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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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 |
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SciTec Connect (Office of Scientific and Technical Information - OSTI, U.S. Department of Energy) |
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54 Environmental Sciences |
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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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1772810870243459072 |