ACME V1 BGC Experiments: rightsizing to fit compute

ACME V1 BGC Experiments: rightsizing to fit compute

ACME V1 BGC Experiments: rightsizing to fit compute allocation Peter Thornton, Bill Riley, and the BGC Experiment Team Science question: What effect does the global phosphorus cycle have on climate-biogeochemistry feedbacks? Primary motivation: Improved prediction of future GHG concentrations and associated climate change Fossil Fuel Emissions & LULCC Atm CO2

Climate (T, P, q, rad) CO2 concentration feedbacks, land and ocean Ocean carbon O Fossil Fuel Emissions

Atm CO2 L Land carbon Climate (T, P, q, rad) Climate carbon feedbacks, land and ocean

Ocean carbon O O Fossil Fuel Emissions Atm CO2 L L Land carbon

Climate (T, P, q, rad) Major climate-carbon and climate-ecosystem feedbacks Ocean carbon O O Fossil Fuel Emissions

Atm CO2 L L Land carbon Climate (T, P, q, rad) Human feedbacks Ocean carbon

O O Fossil Fuel Emissions Atm CO2 L L Society Land use / land cover change Land

carbon Climate (T, P, q, rad) Nitrogen cycle Carbon cycle Atm CO2 photosynthesis Internal (fast) External (slow)

denitrification N deposition Plant assimilation respiration litterfall & mortality Litter / CWD Soil Mineral N decomposition mineralization Soil Organic Matter

Thornton et al., 2009 N leaching N fixation Predicted patterns of plant growth depend on soil type and phosphorus availability, especially in the tropics C and N C, N, and P Results from Yang et al., 2016 Adding phosphorus (land model)

Schematic of the ALMv1-ECA-CNP model (based on Tang et al. 2013; Ghimire et al. 2016a,b; Tang and Riley 2016a,b; Zhu et al. 2015,2016a,b,c) ALM-CTC-CNP Model Structure Phosphorus cycle is also represented in ALM v1 by the ALMv1-CTC-CNP model, based on Yang and Post, 2011; Yang et al., 2013; Yang et al., 2014; Yang et al., 2016; Thornton et al., 2002, Thornton and Rosenbloom, 2005; Thornton et al., 2007;

Thornton et al., 2009. One key difference between the two model implementations is the treatment of competition among plants, microbes, and mineral surface binding sites for available nutrients (N and P). V1 BGC: Experimental design Work as much as possible with the fully coupled system Including land and ocean BGC components Perform experiments that can put the new CNP models in the context of previous feedbacks studies based on C-only and CN models

Computational constraints The fully coupled model, with ocean and land BGC active, has the following performance profile: SYPD: 5+ on Titan, 5+ on Cori Phase 1, 10+ on Edison 30K (Edison) to 80K (Titan) core-hours per simulated year ALCC 2017 proposal was written to service the operational demands of the ACME v1 BGC experiment. Broke experiment into 3 priority blocks, so that de-scoping would be simpler if the proposal was successful but with a reduced allocation Final allocation was 60M core hours, about 2x less than our Priority 1 block of simulations further de-scoping needed.

Based on discussion at this all-hands meeting: New scope for ACME v1 BGC Experiments Perform on CNP experiments, not CN or C-only Experiments to quantify beta and gamma for land and ocean, but not experiments to quantify interactions of beta and gamma. Only have the ocean BGC active for a subset of the experiments Ocean BGC about doubles the cost of the coupled model Using one, not both, of the land BGC components (ALMv1-ECACNP) Focus on a single forcing scenario (SSP5-85) Have a set of Priority 2 experiments ready, in case we have additional time Priority 2 ACME v1 BGC experiments

Emissions-forced experiment(s) Evaluation of alternative feedbacks calculation methods Long-term simulations (out to 2300) Offline (land-only) simulations to explore some of the beta-gamma interactions, and other topics that got dropped from the original experiment plan. Organization: Coupled BGC team being formed Team Lead: Susannah Burroughs (PNNL) Science points of contact: Qing Zhu (LBNL), Xiaojuan

Yang (ORNL), Nicole Jeffery (LANL) Weekly coordination telecon Monthly science talk

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