Mass-balance reconstruction for Glacier No. 354, Tien Shan, from 2003 to 2014

Kronenberg, Marlene; Barandun, Martina; Hoelzle, Martin; Huss, Matthias; Farinotti, Daniel; Azisov, Erlan; Usubaliev, Ryskul; Gafurov, Abror; Petrakov, Dmitry; Kääb, Andreas

doi:10.3189/2016aog71a032

Cited by 65 publications

(78 citation statements)

References 53 publications

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“…Kronenberg et al [26] found mass changes for Bordu South Glacier (No. 354) of −0.43 ± 0.09 m·w.e.a −1 from 2003 to 2012, which are higher than our calculated mass budgets from 1964-1980 (−0.3 ± 0.1 m·w.e.a −1 ).…”

Section: Mass Budgetmentioning

confidence: 99%

“…The normalised median absolute deviation (NMAD) is a rather conservative approach also mentioned by Kronenberg et al [26], which resulted in higher uncertainty values. For the sake of comparison, we did the entire uncertainty calculation for both approaches.…”

Section: Data Limitationsmentioning

confidence: 99%

“…Furthermore, previous studies investigated glacier mass budgets [5,10,26] and allow evaluation of our results generated using declassified data only. Additionally, short-term glacier changes are studied to investigate surge-type characteristics and elevation change patterns not detectable in long-term studies considering several decades.…”

Section: Introductionmentioning

confidence: 99%

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Glacier Mass Loss during the 1960s and 1970s in the Ak-Shirak Range (Kyrgyzstan) from Multiple Stereoscopic Corona and Hexagon Imagery

et al. 2017

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Abstract:Comprehensive research on glacier changes in the Tian Shan is available for the current decade; however, there is limited information about glacier investigations of previous decades and especially before the mid 1970s. The earliest stereo images from the Corona missions were acquired in the 1960s but existing studies dealing with these images focus on single glaciers or small areas only. We developed a workflow to generate digital terrain models (DTMs) and orthophotos from 1964 Corona KH-4 for an entire mountain range (Ak-Shirak) located in the Central Tian Shan. From these DTMs and orthoimages, we calculated geodetic mass balances and length changes in comparison to 1973 and 1980 Hexagon KH-9 data. We found mass budgets between −0.4 ± 0.1 m·w.e.a −1 (1964)(1965)(1966)(1967)(1968)(1969)(1970)(1971)(1972)(1973)(1974)(1975)(1976)(1977)(1978)(1979)(1980) and −0.9 ± 0.4 m·w.e.a −1 (1973)(1974)(1975)(1976)(1977)(1978)(1979)(1980) for the whole region and individual glaciers. The length changes, on the other hand, vary heterogeneously between +624 ± 18 m (+39.0 ± 1.1 m·a −1 ) and −923 ± 18 m (−57.7 ± 1.1 m·a −1 ) for [1964][1965][1966][1967][1968][1969][1970][1971][1972][1973][1974][1975][1976][1977][1978][1979][1980]. An automation of the processing line can successively lead to region-wide Corona data processing allowing the analysis and interpretation of glacier changes on a larger scale and supporting a refinement of glacier modelling.

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Section: Mass Budgetmentioning

confidence: 99%

Section: Data Limitationsmentioning

confidence: 99%

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Glacier Mass Loss during the 1960s and 1970s in the Ak-Shirak Range (Kyrgyzstan) from Multiple Stereoscopic Corona and Hexagon Imagery

et al. 2017

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“…For this reason we clearly flag all results related to modeling and provide full methodical transparency in order to enable possible data users to decide whether the data suit their purpose or not. The applied model was run in its point configuration as the purpose of this study is not to use a model for the spatial extrapolation of point measurements on the glacier-wide scale as done in a number of other studies Barandun et al, 2015;Kronenberg et al, 2016;Sold et al, 2016) but is rather to reproduce a best possible estimate of annual balance values for point locations where ablation stakes were placed in the subsequent years. In this configuration, the model performance can be validated directly using data from available stake measurements.…”

Section: Point Mass Balance Modelingmentioning

confidence: 99%

“…Mass balance models have been used to extrapolate point measurements to the glacier scale (e.g., Huss et al, , 2013Sold et al, 2016), to homogenize annual or seasonal mass balance with respect to the fixed date method or to investigate the impact of changing glacier area and hypsometry on values of mean specific mass balance (Paul, 2010;Huss et al, 2012). Extensive accumulation measurements (e.g., Sold et al, 2016) provide detailed information on the intractable problem of spatial variability of snow accumulation while additional optical imagery gives information on the evolving snow cover (e.g., Huss et al, 2013;Barandun et al, 2015;Kronenberg et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Reanalysis of a 10-year record (2004–2013) of seasonal mass balances at Langenferner/Vedretta Lunga, Ortler Alps, Italy

et al. 2017

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Abstract. Records of glacier mass balance represent important data in climate science and their uncertainties affect calculations of sea level rise and other societally relevant environmental projections. In order to reduce and quantify uncertainties in mass balance series obtained by direct glaciological measurements, we present a detailed reanalysis workflow which was applied to the 10-year record (2004 to 2013) of seasonal mass balance of Langenferner, a small glacier in the European Eastern Alps. The approach involves a methodological homogenization of available point values and the creation of pseudo-observations of point mass balance for years and locations without measurements by the application of a process-based model constrained by snow line observations. We examine the uncertainties related to the extrapolation of point data using a variety of methods and consequently present a more rigorous uncertainty assessment than is usually reported in the literature.Results reveal that the reanalyzed balance record considerably differs from the original one mainly for the first half of the observation period. For annual balances these misfits reach the order of > 300 kg m −2 and could primarily be attributed to a lack of measurements in the upper glacier part and to the use of outdated glacier outlines. For winter balances respective differences are smaller (up to 233 kg m −2 ) and they originate primarily from methodological inhomogeneities in the original series. Remaining random uncertainties in the reanalyzed series are mainly determined by the extrapolation of point data to the glacier scale and are on the order of ±79 kg m −2 for annual and ±52 kg m −2 for winter balances with values for single years/seasons reaching ±136 kg m −2 . A comparison of the glaciological results to those obtained by the geodetic method for the period 2005 to 2013 based on airborne laser-scanning data reveals that no significant bias of the reanalyzed record is detectable.

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