Date post: | 18-Dec-2015 |
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THE BEST ANALYZED AIR-SEA FLUXES FOR
SEASONAL FORECASTING
2.12
Glenn H. White, W. Wang, S. Saha, D. Behringer, S. Nadiga and H.-L. Pan
Global Climate and Weather Modeling Branch
Environmental Modeling Center
National Centers for Environmental Prediction
DOC/NOAA/NWS
Camp Springs MD
CFS03 (Climate Forecast System)will be implemented Aug. 24
--daily monthly, seasonal forecasts out to 10 months
Atmospheric component--operational global weather model (GFS03) of 2003 at T62, 64
levels
Ocean component--GFDL MOM3no flux correction
Ocean DataAssimilation
System (ODAS)OGCM
3D VAR
Coupled OceanAtmosphere
GeneralCirculation
Model(CGCM)
Ocean InitialConditions
SST ForecastUS ForecastsSurface Temp
Precip
Seasonal Forecasting at NCEP
Atmospheric Initial
Conditions
23 years of hind-casts to provide a) bias corrections b) estimates of forecast skill for real-time forecasts
NCEP-2 reanalysis a) initializes atmospheric model b) forces ocean re-analysisfor ocean initial conditions for hind-casts
GODAS (MOM V.3)
Forced by wind stress, heat flux, precipitation-evaporation
SST is relaxed to weekly NCEP SST analysis
surface salinity is relaxed to Levitus monthly SSS climatology.
Wind stress is thought to have most impact
OGCMMOM
Global v.3
DataAssimilation
3D VAR
Observations:XBTsTAO
P-FloatsAltimetry
AnalyzedFields:
TemperatureSalinity
Ocean Data Assimilation System (ODAS)
Surface StressHeat Flux
P-EFrom ?
--NCEP-2 reanalysis 1979-present (CDAS-2)T62, 28 levels corrections and updates to NCEP-1Used in hind-castsolder atmospheric model than CFS
What are best air-sea fluxes to initialize ocean assimilation for
real-time forecasts?
--GDAS T254, 64 levels
better data assimilation and atmospheric model than NCEP-2 better fluxes??
Not consistent with hind-castsMore consistent with CFS than NCEP2
Normalized RMS difference of monthly mean stress over 3 years
Normalized bias in 3-year mean stress magnitude
GDAS vs.
CDAS
Contour interval half of previous slide
1979-2000
NCEP2-FSU
ERA40-FSU
COADS-FSU
Zonal surface stress
29S-29N 5S-5N
FSU-NCEP2 .63 .55
FSU-ERA40 .68 .65
NCEP2-ERA40 .85 .75
Correlation of monthly anomalies in zonal wind
stress 122-290E 1979-2001
29S-29N 5S-5N
FSU-NCEP2 .59 .58
FSU-GDAS .63 .67
NCEP2-GDAS .87 .77
Correlation of monthly anomalies in zonal wind
stress 122-290E July 2001-Dec. 2003
CONCLUSIONS
--GDAS, ERA40 surface stresses agree more with independent estimates than NCEP2, suggesting progress
--disagreement between different estimates in equatorial Pacific implies substantial uncertainty in surface stress --CFS will use fluxes from NCEP-2 reanalysis to force ocean data assimilation, for consistency with hind-casts