[en] Estimates for the recent period and projections of the Antarctic surface mass balance (SMB) often rely on high-resolution polar-oriented regional climate models (RCMs). However, RCMs require large-scale boundary forcing fields prescribed by reanalyses or general circulation models (GCMs). Since the recent variability of sea surface conditions (SSCs, namely sea ice concentration, SIC, and sea surface temperature, SST) over the Southern Ocean is not reproduced by most GCMs from the 5th phase of the Coupled Model Intercomparison Project (CMIP5), RCMs are then subject to potential biases. We investigate here the direct sensitivity of the Antarctic SMB to SSC perturbations around the Antarctic. With the RCM “Modèle Atmosphérique Régional” (MAR), different sensitivity experiments are performed over 1979–2015 by modifying the ERA-Interim SSCs with (i) homogeneous perturbations and (ii) mean anomalies estimated from all CMIP5 models and two extreme ones, while atmospheric lateral boundary conditions remained unchanged. Results show increased (decreased) precipitation due to perturbations inducing warmer, i.e. higher SST and lower SIC (colder, i.e. lower SST and higher SIC), SSCs than ERA-Interim, significantly affecting the SMB of coastal areas, as precipitation is mainly related to cyclones that do not penetrate far into the continent. At the continental scale, significant SMB anomalies (i.e greater than the interannual variability) are found for the largest combined SST/SIC perturbations. This is notably due to moisture anomalies above the ocean, reaching sufficiently high atmospheric levels to influence accumulation rates further inland. Sensitivity experiments with warmer SSCs based on the CMIP5 biases reveal integrated SMB anomalies (+5 % to +13 %) over the present climate (1979–2015) in the lower range of the SMB increase projected for the end of the 21st century.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Kittel, Christoph ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Amory, Charles ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Agosta, Cécile ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Delhasse, Alison ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Doutreloup, Sébastien ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Huot, Pierre-Vincent
Wyard, Coraline ; Université de Liège - ULiège > Département de géographie > Département de géographie
Fichefet, Thierry
Fettweis, Xavier ; Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Language :
English
Title :
Sensitivity of the current Antarctic surface mass balance to sea surface conditions using MAR
Publication date :
07 December 2018
Journal title :
The Cryosphere
ISSN :
1994-0416
eISSN :
1994-0424
Publisher :
Copernicus Group, Germany
Volume :
12
Pages :
3827–3839
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
Agosta, C., Favier, V., Genthon, C., Gallée, H., Krinner, G., Lenaerts, J. T. M., and van den Broeke, M. R.: A 40-year accumulation dataset for Adelie Land, Antarctica and its application for model validation, Clim. Dynam., 38, 75-86, https://doi.org/10.1007/s00382-011-1103-4, 2012.
Agosta, C., Fettweis, X., and Datta, R.: Evaluation of the CMIP5 models in the aim of regional modelling of the Antarctic surface mass balance, The Cryosphere, 9, 2311-2321, https://doi.org/10.5194/tc-9-2311-2015, 2015.
Agosta, C., Amory, C., Kittel, C., Orsi, A., Favier, V., Gallée, H., van den Broeke, M. R., Lenaerts, J. T. M., van Wessem, J. M., and Fettweis, X.: Estimation of the Antarctic surface mass balance using MAR (1979-2015) and identification of dominant processes, The Cryosphere Discuss., https://doi.org/10.5194/tc-2018-76, in review, 2018.
Amory, C., Trouvilliez, A., Gallée, H., Favier, V., Naaim-Bouvet, F., Genthon, C., Agosta, C., Piard, L., and Bellot, H.: Comparison between observed and simulated aeolian snow mass fluxes in Adélie Land, East Antarctica, The Cryosphere, 9, 1373-1383, https://doi.org/10.5194/tc-9-1373-2015, 2015.
Amory, C., Gallée, H., Naaim-Bouvet, F., Favier, V., Vignon, E., Picard, G., Trouvilliez, A., Piard, L., Genthon, C., and Bellot, H.: Seasonal Variations in Drag Coefficient over a Sastrugi-Covered Snowfield in Coastal East Antarctica, Bound.-Lay. Meteorol., 164, 107-133, https://doi.org/10.1007/s10546-017-0242-5, 2017.
