The Arctic-Boreal vulnerability experiment model benchmarking system

Eric Stofferahn, Joshua B. Fisher, Daniel J. Hayes, Christopher R Schwalm, Deborah N Huntzinger, Wouter Hantson, Benjamin Poulter, Zhen Zhang

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Article number055002
JournalEnvironmental Research Letters
Volume14
Issue number5
DOIs
StatePublished - May 1 2019

Fingerprint

Benchmarking
benchmarking
vulnerability
Carbon
experiment
Ecosystem
Experiments
Permafrost
ecosystem dynamics
Soil
permafrost
Ecosystems
Arctic Regions
Satellite Imagery
Hydrology
United States National Aeronautics and Space Administration
soil carbon
Biogeochemistry
Soils
Software

Keywords

  • ABoVE
  • Arctic
  • benchmarking
  • Boreal
  • carbon
  • ecosystem
  • model

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Environmental Science(all)
  • Public Health, Environmental and Occupational Health

Cite this

The Arctic-Boreal vulnerability experiment model benchmarking system. / Stofferahn, Eric; Fisher, Joshua B.; Hayes, Daniel J.; Schwalm, Christopher R; Huntzinger, Deborah N; Hantson, Wouter; Poulter, Benjamin; Zhang, Zhen.

In: Environmental Research Letters, Vol. 14, No. 5, 055002, 01.05.2019.

Research output: Contribution to journalArticle

Stofferahn, Eric ; Fisher, Joshua B. ; Hayes, Daniel J. ; Schwalm, Christopher R ; Huntzinger, Deborah N ; Hantson, Wouter ; Poulter, Benjamin ; Zhang, Zhen. / The Arctic-Boreal vulnerability experiment model benchmarking system. In: Environmental Research Letters. 2019 ; Vol. 14, No. 5.
@article{06e2dc45b55841408901c45b8749674f,
title = "The Arctic-Boreal vulnerability experiment model benchmarking system",
abstract = "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.",
keywords = "ABoVE, Arctic, benchmarking, Boreal, carbon, ecosystem, model",
author = "Eric Stofferahn and Fisher, {Joshua B.} and Hayes, {Daniel J.} and Schwalm, {Christopher R} and Huntzinger, {Deborah N} and Wouter Hantson and Benjamin Poulter and Zhen Zhang",
year = "2019",
month = "5",
day = "1",
doi = "10.1088/1748-9326/ab10fa",
language = "English (US)",
volume = "14",
journal = "Environmental Research Letters",
issn = "1748-9326",
publisher = "IOP Publishing Ltd.",
number = "5",

}

TY - JOUR

T1 - The Arctic-Boreal vulnerability experiment model benchmarking system

AU - Stofferahn, Eric

AU - Fisher, Joshua B.

AU - Hayes, Daniel J.

AU - Schwalm, Christopher R

AU - Huntzinger, Deborah N

AU - Hantson, Wouter

AU - Poulter, Benjamin

AU - Zhang, Zhen

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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.

AB - 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.

KW - ABoVE

KW - Arctic

KW - benchmarking

KW - Boreal

KW - carbon

KW - ecosystem

KW - model

UR - http://www.scopus.com/inward/record.url?scp=85068826948&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85068826948&partnerID=8YFLogxK

U2 - 10.1088/1748-9326/ab10fa

DO - 10.1088/1748-9326/ab10fa

M3 - Article

AN - SCOPUS:85068826948

VL - 14

JO - Environmental Research Letters

JF - Environmental Research Letters

SN - 1748-9326

IS - 5

M1 - 055002

ER -