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COLLABORATIVE DESIGN AND DEVELOPMENT OF THE COMMUNITY CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC). Hereinafter referred to as the CCSM Consortium Phil Jones (LANL) On behalf of all the consorts.

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Hereinafter referred to as the CCSM Consortium Phil Jones (LANL) On behalf of all the consorts

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Hereinafter referred to as the ccsm consortium phil jones lanl on behalf of all the consorts

COLLABORATIVE DESIGN AND DEVELOPMENT OF THE COMMUNITY CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

Hereinafter referred to as the CCSM Consortium

Phil Jones (LANL)

On behalf of all the consorts


Hereinafter referred to as the ccsm consortium phil jones lanl on behalf of all the consorts

The SciDAC CCSM Consortium consists of PI: R. Malone4, J. Drake5 , Site-Contacts: C. Ding2, S. Ghan6, D. Rotman3, J. Taylor1, J. Kiehl7, W. Washington7, S.-J. Lin8, Co-Is: J. Baumgardner4, T. Bettge7, L. Buja7, S. Chu4, T. Craig7, P. Duffy3, J. Dukowicz4, S. Elliot4, D. Erickson5, M. Ham5, Y. He2, F. Hoffman5, E. Hunke4, R. Jacob1, P. Jones4, J. Larson1, J. Lamarque7, W. Lipscomb4, M. Maltrud4, D. McKenna7, A. Mirin3, W. Putman8, W. Sawyer8, J. Schramm7, T. Shippert6, R. Smith4, P. Worley5, W. Yang2

1Argonne National Lab, 2Lawrence Berkeley National Lab, 3Lawrence Livermore National Lab, 4Los Alamos National Lab, 5Oak Ridge National Lab, 6Pacific Northwest National Lab, 7National Center for Atmospheric Research, 8NASA-Goddard Space Flight Center


Climate system

Climate System


Climate change

Climate Change


Science goals

Science Goals

  • Assessment and prediction

    • IPCC, national assessments (alarmist fearmongering)

    • Energy policy (Dick Cheney’s private sessions)

  • Regional climate prediction

    • High resolution, downscaling, water!

  • Atmospheric chemistry/ocean biogeochemistry

    • Carbon cycle

    • Aerosols


Project goals

Project Goals

  • Software

    • Performance portability

    • Software engineering (repositories, standardized testing – No Code Left Behind initiative)

  • Model Development

    • Better algorithms

    • New physical processes (esp. chemistry, biogeochemistry)


Community climate system model

Community Climate System Model

Land

LSM/CLM

Atmosphere

CAM

NSF/DOE

270 Participants

7 States

10 Fluxes

6 States

6 Fluxes

Once

hour

per

per

Flux Coupler

hour

Once

6 States

6 Fluxes

7 States

9 Fluxes

4 States

3 Fluxes

6 States

13 Fluxes

day

per

Once

per

Once

hour

6 Fluxes

11 States

10 Fluxes

Ocean

POP

Ice

CICE/CSIM


Coupler architecture

Coupler Architecture

  • Issues:

  • sequencing

  • frequency

  • distribution

  • parallelism

  • single or multiple

  • executables

  • stand alone execution

  • MPH3 (multi-processor handshaking) library for coupling component models

  • CPL6 -- Implemented, Tested, Deployed

  • ESMF/CCA

Version 1.0 Released

November 2002


Prediction and assessment

Prediction and Assessment

Many century-scale simulations (>2500yrs)

@~5yrs/day

Cycle vampires:

Many dedicated cycles at computer centers


Performance portability

Performance Portability

  • Vectorization

    • POP easy (forefront of retro fashion)

