ROMS as a Component of the Community Climate System Model (CCSM) Enrique Curchitser, IMCS/Rutgers Kate Hedstrom, ARSC/UAF Bill Large, Mariana Vertenstein,

Slides:



Advertisements
Similar presentations
An atmosphere-ocean coupled regional climate model for the Mediterranean Alberto Elizalde Daniela Jacob Uwe Mikolajewicz Max Planck Institute for Meterology.
Advertisements

Basics of numerical oceanic and coupled modelling Antonio Navarra Istituto Nazionale di Geofisica e Vulcanologia Italy Simon Mason Scripps Institution.
Department of Physics /Victoria Sinclair Structure and force balance of idealised cold.
Coastal Downscaling: Can CESM fields successfully force regional coastal ocean simulations with strong freshwater forcing? (YES) Parker MacCready (U. of.
Assimilation of Sea Surface Temperature into a Northwest Pacific Ocean Model using an Ensemble Kalman Filter B.-J. Choi Kunsan National University, Korea.
Modeling circulation and ice in the Chukchi and Beaufort Seas
Dynamical Downscaling of CCSM Using WRF Yang Gao 1, Joshua S. Fu 1, Yun-Fat Lam 1, John Drake 1, Kate Evans 2 1 University of Tennessee, USA 2 Oak Ridge.
Dale Haidvogel Institute of Marine and Coastal Sciences Coupled Basin- to Regional-Scale Ocean Modeling as Developed in the U.S. GLOBEC Program Dale Haidvogel.
Dale Haidvogel Institute of Marine and Coastal Sciences Putting the “Globe” into U.S. GLOBEC New Models and Methods in Support of Integrated Climate Research.
- How does the coupled modeling system work
Ocean-atmosphere simulations of the Eastern Mediterranean using COAMPS TM /NCOM Objectives  Simulate Mediterranean and subregional (e.g., Adriatic and.
Indirect Determination of Surface Heat Fluxes in the Northern Adriatic Sea via the Heat Budget R. P. Signell, A. Russo, J. W. Book, S. Carniel, J. Chiggiato,
The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu Department of Atmospheric Science University of Washington.
The NCEP operational Climate Forecast System : configuration, products, and plan for the future Hua-Lu Pan Environmental Modeling Center NCEP.
2005 ROMS Users Meeting Monday, October 24, 2005 Coupled sea-ice/ocean numerical simulations of the Bering Sea for the period 1996-present Enrique Curchitser.
Determining the Local Implications of Global Warming Professor Clifford Mass, Eric Salathe, Patrick Zahn, Richard Steed University of Washington.
Diurnal circulations in Southern California Mimi Hughes and Alex Hall.
Departamento de Física
Coupling ROMS and WRF using MCT
The first 2 terms on the RHS are nonlinear terms in the bias. The group labeled THF are transient heat advection bias. Q^ is the bias in diabatic heating.
Overview of ROMS features (numerics and boundary layer parameterizations) ROMS developments: boundary layers, data assimilation, nesting, Prototype model.
A Regional Ice-Ocean Simulation Of the Barents and Kara Seas W. Paul Budgell Institute of Marine Research and Bjerknes Centre for Climate Research Bergen,
WRF-VIC: The Flux Coupling Approach L. Ruby Leung Pacific Northwest National Laboratory BioEarth Project Kickoff Meeting April 11-12, 2011 Pullman, WA.
Extratropical Storm-Induced Coastal Inundation: Scituate, MA Robert C. Beardsley 1, Changsheng Chen 2, Qichun Xu 2, Jianhua Qi 2, Huichan Lin 2 2 School.
Configuring ROMS for South of Java Kate Hedstrom, ARSC/UAF October, 2007.
Bruyere Model Setup RPSEA 0310 Model Set-up and Nesting Approach Cindy Bruyère NCAR Earth System Laboratory National Center for Atmospheric Research NCAR.
NSF NCAR | NASA GSFC | DOE LANL ANL | NOAA NCEP GFDL | MIT Adoption and field tests of M.I.T General Circulation Model (MITgcm) with ESMF Chris Hill ESMF.
NSF NCAR | NASA GSFC | DOE LANL ANL | NOAA NCEP GFDL | MIT | U MICH First Field Tests of ESMF GMAO Seasonal Forecast NCAR/LANL CCSM NCEP.
Simulation of Seasonal and Interannual Variability in the Caspian Sea W. Paul Budgell Dept. of Physics and Physical Oceanography, Memorial University of.
Willem A. Landman Asmerom Beraki Francois Engelbrecht Stephanie Landman Supercomputing for weather and climate modelling: convenience or necessity.
+ Best Practices in Regional Climate Modeling Dr. Michel d. S. Mesquita Bjerknes Centre for Climate Research, Uni Research
CESM/RACM/RASM Update May 15, Since Nov, 2011 ccsm4_0_racm28:racm29:racm30 – vic parallelization – vic netcdf files – vic coupling mods and “273.15”
