Annualmeeting:2017 CSDMS meeting-071: Difference between revisions

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{{CSDMS meeting personal information template-2014
{{CSDMS meeting personal information template-2014
|CSDMS meeting first name=Prashant
|CSDMS meeting first name=Michael
|CSDMS meeting last name=Baral
|CSDMS meeting last name=Angelopoulos
|CSDMS meeting institute=NIIT University
|CSDMS meeting institute=Alfred Wegener Institute for Polar and Marine Research
|CSDMS meeting city=Neemrana, Alwar, Rajasthan
|CSDMS meeting city=Potsdam
|CSDMS meeting country=India
|CSDMS meeting country=Germany
|CSDMS meeting email address=prashant.baral@st.niituniversity.in
|CSDMS meeting email address=michael.angelopoulos@awi.de
|CSDMS meeting phone=00919784019298
|CSDMS meeting phone=+49-0331-288-2173
}}
}}
{{CSDMS meeting scholar and pre-meeting
{{CSDMS meeting scholar and pre-meeting
|CSDMS meeting pre-conference=None
|CSDMS meeting pre-conference=Bootcamp
|CSDMS meeting post-conference=No
|CSDMS meeting post-conference=No
}}
}}
{{CSDMS meeting select clinics1
{{CSDMS meeting select clinics1
|CSDMS_meeting_select_clinics1=1) Bringing CSDMS models into the classroom
|CSDMS_meeting_select_clinics1=2) ANUGA - river flood morphodynamics
}}
}}
{{CSDMS meeting select clinics2
{{CSDMS meeting select clinics2
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{{CSDMS scholarships yes no
{{CSDMS scholarships yes no
|CSDMS meeting scholarships=Yes
|CSDMS meeting scholarships=No
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{{CSDMS meeting abstract yes no
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{{CSDMS meeting abstract title temp
{{CSDMS meeting abstract title temp
|CSDMS meeting abstract title=Understanding the current state and predictable future changes in the state of permafrost distribution in North-Western Himalayas, India
|CSDMS meeting abstract title=The effects of changing boundary conditions on modelled heat and salt diffusion in subaquatic permafrost offshore of Muostakh Island, Siberia.
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Pier Paul
|CSDMS meeting coauthor last name abstract=Overduin
|CSDMS meeting coauthor institute / Organization=Department of Periglacial Research, Alfred Wegener Institute for Polar and Marine Research
|CSDMS meeting coauthor town-city=Potsdam
|CSDMS meeting coauthor country=Germany
|CSDMS meeting coauthor email address=paul.overduin@awi.de
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Mikhail
|CSDMS meeting coauthor last name abstract=Grigoriev
|CSDMS meeting coauthor institute / Organization=Permafrost Institute, Siberian Branch of the Russian Academy of Sciences
|CSDMS meeting coauthor town-city=Yakutsk
|CSDMS meeting coauthor country=Russia
|CSDMS meeting coauthor email address=grigoriev@mpi.ysn.ru
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Sebastian
|CSDMS meeting coauthor last name abstract=Westermann
|CSDMS meeting coauthor institute / Organization=Department of Geosciences, University of Oslo,
|CSDMS meeting coauthor town-city=Oslo
|CSDMS meeting coauthor country=Norway
|CSDMS meeting coauthor email address=sebastian.westermann@geo.uio.no
}}
{{CSDMS meeting authors template
|CSDMS meeting coauthor first name abstract=Guido
|CSDMS meeting coauthor last name abstract=Grosse
|CSDMS meeting coauthor institute / Organization=Department of Periglacial Research, Alfred Wegener Institute for Polar and Marine Research & Institute of Earth and Environmental Sciences, University of Potsdam,
|CSDMS meeting coauthor town-city=Potsdam
|CSDMS meeting coauthor country=Germany
|CSDMS meeting coauthor email address=guido.grosse@awi.de
}}
}}
{{CSDMS meeting abstract template
{{CSDMS meeting abstract template
|CSDMS meeting abstract=The impacts of climate change on extent of permafrost degradation in the Himalayas are not well understood due to lack of historical ground-based observations. The area of permafrost exceeds that of glaciers in almost all Hindu Kush Himalayan (HKH) countries. However, very little is known about permafrost in the region as only a few local measurements have been conducted which is not sufficient to produce the fundamental level of knowledge of the spatial existence of permafrost. We intend to simulate permafrost conditions in Western Himalayas in India using Hyperspectral and Microwave remote sensing methods and computational models for the quantitative assessment of the current state of permafrost and the predictions of the extent and impacts of future changes. We also aim to identify the strength and limitations of remotely sensed data sets when they are applied together with data from other sources for permafrost modelling. We look forward to modelling ground temperatures using remote sensing data and reanalysis products as input data on a regional scale and support our analysis with measured in situ data of ground temperatures. Overall, we approach to model the current state and predictable future changes in the state of permafrost in Western Himalayas and also couple our results with similar research outcomes in atmospheric sciences, glaciology, and hydrology in the region.
|CSDMS meeting abstract=Geophysical datasets, thermal modelling, and drilling data suggest that most Arctic shelves are underlain by submarine permafrost due to their exposure during the glacial low water stands. The degradation of subsea permafrost depends on the duration of inundation, warming rate, the coupling of the seabed to the atmosphere from bottom-fast ice, and brine injections into the seabed. The impact of brine injections on permafrost degradation is dependent on seawater salinity, which changes seasonally in response to salt rejection from sea ice formation and terrestrial freshwater inflows. The relative importance of the upper boundary conditions responsible for permafrost table degradation rates, however, remain poorly understood. This study evaluates the effects of changing upper boundary conditions on subaquatic permafrost thaw rates using CRYOGRID, a one-dimensional heat diffusion model, which was extended to include coupled dissolved salt diffusion. More specifically, the impacts of using a seasonally varying seabed temperature function compared to a mean annual seabed temperature for both freshwater and saline water bodies were assessed. For saline conditions, the effects of different salinity regimes at the seabed, including mean annual concentrations and seasonal variations. Daily observations of seabed temperature and electrical conductivity from 01-09-2008 to 31-08-2009 offshore of Muostakh Island in Siberia were used to set up the upper boundary conditions for the base case model runs. For saline water bodies, sensitivity analyses for mean annual salt concentrations and seabed sediment type were also performed. In all model runs, a steady-state heat conduction function was used to calculate the initial ground thermal regime prior to inundation. The initial state of permafrost was assumed to contain no salt and the ramp-up time from a terrestrial to a sub-aquatic upper boundary condition was one year for all simulations. Generally, it was found that using a mean annual seabed temperature overestimates subaquatic permafrost thaw for shallow freshwater by approximately 2 metres after 65 years of inundation. Seasonal variation of the seabed temperature led to seasonal freezing and thawing of the sea bed. However, for water bodies with high mean annual concentrations of salt (i.e. 420 moles NaCl/m3), it was found that the difference between using mean annual versus seasonally varying seabed temperatures was negligible. Dissolved salts below the seabed depress the pore water freezing point sufficiently to prevent ice formation in the near-surface sediment despite sub-zero winter temperatures. Given the current trend of freshening in the Arctic Ocean, we expect seasonal freezing of the seabed to be more common for newly submerged permafrost caused by coastal erosion, and thus potentially leading to slower permafrost table degradation rates.
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Latest revision as of 17:28, 1 April 2017






