint withdrawn
Short summary
Short summary
How to force a model where no suitable observation exists? We here determine using MITgcm the relative influence of the choice of wind, initial hydrography, and sea ice cover on the resulting ocean circulation in Nares Strait, northwest Greenland. The input with the largest effect is the density gradient in the upper layer. We argue that it should be prioritised over high resolution wind for cost-effective simulations of the Arctic straits, crucial for modelling the Arctic freshwater export.
Céline Heuzé
Ocean Sci., 13, 609–622, https://doi.org/10.5194/os-13-609-2017, https://doi.org/10.5194/os-13-609-2017, 2017
Short summary
Short summary
Climate models are the best tool available to estimate the ocean’s response to climate change, notably sea level rise. To trust the models, we need to compare them to the real ocean in key areas. Here we do so in the North Atlantic, where deep waters form, and show that inaccurate location, extent and frequency of the formation impact the representation of the global ocean circulation and how much heat enters the Arctic. We also study the causes of the errors in order to improve future models.
Mathew A. Stiller-Reeve, Céline Heuzé, William T. Ball, Rachel H. White, Gabriele Messori, Karin van der Wiel, Iselin Medhaug, Annemarie H. Eckes, Amee O'Callaghan, Mike J. Newland, Sian R. Williams, Matthew Kasoar, Hella Elisa Wittmeier, and Valerie Kumer
Hydrol. Earth Syst. Sci., 20, 2965–2973, https://doi.org/10.5194/hess-20-2965-2016, https://doi.org/10.5194/hess-20-2965-2016, 2016
Short summary
Short summary
Scientific writing must improve and the key to long-term improvement of scientific writing lies with the early-career scientist (ECS). We introduce the ClimateSnack project, which aims to motivate ECSs to start writing groups around the world to improve their skills together. Writing groups offer many benefits but can be a challenge to keep going. Several ClimateSnack writing groups formed, and this paper examines why some of the groups flourished and others dissolved.
C. Heuzé, J. K. Ridley, D. Calvert, D. P. Stevens, and K. J. Heywood
Geosci. Model Dev., 8, 3119–3130, https://doi.org/10.5194/gmd-8-3119-2015, https://doi.org/10.5194/gmd-8-3119-2015, 2015
Short summary
Short summary
Most ocean models, including NEMO, have unrealistic Southern Ocean deep convection. That is, through extensive areas of the Southern Ocean, they exhibit convection from the surface of the ocean to the sea floor. We find this convection to be an issue as it impacts the whole ocean circulation, notably strengthening the Antarctic Circumpolar Current. Using sensitivity experiments, we show that counter-intuitively the vertical mixing needs to be enhanced to reduce this spurious convection.
Cited articles
Armour, K.: Energy budget constraints on climate sensitivity in light of
inconstant climate feedbacks, Nat. Clim. Change, 7, 331–335, https://doi.org/10.1038/nclimate3278, 2017. a
Årthun, M., Eldevik, T., and Smedsrud, L.: The Role of Atlantic Heat
Transport in Future Arctic Winter Sea Ice Loss, J. Climate, 32, 3327–3341, https://doi.org/10.1175/JCLI-D-18-0750.1, 2019. a
Ba, J., Keenlyside, N., Latif, M., Park, W., Ding, H., Lohmann, K., Mignot, J.,
Menary, M., Otterå, O., Wouters, B., and Salas y Melia, D.: A
multi-model comparison of Atlantic multidecadal variability, Clim.
