Density assumptions for converting geodetic glacier volume change to mass change

Huss, Matthias

doi:10.5194/tc-7-877-2013

Cited by 534 publications

(461 citation statements)

References 47 publications

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“…The uncertainty of the conversion factor from volume to mass (σ CONV ) was 60 kg m −3 (Huss, 2013). As these two main sources of uncertainty (σ dh and σ CONV ) were independent, the uncertainty of MB σ MB was calculated as:…”

Section: Glacier-wide Mb From the Geodetic Methodsmentioning

confidence: 99%

“…Therefore, we used a hypsometry of the glacier, which was derived from the 2013 DEM and manual extension of the contours to weigh the elevation differences retrieved for each 10 m elevation band, thus following a standard hypsometric approach (Paul and others, 2015). We assumed a conversion factor from volume to mass (ρ CONV ) of 850 kg m −3 (Huss, 2013).…”

Section: Glacier-wide Mb From the Geodetic Methodsmentioning

confidence: 99%

“…a −1 (considering 850 kg m −3 as the density assumption suggested by Huss (2013) and 6.06 years as the exact time interval between 1 November 2009 and 22 November 2015). This geodetic MB for 2009-15 is in good agreement with the field-based MB (−1.11 ± 0.20 vs −1.24 ± 0.27 m w.e.…”

Section: Geodetic Mb Of Changri Nup Glaciermentioning

confidence: 99%

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Contrasted surface mass balances of debris-free glaciers observed between the southern and the inner parts of the Everest region (2007–15)

et al. 2017

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ABSTRACT. Three debris-free glaciers with strongly differing annual glaciological glacier-wide mass balances (MBs) are monitored in the Everest region (central Himalaya, Nepal). The mass budget of Mera Glacier (5.1 km 2 in 2012), located in the southern part of this region, was balanced during 2007-15, whereas Pokalde (0.1 km 2 in 2011) and West Changri Nup glaciers (0.9 km 2 in 2013), ∼30 km further north, have been losing mass rapidly with annual glacier-wide MBs of −0.69 ± 0.28 m w.e. a −1 (2009-15) and −1.24 ± 0.27 m w.e. a −1 (2010-15), respectively. An analysis of high-elevation meteorological variables reveals that these glaciers are sensitive to precipitation, and to occasional severe cyclonic storms originating from the Bay of Bengal. We observe a negative horizontal gradient of annual precipitation in south-to-north direction across the range (≤−21 mm km −1 , i.e. −2% km −1 ). This contrasted mass-balance pattern over rather short distances is related (i) to the low maximum elevation of Pokalde and West Changri Nup glaciers, resulting in years where their accumulation area ratio is reduced to zero and (ii) to a steeper vertical gradient of MB for glaciers located in the inner arid part of the range.

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Section: Glacier-wide Mb From the Geodetic Methodsmentioning

confidence: 99%

Section: Glacier-wide Mb From the Geodetic Methodsmentioning

confidence: 99%

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Contrasted surface mass balances of debris-free glaciers observed between the southern and the inner parts of the Everest region (2007–15)

et al. 2017

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“…In general, multi-annual time periods are needed to reach an acceptable level of accuracy . The most important uncertainties are due to (i) density conversion (Huss, 2013), (ii) elevation biases and errors in the co-registration of the two DEMs (Berthier et al, 2006;Paul, 2008;Nuth and Kääb, 2011), (iii) data gaps, Bolch and Buchroithner, 2008), and (iv) errors and artefacts in the DEMs.…”

Section: Geodetic Mass Balancementioning

confidence: 99%

Re-establishing glacier monitoring in Kyrgyzstan and Uzbekistan, Central Asia

Hoelzle

Azisov

Barandun

et al. 2017

Geosci. Instrum. Method. Data Syst.

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Abstract. Glacier mass loss is among the clearest indicators of atmospheric warming. The observation of these changes is one of the major objectives of the international climate monitoring strategy developed by the Global Climate Observing System (GCOS). Long-term glacier mass balance measurements are furthermore the basis for calibrating and validating models simulating future runoff of glacierised catchments. This is essential for Central Asia, which is one of the driest continental regions of the Northern Hemisphere. In the highly populated regions, water shortage due to decreased glacierisation potentially leads to pronounced political instability, drastic ecological changes and endangered food security. As a consequence of the collapse of the former Soviet Union, however, many valuable glacier monitoring sites in the Tien Shan and Pamir Mountains were abandoned. In recent years, multinational actors have re-established a set of important in situ measuring sites to continue the invaluable long-term data series. This paper introduces the applied monitoring strategy for selected glaciers in the Kyrgyz and Uzbek Tien Shan and Pamir, highlights the existing and the new measurements on these glaciers, and presents an example for how the old and new data can be combined to establish multi-decadal mass balance time series. This is crucial for understanding the impact of climate change on glaciers in this region.

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“…For surge-type glaciers, the volume changes are usually calculated separately ( others, 2012a, 2013). A glacier average density of 850 ± 60 kg m −3 has been used to convert the volume change into mass budget (Huss, 2013). In addition, in order to present the mass balance of integral years, we performed seasonal corrections.…”

Section: Glacier Mass-balance Calculation and Accuracy Assessmentmentioning

confidence: 99%

Slight glacier mass loss in the Karakoram region during the 1970s to 2000 revealed by KH-9 images and SRTM DEM

Zhou

2017

J. Glaciol.

100

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ABSTRACT. An anomalously slight glacier mass gain during 2000 to the 2010s has recently been reported in the Karakoram region. However, to date, no investigations of the region-wide glacier mass balance in the Karakoram prior to 2000 have been reported, leaving a knowledge gap for assessing glacier responses to climate change. We calculated elevation and mass change using DEMs generated from KH-9 images acquired during 1973-1980 and the 1 arc-second SRTM DEM. We find a slight mass loss of −0.09 ± 0.03 m w.e. a −1 (12 366 km 2 ) for 1973-2000, which is less negative than the global average rate for 1971-2009 (−0.31 ± 0.19 m w.e. a −1 ). Within the Karakoram, the glacier change patterns are spatially and temporally heterogeneous. In particular, a nearly stable state in the central Karakoram (−0.04 ± 0.05 m w.e. a −1 during the period implies that the Karakoram anomaly dates back to the 1970s. Combined with the previous studies, we conclude that the Karakoram glaciers as a whole were in a nearly balanced state during the 1970s to the 2010s.

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Density assumptions for converting geodetic glacier volume change to mass change

Cited by 534 publications

References 47 publications

Contrasted surface mass balances of debris-free glaciers observed between the southern and the inner parts of the Everest region (2007–15)

Contrasted surface mass balances of debris-free glaciers observed between the southern and the inner parts of the Everest region (2007–15)

Re-establishing glacier monitoring in Kyrgyzstan and Uzbekistan, Central Asia

Slight glacier mass loss in the Karakoram region during the 1970s to 2000 revealed by KH-9 images and SRTM DEM

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