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Sensitivity experiments to sea surface temperatures, sea-ice extent and ice-sheet reconstruction, for the Last Glacial Maximum

Published online by Cambridge University Press:  20 January 2017

G. Ramstein
Affiliation:
Laboratoire de Modélisation du Climat et de l’Environnement CEN Saclay, Bat. 709, Gif-sur-Yvette 91191, France
S. Joussaume
Affiliation:
Laboratoire de Modélisation du Climat et de l’Environnement and LODYC, CNRS/Université P. & M. Curie/ORSTOM, Paris, France
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Abstract

For the Last Glacial Maximum, (LGM; 21 000 BP), simulations using atmospheric general-circulation models (AGCMs) are very sensitive to the prescribed boundary conditions. Most of the recent numerical experiments have used the CLIMAP (1981) data set for ice-sheet topography, sea-ice extent and sea surface temperatures (SSTs). To demonstrate the impact of ice-sheet reconstruction on the LGM climate, we performed two simulations: one using CLIMAP (1981) ice-sheet topography, the other using the new reconstruction provided by Peltier. We show that, although the geographical structure of the annually averaged temperature is not modified, there are important seasonal and regional impacts on the temperature distribution. In a second step, to analyze the effects of cooler SSTs and sea-ice extent, we performed a simulation using CLIMAP (1981) for the ice-sheet topography, but with present SSTs. We find that the cooling due to ice sheets for the LGM climate is one-third of the global annually averaged cooling, and dial the southward shift of the North Atlantic low in winter is not due to sea-ice extent, but is an orographic effect due to the Laurenride ice sheet. This set of sensitivity experiments allows us also to discriminate between thermal and orographic forcings and to show the impact of the ice-sheet topography and cooler SSTs on the pattern of planetary waves during the LGM climate.

Type
Research Article
Copyright
Copyright © International Glaciological Society 1995

1. Introduction

Atmospheric general-circulation models (AGCMs) are important tools for reconstructing past atmospheric circulations and studying the physical mechanisms of climate change. To investigate the role of the different components (or boundary conditions) of the Last Glacial Maximum (LGM) climate, we performed a set of four numerical experiments, using the Laboratoire de Météorologic Dynamique (LMD) AGCM. Many simulations have been done with different AGCMs to quantify the effect of boundary conditions on the global temperature decrease during the LGM. For example, Reference Broccoli and Manabe.Broccoli and Manabe (1987), using an AGCM coupled with a slab ocean model, emphasized the role of low CO2 partial pressure, especially for the Southern Hemisphere, while Reference Rind.Rind (1987) showed the impact of snow feed-back and of the topography of the ice sheets.

Our approach focuses on the role of two major boundary conditions:

Some sensitivity experiments with SST and ISR have already been performed. Reference Rind.Rind (1987) studied the impact of CLIMAP (1981) LGM SSTs under present climatic conditions, and Reference Rind. and Peteet.Rind and Peteet (1985) made a sensitivity experiment uniformly lowering the CLIMAP (1981) LGM SST by 2°C to improve the consistency of low-latitude temperatures deduced from data and from models; but there is still no study of present-climate SST impart on LGM dynamics.

On the other hand, Reference Shinn and Barron.Shinn and Barron (1989) have studied the sensitivity of the LGM climate to extreme continental ice-sheet size and configuration. In their experiment, the differences between maximum and minimum ice sheets are huge in comparison with our simulation; yet some interesting comparisons, especially about the splitting of the polar jet due to the Laurentide ice sheet, can be made. Moreover, the fact that all the modellers involved in the Paleoclimate Modeling Intercomparison Project (personal communication from S. Joussaume and K. Taylor, 1994) will use the new ice-sheet reconstruction provided by Reference PeltierPeltier (1994) reinforces interest in whether changing the ISR has an important impact on the LGM climate.

2. Model and Simulation Description

All the simulations were performed with the LMD version 4 AGCM (Reference Le Treut and Laval.Le Treut and Li, 1991) which is a grid-point model. We used the low-resolution version, corresponding to 48 points regularly spaced in longitude and 36 points regularly spaced in sine of latitude. At the equator, the grid spacing is 830 km of longitude × 270 km of latitude, and at 45° of latitude it corresponds to 590 km longitude × 530 km latitude. The model has 11 levels in normalized pressure coordinate (σ). The model solves the dynamic and thermodynamic equations, and the continuity equation for mass and water vapour (Reference Sadourny., Laval., Berger and NicolisSadourny and Laval, 1984). The predicted clouds are considered for the radiative-transfer calculations (Reference Le Treut, Laval., Berger and NicotisLe Treut and Laval, 1984). Each experiment includes the full seasonal cycle and lasts 6 years; averages are made over the last 5 years.

