Marine Trace Gas Simulations in COSIMMarine Trace Gas Simulations in COSIM

Los Alamos National Laboratory The Climate Ocean and Sea Ice Model The Climate Ocean and Sea Ice Model (COSIM) project(COSIM) project

Computational, Theoretical and Computational, Theoretical and Environmental Science DivisionsEnvironmental Science Divisions

Scott Elliott, Mathew Maltrud, Shaoping Chu and Carrie DeanThe Climate Ocean Sea Ice Model team, Los Alamos National Laboratory

David Erickson, Climate and Carbon Research Institute, Oak Ridge National Laboratory

Collaborators: NCAR, Other DOE Laboratories, Members of NOPP Paradigm, University of California and Maine, MBARI

Sponsors: U.S. Department of Energy Scientific Discovery through Advanced Computing (SCIDAC) and Climate Change Prediction Program (CCPP), National Ocean Partnership Program (NOPP), University of California President’s Office, Los Alamos LDRD

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Tasked to add a modular simulator for multiple climate relevant volatiles

Initial tests on demonstration mechanisms for DMS(P), MeBr, N2O, propylene

Runs alongside DML and adopts POP 2 structure

Sulfur cycle focus of early coupling to CCSM atmosphere in CAM

Mechanism since refined through plant subclassification and cell internal regulation

Next step for the module is attachment of complete set of aerosol and ozone influencers

Hence CO photochemistry in development, NMHC fluxes evaluated for oxidant influence

Simple N2O and CH4 runs have been extended to 100 years

Recurring themes: microbial ecology, unification and automation

TRACE GAS MODULE

2

CCSM

POP

Code Samples:s_dms_small =s_dms_diat =s_dms = r_dms_bac =r_dms_phot =r_dms = t_dms =

Land

CAM

k Block(:,:,tracer)

1 (Vector, long)(Cache, short)2

3

4

…

Processor

VolatilesEcologyOther

Performance, Portability, Transparency

Diatoms

Phyto Resolution and S Regulation

kSRS,i

Transfer Algorithm

jPAR(DMS)

kSRS,zoo

Food item weighted kBNB, NB=f(NP

n)

Other

Cocco

Cyano

DMS

DMSPSmall(with

Cocco)

Diazos

Diatoms

Diazos

Phaeo

Zoo Bacteria

(C/N classes) S classes

DMSO etc.

New bins blue, pathwaysdashed

Blue terms subjectto scaling and cryo-,osmo- or grazingregulation functions

Clockwise from upper left: all Rs=0.1, diats 0.01, Kettle climatology, small noncoccos 0.01.Optimization +/-30o, 2nd order bacterial sink, PAR photochemical proportionality

UV portion of short wave rises 2X from 30 to 60 degrees

Biogeographic View of the Surface Sea

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

Regional Fluxes, 10-17 Mole/cm2s

Province SeasonTotalC Flux C flux by compound

PEQD OND 554 Ethene (285), Propene (211), Propane (25),Butanes (18), Ethane (15)

NATR AMJ/JAS/OND 436 Ethene (156), Ethane (148), Propene (91),Propane (39),Acetylene (1.3), Butanes (0.93)

SPSG OND 301 Ethene (132), Propene (113), Acetylene (31),Propane (13), Ethane (7.6), Butanes (4.7)

PNEC AMJ/OND 241 Ethene (153), Propene (71), Butanes (4.0),Propane (8.7), Ethane (4.1)

SANT OND 241 Ethene (137), Propene (67), Propane (23), Ethane(14), Butanes (-0.04)

NPTG AMJ/OND 213 Ethene (98), Propene (55), Acetylene (37),Propane (8.8), Ethane (7.5), Butanes (7.1)

WTRA JAS/OND 172 Ethene (76), Propene (47), Ethane (37), Propane(16), Acetylene (1.0)

NAST AMJ/JAS/OND 138 Ethene (65), Ethane (33), Propene (29), Propane(11), Acetylene (0.42), Butanes (-0.04)

NADR AMJ 98 Ethene (89), Propene (7.1), Ethane (-0.5), Propane (2.1),Butanes (-0.07)

ANTA OND 42 Ethene (22), Propene (12), Propane (4.2), Ethane(3.5), Butanes (-0.01)

SATL JAS/OND 11 Ethene (5.9), Propene (3.6), Ethane (1.1), Propane (0.44), Ethyne (0.23)

QuickTime™ and aTIFF (LZW) decompressorare needed to see this picture.

Install switches within a DMS/CO/NMHC suite

N cycle now topical, return to N2O to address de- and nitrification yields

Methane now produced in POP open ocean by archaeans, must expand to shelf zone

Other tractable compounds include OCS, H2S, NH3, isoprene, organohalogens

Aim at SOLAS relevance and entrain external experts

Continuing themes: atom/energy conservation, microbial and general complexity

Automated, unified and conservative biogeochemical preprocessing needed

Work through composition of cell classes, stoichiometries of metabolism, from the genome

Employ set theory/logic, relational data base, object orientation and CASE principles

TRACE GAS FUTURES

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Key: Red-Rs 0.1, dark and light blue-diatoms and noncoccos low.Black is Kettle, note constant R only adequate in tropics and subtropics

Concentration Sections, +/- 30 Degree Optimization 2ndPAR

Resolution/Regulation Test Strategy

All values are round DMS nM. CCSM(DML) carbon lumps small phytoplanktonexcluding the coccolithophores, which are few. Tracegas_Mod now segregatescyanophytes (low S) and phaeocystis (high S). Reductions 40-50 S are assigned to cryo/grazing protection or osmoregulation. Eukar signifies pico/nano non-bacterial plants as defined in Gregg et al. 2003..

331111100S Regulation

331133100Laboratory Rs

Diat

Eukar

Eukar

Cyano

Cyano

Eukar

Cyano

Eukar

Diat

Eukar

Diat

Eukar

Phaeo

Diat

Phaeo

Diat

Tracegas_Mod

33333330Scale by 3

11111110Laboratory Rs

33113310Single Rs

Smalls

Diat

SmallsSmallsSmalls

Diat

Smalls

Diat

Smalls

Diat

Smalls

Diat

Smalls

Diat

CCSM species

3311111010Kettle Pacific

0S10S20S30S40S50S60S70SLatitude

Scale factor is the product of unspecified simultaneous increases indisruption rate and maximum average intracellular DMSP

Key: Color- Scale factors 4 and 5Black is Kettle -note that a single set of plant S/N is now sufficient

Concentration Sections, Cyano/Cryo/Phaeo Sulfur Cycle

Tropical UV %, constant bacterial uptake, PMEL in black

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Addition of Q10 dependence

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CO consuming specialists computed under grazing control

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Global CO Distribution, T:2 is month, T8CO is blue tracer25