Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 4th.

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Justin Glisan Iowa State University Department of Geological and Atmospheric Sciences RACM Project Update: ISU Atmospheric Modeling Component: Part 1 4th DOE/RACM Meeting: San Diego, CA 1Justin Glisan, Iowa State University

Outline Update Since Seattle SHEBA Year run – WRF/PAW Parameters – Manual VEGUSE.TBL/LANUSE.TBL changes – BPRC VEGUSE.TBL/LANDUSE.TBL Future Work/PhD Research 4th DOE/RACM Meeting: San Diego, CA 2Justin Glisan, Iowa State University

Update Since Seattle Ancillary analysis of Case Study SHEBA Year Case Study Taught Mteor 206 at Iowa State (yuck!) – Slowed down research – Drained my brain 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University3

Pan-Arctic WRF (PAW) Setup Using physics parameterizations tested at the University of Colorado 4th DOE/RACM Meeting: San Diego, CA 4Justin Glisan, Iowa State University

PAW WRF (ARW dynamic core) version Pan-Arctic Domain Colorado Physics Parameterizations Two modifications since Seattle – Emissivity changes to native VEGUSE.TBL and LANDUSE.TBL – BPRC Polar WRF VEGUSE.TBL and LANDUSE.TBL 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University5

Current PAW Physics Parameterizations 1.ra_lw_physics 2.ra_sw_physics 3.bl_pbl_physics 4.sf_sfclay_physics 5.sf_surface_physics 6. mp_physics 7. cu_physics 1.ra_lw_physics = 1 (RRTM) 2.ra_sw_physics = 2 (Goddard) 3.bl_pbl_physics = 1 (YSU) 4.sf_sfclay_physics = 1 (MM5) 5.sf_surface_physics = 1 (Noah) 6. mp_physics = 10 (Morrison) 7.cu_physics = 1 (Kain- Fritsch) 4th DOE/RACM Meeting: San Diego, CA 6Justin Glisan, Iowa State University

PAW Model Runs 2000 Test Case SHEBA Year Test Case 4th DOE/RACM Meeting: San Diego, CA 7Justin Glisan, Iowa State University

Test Case Full run completed after Seattle meeting Run locally at ISU on Derecho – 12 nodes – 13-month run (September 2000-September 2001) – Around 18 hours computing time per month Results compared to ERA40 and NCEP reanalyses 4th DOE/RACM Meeting: San Diego, CA 8Justin Glisan, Iowa State University

SHEBA Year Test Case September 1997 – September 1998 (+) – Initial run extended into February 1999 – Same set-up as 2001 case Forcing Data Set: NCEP/DOE R2 Results compared against: – NCEP/DOE R2 – ECMWF ERA40 – SHEBA Observations 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University9

4th DOE/RACM Meeting: San Diego, CA 10Justin Glisan, Iowa State University

January 1998 MSLP & Bias Temperature & Bias Modifications Time Series 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University11

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University12

VEGUSE.TBL & LANDUSE.TBL Modifications (Jan. 1998) 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University13

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University14

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University15

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University16

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University17

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University18

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University19

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University20

VEGUSE.TBL & LANDUSE.TBL Modifications (Jan. 1998) 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University21

4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University22

VEGUSE.TBL & LANDUSE.TBL Modifications (Jan. 1998) 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University23

Future Work/PhD Research Analysis of Extreme ATMS Behavior Uncoupled and Coupled Model 4th DOE/RACM Meeting: San Diego, CA 24Justin Glisan, Iowa State University

Extreme Model Behavior Persistent pressure systems which lead to extreme temp. and precip. regimes Increased coastal erosion (attributed to high intensity storms) – This brings to mind certain ecosystems effects such as permafrost melt, glaciers, snow, etc. – Changes in storm tracks 4th DOE/RACM Meeting: San Diego, CA 25Justin Glisan, Iowa State University

Baseline Climatology Development After initial PAW run analyses, begin using UNCOUPLED PAW to develop a long-term, baseline climatology Once RACM is up and running… – Use the climatology as a means of analyzing extreme model behaviors In both coupled and uncoupled modes – Concentrating on near-future and further-future 4th DOE/RACM Meeting: San Diego, CA Justin Glisan, Iowa State University26

Coupled vs. Uncoupled One thing we want to understand is how observations actually compare to output from: – Uncoupled atmospheric model (PAW) – Coupled model (RACM) Interactions between the planetary and synoptic scales Sea ice evolution w.r.t to future climate regimes 4th DOE/RACM Meeting: San Diego, CA 27Justin Glisan, Iowa State University

4th DOE/RACM Meeting: San Diego, CA 28Justin Glisan, Iowa State University