#L12 Effects of land model variability in a coupled ESM-IAM system

1.Poster Title	Effects of land model variability in a coupled ESM-IAM system
2.Authors	Ben Bond-Lamberty, Andrew Jones (Unlicensed), Xiaoying Shi, Katherine Calvin (Unlicensed)
3.Group	Land
4.Experiment
5.Poster Category	Early Result, Future Direction
6.Submission Type	Poster
7.Poster Link	Bond-Lamberty HD uncertainty
8.Lightning Talk Slide

Abstract

The previous Integrated Earth System Model (iESM, Collins et al., 2015) project linked an Earth System Model (CESM) with GCAM, an integrated assessment (human systems) model. It found that climate feedbacks on the terrestrial system increased ecosystem productivity, resulting in declines in cropland extent and increases in bioenergy production and forest cover. Similarly, ACME includes experiments to understand interactions between climate and human systems in both the carbon and water cycles. It remains unclear, however, how dependent these older iESM results are on the particular land surface model coupled to GCAM. Here we use a one-way coupling to examine how sensitive GCAM outputs are to the choice of driving model. This allows us to both quantify and decompose the variability in GCAM outputs across a wide range of ESM conditions.