Andreas, E. L.: A bulk air-sea flux algorithm for high-wind, spray conditions, version 2.0, in: Preprints, 13th Conference on Interactions of the Sea and Atmosphere, Portland, ME, 9-13 August 2004.
Bailey, D. A. and Lynch, A. H.: Development of an Antarctic Regional Climate System Model. Part I: Sea Ice and Large-Scale Circulation, J. Climate, 13, 1337-1350, 2000.
Beaumet, J., Krinner, G., Déqué, M., Haarsma, R., and Li, L.: Assessing bias-corrections of oceanic surface conditions for atmospheric models, Geosci. Model Dev. Discuss., ]doi10.5194/gmd-2017-247, in review, 2017.
Bentsen, M., Bethke, I., Debernard, J. B., Iversen, T., Kirkevåg, A., Seland, Ø., Drange, H., Roelandt, C., Seierstad, I. A., Hoose, C., and Kristj?nsson, J. E.: The Norwegian Earth System Model, NorESM1-M-Part 1: Description and basic evaluation of the physical climate, Geosci. Model Dev., 6, 687-720, https://doi.org/10.5194/gmd-6-687-2013, 2013.
Bevan, S. L., Luckman, A., Hubbard, B., Kulessa, B., Ashmore, D., Kuipers Munneke, P., O'Leary, M., Booth, A., Sevestre, H., and McGrath, D.: Centuries of intense surface melt on Larsen C Ice Shelf, The Cryosphere, 11, 2743-2753, https://doi.org/10.5194/tc-11-2743-2017, 2017.
Bracegirdle, T. J. and Marshall, G. J.: The Reliability of Antarctic Tropospheric Pressure and Temperature in the Latest Global Reanalyses, J. Climate, 25, 7138-7146, https://doi.org/10.1175/JCLI-D-11-00685.1, 2012.
Bromwich, D. H., Chen, B., and Hines, K. M.: Global atmospheric impacts induced by year-round open water adjacent to Antarctica, J. Geophys. Res., 103, 1173-1889, https://doi.org/10.1029/98JD00624, 1998.
Bromwich, D. H., Nicolas, J. P., and Monaghan, A. J.: An Assessment of Precipitation Changes over Antarctica and the Southern Ocean since 1989 in Contemporary Global Reanalyses, J. Climate, 24, 4189-4209, https://doi.org/10.1175/2011JCLI4074.1, 2011.
Brun, E., David, P., Subul, M., and Brunot, G.: A numerical model to simulate snow-cover stratigraphy for operational avalanche forescating, J. Glaciol., 38, 13-22, 1992.
Cavalieri, D. J. and Parkinson, C. L.: Arctic sea ice variability and trends, 1979-2010, The Cryosphere, 6, 881-889, https://doi.org/10.5194/tc-6-881-2012, 2012.
Dee, D. P., Uppala, S. M., Simmons, A. J., Berrisford, P., Poli, P., Kobayashi, S., Andrae, U., Balmaseda, M. A., Balsamo, G., Bauer, P., Bechtold, P., Beljaars, A. C. M., van de Berg, L., Bidlot, J., Bormann, N., Delsol, C., Dragani, R., Fuentes, M., Geer, A. J., Haimberger, L., Healy, S. B., Hersbach, H., Hólm, E. V., Isaksen, L., Kållberg, P., Köhler, M., Matricardi, M., Mcnally, A. P., Monge-Sanz, B. M., Morcrette, J. J., Park, B. K., Peubey, C., de Rosnay, P., Tavolato, C., Thépaut, J. N., and Vitart, F.: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system, Q. J. Roy. Meteor. Soc., 137, 553-597, https://doi.org/10.1002/qj.828, 2011.
De Ridder, K. and Gallée, H.: Land surface-induce regional climate change in Southern Israel, J. Appl. Meteorol., 37, 1470-1485, 1998.
