How can we use comprehensive ensembles to improve regional carbon flux estimation?
How can we use comprehensive ensembles to improve regional carbon flux estimation?
Sha Feng1, Thomas Lauvaux2, Kenneth J Davis3, Christopher A Williams4, Yu Zhou5, Klaus Keller6, Zachary Barkley3, Daniel Wesloh3, Andrew E Schuh7, Junjie Liu8, Ian T Baker9, Tomohiro Oda10 and Peter J Rayner11, (1)Pacific Northwest National Laboratory, Richland, United States, (2)University of Reims-Champagne Ardenne, GSMA, Reims, France, (3)The Pennsylvania State University, Department of Meteorology and Atmospheric Science, University Park, United States, (4)Clark University, Graduate School of Geography, Worcester, MA, United States, (5)Cornell University, School of Integrative Plant Science, Ithaca, NY, United States, (6)Dartmouth College, Thayer College of Engineering, Hanover, United States, (7)Colorado State University, CIRA, Fort Collins, CO, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (9)Colorado State University, Atmospheric Sciences, Fort Collins, CO, United States, (10)Cooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado, United States, (11)The University of Melbourne, Melbourne, Australia