Browse  abstracts



The effects of changing boundary conditions on modelled heat and salt diffusion in subaquatic permafrost offshore of Muostakh Island, Siberia.

Michael Angelopoulos, Alfred Wegener Institute for Polar and Marine Research Potsdam , Germany. michael.angelopoulos@awi.de
Pier Paul Overduin, Department of Periglacial Research, Alfred Wegener Institute for Polar and Marine Research Potsdam , Germany. paul.overduin@awi.de
Mikhail Grigoriev, Permafrost Institute, Siberian Branch of the Russian Academy of Sciences Yakutsk , Russia. grigoriev@mpi.ysn.ru
Sebastian Westermann, Department of Geosciences, University of Oslo, Oslo , Norway. sebastian.westermann@geo.uio.no
Guido Grosse, Department of Periglacial Research, Alfred Wegener Institute for Polar and Marine Research & Institute of Earth and Environmental Sciences, University of Potsdam, Potsdam , Germany. guido.grosse@awi.de


[[Image:|300px|right|link=File:]]Geophysical datasets, thermal modelling, and drilling data suggest that most Arctic shelves are underlain by submarine permafrost due to their exposure during the glacial low water stands. The degradation of subsea permafrost depends on the duration of inundation, warming rate, the coupling of the seabed to the atmosphere from bottom-fast ice, and brine injections into the seabed. The impact of brine injections on permafrost degradation is dependent on seawater salinity, which changes seasonally in response to salt rejection from sea ice formation and terrestrial freshwater inflows. The relative importance of the upper boundary conditions responsible for permafrost table degradation rates, however, remain poorly understood. This study evaluates the effects of changing upper boundary conditions on subaquatic permafrost thaw rates using CRYOGRID, a one-dimensional heat diffusion model, which was extended to include coupled dissolved salt diffusion. More specifically, the impacts of using a seasonally varying seabed temperature function compared to a mean annual seabed temperature for both freshwater and saline water bodies were assessed. For saline conditions, the effects of different salinity regimes at the seabed, including mean annual concentrations and seasonal variations. Daily observations of seabed temperature and electrical conductivity from 01-09-2008 to 31-08-2009 offshore of Muostakh Island in Siberia were used to set up the upper boundary conditions for the base case model runs. For saline water bodies, sensitivity analyses for mean annual salt concentrations and seabed sediment type were also performed. In all model runs, a steady-state heat conduction function was used to calculate the initial ground thermal regime prior to inundation. The initial state of permafrost was assumed to contain no salt and the ramp-up time from a terrestrial to a sub-aquatic upper boundary condition was one year for all simulations. Generally, it was found that using a mean annual seabed temperature overestimates subaquatic permafrost thaw for shallow freshwater by approximately 2 metres after 65 years of inundation. Seasonal variation of the seabed temperature led to seasonal freezing and thawing of the sea bed. However, for water bodies with high mean annual concentrations of salt (i.e. 420 moles NaCl/m3), it was found that the difference between using mean annual versus seasonally varying seabed temperatures was negligible. Dissolved salts below the seabed depress the pore water freezing point sufficiently to prevent ice formation in the near-surface sediment despite sub-zero winter temperatures. Given the current trend of freshening in the Arctic Ocean, we expect seasonal freezing of the seabed to be more common for newly submerged permafrost caused by coastal erosion, and thus potentially leading to slower permafrost table degradation rates.