De Ridder, K. and Schayes, G.: The IAGL Land Surface Model, J. Appl. Meteorol., 36, 167-182, https://doi.org/10.1086/451461, 1997.
Donlon, C. J., Martin, M., Stark, J., Roberts-jones, J., Fiedler, E., and Wimmer, W.: The Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system, Remote Sens. Environ., 116, 140-158, https://doi.org/10.1016/j.rse.2010.10.017, 2012.
Favier, V., Agosta, C., Parouty, S., Durand, G., Delaygue, G., Gallée, H., Drouet, A.-S., Trouvilliez, A., and Krinner, G.: An updated and quality controlled surface mass balance dataset for Antarctica, The Cryosphere, 7, 583-597, https://doi.org/10.5194/tc-7-583-2013, 2013.
Favier, V., Krinner, G., Amory, C., Gallée, H., Beaumet, J., and Agosta, C.: Antarctica-Regional Climate and Surface Mass Budget, Current Climate Change Reports, 3, 303-315, https://doi.org/10.1007/s40641-017-0072-z, 2017.
Fettweis, X., Box, J. E., Agosta, C., Amory, C., Kittel, C., Lang, C., van As, D., Machguth, H., and Gallée, H.: Reconstructions of the 1900-2015 Greenland ice sheet surface mass balance using the regional climate MAR model, The Cryosphere, 11, 1015-1033, https://doi.org/10.5194/tc-11-1015-2017, 2017.
Fiorino, M.: A multi-decadal daily sea surface temperature and sea ice concentration data set for the ERA-40 reanalysis, ECMWF, Reading, UK, ERA-40 Project Report Series No. 12, 1-22, 2004.
Franco, B., Fettweis, X., Lang, C., and Erpicum, M.: Impact of spatial resolution on the modelling of the Greenland ice sheet surface mass balance between 1990-2010, using the regional climate model MAR, The Cryosphere, 6, 695-711, https://doi.org/10.5194/tc-6-695-2012, 2012.
Fretwell, P., Pritchard, H. D., Vaughan, D. G., Bamber, J. L., Barrand, N. E., Bell, R., Bianchi, C., Bingham, R. G., Blankenship, D. D., Casassa, G., Catania, G., Callens, D., Conway, H., Cook, A. J., Corr, H. F. J., Damaske, D., Damm, V., Ferraccioli, F., Forsberg, R., Fujita, S., Gim, Y., Gogineni, P., Griggs, J. A., Hindmarsh, R. C. A., Holmlund, P., Holt, J. W., Jacobel, R. W., Jenkins, A., Jokat, W., Jordan, T., King, E. C., Kohler, J., Krabill, W., Riger-Kusk, M., Langley, K. A., Leitchenkov, G., Leuschen, C., Luyendyk, B. P., Matsuoka, K., Mouginot, J., Nitsche, F. O., Nogi, Y., Nost, O. A., Popov, S. V., Rignot, E., Rippin, D. M., Rivera, A., Roberts, J., Ross, N., Siegert, M. J., Smith, A. M., Steinhage, D., Studinger, M., Sun, B., Tinto, B. K., Welch, B. C., Wilson, D., Young, D. A., Xiangbin, C., and Zirizzotti, A.: Bedmap2: improved ice bed, surface and thickness datasets for Antarctica, The Cryosphere, 7, 375-393, https://doi.org/10.5194/tc-7-375-2013, 2013.
Frezzotti, M., Scarchilli, C., Becagli, S., Proposito, M., and Urbini, S.: A synthesis of the Antarctic surface mass balance during the last 800 yr, The Cryosphere, 7, 303-319, https://doi.org/10.5194/tc-7-303-2013, 2013.
Gallée, H.: Simulation of the Mesocyclonic Activity in the Ross Sea, Antarctica, Mon. Weather Rev., 123, 2051-2069, https://doi.org/10.1175/1520-0493(1995)1232051:SOTMAI2.0.CO;2, 1995.