    • CAM, CICE, CLM

  • Blocked/chunked decomposition

    • Sized for vector/cache

    • Load balanced distribution of blocks/chunks

    • Hybrid MPI/OpenMP

    • Land elimination

  • Performance modeling w/PERC


Performance

Performance


Rapid climate change

Rapid Climate Change


Thc crisis center

THC Crisis Center


Polar and thc

Polar and THC


Hypop

HYPOP

  • Arbitrary Lagrangian-Eulerian vertical coordinate

    • Keep Lagrangian in deep ocean

    • Remap to z-coordinate in mixed layer

    • CSU SciDAC

  • New time stepping/mode splitting

  • Progress

    • Model currently working in z-coord mode

    • Examining vertical grid generators

    • Testing


Hereinafter referred to as the ccsm consortium phil jones lanl on behalf of all the consorts

CICE

  • Incremental Remapping for Sea Ice and Ocean Transport

    • Incremental remapping scheme that proved to be three times faster than MPDATA, total model speedup of about 30% --added to CCSM/CSIM

    • CICE3.0 restructered for vector Community Sea Ice Model

  • Sensitivity analysis and parameter tuning test of the CICE code

    • Automatic Differentiation (AD)-generated derivative code


Regional prediction

Regional Prediction

Kentucky

Mississipi State

Oklahoma State

Stanford


Atmosphere land

Atmosphere/Land


Resolution and precipitation

Resolution and Precipitation

(DJF) precipitation in the California region in 5 simulations, plus observations. The 5 simulations are: CCM3 at T42 (300 km), CCM3 at T85 (150 km) , CCM3 at T170 (75 km), CCM3 at T239 (50 km), and CAM2 with FV dycore at 0.4 x 0.5 deg.

CCM3 extreme precipitation events depend on model resolution. Here we are using as a measure of extreme precipitation events the 99th percentile daily precipitation amount. Increasing resolution helps the CCM3 reproduce this measure of extreme daily precipitation events.


Subgrid orography scheme

Subgrid Orography Scheme

  • Reproduces orographic signature without increasing dynamic resolution

  • Realisitic precipitation, snowcover, runoff

  • Month of March simulated with CCSM


Eddy resolving ocean

Eddy-Resolving Ocean

Obs

2 deg

0.28 deg

0.1 deg


Greenhouse gases

Greenhouse Gases

  • Energy production

  • Bovine flatulence

  • Presidential campaigning

  • Source-based scenarios


Aerosol uncertainty

Aerosol Uncertainty


Atmospheric chemistry

Atmospheric Chemistry

  • Gas-phase chemistry with emissions, deposition, transport and photo-chemical reactions for 89 species.

  • Experiments performed with 4x5 degree Fvcore – ozone concentration at 800hPa for selected stations (ppmv)

  • Mechanism development with IMPACT

    • A)    Small mechanism (TS4), using the ozone field it generates for photolysis rates.

    • B)     Small mechanism (TS4), using an ozone climatology for photolysis rates.

    • C)    Full mechanism (TS2), using the ozone field it generates for photolysis rates.

Zonal mean

Ozone, Ratio A/C

Zonal mean

Ozone, Ratio B/C


Ocean biogeochemistry

Ocean Biogeochemistry

  • LANL Ecosystem Model

    • nutrients (nitrate, ammonium, iron, silicate)

    • phytoplankton (small, diatom, coccolithophores)

    • zooplankton

    • bacteria, dissolved organic material, detritus

    • dissolved inorganic carbon (DIC), alkalinity

    • trace gases (dimethyl sulfide, carbonyl sulfide, methyl halides and nonmethane hydrocarbons)

    • elemental cyclings (C,N,Fe,Si,S)


Ocean biogeochemistry1

Ocean Biogeochemistry

  • Iron Enrichment in the Parallel Ocean Program

  • Surface chlorophyll distributions in POP

  • for 1996 La Niña and 1997 El Niño


Global dms flux from the ocean using pop

Global DMS Flux from the Ocean using POP

The global flux of DMS from the ocean to the atmosphere is shown as an annual mean. The globally integrated flux of DMS from the ocean to the atmosphere is 23.8 Tg S yr-1 .


Things not mentioned

Things not mentioned…

  • Software engineering

  • Other model improvements

    • fvcore work

    • land model (river transport, biogeochem, etc.)

  • Ocean grid/topography generator

  • Parallel I/O work

  • ESG

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