Missing pieces to modeling the Arctic-Boreal puzzle

• Published in: Environmental Research Letters
• Main Authors: Fisher, Joshua, Hayes, Daniel, Schwalm, Christopher, Huntzinger, Deborah, Stofferahn, Eric, Schaefer, Kevin, Luo, Yiqi, Wullschleger, Stan, Goetz, Scott, Miller, Charles, Griffith, Peter, Chadburn, Sarah, Chatterjee, Abhishek, Ciais, Philippe, Douglas, Thomas, Genet, Hélène, Ito, Akihiko, Neigh, Christopher, Poulter, Benjamin, Rogers, Brendan, Sonnentag, Oliver, Tian, Hanqin, Wang, Weile, Xue, Yongkang, Yang, Zong-Liang, Zeng, Ning, Zhang, Zhen
• Other Authors: University of Oxford, Cyprus Oceanography Center, University of Cyprus Nicosia (UCY), Northern Arizona University Flagstaff, Jet Propulsion Laboratory (JPL), NASA-California Institute of Technology (CALTECH), Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado Boulder -National Oceanic and Atmospheric Administration (NOAA), University of Oklahoma (OU), Oak Ridge National Laboratory Oak Ridge (ORNL), UT-Battelle, LLC, NASA Goddard Space Flight Center (GSFC), College of Engineering, Mathematics and Physical Sciences Exeter (EMPS), University of Exeter, Universities Space Research Association Washington (USRA), ICOS-ATC (ICOS-ATC), Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Institute of Arctic Biology, University of Alaska Fairbanks (UAF), National Institute for Environmental Studies (NIES), Montana State University (MSU), Department of Geography, Université Catholique de Louvain = Catholic University of Louvain (UCL), Auburn University (AU), NASA Ames Research Center (ARC), California State University Monterey Bay (CSUMB), Department of Geography Los Angeles, University of California Los Angeles (UCLA), University of California (UC)-University of California (UC), Jackson School of Geosciences (JSG), University of Texas at Austin Austin, Institute of Atmospheric Physics Beijing (IAP), Chinese Academy of Sciences Beijing (CAS), University of Maryland College Park, University of Maryland System, This work was supported by NASA's Arctic Boreal Vulnerability Experiment (ABoVE); NNN13D504T (JBF), NNX17AE44G (SJG).
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2018
• Subjects: [SDU.OCEAN]Sciences of the Universe [physics]/Ocean; Atmosphere; [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces; environment; permafrost
• Online Access: https://hal.science/hal-02903419; https://hal.science/hal-02903419/document; https://hal.science/hal-02903419/file/Fisher_2018_Environ._Res._Lett._13_020202.pdf; https://doi.org/10.1088/1748-9326/aa9d9a

International audience 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.