The first of the four simulations (EXP1) is the control run which simulates the present climate. The second (EXP2) is a simulation of the LGM using the CLIMAP (1981) data set for SST and ISR. The third (EXP3) is a sensitivity experiment with the ice-sheet topography in which we replaced the CLIMAP (1981) reconstruction by the new reconstruction provided by Reference PeltierPeltier (1994); all the other boundary conditions are identical to EXP2. The fourth simulation (EXP4) is a sensitivity experiment with SST in which the CLIMAP (1981) reconstructed SST for the Last Glacial Maximum has been replaced by the present climate SST of the control run, with all the other boundary conditions remaining identical to EXP2 (Table 1).

Table 1. Main Parameter differences for the set of numerical experiments

Comparing EXP3 and EXP2 will give us the sensitivity of the LGM climate to the differences in ice-sheet reconstruction. Comparing EXP4 and EXP1 which both have the same prescribed SST will give us the impact of the ice-sheet topography. Finally, comparing EXP4 and EXP2, which both have the same CLIMAP (1981) ISR, will give us the SST impact on the LGM climate.

3. Changes In Boundary Conditions

3.1 Ice-sheet reconstruction

A major difference between present and LGM climate is the huge ice sheets covering northwestern Europe (Fennoseandia) and the northern part of North America (Laurentide). The shape and size of these ice sheets have an important impact on the atmospheric dynamics over the Northern Hemisphere during the LGM. Reference Denton and Hughes.Demon and Hughes (1981) provided for CLIMAP two reconstructions referenced as MIN and MAX, corresponding to a eustatic sea-level rise of 127 and 163 m, respectively. Reference PeltierPeltier (1994) shows that even the MIN reconstruction was excessive, and proposes a new reconstruction based on a gravitatinnally self-consistent theory of relative sea-level changes which corresponds to a eustatic sea-level rise of 105 m, and to a 55% reduction of the ice volume in comparison with the CLIMAP MAX reconstruction, Figure 1a and b show the change in elevation between the LGM and the present climate for the CLIMAP and Peltier reconstructions. The extent of ice sheets is not very different, but the elevation is 1500 m higher over Laurentide and about 1000 m higher over Fennoscandia in the CLIMAP reconstruction. The lower sea-level rise in Peltier’s reconstruction, compared with CLIMAP, leads to a reduction of the emerged lands. We take this into account and use different sea/land masks for the two simulations.

Fig. 1. Differences in elevation (in m) between the present (EXP1) and the LGM, using (a) CLIMAP (1981) for LGM ice-sheet topography (EXP2), (b) Reference PeltierPeltier (1994) for LGM ice-sheet topography (EXP3). Dark grey corresponds In elevation differences of more than 2000 m, medium grey to elevation differences of more than 1000 m, light grey to the emerged lands at the LGM. Isolines for 1500 and 500 m are also drawn

3.2 Sea surface temperatures

Most of the recent simulations of the LGM climate, performed with AGCMs and prescribed SST’s, have used the reconstruction of the sea-ice extent and of the sea surface temperatures, for summer and winter seasons, provided by CLIMAP (1981). These data are still controversial, e.g. in the tropical area (Reference Webster, Alley and Streten.Webster and Streten, 1978; Rind and Peteet, 1985), but no global revision of LGM SST is yet available, and we use CLIMAP (1981) to reconstruct daily evolution of SST and sea-ice extent.

The SST differences between the LGM and the present climate are about −4° to −6°C for Southern and Northern Hemisphere mid-latitudes, and reach about −10°C for the North Atlantic, during winter. The cooling over tropical areas is reduced to −1° or −2°C, with large areas of the Pacific Ocean where temperatures even increase slightly (+1° to 2°C).

Because of the Bering Strait, the difference in sea-ice extent between the LGM and the present climate is small in high latitudes for the North Pacific, but there is a huge equatorward shift of the sea-ice extent from 70° to 50° latitude for the North Atlantic and Southern Hemisphere. The seasonality of the sea ice is weakened during the LGM, and the sea-ice extent is only slightly reduced during the summer season.