Gallée, H.: Mesoscale Atmospheric Circulations over the Southwestern Ross Sea Sector, Antarctica, J. Appl. Meteorol., 35, 1129-1141, 1996.
Gallée, H. and Duynkerke, P. G.: Air-snow interactions and the surface energy and mass balance over the melting zone of west Greenland during the Greenland Ice Margin Experiment, J. Geophys. Res., 102, 13813-13824, https://doi.org/10.1029/96JD03358, 1997.
Gallée, H. and Schayes, G.: Development of a Three-Dimensional Meso-Primitive Equation Model: Katabatic Winds Simulation in the Area of Terra Nova Bay, Antarctica, Mon. Weather Rev., 122, 671-685, https://doi.org/10.1175/1520-0493(1994)1220671:DOATDM2.0.CO;2, 1994.
Gallée, H., Guyomarc'h, G., and Brun, E.: Impact of snow drift on the antarctic ice sheet surface mass balance: Possible sensitivity to snow-surface properties, Bound.-Lay. Meteorol., 99, 1-19, https://doi.org/10.1023/A:1018776422809, 2001.
Gallée, H., Preunkert, S., Argentini, S., Frey, M. M., Genthon, C., Jourdain, B., Pietroni, I., Casasanta, G., Barral, H., Vignon, E., Amory, C., and Legrand, M.: Characterization of the boundary layer at Dome C (East Antarctica) during the OPALE summer campaign, Atmos. Chem. Phys., 15, 6225-6236, https://doi.org/10.5194/acp-15-6225-2015, 2015.
Krinner, G., Guicherd, B., Ox, K., Genthon, C., and Magand, O.: Influence of oceanic boundary conditions in simulations of antarctic climate and surface mass balance change during the coming century, J. Climate, 21, 938-962, https://doi.org/10.1175/2007JCLI1690.1, 2008.
Krinner, G., Largeron, C., Ménégoz, M., Agosta, C., and Brutel-Vuilmet, C.: Oceanic forcing of Antarctic climate change: A study using a stretched-grid atmospheric general circulation model, J. Climate, 27, 5786-5800, https://doi.org/10.1175/JCLID-13-00367.1, 2014.
Lang, C., Fettweis, X., and Erpicum, M.: Stable climate and surface mass balance in Svalbard over 1979-2013 despite the Arctic warming, The Cryosphere, 9, 83-101, https://doi.org/10.5194/tc-9-83-2015, 2015.
Lefebre, F., Gallée, H., VanYpersele, J., and Greuell, W.: Modeling of snow and ice melt at ETH Camp (West Greenland): A study of surface albedo, J. Geophys. Res., 108, 4231, https://doi.org/10.1029/2001JD001160, 2003.
Lenaerts, J. T. M., Van Den Broeke, M. R., Van De Berg,W. J., Van Meijgaard, E., and Kuipers Munneke, P.: A new, high-resolution surface mass balance map of Antarctica (1979-2010) based on regional atmospheric climate modeling, Geophys. Res. Lett., 39, L04501, https://doi.org/10.1029/2011GL050713, 2012.
Li, L. and Pomeroy, J. W.: Estimates of threshold wind speeds for snow transport using meteorological data, J. Appl. Meteorol., 36, 205-213, https://doi.org/10.1175/1520-0450(1997)0360205:EOTWSF2.0.CO;2, 1997.
Ligtenberg, S. R. M., Rae, J. G. L., and Meijgaard, E. V.: Future surface mass balance of the Antarctic ice sheet and its influence on sea level change, simulated by a regional atmospheric climate model, Clim. Dynam., 41, 867-884, https://doi.org/10.1007/s00382-013-1749-1, 2013.
Mahlstein, I., Gent, P. R., and Solomon, S.: Historical Antarctic mean sea ice area, sea ice trends, and winds in CMIP5 simulations, J. Geophys. Res.-Atmos., 118, 5105-5110, https://doi.org/10.1002/jgrd.50443, 2013.
