Missing pieces to modeling the Arctic-Boreal puzzle
Abstract
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. Furthermore, 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.
- Authors:
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[1];
[7];
[10];
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- California Inst. of Technology (CalTech), Pasadena, CA (United States)
- Univ. of Maine, Orono, ME (United States)
- Woods Hole Research Center, Falmouth, MA (United States)
- Northern Arizona Univ., Flagstaff, AZ (United States)
- Univ. of Colorado, Boulder, CO (United States)
- Univ. of Oklahoma, Norman, OK (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
- Univ. of Leeds, Leeds (United Kingdom)
- NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States); Univ. Space Research Assoc., Columbia, MD (United States)
- Lab. des Sciences du Climat et l'Environnement, Gif Sur Yvette (France)
- U.S. Army Cold Regions Research and Engineering Lab., Fort Wainwright, AK (United States)
- Univ. of Alaska, Fairbanks, AK (United States)
- National Institute for Environmental Studies, Tsukuba (Japan)
- Univ. de Montreal, Montreal, QC (Canada)
- Auburn Univ., Auburn, AL (United States)
- NASA Ames Research Center (ARC), Moffett Field, CA (United States); California State Univ. Monterey Bay, Seaside, CA (United States)
- Univ. of California, Los Angeles, CA (United States)
- Univ. of Texas, Austin, TX (United States)
- Univ. of Maryland, College Park, MD (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1460238
- Grant/Contract Number:
- AC05-00OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Environmental Research Letters
- Additional Journal Information:
- Journal Volume: 13; Journal Issue: 2; Journal ID: ISSN 1748-9326
- Publisher:
- IOP Publishing
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; ABoVE; arctic; arctic boreal vulnerability experiment; boreal; model; requirements; uncertainty
Citation Formats
Fisher, Joshua B., Hayes, Daniel J., Schwalm, Christopher R., Huntzinger, Deborah N., Stofferahn, Eric, Schaefer, Kevin, Luo, Yiqi, Wullschleger, Stan D., Goetz, Scott, Miller, Charles E., Griffith, Peter, Chadburn, Sarah, Chatterjee, Abhishek, Ciais, Philippe, Douglas, Thomas A., Genet, Helene, Ito, Akihiko, Neigh, Christopher S. R., Poulter, Benjamin, Rogers, Brendan M., Sonnentag, Oliver, Tian, Hanqin, Wang, Weile, Xue, Yongkang, Yang, Zong -Liang, Zeng, Ning, and Zhang, Zhen. Missing pieces to modeling the Arctic-Boreal puzzle. United States: N. p., 2018.
Web. doi:10.1088/1748-9326/aa9d9a.
Fisher, Joshua B., Hayes, Daniel J., Schwalm, Christopher R., Huntzinger, Deborah N., Stofferahn, Eric, Schaefer, Kevin, Luo, Yiqi, Wullschleger, Stan D., Goetz, Scott, Miller, Charles E., Griffith, Peter, Chadburn, Sarah, Chatterjee, Abhishek, Ciais, Philippe, Douglas, Thomas A., Genet, Helene, Ito, Akihiko, Neigh, Christopher S. R., Poulter, Benjamin, Rogers, Brendan M., Sonnentag, Oliver, Tian, Hanqin, Wang, Weile, Xue, Yongkang, Yang, Zong -Liang, Zeng, Ning, & Zhang, Zhen. Missing pieces to modeling the Arctic-Boreal puzzle. United States. https://doi.org/10.1088/1748-9326/aa9d9a
Fisher, Joshua B., Hayes, Daniel J., Schwalm, Christopher R., Huntzinger, Deborah N., Stofferahn, Eric, Schaefer, Kevin, Luo, Yiqi, Wullschleger, Stan D., Goetz, Scott, Miller, Charles E., Griffith, Peter, Chadburn, Sarah, Chatterjee, Abhishek, Ciais, Philippe, Douglas, Thomas A., Genet, Helene, Ito, Akihiko, Neigh, Christopher S. R., Poulter, Benjamin, Rogers, Brendan M., Sonnentag, Oliver, Tian, Hanqin, Wang, Weile, Xue, Yongkang, Yang, Zong -Liang, Zeng, Ning, and Zhang, Zhen. Tue .
"Missing pieces to modeling the Arctic-Boreal puzzle". United States. https://doi.org/10.1088/1748-9326/aa9d9a. https://www.osti.gov/servlets/purl/1460238.
@article{osti_1460238,
title = {Missing pieces to modeling the Arctic-Boreal puzzle},
author = {Fisher, Joshua B. and Hayes, Daniel J. and Schwalm, Christopher R. and Huntzinger, Deborah N. and Stofferahn, Eric and Schaefer, Kevin and Luo, Yiqi and Wullschleger, Stan D. and Goetz, Scott and Miller, Charles E. and Griffith, Peter and Chadburn, Sarah and Chatterjee, Abhishek and Ciais, Philippe and Douglas, Thomas A. and Genet, Helene and Ito, Akihiko and Neigh, Christopher S. R. and Poulter, Benjamin and Rogers, Brendan M. and Sonnentag, Oliver and Tian, Hanqin and Wang, Weile and Xue, Yongkang and Yang, Zong -Liang and Zeng, Ning and Zhang, Zhen},
abstractNote = {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. Furthermore, 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.},
doi = {10.1088/1748-9326/aa9d9a},
journal = {Environmental Research Letters},
number = 2,
volume = 13,
place = {United States},
year = {Tue Feb 13 00:00:00 EST 2018},
month = {Tue Feb 13 00:00:00 EST 2018}
}
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