4. Discussion

4.1 Orographical impact of the ice sheet for the LGM climate

As with most of the AGCMs’ simulations of the LGM (Rind, 1987; Reference Joussaume.Joussaume, 1993), the main features are reproduced in EXP2 and EXP3: shift of the storm tracks southward of the ice sheet, deepening of the North Pacific low and southward shift of the North Atlantic low, and splitting of the jet around the Laurentide ice sheet. Comparison of EXP4 and EXP1, which both have the same present SSTs and sea-ice extent, displays the impact of the orographical forcing of the ice sheets. In EXP4, there is no enhancement of the Aleutian low (not shown), thus proving that this enhancement, during the LGM, is mostly due to changes in SSTs. In contrast, the southward shift of the Atlantic low is observed in EXP2, EXP3 and EXP4; it is clearly related to the presence of the Laurentide ice sheet.

In Figure 2a (EXP4 minus EXP1), we illustrate the effect of orographical forcing on the geopotential height at 500 hPa, for the winter season. The impact of the orographical forcing is rather local, leading to anticyclonic circulation westward of the ice caps, in agreement with Reference Held, Hoskins and PearceHeld (1983) and Reference Cook and Held.Cook and Held (1988). These major changes in atmospheric circulation are also dependent on the size and configuration of the ice sheet, as illustrated in next paragraph.

Fig. 2. Geopotential height (in m) at 500 hPa differences for December, January and February (a) between EXP4 and EXP1, (b) between EXP2 and EXP3, and (c) between EXP2 and EXP4. In (a) and (b) dark grey is used for differences higher than 200 m, light grey for differences higher than 100 m; isolines are drawn for differences equal to 50 and 150 m. In (c) dark grey is used for differences lower than −200 m, light grey for differences lower than −100 m; isolines are drawn for differences equal to −50 and −150m

4.2 Sensitivity to Different Ice-Sheet Reconstructions for the LGM Climate

The comparison between EXP2 and EXP3 reveals the changes in LGM atmospheric circulation due to the differences in ice-sheet reconstructions. Although the globally and annually averaged cooling is identical for the two LGM simulations (ΔT = −3.3°C) and the geographical structure of the annual mean cooling is also very similar, there are important differences in the seasonal cycles. In Figure 3a, we depict the temperature differences between EXP2 and EXP1 for the summer season. A warmer region appears clearly in EXP2 and extends southward of Fennoscandia, from the northeastern Mediterranean coast to central Russia. This warming is severely damped in EXP3, as shown in Figure 3b, which demonstrates that this warming is very sensitive to the Fennoscandian reconstruction. This broad warmer region still exists in EXP4, as shown in Figure 3c, which proves that it is not induced by the CL1MAP SSTs. The warming obtained using the CLIMAP ISR corresponds to an increase in temperature of +3° to 5°C, contradicting the data synthesis provided by Reference Peterson, Webb, Kutzbach., van der Hammen, Wijmstra and Street.Peterson and others (1979) and more recently by Reference Webb and WrightWebb and others (1993). These data are in better agreement with the results obtained with the Reference PeltierPeltier (1994) reconstruction. In the winter season, the same phenomenon is observed over Alaska westward of the Laurentide (not shown). In both cases, the differences in temperature patterns demonstrate the impact of the ice-sheet reconstructions on the mid-latitude atmospheric dynamics. We now illustrate this feature with the winter circulation.

Fig. 3. Air temperature differences (°C) for June, July and August (a) between EXP2 and EXP1, (b) between EXP3 and EXP1, (c) between EXP4 and EXP1. Dark grey is used for temperature differences higher than 3μC, light grey for temperature differences higher than 1°C. Isolines are drawn for T = 2°C and 4°C.

Figure 2b shows the difference of geopotential height at 500 hPa, in winter, between EXP2 and EXP3. Isocontours indicate changes in the mean flow. The warming over Alaska cannot be a direct orographical effect: there is no difference in ice-sheet elevation over Alaska between the two reconstructions. The higher elevation of the Laurentide in EXP2 intensifies the planetary waves and heat transport, leading to an increase in temperature and geopotential height. As mentioned in the previous paragraph, the higher elevation of the CLIMAP ISR induces an enhancement of the anticyclonic circulation westward of the ice sheet. The wind at 850 hPa during winter (not shown) confirms the enhanced deepening of the Aleutian low, leading to greater transport of warmer air from the North Pacific to Alaska for CLIMAP ISR (EXP2), which explains the development of a warmer region over Alaska in winter.

