Conceptualization and Application of the Alaska Thermokarst Model
Thermokarst topography forms whenever ice-rich permafrost thaws and the ground subsides due to the volume loss when ground ice transitions to water. The Alaska Thermokarst Model (ATM) is a large-scale, state-and-transition model designed to simulate transitions between landscape units affected by th...
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International Arctic Research Center (IARC) Data Archive
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dataone:dcx_09807225-cac0-4df0-9e22-edb2cc7e911a_0 2024-06-03T18:46:41+00:00 Conceptualization and Application of the Alaska Thermokarst Model ENVELOPE(-180.0,-130.0,75.0,50.0) 2016-12-23T20:46:24.181Z https://search.dataone.org/view/dcx_09807225-cac0-4df0-9e22-edb2cc7e911a_0 unknown International Arctic Research Center (IARC) Data Archive Thermokarst World permafrost NGEE Barrow Dataset dataone:urn:node:IARC 2024-06-03T18:09:11Z Thermokarst topography forms whenever ice-rich permafrost thaws and the ground subsides due to the volume loss when ground ice transitions to water. The Alaska Thermokarst Model (ATM) is a large-scale, state-and-transition model designed to simulate transitions between landscape units affected by thermokarst disturbance. The ATM uses a frame-based methodology to track transitions and proportion of cohorts within a 1-km2 grid cell. In the arctic tundra environment, the ATM tracks thermokarst-related transitions among wetland tundra, graminoid tundra, shrub tundra, and thermokarst lakes. In the boreal forest environment, the ATM tracks transitions among forested permafrost plateau, thermokarst lakes, collapse scar fens and bogs. The spatial distribution of cohorts [landcover] is required to initialize and run the ATM. The initial landcover distribution is based upon analysis of compiled remote sensing data sets (SPOT-5, Inferometric Synthetic Aperture Radar, and LandSat8 OLI) at 30-m resolution. Remote sensing analysis and field measurements from previous and ongoing studies are used to determine the ice-content of the soil, the drainage efficiency (or the ability of the landscape to store or transport water), the cumulative probability of thermokarst initiation, distance from rivers, lake dynamics (increasing, decreasing, or stable), and other factors which help determine landscape transition rates. Tundra types are allowed to transition from one type to another (for example, wetland tundra to graminoid tundra) under favorable climatic conditions. Dataset Arctic Barrow Ice permafrost Thermokarst Tundra Alaska International Arctic Research Center (IARC) Data Archive (via DataONE) Arctic ENVELOPE(-180.0,-130.0,75.0,50.0) |
institution |
Open Polar |
collection |
International Arctic Research Center (IARC) Data Archive (via DataONE) |
op_collection_id |
dataone:urn:node:IARC |
language |
unknown |
topic |
Thermokarst World permafrost NGEE Barrow |
spellingShingle |
Thermokarst World permafrost NGEE Barrow Conceptualization and Application of the Alaska Thermokarst Model |
topic_facet |
Thermokarst World permafrost NGEE Barrow |
description |
Thermokarst topography forms whenever ice-rich permafrost thaws and the ground subsides due to the volume loss when ground ice transitions to water. The Alaska Thermokarst Model (ATM) is a large-scale, state-and-transition model designed to simulate transitions between landscape units affected by thermokarst disturbance. The ATM uses a frame-based methodology to track transitions and proportion of cohorts within a 1-km2 grid cell. In the arctic tundra environment, the ATM tracks thermokarst-related transitions among wetland tundra, graminoid tundra, shrub tundra, and thermokarst lakes. In the boreal forest environment, the ATM tracks transitions among forested permafrost plateau, thermokarst lakes, collapse scar fens and bogs. The spatial distribution of cohorts [landcover] is required to initialize and run the ATM. The initial landcover distribution is based upon analysis of compiled remote sensing data sets (SPOT-5, Inferometric Synthetic Aperture Radar, and LandSat8 OLI) at 30-m resolution. Remote sensing analysis and field measurements from previous and ongoing studies are used to determine the ice-content of the soil, the drainage efficiency (or the ability of the landscape to store or transport water), the cumulative probability of thermokarst initiation, distance from rivers, lake dynamics (increasing, decreasing, or stable), and other factors which help determine landscape transition rates. Tundra types are allowed to transition from one type to another (for example, wetland tundra to graminoid tundra) under favorable climatic conditions. |
format |
Dataset |
title |
Conceptualization and Application of the Alaska Thermokarst Model |
title_short |
Conceptualization and Application of the Alaska Thermokarst Model |
title_full |
Conceptualization and Application of the Alaska Thermokarst Model |
title_fullStr |
Conceptualization and Application of the Alaska Thermokarst Model |
title_full_unstemmed |
Conceptualization and Application of the Alaska Thermokarst Model |
title_sort |
conceptualization and application of the alaska thermokarst model |
publisher |
International Arctic Research Center (IARC) Data Archive |
publishDate |
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url |
https://search.dataone.org/view/dcx_09807225-cac0-4df0-9e22-edb2cc7e911a_0 |
op_coverage |
ENVELOPE(-180.0,-130.0,75.0,50.0) |
long_lat |
ENVELOPE(-180.0,-130.0,75.0,50.0) |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Barrow Ice permafrost Thermokarst Tundra Alaska |
genre_facet |
Arctic Barrow Ice permafrost Thermokarst Tundra Alaska |
_version_ |
1800869729690189824 |