Dynam., 43, https://doi.org/10.1007/s00382-014-2056-1, 2014. a
Beadling, R., Russell, J., Stouffer, R., Mazloff, M., Talley, L., Goodman, P.,
Sallée, J., Hewittd, H., Hyder, P., and Pandde, A.: Representation of
Southern Ocean properties across Coupled Model Intercomparison Project
generations: CMIP3 to CMIP6, J. Climate, EOR,
https://doi.org/10.1175/JCLI-D-19-0970.1, 2020. a, b, c, d, e, f
Behrens, E., Rickard, G., Morgenstern, O., Martin, T., Osprey, A., and Joshi, M.: Southern Ocean deep convection in global climate models: A driver for
variability of subpolar gyres and Drake Passage transport on decadal
timescales, J. Geophys. Res.-Oceans, 121, 3905–3925, https://doi.org/10.1002/2015JC011286, 2016. a
Briegleb, P., Danabasoglu, G., and Large, G.: An overflow parameterization for
the ocean component of the Community Climate System Model, https://doi.org/10.5065/D69K4863, 2010. a, b, c, d
Brodeau, L. and Koenigk, T.: Extinction of the northern oceanic deep
convection in an ensemble of climate model simulations of the 20th and 21st
centuries, Clim. Dynam., 46, 2863–2882, https://doi.org/10.1007/s00382-015-2736-5, 2016. a, b
Broecker, W. S.: The Glacial World According to Wally, Eldigio
Press, New York, 2 edn.,
1995. a
Cabré, A., Marinov, I., and Gnanadesikan, A.: Global atmospheric
teleconnections and multidecadal climate oscillations driven by Southern
Ocean convection, J. Climate, 30, 8107–8126, https://doi.org/10.1175/JCLI-D-16-0741.1,
2017. a, b
Campbell, E., Wilson, E., Moore, G., Riser, S., Brayton, C., Mazloff, M., and
Talley, L.: Antarctic offshore polynyas linked to Southern Hemisphere
climate anomalies, Nature, 570, 319–325, https://doi.org/10.1038/s41586-019-1294-0, 2019. a, b
Cao, J., Wang, B., Yang, Y.-M., Ma, L., Li, J., Sun, B., Bao, Y., He, J., Zhou, X., and Wu, L.: The NUIST Earth System Model (NESM) version 3: description and preliminary evaluation, Geosci. Model Dev., 11, 2975–2993, https://doi.org/10.5194/gmd-11-2975-2018, 2018. a
Chen, H., Morrison, A., Dufour, C., and Sarmiento, J.: Deciphering patterns
and drivers of heat and carbon storage in the Southern Ocean, Geophys. Res. Lett., 46, 3359–3367, https://doi.org/10.1029/2018GL080961, 2019. a
Counillon, F., Keenlyside, N., Bethke, I., Wang, Y., Billeau, S., Shen, M., and
Bentsen, M.: Flow-dependent assimilation of sea surface temperature in
isopycnal coordinates with the Norwegian Climate Prediction Model, Tellus A, 68, 32437, https://doi.org/10.3402/tellusa.v68.32437,
2016. a, b, c, d
Cox, P., Huntingford, C., and Williamson, M.: Emergent constraint on
equilibrium climate sensitivity from global temperature variability, Nature,
553, 319–322, https://doi.org/10.1038/nature25450, 2018. a
Danabasoglu, G., Lamarque, J., Bacmeister, J., Bailey, D. A., DuVivier, A. K.,
Edwards, J., and Emmons et al., L. K.: The community earth system model
version 2 (CESM2), J. Adv. Model. Earth Sy., 12, e2019MS001916, https://doi.org/10.1029/2019MS001916, 2020. a, b, c, d
Danek, C., Scholz, P., and Lohmann, G.: Effects of high resolution and spinup
time on modeled North Atlantic circulation, J. Phys. Oceanogr., 49, 1159–1181, https://doi.org/10.1175/JPO-D-18-0141.1, 2019. a, b, c, d
de Boyer Montégut, C., Madec, G., Fischer, A. S., Lazar, A., and
Iudicone, D.: Mixed layer depth over the global ocean: an examination of
profile data and a profile-based climatology, J. Geophys. Res., 109, C12003, https://doi.org/10.1029/2004JC002378, 2004. a, b, c
De Lavergne, C., Palter, J., Galbraith, E., Bernardello, R., and Marinov, I.: Cessation of deep convection in the open Southern Ocean under anthropogenic climate change, Nat. Clim. Change, 4, 278–282, https://doi.org/10.1038/nclimate2132, 2014. a, b, c
Drucker, R., Martin, S., and Kwok, R.: Sea ice production and export from
coastal polynyas in the Weddell and Ross Seas, Geophys. Res. Lett.,
38, L17502, https://doi.org/10.1029/2011GL048668, 2011. a
Duchez, A., Courtois, P., Harris, E., Josey, S., Kanzow, T., Marsh, R., Smeed, D., and Hirschi, J.: Potential for seasonal prediction of Atlantic sea
surface temperatures using the RAPID array at 26∘ N, Clim.
