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Global atmospheric responses to Antarctic forcing

Published online by Cambridge University Press:  20 January 2017

David H. Bromwich
Affiliation:
Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, OH 43210, U.S. A.Atmospheric Sciences Program, Department of Geography, The Ohio State University, Columbus, OH 43210, U.S.A.
Biao Chen
Affiliation:
Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, OH 43210, U.S. A.
Keith M. Hines
Affiliation:
Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, OH 43210, U.S. A.
Richard I. Cullather
Affiliation:
Polar Meteorology Group, Byrd Polar Research Center, The Ohio State University, Columbus, OH 43210, U.S. A.
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Abstract

To evaluate the greatest impact that sea-ice anomalies around Antarctica could have on the global atmosphere, 15 year seasonal cycle simulations are conducted with the U.S. National Center for Atmospheric Research Community Climate Model version 2.1. Sensitivity simulations are performed with the following conditions: (1) all sea ice in the Southern Hemisphere is replaced by year-round open water, but the permanent ice shelves are retained (NSIS); and (2) all sea ice in the Southern Hemisphere and the major ice shelves are removed and replaced by open water (NISH). The results are compared to a standard run (CNT) with boundary conditions set for the present climate. The comparison shows that trains of positive and negative anomalies in zonal-mean fields extend into the tropical latitudes of the Northern Hemisphere. Anomalies are largest during April-October. The additional removal of the ice shelves in NISH enhances the response, as zonally averaged anomalies are similar in pattern to those in NSIS but are roughly twice as large poleward of 50° S, and only slightly larger farther north. Anomalies in the eddy fields are found in both hemispheres. in NISH, and to a lesser degree in NSIS. these anomalies appear to be related to a delayed northern advance over China during June of the rain front associated with the summer monsoon. Consequently, precipitation is enhanced in middle and southern China and decreased in northern China. Observational analyses have also found links between Antarctic sea-ice variations and modulations of the East Asian monsoon.

Information

Type
Research Article
Copyright
Copyright © International Glaciological Society 1998
Figure 0

Fig. 1.July surface sensible heal fluxfor (a) CNT, (b) the deference between NSIS and CNT, and (c) the difference between NISH and CNT for 90-45° S. Contour interval is 20 Wm in−2 (a) and 40 Wm−2 in (h) and (c). Hatching in (b) and (c) denotes statistical significance at the 95% confidence level.

Figure 1

Fig. 2.July sea-level pressure for (a) CNT, and the difference in surface pressure (b) between NSIS and CNT, and (c) between NISH and CNT for 90-30° S. Contour interval is 5hPa in (a) and IhPa in (bj and (c).

Figure 2

Fig. 3.Zonally averaged vertical cross-section of zonal wind averaged for June, July and August for (a) CNT, (b) the difference between NSIS and CNT, and (c) the difference between NISH and CNT. Contour interval is 5ms −1 in (a) and 0.5 m −1 in (b) and (c).

Figure 3

Fig. 4.Same as Figure 3 except for the meridional mass flux. Contour interval is 0.2 × 103 ton s −1 in (a) and 0.2 × 107 ton s −1 in (b) and (c).

Figure 4

Fig. 5.Regional plot off une precipitation for (a) CNT, (b) the difference between NSIS and CNT, and (c) the difference between NISH and CNT. Contour interval is 10 cm in (a) and 5 cm in (b) and (c).

Figure 5

Fig. 6.Same as Figure 5 except for (a) sea-level pressure and (b) the difference in surface pressure between NISH and CNT. Contour interval is 3kPa in (a) and 0.5hPa in (b).