Short-term sea ice forecasts with the RASM-ESRL coupled model
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1 Short-term sea ice forecasts with the RASM-ESRL coupled model A testbed for improving simulations of ocean-iceatmosphere interactions in the marginal ice zone Amy Solomon 12, Janet Intrieri 2, Mimi Hughes 12, Chris Cox 12, Ola Persson 12, Andrey Grachev 12 1 Cooperative Institute for Research in Environmental Sciences, University of Colorado 2 NOAA Earth System Research Laboratory, Boulder, CO Becki Heim, Mary-Beth Shreck NOAA National Weather Service Alaska Region Sea Ice Program, Anchorage, AK
2 OUTLINE Our Forecast Strategy & Goals What is RASM-ESRL and How We are Using It Real-Time Experimental Forecasts in Support of SeaState Validation (DOE/ARM,IASOA, IABP) Next Steps
3 FOCUS ON HYPOTHESIS TESTING Why short-term? ESPC greatest prediction challenge: day gap in predictive capability Our Working Hypothesis: Many longer-term biases are due to fast processes Synoptic Systems/ Lower Level Jets Processes in the Marginal Ice Zone (MIZ)
4 Utilize previously obtained obs of the Arctic atmosphere, BL, & iceocean interface as a basis of initial hypothesis testing Analysis of atmospheric & oceanic influences on sea ice evolution, model skill, etc. PROJECT STRATEGY [GOAL] Improve understanding of the physical processes that impact sea ice formation [APPROACH] through delivery of an experimental sea ice forecast Obtain in situ observations from the 2015 freeze-up for model initialization, real time verification, & validation of sea ice evolution Produce experimental coupled model forecasts for delivery to ship for operations & to the Arctic Testbed for operational needs & usage information
5 ADAPTING RASM-ESRL for SEA ICE FORECASTING RASM-ESRL is a modified version of RASM (Maslowski et al. 2012): includes the WRF atmosphere model, LANL CICE5 sea ice & mixed-layer ocean models, & the NCAR CLM4 land surface model. All components are run at 10km horizontal grid and the WRF model is run with 40 vertical levels. Regional Arctic System Model (RASM) Focus on climate simulations Includes all Arctic drainages and mid-latitude storm tracks Medium-range atmosphere resolution (50km) No initialization of sea ice RASM-ESRL Focus on short-term forecasting Centered on Arctic Basin High-resolution components (10km) Mixed-layer ocean Initialized with GFS/AMSR2 sea ice concentration Forced by GFS 3-hourly forecasts at the lateral boundaries km o C
6 EXPERIMENTAL FORECASTS IN SUPPORT OF SEASTATE
7 EXPERIMENTAL FORECASTS FOR NWS ICE DESK GUIDANCE
8 RASM-ESRL FORECAST PROCESS & VALIDATION Initialized at 12Z to produce daily 5-14 day forecasts --3 hr sea ice, 6 hr atmosphere RASM-ESRL (WRF) is forced at the lateral boundaries by GFS 3-hourly forecasts of winds, temp, & water vapor NOAA NWS soundings IABP Psfc, Tair, Tsfc T2m RASM-ESRL ocean mixed-layer is kept fixed at 20 m. Initialized SST (WRF Tskin) then integrated in time in ocean model SeaState fluxes, soundings, SST, waves, CTD s + previous cruises RASM-ESRL (CICE5) ice concentration initialized by AMSR2 AMRS2 MASAM2 DOE ARM Barrow & Oliktok Pt. radar & radiometers IASOA radiative fluxes Satellite SST Buoys, gliders, etc. IMB s
9 Validation at Barrow, Alaska: Liquid Water Path & Skin Temp from day Hindcasts g m -2 OBS RE MEAN RE STD
10 Validation at Barrow, Alaska: Downward Radiative Sfc Fluxes from day Hindcasts OBS RE MEAN RE STD
11 Hindcast Validation at Barrow, Alaska: Radiosondes
12 Hindcast Validation at Barrow, Alaska: Cloud Radar
13 RASM-ESRL & GFS over Central Arctic (CA): Relative to IABP Ocean/Ice Buoys CA Buoy RASM-ESRL GFS-Forecast GFS-Analysis 5 RASM-ESRL Oct Daily Forecasts Mean (solid) 1STD (dash) Oct 19 Oct 29
14 RASM-ESRL & GFS in Marginal Ice Zone (MIZ): Relative to IABP Ocean/Ice Buoys MIZ Buoy RASM-ESRL GFS-Forecast GFS-Analysis 5 RASM-ESRL Oct Daily Forecasts Mean (solid) 1STD (dash) Oct 19 Oct 29
15 Summary RASM adapted to produce wx-scale coupled model forecasts Delivered experimental sea ice forecasts during ONR SeaState Performing detailed model validation using observations of atmospheric fluxes, ocean temperatures, ice observations, etc.
16 Next Steps Analyze atmospheric, ocean, & ice processes Determine how to assess forecast skill & metrics Improve model; run experimental hind/forecasts Develop follow-on NWS testbed activity for fall freeze-up 2016 Deliver experimental Freezing Spray model fields in 2016
17 Thank you to the RASM team for making the RASM model available for this study This research was funded by 17
18 Extra Slides
19 RASM-ESRL Validating Atmospheric Forcing RASM-ESRL Sea Ice Concentration 11 Sep 2015
20 Measurements and Simulations of 2015 Freeze-up: SeaState Soundings Oct 2015 TEMPERATUR E WIND SPEED
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