Another way to illustrate the impact of ice-sheet elevation on winter atmospheric circulation for the LGM is the splitting of the jet. As Reference Kutzbach and Wright.Kutzbach and Wright (1985) noted, this splitting is a function of ice-cap size and distribution. In this sensitivity experiment, the ice-cap configuration modifies the structure of the splitting. We find, for the simulation using CLIMAP ice-sheet reconstruction (EXP2), the same results described by COHMAP (Reference AndersonAnderson and others, 1988): a splitting of the jet with a northern branch at the edge of the ice cap and a southern branch on the southern part of North America (Fig. 4a). With Peltier reconstruction (EXP3), we find the same intensity but a more zonal circulation for the northern branch of the jet (Fig. 4b). Because of the lower elevation of the Laurentide, the westerlies are strengthened over the ice cap, as shown in Figure 4c, corresponding to the wind-speed differences between EXP2 and EXP3. The impact of the ice-sheet topography is, in our case, weaker than in Reference Shinn and Barron.Shinn and Barren’s (1989) extreme-sensitivity experiment, for which they found a more defined structure of the splitting using their maximum reconstruction.

Fig. 4. a. Wind speed at 200 hPa for EXP2 in December,January and February. b.The same for EXP3. c.Differences in wind speed between a and b.

4.3 Change in SST for the LGM

Comparing EXP2 and EXP4, we can analyze the effect of the change of SSTs on the LGM climate. The global annually averaged cooling reaches only 1.1°C in EXP4, implying that the ice sheet is responsible for 33% of the global cooling during the LGM. The difference of geopotential height at 500 hPa between EXP2 and EXP4 for the winter season, shown in Figure 2c, demonstrates the extensive thermal forcing due to the SST variations. A strong trough develops over the cold North Atlantic, covered by sea ice, as a result of the decrease of the surface heat fluxes. However, the major difference in winter sea-ice extent between the LGM and the present climate is not responsible for the southward shift of the Atlantic low which is very similar in both simulations.

5. Conclusions

The approach developed in this paper allows a better understanding of the orographical and thermal forcings. These sensitivity experiments show the impact of ice-sheet orography and SSTs with emphasis on the effect of different ice-sheet reconstructions on the LGM climate. We find that the temperatures simulated for Peltier reconstruction do not show the important warmer regions for the LGM that many other models found using CLIMAP (1981) reconstruction (Rind, 1987), and which contradicted to data. We also show that the deepening of the Aleutian low is due to the LGM SSTs but that the southward shift of the Atlantic low is due to the circulation induced by the Laurentide. Finally, we illustrate the different contributions of SST and ISR on the pattern of planetary waves over the Northern Hemisphere during the LGM.

Acknowledgements

We gratefully acknowledge the Laboratoire de Météorologie Dynamique (CNRS, Paris, France) for providing us with the version 4 of their GCM, Dr Peltier for providing the new ice-sheet reconstruction, M. Doutriattx (LMD) for participating in the simulations and J.Y. Peterschmitt (LMCE) for the graphic outputs.