Dynam., 46, 3351–3370, https://doi.org/10.1007/s00382-015-2918-1, 2016. a
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016. a
GEBCO Compilation Group: GEBCO 2019 Grid, https://doi.org/10.5285/836f016a-33be-6ddc-e053-6c86abc0788e, 2019. a
Haase, S., Matthes, K., Latif, M., and Omrani, N.: The importance of a
properly represented stratosphere for northern hemisphere surface variability
in the atmosphere and the ocean, J. Climate, 31, 8481–8497, https://doi.org/10.1175/JCLI-D-17-0520.1, 2018. a, b, c
Hajima, T., Watanabe, M., Yamamoto, A., Tatebe, H., Noguchi, M. A., Abe, M., Ohgaito, R., Ito, A., Yamazaki, D., Okajima, H., Ito, A., Takata, K., Ogochi, K., Watanabe, S., and Kawamiya, M.: Development of the MIROC-ES2L Earth system model and the evaluation of biogeochemical processes and feedbacks, Geosci. Model Dev., 13, 2197–2244, https://doi.org/10.5194/gmd-13-2197-2020, 2020. a
Held, I., Guo, H., Adcroft, A., Dunne, J., Horowitz, L., Krasting, J.,
Shevliakova, E., Winton, M., Zhao, M., Bushuk, M., and Wittenberg, A.: Structure and performance of GFDL's CM4. 0 climate model, J. Adv. Model. Earth Sy., 11, 3691–3727, https://doi.org/10.1029/2019MS001829, 2019. a
Heuzé, C.: North Atlantic deep water formation and AMOC in CMIP5 models, Ocean Sci., 13, 609–622, https://doi.org/10.5194/os-13-609-2017, 2017. a, b, c
Heuzé, C. and Årthun, M.: The Atlantic inflow across the
Greenland-Scotland ridge in global climate models (CMIP5), Elem. Sci.
Anth., 7, 16, https://doi.org/10.1525/elementa.354, 2019. a, b
Holt, J., Hyder, P., Ashworth, M., Harle, J., Hewitt, H. T., Liu, H., New, A. L., Pickles, S., Porter, A., Popova, E., Allen, J. I., Siddorn, J., and Wood, R.: Prospects for improving the representation of coastal and shelf seas in global ocean models, Geosci. Model Dev., 10, 499–523, https://doi.org/10.5194/gmd-10-499-2017, 2017. a, b
Huussen, T., Naveira-Garabato, A., Bryden, H., and McDonagh, E.: Is the deep
Indian Ocean MOC sustained by breaking internal waves?, J. Geophys. Res., 117, C08024, https://doi.org/10.1029/2012JC008236, 2012. a, b
Jenkins, A.: The impact of melting ice on ocean waters, J. Phys. Oceanogr., 29, https://doi.org/10.1175/1520-0485(1999)029<2370:TIOMIO>2.0.CO;2,
1999. a
Killworth, P.: Deep convection in the world ocean, Rev. Geophys., 21, 1–26, https://doi.org/10.1029/RG021i001p00001, 1983. a, b, c, d
Koenigk, T., Fuentes-Franco, R., Meccia, V., Gutjahr, O., Jackson, L. C., New, A. L., Ortega, P., Roberts, C., Roberts, M., Arsouze, T., Iovino, D., Moine, M.-P., and Sein, D. V.: Deep water formation in the North Atlantic Ocean in high resolution global coupled climate models, Ocean Sci. Discuss., https://doi.org/10.5194/os-2020-41, 2020. a, b, c, d, e, f, g, h
Kuhlbrodt, T., Jones, C., Sellar, A., Storkey, D., Blockley, E., Stringer, M.,
Hill, R., Graham, T., Ridley, J., Blaker, A., and Calvert, D.: The
low resolution version of HadGEM3 GC3. 1: Development and evaluation for
global climate, J. Adv. Model. Earth Sy., 10, 2865–2888, https://doi.org/10.1029/2018MS001370, 2018. a
Lin, P., Yu, Z., Lü, J., Ding, M., Hu, A., and Liu, H.: Two regimes of
Atlantic multidecadal oscillation: cross-basin dependent or
Atlantic-intrinsic, Sci. Bull., 64, 198–204, https://doi.org/10.1016/j.scib.2018.12.027,
2019. a, b
Lique, C. and Thomas, M.: Latitudinal shift of the Atlantic Meridional
Overturning Circulation source regions under a warming climate, Nat. Clim.
