The Arctic-Boreal vulnerability experiment model benchmarking system
Bibliographic Data
| ID | 15550251 |
|---|---|
| Authors | Eric Stofferahn (0000-0001-6960-4193, Pioneer (United States), corresponding author), Joshua B Fisher (0000-0002-5954-7989, Jet Propulsion Laboratory), Daniel J Hayes (0000-0002-3011-7934, University of Maine), Christopher R Schwalm (0000-0002-5035-5681, Woodwell Climate Research Center), D N Huntzinger (0000-0003-2998-099X, Northern Arizona University), Wouter Hantson (0000-0002-2882-6897, University of Maine), Benjamin Poulter (0000-0002-9493-8600, Goddard Space Flight Center), Zhen Zhang (0000-0003-4317-9701, University of Maryland, College Park) |
| Year | 2019 |
| Volume | 14 |
| Issue | 5 |
| Pages | 055002-055002 |
| Publication date | 2019-03-19 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ab10fa |
| OpenAlex | W2922594127 |
| Language | EN |
| Citations received | 4 |
| References cited | 36 |
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
Arctic · Boreal · Geography · Permafrost · Remote sensing · Climate change and permafrost · Cryospheric studies and observations · Environmental Science · Geology and Paleoclimatology Research · Geology · Oceanography
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| Citations per year | 0.67 |
|---|---|
| Citation span | 2020 - 2023 (4) |
| Highly cited | No |