Hereinafter referred to as the ccsm consortium phil jones lanl on behalf of all the consorts
Download
1 / 28

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


  • 111 Views
  • Uploaded on

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.

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about ' Hereinafter referred to as the CCSM Consortium Phil Jones (LANL) On behalf of all the consorts' - zora


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
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


The SciDAC CCSM Consortium consists of CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)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 SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Climate change
Climate Change CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Science goals
Science Goals CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

Many century-scale simulations (>2500yrs)

@~5yrs/day

Cycle vampires:

Many dedicated cycles at computer centers


Performance portability
Performance Portability CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Rapid climate change
Rapid Climate Change CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Thc crisis center
THC Crisis Center CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Polar and thc
Polar and THC CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Hypop
HYPOP CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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


CICE CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

Kentucky

Mississipi State

Oklahoma State

Stanford


Atmosphere land
Atmosphere/Land CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Resolution and precipitation
Resolution and Precipitation CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

(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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • Reproduces orographic signature without increasing dynamic resolution

  • Realisitic precipitation, snowcover, runoff

  • Month of March simulated with CCSM


Eddy resolving ocean
Eddy-Resolving Ocean CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

Obs

2 deg

0.28 deg

0.1 deg


Greenhouse gases
Greenhouse Gases CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • Energy production

  • Bovine flatulence

  • Presidential campaigning

  • Source-based scenarios


Aerosol uncertainty
Aerosol Uncertainty CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)


Atmospheric chemistry
Atmospheric Chemistry CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • 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 CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

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… CLIMATE SYSTEM MODEL FOR TERASCALE COMPUTING (CDDCCSMTC)

  • Software engineering

  • Other model improvements

    • fvcore work

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

  • Ocean grid/topography generator

  • Parallel I/O work

  • ESG

  • Now how much would you pay? You also get…


ad