Change, 8, 1013–1020, https://doi.org/10.1038/s41558-018-0316-5, 2018. a
Liu, W., Fedorov, A., and Sévellec, F.: The mechanisms of the Atlantic
meridional overturning circulation slowdown induced by Arctic sea ice
decline, J. Climate, 32, 977–996, https://doi.org/10.1175/JCLI-D-18-0231.1, 2019. a, b
Locarnini, R., Mishonov, A., Baranova, O., Boyer, T., Zweng, M., Garcia, H.,
Reagan, J., Seidov, D., Weathers, K., Paver, C., and Smolyar, I.:
Temperature, in: World Ocean Atlas 2018, Vol. 1, edited by: Mishonov, A., NOAA
Atlas NESDIS 81, 2018. a
Lozier, M., Li, F., Bacon, S., Bahr, F., Bower, A., Cunningham, S., De Jong, M., De Steur, L., Deyoung, B., Fischer, J., and Gary, S.: A sea change in
our view of overturning in the subpolar North Atlantic, Science, 363, 516–521, https://doi.org/10.1126/science.aau6592, 2019. a, b, c
Lumpkin, R. and Speer, K.: Global ocean meridional overturning, J. Phys. Oceanogr., 37, 2550–2562, https://doi.org/10.1175/JPO3130.1, 2007. a, b, c
Lurton, T., Balkanski, Y., Bastrikov, V., Bekki, S., Bopp, L., Braconnot, P.,
Brockmann, P., Cadule, P., Contoux, C., Cozic, A., and Cugnet, D.: Implementation of the CMIP6 Forcing Data in the IPSL CM6A LR Model,
J. Adv. Model. Earth Sy., 12, e2019MS001940, https://doi.org/10.1029/2019MS001940, 2020. a
Mauritsen, T., Bader, J., Becker, T., Behrens, J., Bittner, M., Brokopf, R.,
Brovkin, V., Claussen, M., Crueger, T., Esch, M., and Fast, I.: Developments
in the MPI M Earth System Model version 1.2 (MPI-ESM1. 2) and its
response to increasing CO2, J. Adv. Model. Earth Sy.,
11, 998–1038, https://doi.org/10.1029/2018MS001400, 2019. a, b
Meijers, A., Shuckburgh, E., Bruneau, N., Sallée, J., Bracegirdle, T., and
Wang, Z.: Representation of the Antarctic Circumpolar Current in the CMIP5
climate models and future changes under warming scenarios, J. Geophys. Res.-Oceans, 117, C12008, https://doi.org/10.1029/2012JC008412, 2012. a
Menary, M. and Wood, R.: An anatomy of the projected North Atlantic warming
hole in CMIP5 models, Clim. Dynam., 50, 3063–3080, https://doi.org/10.1007/s00382-017-3793-8,
2018. a, b
Menary, M., Hodson, D., Robson, J., Sutton, R., Wood, R., and Hunt, J.: Exploring the impact of CMIP5 model biases on the simulation of North
Atlantic decadal variability, Geophys. Res. Lett., 42, 5926–5934, https://doi.org/10.1002/2015GL064360, 2015. a, b
Menary, M., Robson, J., Allan, R., Booth, B., Cassou, C., Gastineau, G.,
Gregory, J., Hodson, D., Jones, C., Mignot, J., Ringer, M., Sutton, R.,
Wilcox, L., and Zhang, R.: Aerosol-forced AMOC changes in CMIP6 historical
simulations, Geophys. Res. Lett., 47, e2020GL088166, https://doi.org/10.1029/2020GL088166, 2020. a, b, c, d
Menviel, L., Spence, P., Skinner, L., Tachikawa, K., Friedrich, T., Missiaen, L., and Yu, J.: Enhanced Mid depth Southward Transport in the Northeast
Atlantic at the Last Glacial Maximum Despite a Weaker AMOC, Paleoceanography
and Paleoclimatologys, 35, e2019PA003793, https://doi.org/10.1029/2019PA003793, 2020. a
