B024-06
Near-term predictions of biogeochemistry in the Community Earth System Model

Tuesday, 8 December 2020: 10:52
Virtual
Nicole S Lovenduski1, Stephen G Yeager2, Riley Xavier Brady3, Kristen M. Krumhardt4, Gordon B Bonan5, Keith T Lindsay6 and Danica L. Lombardozzi5, (1)University of Colorado, Department of Atmospheric and Oceanic Sciences, Boulder, CO, United States, (2)NCAR, Oceanography, Boulder, CO, United States, (3)University of Colorado at Boulder, Department of Atmospheric and Oceanic Sciences, Boulder, CO, United States, (4)University of Lausanne, Institute of Earth Surface Dynamics, Lausanne, Switzerland, (5)National Center for Atmospheric Research, Boulder, CO, United States, (6)NCAR, Boulder, CO, United States
Abstract:
The pressing need for societally-relevant information about the climate system in the near-future (the coming years to decades) has generated extensive research in the field of decadal climate prediction. Here, we explore the potential to make predictions of near-term biogeochemistry using the Community Earth System Model Decadal Prediction Large Ensemble (CESM-DPLE). CESM-DPLE initiates 40 decade-long forecasts of the coupled Earth system each year from 1954 to 2017. Each forecast is initialized slightly differently, but all forecasts are subject to a common set of historical external forcings. The benefits of forecast initialization are explored by comparing the ensemble mean forecast with that generated by the un-initialized CESM Large Ensemble. Our results suggest the potential to predict the evolution of biogeochemically important quantities such as air-sea CO2 flux, phytoplankton primary productivity, surface ocean pH, and terrestrial carbon flux variations several years in advance. The production and analysis of decadal biogeochemical predictions has the potential to serve society and advance scientific research in this field.