Massive Ice Loss from the Mauna Loa Icecave, Hawaii

Pflitsch, Andreas; Schörghofer, N.; Smith, Stephen M.; Holmgren, David

doi:10.1657/aaar0014-095

Cited by 16 publications

(7 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Scallops formed in rocks are usually related to flowing water (Gunn, 2004;Lauritzen, 1981). In ice they also develop under the influence of airflow (Pflitsch et al, 2016). Their positions all over the walls and the ceiling of the glacier cave clearly show the development of the scallops just by airflow, which underlines the importance of atmospheric climate studies inside glaciers.…”

Section: Introductionmentioning

confidence: 76%

Climatologic studies inside Sandy Glacier at Mount Hood Volcano in Oregon, USA

Pflitsch¹,

Cartaya²,

McGregor³

et al. 2017

JCKS

Self Cite

View full text Add to dashboard Cite

Previous investigations of climatic conditions of glaciers primarily focused on the glacier's surface or on the moulin as the entrance to the glacier's interior. Many glaciers, however, contain far-reaching cave systems inside the ice that have been understood and investigated as drainage systems for meltwater. Until now, there have been no comprehensive climate studies inside a glacier cave. Thus, the climatic conditions, as well as their effects on the glacier, are unknown. The first climatologic investigations inside the cave system of Sandy Glacier on Mt. Hood in Oregon (USA) in June 2015 have shown that both thermic activity of the volcanic subsurface and chimney effects between the glacier snout at the base of the glacier and higher opening of the moulin can cause drastic melting inside the glacier. Those processes lead to considerably stronger melting from the inside than observations at the surface suggest and can cause an unexpected collapse over a distance of several hundred meters. We will present and assess the first measuring results of both the thermic and flow conditions inside Sandy Glacier.

show abstract

Section: Introductionmentioning

confidence: 76%

Climatologic studies inside Sandy Glacier at Mount Hood Volcano in Oregon, USA

Pflitsch¹,

Cartaya²,

McGregor³

et al. 2017

JCKS

Self Cite

View full text Add to dashboard Cite

show abstract

“…The ice cave was surveyed by a terrestrial laser scanner VZ-1000 by Riegl to acquire 3-D representation of its surface in ultra-high resolution. The scanner operates with a laser beam in the near-infrared wavelength (1550 nm) with nominal precision of ±8 mm at a distance of 100 m and maximum scanning range up to 1400 m. It uses online processing of the full waveform enabling multi-target scanning and it improves reliability of surveying in fog, dust, and precipitation (Pfennigbauer et al, 2014). The minimum scanning distance of the scanner is 1.5 m. The device dimensions are 0.3 m × 0.2 m × 0.2 m and the weight including batteries is 10 kg (Riegl, 2015).…”

Section: Methodsmentioning

confidence: 99%

“…Assessment of photographic material has been the most widely used method for monitoring the extent of the ice and its change (Fuhrmann, 2007). The other methods comprise markers distributed and attached on the ice floor and/or cave walls (Pflitsch et al, 2016), geodetic surveying (Gašinec et al, 2014), absolute dating (Luetscher et al, 2007), and drilling (May et al, 2011). Comprehensive monitoring programmes of detecting dynamics of the cave ice accumulations are rare, but some examples can be listed, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…The suitability of using the TLS method for mapping ice is supported by many works related to monitoring of glaciers and ice (Bauer et al, 2003;Avian and Bauer, 2006;Gašinec et al, 2012;Gabbud et al, 2015;Fischer et al, 2016;Xu et al, 2019). A plethora of research papers evaluated snowdepth change with various strategies in mutual spatial registration of time series with reference points (Jörg et al, 2006;Kaasalainen et al, 2008;Prokop, 2008;Deems et al, 2013). Avian et al (2018) also addressed the issue of generation of time series with TLS in the glacier monitoring.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Detecting dynamics of cave floor ice with selective cloud-to-cloud approach

et al. 2019

View full text Add to dashboard Cite

Abstract. Ice caves can be considered an indicator of the long-term changes in the landscape. Ice volume is dynamic in the caves throughout the year, but the inter-seasonal comparison of ice dynamics might indicate change in the hydrological–climatic regime of the landscape. However, evaluating cave ice volume changes is a challenging task that requires continuous monitoring based on detailed mapping. Today, laser scanning technology is used for cryomorphology mapping to record the status of the ice with ultra-high resolution. Point clouds from individual scanning campaigns need to be localised in a unified coordinate system as a time series to evaluate the dynamics of cave ice. Here we present a selective cloud-to-cloud approach that addresses the issue of registration of single-scan missions into the unified coordinate system. We present the results of monitoring ice dynamics in the Silická ľadnica cave situated in Slovak Karst, which started in summer of 2016. The results show that the change of ice volume during the year is continuous and we can observe repeated processes of degradation and ice formation in the cave. The presented analysis of the inter-seasonal dynamics of the ice volume demonstrates that there has been a significant decrement of ice in the monitored period. However, further long-term observations are necessary to clarify the mechanisms behind this change.

show abstract

“…Assessment of photographic material has been the most widely used for monitoring the extent of the ice and its change (Fuhrmann, 2007). The other methods comprise markers distributed and attached on the ice floor and/or cave walls (Pflitsch et al, 2016), geodetic surveying (Gašinec et al, 2014), absolute dating (Luetscher et al, 2007) and drilling (May et al, 2011). Complex monitoring programs of detecting cave ice accumulations dynamics has been built in caves sporadically (Kern and Perșoiu, 2013).…”

Section: Introductionmentioning

confidence: 99%

Detecting of Cave Floor Ice Dynamics based on Selective Cloud-to-Cloud Approach

Šupinský

Kaňuk

Hochmuth

et al. 2019

Preprint

View full text Add to dashboard Cite

Abstract. Ice caves can be considered as an indicator of the long-term changes in the landscape. Dynamics in ice volume in the caves are common throughout the year, but the inter-seasonal comparison of ice dynamics indicates a change in the hydrological-climatic regime of the landscape. However, evaluating cave ice volume changes is a challenging task that requires continuous monitoring based on detailed mapping. Nowadays, laser scanning technology is used for cryomorphology mapping to record a status of the ice at an ultra-high resolution. In order to evaluate the dynamics of cave ice, it is necessary to place individual measurements in an unified coordinate system. In the presented paper, we propose a selective cloud-to-cloud approach that addresses the issue of registration of single scan missions into unified coordinate system. We present the results of the ice dynamics monitoring in the Silická ľadnica cave situated in the Slovak Karst, which started in summer of 2016. Based on the results we can conclude that the change in ice volume during the year is continuous and we can observe repeated processes of degradation and ice formation in the cave. Presented analysis of the inter-seasonal dynamics of the ice volume demonstrates that there has been a significant decrement of ice in the monitored period.

show abstract

Massive Ice Loss from the Mauna Loa Icecave, Hawaii

Cited by 16 publications

References 18 publications

Climatologic studies inside Sandy Glacier at Mount Hood Volcano in Oregon, USA

Climatologic studies inside Sandy Glacier at Mount Hood Volcano in Oregon, USA

Detecting dynamics of cave floor ice with selective cloud-to-cloud approach

Detecting of Cave Floor Ice Dynamics based on Selective Cloud-to-Cloud Approach

Contact Info

Product

Resources

About