The Arctic-Boreal vulnerability experiment model benchmarking system

NASA’s Arctic-Boreal Vulnerability Experiment (ABoVE) integrates field and airborne data into modeling and synthesis activities for understanding Arctic and Boreal ecosystem dynamics. The ABoVE Benchmarking System (ABS) is an operational software package to evaluate terrestrial biosphere models agai...

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Main Authors: Eric Stofferahn, Joshua B Fisher, Daniel J Hayes, Christopher R Schwalm, Deborah N Huntzinger, Wouter Hantson, Benjamin Poulter, Zhen Zhang
Format: Article
Language:English
Published: IOP Publishing 2019-01-01
Series:Environmental Research Letters
Subjects:
Online Access:https://doi.org/10.1088/1748-9326/ab10fa
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author Eric Stofferahn
Joshua B Fisher
Daniel J Hayes
Christopher R Schwalm
Deborah N Huntzinger
Wouter Hantson
Benjamin Poulter
Zhen Zhang
author_facet Eric Stofferahn
Joshua B Fisher
Daniel J Hayes
Christopher R Schwalm
Deborah N Huntzinger
Wouter Hantson
Benjamin Poulter
Zhen Zhang
author_sort Eric Stofferahn
collection DOAJ
description NASA’s Arctic-Boreal Vulnerability Experiment (ABoVE) integrates field and airborne data into modeling and synthesis activities for understanding Arctic and Boreal ecosystem dynamics. The ABoVE Benchmarking System (ABS) is an operational software package to evaluate terrestrial biosphere models against key indicators of Arctic and Boreal ecosystem dynamics, i.e.: carbon biogeochemistry, vegetation, permafrost, hydrology, and disturbance. The ABS utilizes satellite remote sensing data, airborne data, and field data from ABoVE as well as collaborating research networks in the region, e.g.: the Permafrost Carbon Network, the International Soil Carbon Network, the Northern Circumpolar Soil Carbon Database, AmeriFlux sites, the Moderate Resolution Imaging Spectroradiometer, the Orbiting Carbon Observatory 2, and the Soil Moisture Active Passive mission. The ABS is designed to be interactive for researchers interested in having their models accurately represent observations of key Arctic indicators: a user submits model results to the system, the system evaluates the model results against a set of Arctic-Boreal benchmarks outlined in the ABoVE Concise Experiment Plan, and the user then receives a quantitative scoring of model strengths and deficiencies through a web interface. This interactivity allows model developers to iteratively improve their model for the Arctic-Boreal Region by evaluating results from successive model versions. We show here, for illustration, the improvement of the Lund–Potsdam–Jena-Wald Schnee und Landschaft (LPJwsl) version model through the ABoVE ABS as a new permafrost module is coupled to the existing model framework. The ABS will continue to incorporate new benchmarks that address indicators of Arctic-Boreal ecosystem dynamics as they become available.
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spelling doaj.art-854f0db9a05f49e8b60ede80d32e6da42023-08-09T14:43:03ZengIOP PublishingEnvironmental Research Letters1748-93262019-01-0114505500210.1088/1748-9326/ab10faThe Arctic-Boreal vulnerability experiment model benchmarking systemEric Stofferahn0https://orcid.org/0000-0001-6960-4193Joshua B Fisher1https://orcid.org/0000-0003-4734-9085Daniel J Hayes2https://orcid.org/0000-0002-3011-7934Christopher R Schwalm3Deborah N Huntzinger4Wouter Hantson5Benjamin Poulter6https://orcid.org/0000-0002-9493-8600Zhen Zhang7Jet Propulsion Laboratory, California Institute of Technology , 4800 Oak Grove Drive, Pasadena, CA, 91109, United States of America; Conservation Science Partners, 11050 Pioneer Trail Suite #202, Truckee, CA, 96161, United States of AmericaJet Propulsion Laboratory, California Institute of Technology , 4800 Oak Grove Drive, Pasadena, CA, 91109, United States of AmericaSchool of Forest Resources, University of Maine , 233 Nutting Hall, Orono, ME, 04469-5755, United States of AmericaWoods Hole Research Center, 149 Woods Hole Road, Falmouth, MA, 02540-1644, United States of AmericaSchool of Earth & Sustainability, Northern Arizona University , PO Box 5694, Flagstaff, AZ, 86011-5697, United States of AmericaSchool of Forest Resources, University of Maine , 233 Nutting Hall, Orono, ME, 04469-5755, United States of AmericaNASA Goddard Space Flight Center, Biospheric Science Laboratory, Greenbelt, MD, 20771, United States of AmericaDepartment of Geographical Sciences, University of Maryland , College Park, MD 20740, United States of AmericaNASA’s Arctic-Boreal Vulnerability Experiment (ABoVE) integrates field and airborne data into modeling and synthesis activities for understanding Arctic and Boreal ecosystem dynamics. The ABoVE Benchmarking System (ABS) is an operational software package to evaluate terrestrial biosphere models against key indicators of Arctic and Boreal ecosystem dynamics, i.e.: carbon biogeochemistry, vegetation, permafrost, hydrology, and disturbance. The ABS utilizes satellite remote sensing data, airborne data, and field data from ABoVE as well as collaborating research networks in the region, e.g.: the Permafrost Carbon Network, the International Soil Carbon Network, the Northern Circumpolar Soil Carbon Database, AmeriFlux sites, the Moderate Resolution Imaging Spectroradiometer, the Orbiting Carbon Observatory 2, and the Soil Moisture Active Passive mission. The ABS is designed to be interactive for researchers interested in having their models accurately represent observations of key Arctic indicators: a user submits model results to the system, the system evaluates the model results against a set of Arctic-Boreal benchmarks outlined in the ABoVE Concise Experiment Plan, and the user then receives a quantitative scoring of model strengths and deficiencies through a web interface. This interactivity allows model developers to iteratively improve their model for the Arctic-Boreal Region by evaluating results from successive model versions. We show here, for illustration, the improvement of the Lund–Potsdam–Jena-Wald Schnee und Landschaft (LPJwsl) version model through the ABoVE ABS as a new permafrost module is coupled to the existing model framework. The ABS will continue to incorporate new benchmarks that address indicators of Arctic-Boreal ecosystem dynamics as they become available.https://doi.org/10.1088/1748-9326/ab10faABoVEbenchmarkingmodelArcticBorealecosystem
spellingShingle Eric Stofferahn
Joshua B Fisher
Daniel J Hayes
Christopher R Schwalm
Deborah N Huntzinger
Wouter Hantson
Benjamin Poulter
Zhen Zhang
The Arctic-Boreal vulnerability experiment model benchmarking system
Environmental Research Letters
ABoVE
benchmarking
model
Arctic
Boreal
ecosystem
title The Arctic-Boreal vulnerability experiment model benchmarking system
title_full The Arctic-Boreal vulnerability experiment model benchmarking system
title_fullStr The Arctic-Boreal vulnerability experiment model benchmarking system
title_full_unstemmed The Arctic-Boreal vulnerability experiment model benchmarking system
title_short The Arctic-Boreal vulnerability experiment model benchmarking system
title_sort arctic boreal vulnerability experiment model benchmarking system
topic ABoVE
benchmarking
model
Arctic
Boreal
ecosystem
url https://doi.org/10.1088/1748-9326/ab10fa
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