Müller, W., Jungclaus, J., Mauritsen, T., Baehr, J., Bittner, M., Budich, R., Bunzel, F., Esch, M., Ghosh, R., Haak, H., and Ilyina, T.: A
Higher resolution Version of the Max Planck Institute Earth System Model
(MPI-ESM1. 2 HR), J. Adv. Model. Earth Sy., 10, 1383–1413, https://doi.org/10.1029/2017MS001217, 2018. a
Notz, D., Jahn, A., Holland, M., Hunke, E., Massonnet, F., Stroeve, J., Tremblay, B., and Vancoppenolle, M.: The CMIP6 Sea-Ice Model Intercomparison Project (SIMIP): understanding sea ice through climate-model simulations, Geosci. Model Dev., 9, 3427–3446, https://doi.org/10.5194/gmd-9-3427-2016, 2016. a
Nowicki, S. M. J., Payne, A., Larour, E., Seroussi, H., Goelzer, H., Lipscomb, W., Gregory, J., Abe-Ouchi, A., and Shepherd, A.: Ice Sheet Model Intercomparison Project (ISMIP6) contribution to CMIP6, Geosci. Model Dev., 9, 4521–4545, https://doi.org/10.5194/gmd-9-4521-2016, 2016. a
Ohshima, K., Fukamachi, Y., Williams, G., Nihashi, S., Roquet, F., Kitade, Y.,
Tamura, T., Hirano, D., Herraiz-Borreguero, L., Field, I., and Hindell, M.: Antarctic Bottom Water production by intense sea-ice formation in the Cape
Darnley polynya, Nat. Geosci., 6, 235–240, https://doi.org/10.1038/ngeo1738, 2013. a
Orsi, A.: Recycling bottom waters, Nat. Geosci., 3, 307–309, https://doi.org/10.1038/ngeo854, 2010. a
Park, S., Shin, J., Kim, S., Oh, E., and Kim, Y.: Global climate simulated by
the seoul national university atmosphere model version 0 with a unified
convection scheme (sam0-unicon), J. Climate, 32, 2917–2949, https://doi.org/10.1175/JCLI-D-18-0796.1, 2019. a
Patara, L. and Böning, C.: Abyssal ocean warming around Antarctica
strengthens the Atlantic overturning circulation, Geophys. Res. Lett., 41, 3972–3978, https://doi.org/10.1002/2014GL059923, 2014. a, b
Roach, L., Dörr, J., Holmes, C., Massonnet, F., Blockley, E., Notz, D.,
Rackow, T., Raphael, M., O'Farrell, S., Bailey, D., and Bitz, C.: Antarctic sea ice area in CMIP6, Geophys. Res. Lett., 47, e2019GL086729, https://doi.org/10.1029/2019GL086729, 2020. a, b
Rong, X. Y., Li, J., and Chen, H. M.: Introduction of CAMS-CSM model and its
participation in CMIP6, Stud. Environ. Sci., 6, 540–544, https://doi.org/10.12006/j.issn.1673-1719.2019.186, 2019. a
Sallée, J., Shuckburgh, E., Bruneau, N., Meijers, A., Bracegirdle, T., and
Wang, Z.: Assessment of Southern Ocean mixed layer depths in CMIP5 models:
Historical bias and forcing response, J. Geophys. Res.-Oceans, https://doi.org/10.1002/jgrc.20157, 2013. a
Séférian, R., Nabat, P., Michou, M., Saint Martin, D., Voldoire, A., Colin, J., Decharme, B., Delire, C., Berthet, S., Chevallier, M., and
Sénési, S.: Evaluation of CNRM Earth System Model, CNRM ESM2 1:
Role of Earth System Processes in Present Day and Future Climate, J. Adv. Model. Earth Sy., 11, 4182–4227, https://doi.org/10.1029/2019MS001791, 2019. a
Sellar, A., Walton, J., Jones, C., Wood, R., Abraham, N., Andrejczuk, M.,
Andrews, M., Andrews, T., Archibald, A., de Mora, L., and Dyson, H.: Implementation of UK Earth system models for CMIP6, J. Adv. Model. Earth Sy., 12, e2019MS001946, https://doi.org/10.1029/2019MS001946, 2020. a
