气候变化领域集成服务门户(CCPortal): The Arctic-Boreal vulnerability experiment model benchmarking system

CCPortal

DOI	10.1088/1748-9326/ab10fa
	The Arctic-Boreal vulnerability experiment model benchmarking system
	Stofferahn E.; Fisher J.B.; Hayes D.J.; Schwalm C.R.; Huntzinger D.N.; Hantson W.; Poulter B.; Zhang Z.
发表日期	2019
ISSN	17489318
卷号	14 期号:5
英文摘要	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. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	ABoVE; Arctic; benchmarking; Boreal; carbon; ecosystem; model
语种	英语
scopus关键词	Benchmarking; Carbon; Dynamics; Ecosystems; Models; NASA; Orbits; Permafrost; Radiometers; Remote sensing; Soil moisture; ABoVE; Arctic; Boreal; Carbon biogeochemistries; Moderate resolution imaging spectroradiometer; Operational software; Satellite remote sensing data; Terrestrial biosphere; Soil surveys; benchmarking; biosphere; Boreal; ecosystem dynamics; OCO; permafrost; remote sensing; satellite altimetry; software; vulnerability; Arctic; Brandenburg [Germany]; Germany; Jena; Lund; Potsdam; Skane; Sweden; Thuringia
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/154594
作者单位	Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, United States; Conservation Science Partners, 11050 Pioneer Trail, Truckee, CA 96161, United States; School of Forest Resources, University of Maine, 233 Nutting Hall, Orono, ME 04469-5755, United States; Woods Hole Research Center, 149 Woods Hole Road, Falmouth, MA 02540-1644, United States; School of Earth and Sustainability, Northern Arizona University, PO Box 5694, Flagstaff, AZ 86011-5697, United States; NASA Goddard Space Flight Center, Biospheric Science Laboratory, Greenbelt, MD 20771, United States; Department of Geographical Sciences, University of Maryland, College Park, MD 20740, United States
推荐引用方式 GB/T 7714	Stofferahn E.,Fisher J.B.,Hayes D.J.,et al. The Arctic-Boreal vulnerability experiment model benchmarking system[J],2019,14(5).
APA	Stofferahn E..,Fisher J.B..,Hayes D.J..,Schwalm C.R..,Huntzinger D.N..,...&Zhang Z..(2019).The Arctic-Boreal vulnerability experiment model benchmarking system.Environmental Research Letters,14(5).
MLA	Stofferahn E.,et al."The Arctic-Boreal vulnerability experiment model benchmarking system".Environmental Research Letters 14.5(2019).