Climate Variability and Change in the U.S. GLOBEC Regions as Simulated by the IPCC Climate Models: Ecosystem Implications PIs: Antonietta Capotondi, University.
Sergio deRada John Kindle (Ret) Igor Shulman Stephanie Anderson Ocean Sciences Meeting Orlando, FL March 5, 2008.
Collaborative Research: Toward reanalysis of the Arctic Climate System—sea ice and ocean reconstruction with data assimilation Synthesis of Arctic System.
Preliminary Results of Global Climate Simulations With a High- Resolution Atmospheric Model P. B. Duffy, B. Govindasamy, J. Milovich, K. Taylor, S. Thompson,
CCSM Simulations w/CORE Forcing Some preliminary results and a discussion of dataset issues Marika Holland With much input from Bill Large Steve Yeager.
Dale haidvogel Nested Modeling Studies on the Northeast U.S. Continental Shelves Dale B. Haidvogel John Wilkin, Katja Fennel, Hernan.
Downscaling Future Climate Scenarios for the North Sea 2006 ROMS/TOMS Workshop, Alcalá de Henares, 6-8 November Bjørn Ådlandsvik Institute of Marine Research.
Nested models of the Southland Current Mark Hadfield National Institute of Water & Atmospheric Research, Wellington, NZ.
Regional Models in CCSM CCSM/POP/ROMS: Regional Nesting and Coupling Jon Wolfe (CSEG) Mariana Vertenstein (CSEG) Don Stark (ESMF)
Petascale –LLNL Appro AMD: 9K processors [today] –TJ Watson Blue Gene/L: 40K processors [today] –NY Blue Gene/L: 32K processors –ORNL Cray XT3/4 : 44K.
Nested Models: A Synthesis Tool Tom (Zack) Powell, UC Berkeley U. S. GLOBEC Pan-Regional Synthesis Meeting Nov, Boulder, CO.
Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 3rd.
ROMS in Alaska Waters Kate Hedstrom, ARSC/UAF Enrique Curchitser, IMCS/Rutgers August, 2007.
A Portable Regional Weather and Climate Downscaling System Using GEOS-5, LIS-6, WRF, and the NASA Workflow Tool Eric M. Kemp 1,2 and W. M. Putman 1, J.
Towards development of a Regional Arctic Climate System Model --- Coupling WRF with the Variable Infiltration Capacity land model via a flux coupler Chunmei.
CCSM Performance, Successes and Challenges Tony Craig NCAR RIST Meeting March 12-14, 2002 Boulder, Colorado, USA.
Experience with ROMS for Downscaling IPCC Climate Models 2008 ROMS/TOMS European Workshop, Grenoble, 6-8 October Bjørn Ådlandsvik, Paul Budgell, Vidar.
On the Road to a Sequential CCSM Robert Jacob, Argonne National Laboratory Including work by: Mariana Vertenstein (NCAR), Ray Loy (ANL), Tony Craig (NCAR)
An Overview of ROMS Code Kate Hedstrom, ARSC April 2007.
Report on POP & CICE of RACM components Jaromir Jakacki, IO PAS.
Report on POP & CICE of RACM components Jaromir Jakacki, IO PAS Boulder, CO, 2010.
ARSC/IARC Report DOD/RACM Workshop, December Juanxiong He 1,2 Greg Newby 1 1. Arctic Region Supercomputing Center 2. International Arctic Research.
Ocean Climate Simulations with Uncoupled HYCOM and Fully Coupled CCSM3/HYCOM Jianjun Yin and Eric Chassignet Center for Ocean-Atmospheric Prediction Studies.
Tolman, Jan. 15, NCEP 1/17 Ocean modeling at NCEP Hendrik L. Tolman NOAA / NWS / NCEP / EMC Marine Modeling and Analysis Branch
A TIME-GCM CAM Multi-executable Coupled Model Using ESMF and InterComm Robert Oehmke, Michael Wiltberger, Alan Sussman, Wenbin Wang, and Norman Lo.
Do we / why do we want to develop an ASM? Climate working group for WRF – workshop on model developments for climate studies with WRF (summary of.
THE BC SHELF ROMS MODEL THE BC SHELF ROMS MODEL Diane Masson, Isaak Fain, Mike Foreman Institute of Ocean Sciences Fisheries and Oceans, Canada The Canadian.
Coupled HYCOM in CESM and ESPC Alexandra Bozec, Eric P. Chassignet.
ESSL Holland, CCSM Workshop 0606 Predicting the Earth System Across Scales: Both Ways Summary:Rationale Approach and Current Focus Improved Simulation.
Development of the Regional Arctic Climate System Model (RACM) --- Department of Civil and Environmental Engineering University of Washington May, 2010.
IC2_I Scenarios of future changes in the occurrence of extreme storm surges Nilima Natoo A. Paul, M. Schulz (University of Bremen) M.
Coupling ROMS and CSIM in the Okhotsk Sea Rebecca Zanzig University of Washington November 7, 2006.
ROMS Framework: Kernel
Coupled atmosphere-ocean simulation on hurricane forecast
Regional and Global Ramifications of Boundary Current Upwelling
Performance of the VIC land surface model in coupled simulations
WRF-GC: on-line two-way coupling of WRF and GEOS-Chem
What is a Climate Model?.
Presentation transcript:

