NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022

Experiments evaluating the uniformity and intensity of rainfall produced by the NGEE Arctic Rainfall Simulator (NARS) were conducted at Los Alamos National Laboratory, New Mexico, over summer 2022. Petri dishes were placed in a grid within the NARS plot. Simulated rainfall was collected in each petr...

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Main Authors: Renner, Caleb, Thomas, Lauren, Conroy, Nathan
Language:unknown
Published: 2023
Subjects:
Online Access:http://www.osti.gov/servlets/purl/1960551
https://www.osti.gov/biblio/1960551
https://doi.org/10.5440/1960551
id ftosti:oai:osti.gov:1960551
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spelling ftosti:oai:osti.gov:1960551 2023-07-30T04:00:22+02:00 NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022 Renner, Caleb Thomas, Lauren Conroy, Nathan 2023-03-23 application/pdf http://www.osti.gov/servlets/purl/1960551 https://www.osti.gov/biblio/1960551 https://doi.org/10.5440/1960551 unknown http://www.osti.gov/servlets/purl/1960551 https://www.osti.gov/biblio/1960551 https://doi.org/10.5440/1960551 doi:10.5440/1960551 54 Environmental Sciences 2023 ftosti https://doi.org/10.5440/1960551 2023-07-11T10:25:11Z Experiments evaluating the uniformity and intensity of rainfall produced by the NGEE Arctic Rainfall Simulator (NARS) were conducted at Los Alamos National Laboratory, New Mexico, over summer 2022. Petri dishes were placed in a grid within the NARS plot. Simulated rainfall was collected in each petri dish and the intensity and uniformity of the simulator was subsequently calculated. This data package contains two .csv files, one that summarizes the rainfall intensity and uniformity for each experiment, the other that contains individual petri dish water volume and intensity for each plot location and experiment. The Python scripts to control NARS are also included. The NGEE Arctic Rainfall Simulator (NARS) is a variable intensity rainfall simulator (RFS) with a frame design based on the Humphry et al. (2002) RFS and a water delivery system based on the Walnut Gulch (Paige et al., 2004) RFS. The NARS uses an aluminum frame that is fully deconstructable for transportation to field locations and a water system that enables variable rain intensity. Rain intensity control and data collection are automated using a Raspberry Pi microcomputer. 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 ... 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 Gulch ENVELOPE(-61.483,-61.483,-63.997,-63.997) Paige ENVELOPE(-144.700,-144.700,-76.333,-76.333)
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
Renner, Caleb
Thomas, Lauren
Conroy, Nathan
NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022
topic_facet 54 Environmental Sciences
description Experiments evaluating the uniformity and intensity of rainfall produced by the NGEE Arctic Rainfall Simulator (NARS) were conducted at Los Alamos National Laboratory, New Mexico, over summer 2022. Petri dishes were placed in a grid within the NARS plot. Simulated rainfall was collected in each petri dish and the intensity and uniformity of the simulator was subsequently calculated. This data package contains two .csv files, one that summarizes the rainfall intensity and uniformity for each experiment, the other that contains individual petri dish water volume and intensity for each plot location and experiment. The Python scripts to control NARS are also included. The NGEE Arctic Rainfall Simulator (NARS) is a variable intensity rainfall simulator (RFS) with a frame design based on the Humphry et al. (2002) RFS and a water delivery system based on the Walnut Gulch (Paige et al., 2004) RFS. The NARS uses an aluminum frame that is fully deconstructable for transportation to field locations and a water system that enables variable rain intensity. Rain intensity control and data collection are automated using a Raspberry Pi microcomputer. 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 ...
author Renner, Caleb
Thomas, Lauren
Conroy, Nathan
author_facet Renner, Caleb
Thomas, Lauren
Conroy, Nathan
author_sort Renner, Caleb
title NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022
title_short NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022
title_full NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022
title_fullStr NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022
title_full_unstemmed NGEE Arctic Rainfall Simulator Validation Data from Los Alamos National Laboratory, New Mexico, Summer 2022
title_sort ngee arctic rainfall simulator validation data from los alamos national laboratory, new mexico, summer 2022
publishDate 2023
url http://www.osti.gov/servlets/purl/1960551
https://www.osti.gov/biblio/1960551
https://doi.org/10.5440/1960551
long_lat ENVELOPE(-61.483,-61.483,-63.997,-63.997)
ENVELOPE(-144.700,-144.700,-76.333,-76.333)
geographic Arctic
Gulch
Paige
geographic_facet Arctic
Gulch
Paige
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/1960551
https://www.osti.gov/biblio/1960551
https://doi.org/10.5440/1960551
doi:10.5440/1960551
op_doi https://doi.org/10.5440/1960551
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