Permafrost model for the Argentinian Andes - Calibration data set

Supplementary information to the following publication: Tapia Baldis C, Trombotto Liaudat D. 2020. Permafrost debris-model in Central Andes of Argentina (28°-33° S). Cuadernos de Investigación Geográfica 46, http://doi.org/10.18172/cig.3802 --- To predict regional-scale spatial patterns of permafros...

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Main Author: Tapia Baldis, Carla
Format: Other/Unknown Material
Language:English
Published: Zenodo 2018
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Online Access:https://doi.org/10.5281/zenodo.7229569
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spelling ftzenodo:oai:zenodo.org:7229569 2024-09-15T18:29:39+00:00 Permafrost model for the Argentinian Andes - Calibration data set Tapia Baldis, Carla 2018-03-27 https://doi.org/10.5281/zenodo.7229569 eng eng Zenodo https://doi.org/10.5281/zenodo.7229568 https://doi.org/10.5281/zenodo.7229569 oai:zenodo.org:7229569 info:eu-repo/semantics/restrictedAccess info:eu-repo/semantics/other 2018 ftzenodo https://doi.org/10.5281/zenodo.722956910.5281/zenodo.7229568 2024-07-25T10:16:26Z Supplementary information to the following publication: Tapia Baldis C, Trombotto Liaudat D. 2020. Permafrost debris-model in Central Andes of Argentina (28°-33° S). Cuadernos de Investigación Geográfica 46, http://doi.org/10.18172/cig.3802 --- To predict regional-scale spatial patterns of permafrost occurrence, especially over remote environments with limited data, empiric-statistical models are widely used. This kind of approach correlates permafrost occurrence with topo-climatic factors (altitude, geographic position, slope, aspect, air temperature, ground temperature, solar radiation, etc.) easily available, in some cases. Different combinations of empiric-statistical models were tested to evaluate the permafrost spatial distribution in the study area. The study area (28° to 33°S and 70°30’ to 69°W) comprises the middle portion of the South American (Argentinian side) Central Andes (17°30’ to 35°S), named Dry Andes. The landscape is expressed as mountain ranges and valleys with 50% of the terrain surface above 3000 m a.s.l. The highest elevations are represented by mountain peaks such us Mercedario (6850 m a.s.l.) or La Ramada (6400 m a.s.l.). The Dry Andes could be further separated into Desert Andes (17°30’ to 31°S) and Central Andes (31° to 35°S), according to precipitation rates and landscape geomorphological characteristics. Models were trained in a calibration area to evaluate the correlation between geomorphological permafrost indicators (named explanatory variable) and the topoclimatic parameters (predictive variable). A logistic regression model with a logit link function was chosen as a mathematical approach. Data for model calibration was obtained from the Bramadero river basin, located at 31°50’ S and 70°00’ W in the Central Andes.From a geomorphological point of view, the landscape of the Dry Andes is characterized by the interdigitation of glacial, periglacial, alluvial, fluvial, and gravitational processes. The Bramadero river basin was largely glaciated during the LGM, even today it is ... Other/Unknown Material permafrost Zenodo
institution Open Polar
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op_collection_id ftzenodo
language English
description Supplementary information to the following publication: Tapia Baldis C, Trombotto Liaudat D. 2020. Permafrost debris-model in Central Andes of Argentina (28°-33° S). Cuadernos de Investigación Geográfica 46, http://doi.org/10.18172/cig.3802 --- To predict regional-scale spatial patterns of permafrost occurrence, especially over remote environments with limited data, empiric-statistical models are widely used. This kind of approach correlates permafrost occurrence with topo-climatic factors (altitude, geographic position, slope, aspect, air temperature, ground temperature, solar radiation, etc.) easily available, in some cases. Different combinations of empiric-statistical models were tested to evaluate the permafrost spatial distribution in the study area. The study area (28° to 33°S and 70°30’ to 69°W) comprises the middle portion of the South American (Argentinian side) Central Andes (17°30’ to 35°S), named Dry Andes. The landscape is expressed as mountain ranges and valleys with 50% of the terrain surface above 3000 m a.s.l. The highest elevations are represented by mountain peaks such us Mercedario (6850 m a.s.l.) or La Ramada (6400 m a.s.l.). The Dry Andes could be further separated into Desert Andes (17°30’ to 31°S) and Central Andes (31° to 35°S), according to precipitation rates and landscape geomorphological characteristics. Models were trained in a calibration area to evaluate the correlation between geomorphological permafrost indicators (named explanatory variable) and the topoclimatic parameters (predictive variable). A logistic regression model with a logit link function was chosen as a mathematical approach. Data for model calibration was obtained from the Bramadero river basin, located at 31°50’ S and 70°00’ W in the Central Andes.From a geomorphological point of view, the landscape of the Dry Andes is characterized by the interdigitation of glacial, periglacial, alluvial, fluvial, and gravitational processes. The Bramadero river basin was largely glaciated during the LGM, even today it is ...
format Other/Unknown Material
author Tapia Baldis, Carla
spellingShingle Tapia Baldis, Carla
Permafrost model for the Argentinian Andes - Calibration data set
author_facet Tapia Baldis, Carla
author_sort Tapia Baldis, Carla
title Permafrost model for the Argentinian Andes - Calibration data set
title_short Permafrost model for the Argentinian Andes - Calibration data set
title_full Permafrost model for the Argentinian Andes - Calibration data set
title_fullStr Permafrost model for the Argentinian Andes - Calibration data set
title_full_unstemmed Permafrost model for the Argentinian Andes - Calibration data set
title_sort permafrost model for the argentinian andes - calibration data set
publisher Zenodo
publishDate 2018
url https://doi.org/10.5281/zenodo.7229569
genre permafrost
genre_facet permafrost
op_relation https://doi.org/10.5281/zenodo.7229568
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op_rights info:eu-repo/semantics/restrictedAccess
op_doi https://doi.org/10.5281/zenodo.722956910.5281/zenodo.7229568
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