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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Format: | Article |
Language: | English |
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IOP Publishing
2019-01-01
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Series: | Environmental Research Letters |
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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. |
first_indexed | 2024-03-12T15:59:43Z |
format | Article |
id | doaj.art-854f0db9a05f49e8b60ede80d32e6da4 |
institution | Directory Open Access Journal |
issn | 1748-9326 |
language | English |
last_indexed | 2024-03-12T15:59:43Z |
publishDate | 2019-01-01 |
publisher | IOP Publishing |
record_format | Article |
series | Environmental Research Letters |
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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