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The Arctic-Boreal vulnerability experiment model benchmarking systemNASA'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.
Document ID
20210011823
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Eric Stofferahn ORCID
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Joshua B Fisher ORCID
(Jet Propulsion Lab La Cañada Flintridge, California, United States)
Daniel J Hayes ORCID
(University of Maine Orono, Maine, United States)
Christopher R Schwalm
(Woods Hole Research Center Falmouth, Massachusetts, United States)
Deborah N Huntzinger
(Northern Arizona University Flagstaff, Arizona, United States)
Wouter Hantson
(University of Maine Orono, Maine, United States)
Benjamin Poulter ORCID
(Goddard Space Flight Center Greenbelt, Maryland, United States)
Zhen Zhang
(University of Maryland, College Park College Park, Maryland, United States)
Date Acquired
March 23, 2021
Publication Date
May 1, 2019
Publication Information
Publication: Environmental Research Letters
Publisher: IOP Publishing
Volume: 14
Issue: 5
Issue Publication Date: May 1, 2019
e-ISSN: 1748-9326
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
WBS: 304029.01.20.04.01.02
CONTRACT_GRANT: 80NSSC19M0113
CONTRACT_GRANT: 80NM0018D0004P00002
CONTRACT_GRANT: GBMF5439
CONTRACT_GRANT: DOE-ERKP818
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
ABoVE
benchmarking
model
Arctic
Boreal
ecosystem
carbon
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