ROMS as a Component of the Community Climate System Model (CCSM) Enrique Curchitser, IMCS/Rutgers Kate Hedstrom, ARSC/UAF Bill Large, Mariana Vertenstein, Don Stark, and Jon Wolfe, NCAR October, 2007

Climate Model Biases

The Regional Setup

SST, August 18, 2000

Need to downscale atmosphere as well! ~ 200 km forcing (CORE) 9+27 km forcing COAMPS

NEP Implementation 10 km average horizontal resolution Run10: –42 vertical layers –Coupled sea ice and ocean –Six-hourly fluxes from Common Ocean-ice Reference Experiments (CORE) reanalysis –IC’s and BC’s from CCSM (POP) forced by CORE –

Evaluation of Latest Simulation We are much happier with the heat fluxes from CORE than from NCEP Ice area seems quite realistic Still could do better: –Not enough fresh water input at the coast –Stratification in general isn’t quite right, will perhaps be improved by tidal mixing, different IC/BC –We want a shallower minimum depth We also need to add an ecosystem model for GLOBEC

Ice Area and Volume

CCSM Coupling Thanks to the CORE group’s products, we no longer need to run the large NPAC domain (proof of one-way coupling) The CCSM model does fine for its resolution, but fails in regions needing more resolution The idea is to couple ROMS to CCSM, where ROMS is part of a “composite ocean” providing a better sea surface temperature to the atmosphere

CCSM

Standalone ROMS (ocean.h) #include “cppdefs.h” PROGRAM ocean USE … #ifdef MPI CALL mpi_init CALL mpi_comm_rank(…) #endif CALL initialize CALL run CALL finalize #ifdef MPI CALL mpi_finalize #endif END PROGRAM ocean

Standalone ROMS (nl_ocean.h) Included by ocean_control.F Contains initialize, run, finalize for the nonlinear ocean model Run calls main3d or main2d inside the timestepping loop Calls get_data which reads files (both in initialize and in run)

Coupled Mode Composite ocean knows input filename, NtileI, NtileJ, dt, and ntimes Two phase ROMS initialization, first calls inp_par, second calls get_data get_data copies fields from CAM run is called each coupling interval

CCSM Strategy The coupling interval is one day, with the atmosphere running ahead The composite ocean will receive hourly winds, etc. and interpolate to ROMS grid(s) POP runs for that day, sends “curtains” out for ROMS nests ROMS runs for that day Composite ocean merges SST from POP and ROMS for CAM

Concurrent Execution Ice From Dan Schaffer

Sequential Execution Ice From Dan Schaffer

CCSM is now concurrent, with differing numbers of processors for each of the components An effort is underway to make it sequential, for the IBM Blue Gene and other such computers The ROMS coupling strategy described is more sequential

Patches More than one simultaneous patch Can now handle through Ngrids feature Trouble: –Southern ocean (ICE and ICE_SHELVES) –Bering (ICE, TIDES, and ECOSYSTEM 1) –Peru (ECOSYSTEM 2) What to do?

Conclusions We are excited about this opportunity to work with the CCSM group A similar effort is underway to add WRF as a regional atmospheric model Very much a work in progress, still to be done: –POP “curtains” to ROMS –SST back to composite ocean –Changing to CCSM bulk_flux algorithm