Massonnet, F., Mathiot, P., Fichefet, T., Goosse, H., König Beatty, C., Vancoppenolle, M., and Lavergne, T.: A model reconstruction of the Antarctic sea ice thickness and volume changes over 1980-2008 using data assimilation, Ocean Model., 64, 67-75, https://doi.org/10.1016/j.ocemod.2013.01.003, 2013.
Messager, C., Gallée, H., and Brasseur, O.: Precipitation sensitivity to regional SST in a regional climate simulation during the West African monsoon for two dry years, Clim. Dynam., 22, 249-266, https://doi.org/10.1007/s00382-003-0381-x, 2004.
Noël, B., Fettweis, X., van de Berg, W. J., van den Broeke, M. R., and Erpicum, M.: Sensitivity of Greenland Ice Sheet surface mass balance to perturbations in sea surface temperature and sea ice cover: a study with the regional climate model MAR, The Cryosphere, 8, 1871-1883, https://doi.org/10.5194/tc-8-1871-2014, 2014.
Noone, D. and Simmonds, I.: Sea ice control of water isotope transport to Antarctica and implications for ice core interpretation, J. Geophys. Res., 109, D07105, https://doi.org/10.1029/2003JD004228, 2004.
Parkinson, C. L. and Cavalieri, D. J.: Antarctic sea ice variability and trends, 1979-2010, The Cryosphere, 6, 871-880, https://doi.org/10.5194/tc-6-871-2012, 2012.
Roach, L. A., Dean, S. M., and Renwick, J. A.: Consistent biases in Antarctic sea ice concentration simulated by climate models, The Cryosphere, 12, 365-383, https://doi.org/10.5194/tc-12-365-2018, 2018.
Schmidt, G. A., Kelley, M., Nazarenko, L., Ruedy, R., Russell, G. L., Aleinov, I., Bauer, M., Bauer, S. E., Bhat, M. K., Bleck, R., Canuto, V., Chen, Y.-H., Cheng, Y., Clune, T. L., Del Genio, A., de Fainchtein, R., Faluvegi, G., Hansen, J. E., Healy, R. J., Kiang, N. Y., Koch, D., Lacis, A. A., LeGrande, A. N., Lerner, J., Lo, K. K., Matthews, E. E., Menon, S., Miller, R. L., Oinas, V., Oloso, A. O., Perlwitz, J. P.. Puma, M. J., Putman, W. M., Rind, D., Romanou, A., Sato, M., Shindell, D. T., Sun, S., Syed, R. A., Tausnev, N., Tsigaridis, K., Unger, N., Voulgarakis, A., Yao, M.-S., and Zhang, J.: Configuration and assessment of the GISS ModelE2 contributions to the CMIP5 archive, J. Adv. Model. Earth Sy., 6, 141-184, 2014.
Shu, Q., Song, Z., and Qiao, F.: Assessment of sea ice simulations in the CMIP5 models, The Cryosphere, 9, 399-409, https://doi.org/10.5194/tc-9-399-2015, 2015.
Simmonds, I. and Budd, W. F.: Sensitivity of the southern hemisphere circulation to leads in the Antarctic pack ice, Q. J. Roy. Meteor. Soc., 117, 1003-1024, https://doi.org/10.1002/qj.49711750107, 1991.
Simmonds, I. and Jacka, T.: Relationships between the interannual variability of Antarctic sea ice and the southern oscillation, J. Climate, 8, 637-647, 1995.
Simmonds, I. and Wu, X.: Cyclone behaviour response to changes in winter southern hemisphere sea-ice concentration, Q. J. Roy. Meteor. Soc., 119, 1121-1148, https://doi.org/10.1002/qj.49711951313, 1993.
Sodemann, H. and Stohl, A.: Asymmetries in the moisture origin of Antarctic precipitation, Geophys. Res. Lett., 36, L22803, https://doi.org/10.1029/2009GL040242, 2009.
Stark, J. D., Donlon, C. J., Martin, M. J., and McCulloch, M. E.: OSTIA: An operational, high resolution, real time, global sea surface temperature analysis system, in: Oceans 2007-Europe, Aberdeen, UK, 18-21 June 2007, IEEE, 1-4, https://doi.org/10.1109/OCEANSE.2007.4302251, 2007.
