Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive

This Modeling Archive is in support of a NGEE-Arctic publication: Shirley et al. (2022) ?Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed". [DOI]. The dataset contains outputs from the gl...

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Main Authors: Shirley, Ian, Dafflon, Baptiste, Mekonnen, Zelalem, Riley, William, Grant, Robert
Language:unknown
Published: 2022
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1875918
https://www.osti.gov/biblio/1875918
https://doi.org/10.5440/1875918
id ftosti:oai:osti.gov:1875918
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spelling ftosti:oai:osti.gov:1875918 2023-07-30T04:00:22+02:00 Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive Shirley, Ian Dafflon, Baptiste Mekonnen, Zelalem Riley, William Grant, Robert 2022-09-02 application/pdf http://www.osti.gov/servlets/purl/1875918 https://www.osti.gov/biblio/1875918 https://doi.org/10.5440/1875918 unknown http://www.osti.gov/servlets/purl/1875918 https://www.osti.gov/biblio/1875918 https://doi.org/10.5440/1875918 doi:10.5440/1875918 54 Environmental Sciences 2022 ftosti https://doi.org/10.5440/1875918 2023-07-11T10:13:27Z This Modeling Archive is in support of a NGEE-Arctic publication: Shirley et al. (2022) ?Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed". [DOI]. The dataset contains outputs from the global sensitivity analysis (GSA) of the ?ecosys? model as reported in Shirley et al. (2022). The study showed that discontinuous permafrost environments are characterized by complex feedback loops and strong spatial heterogeneity which is created by variability in near-surface hydrology and soil properties. Additionally, the study demonstrated that missing representation of sub-grid heterogeneity in terrestrial ecosystem models can lead to biased estimates of the high-latitude carbon budget. Included in this dataset are the factor values for each run in the GSA and the model outputs used in this study. Included are two *.csv data files and one *.pdf. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM). Other/Unknown Material Arctic Barrow Nome north slope permafrost Seward Peninsula Tundra Alaska SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) Arctic
institution Open Polar
collection SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy)
op_collection_id ftosti
language unknown
topic 54 Environmental Sciences
spellingShingle 54 Environmental Sciences
Shirley, Ian
Dafflon, Baptiste
Mekonnen, Zelalem
Riley, William
Grant, Robert
Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive
topic_facet 54 Environmental Sciences
description This Modeling Archive is in support of a NGEE-Arctic publication: Shirley et al. (2022) ?Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed". [DOI]. The dataset contains outputs from the global sensitivity analysis (GSA) of the ?ecosys? model as reported in Shirley et al. (2022). The study showed that discontinuous permafrost environments are characterized by complex feedback loops and strong spatial heterogeneity which is created by variability in near-surface hydrology and soil properties. Additionally, the study demonstrated that missing representation of sub-grid heterogeneity in terrestrial ecosystem models can lead to biased estimates of the high-latitude carbon budget. Included in this dataset are the factor values for each run in the GSA and the model outputs used in this study. Included are two *.csv data files and one *.pdf. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
author Shirley, Ian
Dafflon, Baptiste
Mekonnen, Zelalem
Riley, William
Grant, Robert
author_facet Shirley, Ian
Dafflon, Baptiste
Mekonnen, Zelalem
Riley, William
Grant, Robert
author_sort Shirley, Ian
title Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive
title_short Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive
title_full Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive
title_fullStr Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive
title_full_unstemmed Near-Surface Hydrology and Soil Properties Drive Heterogeneity in Permafrost Distribution, Vegetation Dynamics, and Carbon Cycling in a Sub-Arctic Watershed: Modeling Archive
title_sort near-surface hydrology and soil properties drive heterogeneity in permafrost distribution, vegetation dynamics, and carbon cycling in a sub-arctic watershed: modeling archive
publishDate 2022
url http://www.osti.gov/servlets/purl/1875918
https://www.osti.gov/biblio/1875918
https://doi.org/10.5440/1875918
geographic Arctic
geographic_facet Arctic
genre Arctic
Barrow
Nome
north slope
permafrost
Seward Peninsula
Tundra
Alaska
genre_facet Arctic
Barrow
Nome
north slope
permafrost
Seward Peninsula
Tundra
Alaska
op_relation http://www.osti.gov/servlets/purl/1875918
https://www.osti.gov/biblio/1875918
https://doi.org/10.5440/1875918
doi:10.5440/1875918
op_doi https://doi.org/10.5440/1875918
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