References

Anderson, P.M. and 32 othes. Climatic changes of the last 18,000 years: observations and model simulations. Science, 241(4869), 1043-1052.Google Scholar
Broccoli, A.J. and Manabe., S. 1987. The influence of continental ice, atmospheric Co2, and land albedo on the climate of the last glacial maximum. Climate Dyn., 1(2), 87-99.Google Scholar
Cook, K.H. and Held., I.M. 1988. Stationary waves of the ice age climate. J. Climate., 1(8), 807-819.2.0.CO;2>CrossRefGoogle Scholar
Denton, G.H. and Hughes., T.J. eds. 1981. The last great ice sheets. New York, etc., John Wiley and Sons.Google Scholar
Held, I.M. 1983. Stationary and quasi stationary eddies in the extratropical troposphere: theory. In Hoskins, D.J. and Pearce, R.P. eds. Large scale dynamical processes in the atmosphere. London, Academic Press, 127-159.Google Scholar
Joussaume., S. 1993. Paleoclimatic tracers: an investigation using atmospheric general circulation model under ice age conditions I. Desert dust. J. Geophys. Res., 98(D2), 2767-2805.Google Scholar
Kutzbach, J.E. and Wright., U. K. 1985. Simulation of the climate of 18,000 years BP: results fur the North American/North Atlantic/European sector and comparison with the geologic record of North America, Quat. Sci. Rev., 4(3), 147-187.CrossRefGoogle Scholar
Le Treut, H. and Laval., K. 1984. The importance of cloud radiation interaction for the simulation of climate, In Berger, A. and Nicotis, C. eds. New perspectives in climate modelling. Amsterdam, Elsevier, 199-221.Google Scholar
Le Treut, H. and Laval., K. 1991. Sensitivity of an atmospheric general circulation model to prescribed SST changes: feedback effect associated with the simulation of cloud optical properties. Climate Dyn., 5, 171-185.Google Scholar
McIntyre., A. and Cline, R. eds. 1981. Seasonal reconstruction of the Earth’s surface at the last glacial maximum. Boulder, CO, Geological Society of America. (Map and Chart Series MC-36.).Google Scholar
Peltier, R.W. 1994. Ice age paleotopography. Science, 265(5169), 195-201.CrossRefGoogle ScholarPubMed
Peterson, G.M., Webb, T. III, Kutzbach., J.E. van der Hammen, T. Wijmstra, T.A. and Street., F.A. 1979. The continental record of environmental conditions at 18,000 yr BP: an initial evaluation. Qual. Res., 12(1), 47-82.Google Scholar
Rind., D. 1987. Components of the ice age circulation. J. Geophys. Res., 92(D4), 4241-4281.Google Scholar
Rind., D. and Peteet., D. 1985. Terrestrial conditions at the last glacial maximum and CLIMAP sea surface temperature estimates: are they consistent? Qual. Res., 24(1), 1-22.Google Scholar
Sadourny., R. and Laval., K. 1984. January and July performance of the LMD general circulation model. In Berger, A. and Nicolis, C. eds. New perspectives in climate modelling. Amsterdam, Elsevier, 173-198.Google Scholar
Shinn, R.A. and Barron., E.J. 1989. Climate sensitivity to continental ice sheet size and configuration, J. Am. Meteorol. Soc., 2(12), 1517-1537.Google Scholar
Webb, W. III, and 7 othes. 1993 Climate change during the past 18,000 years: regional syntheses, mechanisms, and causes. In Wright, H.E. Jr., ed. Global climates since the last glacial maximum. Minneapolis, MN, University of Minnesota Press, 514-536.Google Scholar
Webster, P.J. and Alley, R. B. Streten., N.A. 1978. Late Quaternary ice age climates of tropical Australasia: interpretations and reconstructions. Qual. Res., 10(3), 279-309.Google Scholar
Figure 0

Table 1. Main Parameter differences for the set of numerical experiments

Figure 1

Fig. 1. Differences in elevation (in m) between the present (EXP1) and the LGM, using (a) CLIMAP (1981) for LGM ice-sheet topography (EXP2), (b) Peltier (1994) for LGM ice-sheet topography (EXP3). Dark grey corresponds In elevation differences of more than 2000 m, medium grey to elevation differences of more than 1000 m, light grey to the emerged lands at the LGM. Isolines for 1500 and 500 m are also drawn

Figure 2

Fig. 2. Geopotential height (in m) at 500 hPa differences for December, January and February (a) between EXP4 and EXP1, (b) between EXP2 and EXP3, and (c) between EXP2 and EXP4. In (a) and (b) dark grey is used for differences higher than 200 m, light grey for differences higher than 100 m; isolines are drawn for differences equal to 50 and 150 m. In (c) dark grey is used for differences lower than −200 m, light grey for differences lower than −100 m; isolines are drawn for differences equal to −50 and −150m

Figure 3

Fig. 3. Air temperature differences (°C) for June, July and August (a) between EXP2 and EXP1, (b) between EXP3 and EXP1, (c) between EXP4 and EXP1. Dark grey is used for temperature differences higher than 3μC, light grey for temperature differences higher than 1°C. Isolines are drawn for T = 2°C and 4°C.

Figure 4

Fig. 4. a. Wind speed at 200 hPa for EXP2 in December,January and February. b.The same for EXP3. c.Differences in wind speed between a and b.