Scientific Discovery through Advanced Computing (SciDAC-3) Partnership Project Annual Report

Hoffman, Forest M.¹  Bochev, Pavel B.²  Cameron-Smith, Philip J..³ 

[1] Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States);Sandia National Lab. (SNL-NM), Albuquerque, NM (United States);Lawrence Livermore National Lab. (LLNL), Livermore, CA (Unite

关键词: Earth System Models;    climate;    biospheric feedbacks;   

DOI  :  10.2172/1147164
RP-ID  :  ORNL/TM--2014/21
PID  :  OSTI ID: 1147164
Others  :  R&D Project: KP1703020

美国|英语

来源: SciTech Connect

【 摘 要 】

The Applying Computationally Efficient Schemes for BioGeochemical Cycles ACES4BGC Project is advancing the predictive capabilities of Earth System Models (ESMs) by reducing two of the largest sources of uncertainty, aerosols and biospheric feedbacks, with a highly efficient computational approach. In particular, this project is implementing and optimizing new computationally efficient tracer advection algorithms for large numbers of tracer species; adding important biogeochemical interactions between the atmosphere, land, and ocean models; and applying uncertainty quanti cation (UQ) techniques to constrain process parameters and evaluate uncertainties in feedbacks between biogeochemical cycles and the climate system.