A GRASS GIS module to obtain an estimation of glacier behavior under climate change: A pilot study on Italian glacier. (September 2016)
- Record Type:
- Journal Article
- Title:
- A GRASS GIS module to obtain an estimation of glacier behavior under climate change: A pilot study on Italian glacier. (September 2016)
- Main Title:
- A GRASS GIS module to obtain an estimation of glacier behavior under climate change: A pilot study on Italian glacier
- Authors:
- Strigaro, Daniele
Moretti, Massimiliano
Mattavelli, Matteo
Frigerio, Ivan
Amicis, Mattia De
Maggi, Valter - Abstract:
- Abstract: The aim of this work is to integrate the Minimal Glacier Model in a Geographic Information System Python module in order to obtain spatial simulations of glacier retreat and to assess the future scenarios with a spatial representation. The Minimal Glacier Models are a simple yet effective way of estimating glacier response to climate fluctuations. This module can be useful for the scientific and glaciological community in order to evaluate glacier behavior, driven by climate forcing. The module, called r.glacio.model, is developed in a GRASS GIS (GRASS Development Team, 2016 ) environment using Python programming language combined with different libraries as GDAL, OGR, CSV, math, etc. The module is applied and validated on the Rutor glacier, a glacier in the south-western region of the Italian Alps. This glacier is very large in size and features rather regular and lively dynamics. The simulation is calibrated by reconstructing the 3-dimensional dynamics flow line and analyzing the difference between the simulated flow line length variations and the observed glacier fronts coming from ortophotos and DEMs. These simulations are driven by the past mass balance record. Afterwards, the future assessment is estimated by using climatic drivers provided by a set of General Circulation Models participating in the Climate Model Inter-comparison Project 5 effort. The approach devised in r.glacio.model can be applied to most alpine glaciers to obtain a first-order spatialAbstract: The aim of this work is to integrate the Minimal Glacier Model in a Geographic Information System Python module in order to obtain spatial simulations of glacier retreat and to assess the future scenarios with a spatial representation. The Minimal Glacier Models are a simple yet effective way of estimating glacier response to climate fluctuations. This module can be useful for the scientific and glaciological community in order to evaluate glacier behavior, driven by climate forcing. The module, called r.glacio.model, is developed in a GRASS GIS (GRASS Development Team, 2016 ) environment using Python programming language combined with different libraries as GDAL, OGR, CSV, math, etc. The module is applied and validated on the Rutor glacier, a glacier in the south-western region of the Italian Alps. This glacier is very large in size and features rather regular and lively dynamics. The simulation is calibrated by reconstructing the 3-dimensional dynamics flow line and analyzing the difference between the simulated flow line length variations and the observed glacier fronts coming from ortophotos and DEMs. These simulations are driven by the past mass balance record. Afterwards, the future assessment is estimated by using climatic drivers provided by a set of General Circulation Models participating in the Climate Model Inter-comparison Project 5 effort. The approach devised in r.glacio.model can be applied to most alpine glaciers to obtain a first-order spatial representation of glacier behavior under climate change. Abstract : Highlights: A module to integrate the Minimal Glacier Model in a GIS is proposed. The aim is to obtain spatial simulations to assess the future scenarios. The module is applied and validated on the Rutor glacier, in the Italian Alps. The simplicity of the model makes it applicable for a large amount of glaciers. … (more)
- Is Part Of:
- Computers & geosciences. Volume 94(2016)
- Journal:
- Computers & geosciences
- Issue:
- Volume 94(2016)
- Issue Display:
- Volume 94, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 94
- Issue:
- 2016
- Issue Sort Value:
- 2016-0094-2016-0000
- Page Start:
- 68
- Page End:
- 76
- Publication Date:
- 2016-09
- Subjects:
- GIS -- Minimal glacier model -- Glaciology -- Geoinformatic -- GRASS GIS -- Climate
Environmental policy -- Periodicals
550.5 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00983004 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.cageo.2016.06.009 ↗
- Languages:
- English
- ISSNs:
- 0098-3004
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.695000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7759.xml