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Glacier-climate interaction at low latitudes

Published online by Cambridge University Press:  08 September 2017

Georg Kaser*
Affiliation:
Institut für Geographie, Universität Innsbruck, Innrain 52, A-6020 Innsbruck, Austria
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Abstract

In the low latitudes there is an absence of major thermal seasonality, yet there are three different climate regimes related to global circulation patterns and their seasonal oscillation: the humid inner tropics, the dry subtropics and, intermediate between these two, the outer tropics. For the respective glacier regimes the vertical profiles of specific mass balance (VBPs) are modeled considering vertical gradients of accumulation, air temperature and albedo, the duration of the ablation period and a factor for the ratio between melting and sublimation. The model is first calibrated with data from Hintereisferner, Austrian Alps, and is then applied to tropical conditions. The simulated VBP matches well the measured profiles from Irian jaya and Mount Kenya. Due to lack of field evidence, the subtropical VBP cannot be verified directly. However, application of the respective model versions separately to the humid and dry seasons of the outer-tropical Glaciar Uruashraju, Cordillera Blanca, Peru, provides reasonable results. Glaciers in the humid inner tropics are considered to be most sensitive to variations in air temperature, while dry subtropical glaciers are most sensitive to changes in air humidity. The two seasons of the outer tropics have to be viewed from these different perspectives.

Information

Type
Research Article
Copyright
Copyright © International Glaciological Society 2001
Figure 0

Fig 1. The tropics and their delimitations from a glaciological point of view, and the distribution of glacier areas by country (after Kaser and others, 1996a). The circles are centered on the respective country with the exception that all East African glaciers are represented by a single circle. The bold dashed lines show the boundaries of the seasonal oscillation of the ITCZ.

Figure 1

Fig. 2. A VBP calculatedfrom climatic data for Hintereisferner (bold line). Above the reference altitude, zref, the profile is influenced only by the accumulation gradient, whereas below zref it is affected by both ablation and accumulation gradients. Note that zref is at the 0°C level of the ablation period which, on Hintereisferner, is above the EL. The measured profile from the 1966/67 balanced budget year (thin line with symbols) is fit to the calculated profile by a parallel displacement along the coordinate axes.

Figure 2

Table 1. Variables and constants for the calculation of the mass-balance altitude profile in the mid-latitudes (Fig 2)

Figure 3

Table 2. Relative effects on Δb ofa10% change in the variable in column 1, expressed as a percentage of the calculated value of Δb

Figure 4

Fig. 3. Modelled (bold line) and measured (thin lines with symbols) VBPs of tropical glaciers. The measured profilesfor Meren and Carstensz Glaciers, Irianjaya (IJ) and Lewis Glacier, Mount Kenya (MK), are fit to the calculated profile by parallel displacements along the coordinate axes. (MK+) is the VBP for the positive balance year 1988/89 , and (MK−) the VBP for the negative balance year 1986/87 . Mote that zref is at the 0°C level which is, on inner-tropical glaciers, above the EL.

Figure 5

Fig. 4. Modelled VBPs for mid-latitude, subtropical and inner-tropical glacier regimes. Note that zref is at the 0°C level for the mid-latitude and inner-tropical glaciers but is at the EL for the subtropical glaciers.

Figure 6

Fig. 5. VBPs, measured at Glaciar Uruashraju, and comparison with the modelled inner-tropical and subtropical profiles (bottom) for each season. Circles indicate the profiles in the 1982/83 El Niño year. Note that zref is at the 0°C level for the humid season and is at the EL for the dry season. For detailed discussion see text.

Figure 7

Table 3. The change in ELA (m) caused by given individual perturbations, which act alone

Figure 8

Table 4. Percentage of the modelled shift of the EL due to a 10% uncertainty of each input variable for different model runs. Note that the uncertainty off is 10% of its entire range