Missing pieces to modeling the Arctic-Boreal puzzle

• Published in: Environmental Research Letters
• Main Authors: Joshua B Fisher, Daniel J Hayes, Christopher R Schwalm, Deborah N Huntzinger, Eric Stofferahn, Kevin Schaefer, Yiqi Luo, Stan D Wullschleger, Scott Goetz, Charles E Miller, Peter Griffith, Sarah Chadburn, Abhishek Chatterjee, Philippe Ciais, Thomas A Douglas, Hélène Genet, Akihiko Ito, Christopher S R Neigh, Benjamin Poulter, Brendan M Rogers, Oliver Sonnentag, Hanqin Tian, Weile Wang, Yongkang Xue, Zong-Liang Yang, Ning Zeng, Zhen Zhang
• Format: Article in Journal/Newspaper
• Language: English
• Published: IOP Publishing 2018
• Subjects: ABoVE; arctic; arctic boreal vulnerability experiment; boreal; model; requirements; Environmental technology. Sanitary engineering; TD1-1066; Environmental sciences; GE1-350; Science; Q; Physics; QC1-999; Arctic; permafrost
• Online Access: https://doi.org/10.1088/1748-9326/aa9d9a; https://doaj.org/article/a578bc55fd9c44548947dea64ffb1ed7

NASA has launched the decade-long Arctic-Boreal Vulnerability Experiment (ABoVE). While the initial phases focus on field and airborne data collection, early integration with modeling activities is important to benefit future modeling syntheses. We compiled feedback from ecosystem modeling teams on key data needs, which encompass carbon biogeochemistry, vegetation, permafrost, hydrology, and disturbance dynamics. A suite of variables was identified as part of this activity with a critical requirement that they are collected concurrently and representatively over space and time. Individual projects in ABoVE may not capture all these needs, and thus there is both demand and opportunity for the augmentation of field observations, and synthesis of the observations that are collected, to ensure that science questions and integrated modeling activities are successfully implemented.