B011-09
Observing, resolving and predicting the terrestrial carbon cycle and its sensitivity to climate.

Monday, 7 December 2020: 16:32
Virtual
A. Anthony Bloom1, Jessie Au2, Kevin W. Bowman1, Caroline Famiglietti3, Nathan Dadap4, Alexandra G. Konings3, Paul Alexander Levine5, Junjie Liu1, Marcos Longo6, Shuang Ma1, Troy Magney2, Elias Charbel Massoud7, Alexander Norton8, Nicholas Parazoo1, Gregory Ross Quetin3, John T Reager II9, Sassan S Saatchi10,11, David Schimel1, Luke Smallman12, Stephanie Grace Stettz1, Mathew Williams13, John Worden1, Helen Marie Worden14, Sarah R Worden15, Yan Yang1 and Yi Yin16, (1)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States, (2)University of California Davis, Plant Sciences, Davis, CA, United States, (3)Stanford University, Department of Earth System Science, Stanford, CA, United States, (4)Stanford University, Stanford, CA, United States, (5)NASA Jet Propulsion Laboratory, Pasadena, CA, United States, (6)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (7)JPL/NASA/Caltech, Pasadena, CA, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Los Angeles, United States, (9)University California, Irvine, Irvine, CA, United States, (10)Jet Propulsion Laboratory, Pasadena, CA, United States, (11)JPL, Pasadena, CA, United States, (12)University of Edinburgh, Edinburgh, United Kingdom, (13)University of Edinburgh, School of GeoSciences, Edinburgh, United Kingdom, (14)National Center for Atmospheric Research, Atmospheric Chemistry Observations & Modeling Laboratory, Boulder, CO, United States, (15)University of California, Los Angeles, Physics, Los Angeles, CA, United States, (16)California Institute of Technology, Division of Geological and Planetary Sciences, Pasadena, CA, United States
Abstract:
Understanding the processes regulating the net carbon (C) exchange across terrestrial ecosystems is a challenging task, largely due to uncertainties in terrestrial C states, processes and their dynamic responses to climate variability and disturbance. Both an integrated mechanistic understanding of climate forcings on C fluxes and their legacy effects on the terrestrial C balance are needed to understand and predict the net land C sink. Here we review recent efforts employing the Bayesian CARbon DAta-MOdel fraMework (CARDAMOM) approach—constrained by an array of in-situ and satellite-based terrestrial ecosystem observations (including measurements of leaf area, biomass, solar-induced fluorescence, groundwater storage, satellite-informed estimates of CO2 and CO surface fluxes, and eddy covariance datasets)—to test hypotheses on the state and evolution of terrestrial ecosystem C fluxes on seasonal-to-decadal timescales. We demonstrate that the combined observational constrains lead to substantial quantitative insights on the ecosystem-level photosynthetic sensitivity to climate, disturbance-recovery processes, carbon-water interactions, soil C cycling, and the role of lagged effects on ecosystem C exchanges, all of which are critical for improving predictions of the land C sink in the coming decades.