The Ice Data Hub as a powerful interface between data and simulations

Providing measurements for scientific simulation software often requires tedious manual preprocessing of data sets. To overcome this problem and make it easy for simulation tools to access heterogeneous data sets directly, we have developed the Ice Data Hub. The Ice Data Hub combines available data...

Full description

Bibliographic Details
Main Authors: Boxberg, Marc S., Simson, Anna, Chen, Qian, Kowalski, Julia
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10510
id ftsubggeo:oai:e-docs.geo-leo.de:11858/10510
record_format openpolar
spelling ftsubggeo:oai:e-docs.geo-leo.de:11858/10510 2023-05-15T13:42:31+02:00 The Ice Data Hub as a powerful interface between data and simulations Boxberg, Marc S. Simson, Anna Chen, Qian Kowalski, Julia 2023 http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10510 eng eng DGG 83. Jahrestagung 2023, 05.03.-09.03.2023, Bremen http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10510 doc-type:conferenceObject 2023 ftsubggeo 2023-03-19T23:12:04Z Providing measurements for scientific simulation software often requires tedious manual preprocessing of data sets. To overcome this problem and make it easy for simulation tools to access heterogeneous data sets directly, we have developed the Ice Data Hub. The Ice Data Hub combines available data from Earth or other planetary bodies including their meta data and allows it to be displayed, interpreted and exported. Most important is its functionality as an interface between data and simulation tools. For example, we develop models for thermodynamic melting processes that can evaluate measured data directly thanks to the Ice Data Hub. It can also be used as a black box, where a simulation tool queries the Hub to provide a property. This could, for example, be a material property at a certain depth. The accessing functionality for the user is wrapped in the sense that the user uses similar routines, regardless the format of data, e.g., analytical expression, look-up table or interpolant. To illustrate the capabilities of the Ice Data Hub, we show results of 1) thermal conductivity simulations in glacial ice with temperature data from Langenferner Glacier, Italy, and 2) trajectory models of ice melting probes compared with housekeeping data from field experiments at Taylor Glacier, Antarctica. 1) The observed temperature evolution from a measured time series of 1D temperature observations in an interval of one hour differs from the theoretically predicted temperature evolution, which was determined on the basis of an idealised seasonal and diurnal temperature variation at the surface and constant ice material parameters. Hence, we reconstruct spatio-temporally varying effective material parameters from these observations using the Crank Nicolson Method. 2) Ice melting probes are developed to penetrate ice and access potential subglacial water reservoirs for insitu studies. The ice-sheet transit provides an excellent opportunity to study the structure and composition of the ice itself using geophysical and other ... Conference Object Antarc* Antarctica Ice Sheet Taylor Glacier GEO-LEOe-docs (FID GEO) Taylor Glacier ENVELOPE(162.167,162.167,-77.733,-77.733)
institution Open Polar
collection GEO-LEOe-docs (FID GEO)
op_collection_id ftsubggeo
language English
description Providing measurements for scientific simulation software often requires tedious manual preprocessing of data sets. To overcome this problem and make it easy for simulation tools to access heterogeneous data sets directly, we have developed the Ice Data Hub. The Ice Data Hub combines available data from Earth or other planetary bodies including their meta data and allows it to be displayed, interpreted and exported. Most important is its functionality as an interface between data and simulation tools. For example, we develop models for thermodynamic melting processes that can evaluate measured data directly thanks to the Ice Data Hub. It can also be used as a black box, where a simulation tool queries the Hub to provide a property. This could, for example, be a material property at a certain depth. The accessing functionality for the user is wrapped in the sense that the user uses similar routines, regardless the format of data, e.g., analytical expression, look-up table or interpolant. To illustrate the capabilities of the Ice Data Hub, we show results of 1) thermal conductivity simulations in glacial ice with temperature data from Langenferner Glacier, Italy, and 2) trajectory models of ice melting probes compared with housekeeping data from field experiments at Taylor Glacier, Antarctica. 1) The observed temperature evolution from a measured time series of 1D temperature observations in an interval of one hour differs from the theoretically predicted temperature evolution, which was determined on the basis of an idealised seasonal and diurnal temperature variation at the surface and constant ice material parameters. Hence, we reconstruct spatio-temporally varying effective material parameters from these observations using the Crank Nicolson Method. 2) Ice melting probes are developed to penetrate ice and access potential subglacial water reservoirs for insitu studies. The ice-sheet transit provides an excellent opportunity to study the structure and composition of the ice itself using geophysical and other ...
format Conference Object
author Boxberg, Marc S.
Simson, Anna
Chen, Qian
Kowalski, Julia
spellingShingle Boxberg, Marc S.
Simson, Anna
Chen, Qian
Kowalski, Julia
The Ice Data Hub as a powerful interface between data and simulations
author_facet Boxberg, Marc S.
Simson, Anna
Chen, Qian
Kowalski, Julia
author_sort Boxberg, Marc S.
title The Ice Data Hub as a powerful interface between data and simulations
title_short The Ice Data Hub as a powerful interface between data and simulations
title_full The Ice Data Hub as a powerful interface between data and simulations
title_fullStr The Ice Data Hub as a powerful interface between data and simulations
title_full_unstemmed The Ice Data Hub as a powerful interface between data and simulations
title_sort ice data hub as a powerful interface between data and simulations
publishDate 2023
url http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10510
long_lat ENVELOPE(162.167,162.167,-77.733,-77.733)
geographic Taylor Glacier
geographic_facet Taylor Glacier
genre Antarc*
Antarctica
Ice Sheet
Taylor Glacier
genre_facet Antarc*
Antarctica
Ice Sheet
Taylor Glacier
op_relation DGG 83. Jahrestagung 2023, 05.03.-09.03.2023, Bremen
http://resolver.sub.uni-goettingen.de/purl?gldocs-11858/10510
_version_ 1766168798275043328