Shu, Q., Wang, Q., Song, Z., Qiao, F., Zhao, J., Chu, M., and Li, X.: Assessment of sea ice extent in CMIP6 with comparison to observations and
CMIP5, Geophys. Res. Lett., 47, e2020GL087965, https://doi.org/10.1029/2020GL087965, 2020. a, b, c
Snow, K., Hogg, A., Downes, S., Sloyan, B., Bates, M., and Griffies, S.: Sensitivity of abyssal water masses to overflow parameterisations, Ocean Model., 89, 84–103, https://doi.org/10.1016/j.ocemod.2015.03.004, 2015. a, b, c
Swart, N. C., Cole, J. N. S., Kharin, V. V., Lazare, M., Scinocca, J. F.,
Gillett, N. P., Anstey, J., Arora, V., Christian, J. R., Hanna, S., Jiao, Y.,
Lee, W. G., Majaess, F., Saenko, O. A., Seiler, C., Seinen, C., Shao, A.,
Sigmond, M., Solheim, L., von Salzen, K., Yang, D., and Winter, B.: The
Canadian Earth System Model version 5 (CanESM5.0.3), Geosci. Model Dev., 12,
4823–4873, https://doi.org/10.5194/gmd-12-4823-2019, 2019. a
Sweetman, A., Thurber, A., Smith, C., Levin, L., Mora, C., Wei, C., Gooday, A.,
Jones, D., Rex, M., Yasuhara, M., and Ingels, J.: Major impacts of climate
change on deep-sea benthic ecosystems, Elem. Sci. Anth.,
5, 4, https://doi.org/10.1525/elementa.203, 2017. a
Tatebe, H., Ogura, T., Nitta, T., Komuro, Y., Ogochi, K., Takemura, T., Sudo, K., Sekiguchi, M., Abe, M., Saito, F., Chikira, M., Watanabe, S., Mori, M., Hirota, N., Kawatani, Y., Mochizuki, T., Yoshimura, K., Takata, K., O'ishi, R., Yamazaki, D., Suzuki, T., Kurogi, M., Kataoka, T., Watanabe, M., and Kimoto, M.: Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6, Geosci. Model Dev., 12, 2727–2765, https://doi.org/10.5194/gmd-12-2727-2019, 2019. a, b
Taylor, K., Stouffer, R., and Meehl, G.: An overview of CMIP5 and the
experiment design, B. Am. Meteorol. Soc., 93, 485–498, https://doi.org/10.1175/BAMS-D-11-00094.1, 2012. a
Tjiputra, J. F., Schwinger, J., Bentsen, M., Morée, A. L., Gao, S., Bethke, I., Heinze, C., Goris, N., Gupta, A., He, Y.-C., Olivié, D., Seland, Ø., and Schulz, M.: Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2), Geosci. Model Dev., 13, 2393–2431, https://doi.org/10.5194/gmd-13-2393-2020, 2020. a, b
Våge, K., Pickart, R., Thierry, V., Reverdin, G., Lee, C., Petrie, B.,
Agnew, T., Wong, A., and Ribergaard, M.: Surprising return of deep
convection to the subpolar North Atlantic Ocean in winter 2007–2008,
Nat. Geosci., 2, 67–72, https://doi.org/10.1038/ngeo382, 2009. a
Voldoire, A., Saint Martin, D., Sénési, S., Decharme, B., Alias, A., Chevallier, M., and Colin et al., J.: Evaluation of CMIP6 DECK
Experiments With CNRM CM6 1, J. Adv. Model. Earth Sy., 11, 2177–2213, https://doi.org/10.1029/2019MS001683, 2019. a
Volodin, E. and Gritsun, A.: Simulation of observed climate changes in 1850–2014 with climate model INM-CM5, Earth Syst. Dynam., 9, 1235–1242, https://doi.org/10.5194/esd-9-1235-2018, 2018. a
Wang, Z., Wu, Y., Lin, X., Liu, C., and Xie, Z.: Impacts of open-ocean deep
convection in the Weddell Sea on coastal and bottom water temperature,
Clim. Dynam., 48, 2967–2981, https://doi.org/10.1007/s00382-016-3244-y, 2017.
