development of a regional arctic climate system model (racm)

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John J. Cassano - University of Colorado Wieslaw Maslowski -Naval Postgraduate School William Gutowski - Iowa State University Dennis Lettenmaier – University of Washington Mark W. Seefeldt – University of

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Development of a Regional Arctic Climate System Model (RACM). John J. Cassano - University of Colorado Wieslaw Maslowski -Naval Postgraduate School William Gutowski - Iowa State University Dennis Lettenmaier – University of Washington Mark W. Seefeldt – University of Colorado - PowerPoint PPT Presentation

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Page 1: Development of a Regional Arctic Climate System Model (RACM)

John J. Cassano - University of ColoradoWieslaw Maslowski -Naval Postgraduate School

William Gutowski - Iowa State UniversityDennis Lettenmaier – University of Washington

Mark W. Seefeldt – University of ColoradoJuanxiong He – University of Alaska – Fairbanks

Page 2: Development of a Regional Arctic Climate System Model (RACM)
Page 3: Development of a Regional Arctic Climate System Model (RACM)

Coupling of VIC and CPL7

• Led by Dennis Lettenmaier and Chunmei Zhu with Tony Craig

• Currently have VIC coupled to CPL7• Have completed experiments with VIC

coupled to CAM for global domain• Next step is to resolve issues with regional

domain for VIC / atmosphere simulations

Page 4: Development of a Regional Arctic Climate System Model (RACM)

Coupling of WRF and CPL7

• Led by Juanxiong He with contributions from Greg Newby, Tony Craig, and Mark Seefeldt

• Minimize changes to WRF and CPL7• Add new surface routine to WRF to accept

fluxes from CPL7• Currently WRF/CPL7 working in global and

regional domain configurations• Next step is to implement regional domain

coupling with all other component models

Page 5: Development of a Regional Arctic Climate System Model (RACM)

Coupling of WRF and CPL7• Variables passed from WRF to

CPL7– PBL height– Zonal and meridional wind– Surface pressure, SLP– Potential temperature– Density– Humidity– SWD (NIR and Visible, direct and

diffuse)– LWD– Convective and large scale precip,

snow

• Variables passed to WRF from CPL7– Sensible heat– Latent heat– Zonal and meridional wind

stress– LWU– Albedo (NIR and VIS, direct and

diffuse)– Tsfc, T2m, q2m– SST– Snow depth– Sea ice and land mask

Page 6: Development of a Regional Arctic Climate System Model (RACM)

Sea level Pressure (January)

WRF alone

Coupling

Observation

Page 7: Development of a Regional Arctic Climate System Model (RACM)

Barrow / SHEBA WRF Evaluations• WRF 3.0.1.1 - ARW dynamical core (native WRF code)• Model forcing: ECMWF-TOGA - atmos., ERA40 - sea-ice and soil• Horizontal domains: 1: 50 km (SHEBA-ARCMIP) 2: 10 km• Vertical: 31 levels, 50 mb top• 32-day (31-day) simulations for January , March, May, (June) 1998

• Non-varying physics param.:Land surface: NoahBoundary layer: MYJCumulus: Grell-Devenyi

• Tested: SW-LW-Microphysics

combinationsModel Domains for the WRF

simulations. The red line indicates the track of the

SHEBA ice camp.

Page 8: Development of a Regional Arctic Climate System Model (RACM)

Barrow / SHEBA WRF Evaluations• Goal: identify preferred radiation and microphysics

parameterizations– radiation – 5 combinations (lw-sw): RRTM-Dudhia,

RRTM-Goddard, RRTM-CAM, CAM-Goddard, CAM-CAM– microphysics – 6 schemes:

Lin, WSM5, WSM6, Goddard, Thompson, Morrison• Observations:

– Barrow – Baseline Surface Radiation Network– SHEBA – Surface-Met Tower, Cloud Radiation

• Evaluate: temperature, pressure, shortwave down, longwave down, liquid water path (SHEBA), ice water path (SHEBA)

• Evaluate: over different months: January, March, May, June

• Evaluate: 10 km domain versus 50 km domain

Page 9: Development of a Regional Arctic Climate System Model (RACM)

Shortwave and Longwave Radiation Rankings

• The CAM SW (3) consistently does CAM SW (3) consistently does very well very well with the SW rankings (top 8)

• The Goddard SW (2) does moderate with SW rankings

• The Dudhia SW (1) performs very poorly with the SW sensor

• The CAM LW (3) does well, but not CAM LW (3) does well, but not spectacularspectacular with LW rankings

• The RRTM LW (1) does well when matched with Dudhia SW (1) but not Goddard SW or CAM SW (3)

• The CAM-CAM (3-3) radiation The CAM-CAM (3-3) radiation combination provides the best combination provides the best resultsresults

Page 10: Development of a Regional Arctic Climate System Model (RACM)

WRF Pan-Arctic Simulations• WRF 3.1 - ARW dynamical core (native WRF code)• Model forcing: NCEP2• Horizontal domains: 50 km (wr50a)• Vertical: 31 levels, 50 mb top• 31-day simulations for January 1998• Physics

parameterizations:Longwave Rad.: CAM (3)Shortwave Rad.: CAM (3)Microphysics:Goddard (7)Cumulus: G-D (3)Boundary Layer: MYJ (2) Land surface: Noah (3)

Page 11: Development of a Regional Arctic Climate System Model (RACM)

WRF Pan-Arctic Simulations – 2-m Temperature Bias

Page 12: Development of a Regional Arctic Climate System Model (RACM)

Next StepsNext Steps• Finalize component model / CPL7 couplingFinalize component model / CPL7 coupling• Extended pan-Arctic simulation, stand-alone WRFExtended pan-Arctic simulation, stand-alone WRF• Fully coupled simulationsFully coupled simulations

• Evaluation of fully coupled modelEvaluation of fully coupled model• Multi-decadal simulationsMulti-decadal simulations

– RetrospectiveRetrospective– Future climateFuture climate

• Long-term goalsLong-term goals– Regional simulations for next IPCC reportRegional simulations for next IPCC report– Additional climate system componentsAdditional climate system components

• Ice sheetsIce sheets• BiogeochemistryBiogeochemistry