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Estuarine Hypoxia Modeling Breakout. Carl Friedrichs (VIMS) and the Estuarine Hypoxia Team. Outcomes from breakout session: 1) What are the tangible deliverables from the testbed ? Include: -- Summaries of results of head-to-head model comparisons. [check]
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Estuarine Hypoxia Modeling Breakout Carl Friedrichs(VIMS) and the Estuarine Hypoxia Team Outcomes from breakout session: 1) What are the tangible deliverables from the testbed? Include: -- Summaries of results of head-to-head model comparisons. [check] -- Model validation with observations. [check] -- Legacy data sets. [in progress] -- Skill assessment tools. [in progress] Presented at U.S.IOOS/SURA Modeling Testbed All-Hands Annual Meeting Washington, DC, June 23, 2011
Estuarine Hypoxia Modeling Breakout 2) Specify elements of testbed work that could be brought to operational readiness or significantly inform current operations: Possible pathway to operational use of 1-term hypoxia model: -- 1-term hypoxia model has been added to CSDL CBOFS research model. [check] -- Estuarine Hypoxia Team vets the hypoxia formulation. [in progress] -- EHT convinces CSDL that the operational formulation for hypoxia has value. [in progress] -- CSDL makes a request to CO-OPS to update the operational CBOFS with 1-term hypoxia. -- CO-OPS agrees and CO-OPS makes a request to NCEP to update to operational CBOFS. -- NCEP agrees and updates operational CBOFS with 1-term hypoxia. -- NCEP releases operational hypoxia forecasts with their present CBOFS output. -- CO-OPS posts operational output of hypoxia released by NCEP. Example: http://tidesandcurrents.noaa.gov/ofs/cbofs/cbofs.html
Estuarine Hypoxia Modeling Breakout 3) Lessons learned: -- Chesapeake Bay hydrodynamic models behave remarkably similarly, including their errors. -- All the hydrodynamic models under-predict salinity stratification. -- Hypoxia is predicted with more skill than salinity stratification for all models. -- Strongest control of seasonal hypoxia appears to be wind speed & direction. -- Over-mixing is likely due in part to incorrect setting of minimum background TKE. -- Multiple models predict hypoxia with more skill than individual models.
Estuarine Hypoxia Modeling Breakout 4) Priorities for next 6 months -- Complete our proposed first year work: -- Complete 2005 simulations. -- Complete hydrodynamic-hypoxia model combinations. -- Provide written recommendations for possible transition paths to agencies. -- Inventory/recommend standard skill assessment metrics. 5) Publications and presentations: -- CZ11, Gordon Conference, CERF, ECM12,AMS, Ocean Sciences. -- Hydrodynamic comparison (C. Friedrichs et al.); Hypoxia comparison (M. Friedrichs et al.); Wind sensitivity paper (Scully et al.); Background TKE paper (Scully et al.); Improving interpretation of monitoring (A. Bever et al.).
Estuarine Hypoxia Modeling Breakout 6) Priorities for next 2 years: -- Continue to work closely with NOAA-CSDL and NOAA-NCEP to transition our findings for use in short-term (≤ ~15 day) hypoxia forecast tools at NOAA. -- Continue to work closely with the EPA Chesapeake Bay Program to incorporate our findings into the future evolution of CBP scenario hypoxia forecast models. --Further explore the model properties that lead to the inability of hydrodynamic models to capture the observed intensity of density stratification. -- More fully include unstructured grid models in the Year 2 estuarine hydrodynamics and hypoxia intercomparison. -- Expand the parameter space of model runs to include additional degrees of biological model complexity as well as coordinated, idealized sensitivity runs across multiple models.