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ASM Project Update: Atmospheric Modeling John J. Cassano and Mark W. Seefeldt University of Colorado Cooperative Institute for Research in Environmental Sciences Department of Atmospheric and Oceanic Sciences

ASM Project Update: Atmospheric Modeling

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ASM Project Update: Atmospheric Modeling. John J. Cassano and Mark W. Seefeldt University of Colorado Cooperative Institute for Research in Environmental Sciences Department of Atmospheric and Oceanic Sciences. Goals for Year 1 of DOE Project. Develop and evaluate Polar WRF - PowerPoint PPT Presentation

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Page 1: ASM Project Update: Atmospheric Modeling

ASM Project Update:Atmospheric Modeling

John J. Cassano and Mark W. Seefeldt

University of ColoradoCooperative Institute for Research in Environmental Sciences

Department of Atmospheric and Oceanic Sciences

Page 2: ASM Project Update: Atmospheric Modeling

Goals for Year 1 of DOE Project

• Develop and evaluate Polar WRF– Univ. of Colorado– Sub-contract to Bromwich / Hines - OSU

• Coupling of WRF to CCSM cpl7– Lead by Juanxiong He, UAF

Page 3: ASM Project Update: Atmospheric Modeling

Strategy for Polar WRF Development

• Use lessons from development of Polar MM5• Identify parameterizations that are well-suited for polar

use• Preference for parameterizations that are most physically

realistic• Add “missing” physics• Collaboration with several research groups

– OSU / BPRC– NOAA ESRL– NCAR– University of Colorado

Page 4: ASM Project Update: Atmospheric Modeling

Polar WRF Evaluation• Evaluate over a variety of polar surface types

– Ice sheet (Hines / Bromwich - Greenland)– Sea ice / ocean (Hines / Bromwich and CU - SHEBA)

• Implementation of fractional sea ice treatment (OSU)– Non-ice covered land

• Evaluate atmospheric state• Evaluate atmospheric processes

– Are we getting the right answer for the right reasons?• Initial work at University of Colorado

– Identify parameterizations that are inappropriate for polar use– Identify “ideal” suite of model parameterizations– Identify aspects of model in need of improvement

Page 5: ASM Project Update: Atmospheric Modeling

SHEBA Simulations• Simulations during SHEBA year

– January and June 1998 (CU) - climate mode– January, June, and August 1998 (OSU) - forecast mode

• Model forcing (CU)– ECMWF TOGA

atmospheric data and SST– ERA40 sea ice and

soil state• Model grid (CU)

– 50 km horizontal– 31 vertical levels– Model top: 50 mb

Page 6: ASM Project Update: Atmospheric Modeling

WRF Physics• Land surface: Noah (Thermal diffusion)• Longwave radiation: RRTM• Shortwave radiation: Goddard (Dudhia)• Boundary layer: YSU (MYJ)• Microphysics: Morrison (WSM5)• Cumulus: Kain-Fritsch (Grell-Devenyi)

• Bromwich / Hines have used a slightly different selection of model physics for their Greenland and SHEBA simulations

Page 7: ASM Project Update: Atmospheric Modeling

Shortwave Radiation: Goddard and DudhiaGoddard SW

Dudhia SW

June 1998RRTM LW

WSM5 MP

KF CU

YSU PBL

Noah LSM

Page 8: ASM Project Update: Atmospheric Modeling

Land surface: Noah LSM and thermal diffusionNoah LSM

Thermal diffusion model

January 1998Dudhia SW

RRTM LW

WSM5 MP

KF CU

YSU PBL

Page 9: ASM Project Update: Atmospheric Modeling

Cumulus: Kain-Fritsch and Grell-DevenyiKain-Fritsch

Grell-Devenyi

June 1998Goddard

RRTM LW

Morrison MP

MYJ PBL

Noah LSM

Page 10: ASM Project Update: Atmospheric Modeling

Cumulus: Kain-Fritsch and Grell-DevenyiKain-Fritsch

Grell-Devenyi

June 1998Goddard

RRTM LW

Morrison MP

MYJ PBL

Noah LSM

Page 11: ASM Project Update: Atmospheric Modeling

Cumulus: Kain-Fritsch and Grell-DevenyiKain-Fritsch

Grell-Devenyi

June 1998Goddard

RRTM LW

Morrison MP

MYJ PBL

Noah LSM

Page 12: ASM Project Update: Atmospheric Modeling

Boundary Layer: YSU and MYJYSU

MYJ

January 1998Goddard

RRTM LW

Morrison MP

KF CU

Noah LSM

Page 13: ASM Project Update: Atmospheric Modeling

Cloud Microphysics: Morrison and WSM5Morrison

WSM5

January 1998Goddard

RRTM LW

KF CU

YSU PBL

Noah LSM

Page 14: ASM Project Update: Atmospheric Modeling

Cloud Microphysics: Morrison and WSM5Morrison

WSM5

June 1998Goddard

RRTM LW

KF CU

YSU PBL

Noah LSM

Page 15: ASM Project Update: Atmospheric Modeling

Polar WRF and Polar MM5Polar WRF

Polar MM5

January 1998Goddard

RRTM LW

Morrison MP

KF CU

YSU PBL

Noah LSM

Page 16: ASM Project Update: Atmospheric Modeling

Polar WRF and Polar MM5Polar WRF

Polar MM5

January 1998Goddard

RRTM LW

Morrison MP

KF CU

YSU PBL

Noah LSM

Page 17: ASM Project Update: Atmospheric Modeling

Polar WRF and Polar MM5Polar WRF

Polar MM5

June 1998Goddard

RRTM LW

Morrison MP

KF CU

YSU PBL

Noah LSM

Page 18: ASM Project Update: Atmospheric Modeling

Polar WRF and Polar MM5Polar WRF

Polar MM5

June 1998Goddard

RRTM LW

Morrison MP

KF CU

YSU PBL

Noah LSM

Page 19: ASM Project Update: Atmospheric Modeling

Polar WRF and Polar MM5Polar WRF

Polar MM5

June 1998Goddard

RRTM LW

Morrison MP

KF CU

YSU PBL

Noah LSM

Page 20: ASM Project Update: Atmospheric Modeling

Conclusions: Polar WRF Development• Some WRF physics options are clearly inappropriate for

polar applications– Dudhia SW: large negative bias in SWD– Thermal diffusion soil model: large warm bias

• There appear to be issues with other physics options, which need more analysis– Grell-Devenyi cumulus: excessive cloud cover– MYJ PBL: wintertime cold bias

• Polar WRF has better skill than PMM5 for Jan• Polar WRF has similar skill as PMM5 for June • Processes in Polar WRF appear more realistic than in

Polar MM5

Page 21: ASM Project Update: Atmospheric Modeling

Meetings, Presentations, and Publications

• Conferences– DOE CCPP Science Team Meeting (Sept 07)

• Poster overview of RACM project– SEARCH for DAMOCLES (Oct 07)

• Atmospheric Modeling in an Arctic System Model• Polar Optimized WRF

– Little Alaska Weather Symposium (May 08)• Development and evaluation of Polar WRF

• Publications• Bromwich, D.H., K.M. Hines, and L.-S. Bai, 2008:

Development and testing of Polar WRF. Part II. The Arctic Ocean, submitted to J. Geophys. Res.

Page 22: ASM Project Update: Atmospheric Modeling