Taylor, K. E., Stouffer, R. J., and Meehl, G. A.: An overview of CMIP5 and theexperiment design, B. Am. Meteorol. Soc., 93, 485-498, 2012.
Turner, J., Bracegirdle, T. J., Phillips, T., Marshall, G. J., and Scott Hosking, J.: An initial assessment of antarctic sea ice extent in the CMIP5 models, J. Climate, 26, 1473-1484, https://doi.org/10.1175/JCLI-D-12-00068.1, 2013.
Turner, J., Scott Hosking, J., Marshall, G. J., Phillips, T., and Bracegirdle, T. J.: Antarctic sea ice increase consistent with intrinsic variability of the Amundsen sea low, Clim. Dynam., 46, 2391-2402, https://doi.org/10.1007/s00382-015-2708-9, 2016.
Uppala, S. M., Kållberg, P. W., Simmons, A. J., Andrae, U., Bechtold, V. D. C., Fiorino, M., Gibson, J. K., Haseler, J., Hernandez, A., Kelly, G. A., Li, X., Onogi, K., Saarinen, S., Sokka, N., Allan, R. P., Andersson, E., Arpe, K., Balmaseda, M. A., Beljaars, A. C. M., Berg, L. V. D., Bidlot, J., Bormann, N., Caires, S., Chevallier, F., Dethof, A., Dragosavac, M., Fisher, M., Fuentes, M., Hagemann, S., Hólm, E., Hoskins, B. J., Isaksen, L., Janssen, P. A. E. M., Jenne, R., Mcnally, A. P., Mahfouf, J.-F., Morcrette, J.-J., Rayner, N. A., Saunders, R. W., Simon, P., Sterl, A., Trenberth, K. E., Untch, A., Vasiljevic, D., Viterbo, P., and Woollen, J.: The ERA-40 re-analysis, Q. J. Roy. Meteor. Soc., 131, 2961-3012, https://doi.org/10.1256/qj.04.176, 2005.
van de Berg, W. J. and Medley, B.: Brief Communication: Upper-air relaxation in RACMO2 significantly improves modelled interannual surface mass balance variability in Antarctica, The Cryosphere, 10, 459-463, https://doi.org/10.5194/tc-10-459-2016, 2016.
Van Lipzig, N. P. M., Van Meijgaard, E., and Oerlemans, J.: Temperature sensitivity of the Antarctic surface mass balance in a regional atmospheric climate model, J. Climate, 15, 2758-2774, https://doi.org/10.1175/1520-0442(2002)0152758:TSOTAS2.0.CO;2, 2002.
vanWessem, J. M., van de Berg,W. J., Noël, B. P. Y., van Meijgaard, E., Amory, C., Birnbaum, G., Jakobs, C. L., Krüger, K., Lenaerts, J. T. M., Lhermitte, S., Ligtenberg, S. R. M., Medley, B., Reijmer, C. H., van Tricht, K., Trusel, L. D., van Ulft, L. H., Wouters, B., Wuite, J., and van den Broeke, M. R.: Modelling the climate and surface mass balance of polar ice sheets using RACMO2-Part 2: Antarctica (1979-2016), The Cryosphere, 12, 1479-1498, https://doi.org/10.5194/tc-12-1479-2018, 2018.
Wang, Y.: An Explicit Simulation of Tropical Cyclones with a Triply Nested Movable Mesh Primitive Equation Model: TCM3. Part I: Model Description and Control Experiment, Mon. Weather Rev., 1129, 1370-1394, https://doi.org/10.1175/1520-0493(2002)1303022:AESOTC2.0.CO;2, 2001.
Weatherly, J.: Sensitivity of Antarctic Precipitation to Sea Ice Concentrations in a General Circulation Model, J. Climate, 17, 3214-3223, 2004.
Wu, X. G., Simmonds, I., and Budd, W. F.: Southern hemisphere climate system recovery from 'instantaneous' sea-ice removal, Q. J. Roy. Meteor. Soc., 122, 1501-1520, 1996.