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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Format: Dataset
Language:unknown
Published: International Arctic Research Center (IARC) Data Archive
Subjects:
Ice
Online Access:https://search.dataone.org/view/dcx_09807225-cac0-4df0-9e22-edb2cc7e911a_0
id dataone:dcx_09807225-cac0-4df0-9e22-edb2cc7e911a_0
record_format openpolar
spelling 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
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
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