roms in alaska waters
DESCRIPTION
ROMS in Alaska Waters. Kate Hedstrom, ARSC/UAF Enrique Curchitser, IMCS/Rutgers August, 2007. Overview. GLOBEC and related modeling NEP runs so far Forcing Plans Tides CCSM connection CORE forcing, POP global ocean for boundaries Coupling underway at NCAR. The Model. ROMS ocean - PowerPoint PPT PresentationTRANSCRIPT
ROMS in Alaska Waters
Kate Hedstrom, ARSC/UAFEnrique Curchitser, IMCS/Rutgers
August, 2007
Overview
• GLOBEC and related modeling– NEP runs so far– Forcing– Plans– Tides
• CCSM connection– CORE forcing, POP global ocean for
boundaries– Coupling underway at NCAR
The Model• ROMS ocean
– Coupled ecosystem models– Now with an adjoint and tangent linear for
data assimilation
• Ice model from Paul Budgell– EVP dynamics (Arakawa C grid)– Mellor-Kantha thermodynamics– Oceanic molecular sublayer under the ice
for improved behavior
NEP Implementation
• 10 km average horizontal resolution• Run1:
– 30 vertical layers– IC’s and BC’s from NPac– Daily fluxes from NCEP hindcast (modified)– 1996-2002, 1960-1970
• Run2:– 42 vertical layers– Six-hourly fluxes from Common Ocean-ice Reference
Experiments (CORE) reanalysis– IC’s and BC’s from CCSM (POP) forced by CORE– 1958-2004
Evaluation of Latest Simulation
• We are much happier with the heat fluxes from CORE
• Ice area seems quite realistic• Still could do better:
– Not enough fresh water input at the coast– Stratification in general isn’t quite right, will
perhaps be improved by tidal mixing– We want a shallower minimum depth
• We also need to add an ecosystem model for GLOBEC, plus need to test the new NEMURO implementation
Ice Area and Volume
Zoom In
Tides in the Bering Sea
• We have an effort underway to evaluate the tides in the model with Zigmunt Kowalik and Seth Danielson
• We started with the 4 km Bering Sea domain in 2-d with four tidal constituents
• We are ultimately interested in the complex 3-d structure
CCSM Coupling
• Thanks to the CORE group’s products, we no longer need to run the large NPAC domain (proof of one-way coupling)
• The CCSM model does fine for its resolution, but fails in regions needing more resolution (coastal upwelling)
• The idea is to couple ROMS to CCSM, where ROMS is part of a “composite ocean” providing a better sea surface temperature to the atmosphere
CCSM
CCSM Strategy
• The coupling interval is one day, with the atmosphere running ahead
• The composite ocean will receive hourly winds, etc. and interpolate to ROMS grid(s)
• POP runs for that day, sends “curtains” out for ROMS nests
• ROMS runs for that day• Composite ocean merges SST from POP and ROMS for CAM
Conclusions
• We are excited about this opportunity to work with the CCSM group
• A similar effort is underway to add WRF as a regional atmospheric model
• One of the people we’ve been working with is on the ESMF team at NCAR and wants to make a standalone ESMF-ready version of ROMS