EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Constraining carbon, water, and energy cycling using diverse Earth observations across scales: the CARDAMOM 3.0 approach

Paul Levine1, Eren Bilir1, Anthony Bloom1, Renato Braghiere1,2, Caroline Famiglietti3, Alexandra Konings3, Marcos Longo4, Shuang Ma1, Elias Massoud5, Victoria Meyer1, Alexander Norton1, NIcholas Parazoo1, Gregory Quetin6, Luke Smallman7, Mathew Williams7, John Worden1, Matthew Worden3, Sarah Worden8, and Yan Yang1
Paul Levine et al.
  • 1Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States of America
  • 2California Institute of Technology, Pasadena, United States of America
  • 3Stanford University, Stanford, United States of America
  • 4Lawrence Berkeley National Laboratory, Berkeley, United States of America
  • 5Oak Ridge National Laboratory, Oak Ridge, United States of America
  • 6University of California, Santa Barbara, United States of America
  • 7University of Edinburgh, Edinburgh, Scotland
  • 8University of California, Los Angeles, United States of America

Predicting the fate of the terrestrial ecosystems and their role in the Earth system requires a quantitative and mechanistic understanding of carbon, water, and energy exchanges between the land surface and the atmosphere. While the current generation of land surface models show skill in representing many ecosystem processes, they largely disagree in the integrated response of the terrestrial biosphere to climatic change. These disagreements may be reconciled by confronting models with the diverse and expanding suite of Earth system observations in order to better constrain the underlying processes. In light of this goal, we have implemented substantial developments to the CARbon DAta-MOdel FraMework (CARDAMOM)—a data assimilation system that optimally estimates parameters of a parsimonious ecosystem model—which expand its original scope as a diagnostic tool for estimating carbon states and fluxes into a system that can infer and predict the response of carbon, water and energy cycles to climate and CO2 concentrations at seasonal-to-decadal timescales. CARDAMOM 3.0 retains all functionality and model structures of previous versions, but now features a flagship model which includes coupled carbon, water, and energy cycles, along with semi-mechanistic representations of photosynthetic assimilation, allocation, phenology, autotrophic and heterotrophic respiration, snow and cold-weather processes, and soil hydrology. Additionally, the underlying framework was substantially updated in order to facilitate community use of CARDAMOM by simplifying the interface and increasing the ease with which users can integrate new observations and develop new model structures. With these new developments, CARDAMOM 3.0 provides a versatile tool for applying information from a broad array of Earth observation data to investigate carbon, water, and energy cycles and their responses to climate and atmospheric CO2 across the full range of terrestrial ecosystems, from leaf level to continental scales.

How to cite: Levine, P., Bilir, E., Bloom, A., Braghiere, R., Famiglietti, C., Konings, A., Longo, M., Ma, S., Massoud, E., Meyer, V., Norton, A., Parazoo, N., Quetin, G., Smallman, L., Williams, M., Worden, J., Worden, M., Worden, S., and Yang, Y.: Constraining carbon, water, and energy cycling using diverse Earth observations across scales: the CARDAMOM 3.0 approach, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10918,, 2023.