a
Wu, T., Lu, Y., Fang, Y., Xin, X., Li, L., Li, W., Jie, W., Zhang, J., Liu, Y., Zhang, L., Zhang, F., Zhang, Y., Wu, F., Li, J., Chu, M., Wang, Z., Shi, X., Liu, X., Wei, M., Huang, A., Zhang, Y., and Liu, X.: The Beijing Climate Center Climate System Model (BCC-CSM): the main progress from CMIP5 to CMIP6 , Geosci. Model Dev., 12, 1573–1600, https://doi.org/10.5194/gmd-12-1573-2019, 2019. a, b
Yukimoto, S., Kawai, H., Koshiro, T., Oshima, N., Yoshida, K., Urakawa, S.,
Tsujino, H., Deushi, M., Tanaka, T., Hosaka, M., and Yabu, S.: The
Meteorological Research Institute Earth System Model version 2.0, MRI-ESM2.
0: Description and basic evaluation of the physical component, J.
Meteorol. Soc. Jpn., https://doi.org/10.2151/jmsj.2019-051, 2019. a
Zanna, L., Khatiwala, S., Gregory, J., Ison, J., and Heimbach, P.: Global
reconstruction of historical ocean heat storage and transport, P. Natl. Acad. Sci. USA, 116, 1126–1131, https://doi.org/10.1073/pnas.1808838115,
2019. a
Zanowski, H., Hallberg, R., and Sarmiento, J.: Abyssal ocean warming and
salinification after Weddell polynyas in the GFDL CM2G coupled climate
model, J. Phys. Oceanogr., 45, 2755–2772, https://doi.org/10.1175/JPO-D-15-0109.1,
2015. a, b, c
Zelinka, M., Myers, T., McCoy, D., Po Chedley, S., Caldwell, P., Ceppi, P., Klein, S., and Taylor, K.: Causes of higher climate sensitivity in CMIP6
models, Geophys. Res. Lett., 47, e2019GL085782, https://doi.org/10.1029/2019GL085782, 2020. a, b, c, d
Zickfeld, K., Solomon, S., and Gilford, D.: Centuries of thermal sea-level
rise due to anthropogenic emissions of short-lived greenhouse gases,
P. Natl. Acad. Sci. USA, 114, 657–662, https://doi.org/10.1073/pnas.1612066114, 2017. a
Ziehn, T., Lenton, A., Law, R. M., Matear, R. J., and Chamberlain, M. A.: The
carbon cycle in the Australian Community Climate and Earth System Simulator
(ACCESS-ESM1) – Part 2: Historical simulations, Geosci. Model Dev., 10, 2591–2614, https://doi.org/10.5194/gmd-10-2591-2017, 2017. a
Zweng, M., Reagan, J., Seidov, D., Boyer, T., Locarnini, R., Garcia, H.,
Mishonov, A., Baranova, O., Weathers, K., Paver, C., and Smolyar, I.:
Salinity, in: World
Ocean Atlas 2018, Vol. 2, edited by: Mishonov, A., NOAA Atlas
NESDIS 82, 2018. a
Short summary
Dense waters sinking by Antarctica and in the North Atlantic control global ocean currents and carbon storage. We need to know how these change with climate change, and thus we need accurate climate models. Here we show that dense water sinking in the latest models is better than in the previous ones, but there is still too much water sinking. This impacts how well models represent the deep ocean density and the deep currents globally. We also suggest ways to improve the models.
Dense waters sinking by Antarctica and in the North Atlantic control global ocean currents and...
