[ [ ABSTRACABSTRACTT ] ]The vertical profiles of temperature and salinity derived from an ARGO data in the western Pacific have been analyzed by the The vertical profiles of temperature and salinity derived from an ARGO data in the western Pacific have been analyzed by the comparing with climatological data (Levitus94) and OGCM output. The OGCM used in this study is GFDL MOM3.0 covers the comparing with climatological data (Levitus94) and OGCM output. The OGCM used in this study is GFDL MOM3.0 covers the global ocean with a 1global ocean with a 1 by 1 by 1 and 29 level resolution, respectively. Six areas in the western Pacific are selected near the western and 29 level resolution, respectively. Six areas in the western Pacific are selected near the western boundary currents, which influence the heat budget of the warm pool and play a key role in the global climate change.boundary currents, which influence the heat budget of the warm pool and play a key role in the global climate change.

The vertical profiles of time mean temperature and salinity averaged over one year have high correlations between three kinds of The vertical profiles of time mean temperature and salinity averaged over one year have high correlations between three kinds of data (ARGO, climatology and model output). The temporal variability of ARGO data is much larger than those of two other data, data (ARGO, climatology and model output). The temporal variability of ARGO data is much larger than those of two other data, and also warm bias(0.5-1and also warm bias(0.5-1℃℃) is appeared compared to climatological data. Salinity minimum depth simulated by the OGCM is ) is appeared compared to climatological data. Salinity minimum depth simulated by the OGCM is close to the observed one, but the simulated salinity is generally higher (0.2 psu) than the observed value. And the stratification of close to the observed one, but the simulated salinity is generally higher (0.2 psu) than the observed value. And the stratification of model is too week compared to that of observation.model is too week compared to that of observation.

Results from the improved OGCM based on this study could lead to high-order descriptions of the western boundary currents in Results from the improved OGCM based on this study could lead to high-order descriptions of the western boundary currents in Pacific. Pacific.

Error analysis with ARGO dataError analysis with ARGO data

You-Soon Chang, Homan Lee, Jang-Won Seo, and Yong-Hoon Youn 

Marine Meteorology and Earthquake Research Laboratory,Meteorological Research Institute, Seoul 156-720, Korea

E-mail : you@metri.re.kr

On the ability of an OGCM to simulate the temperature and salinity in the western Pacific

On the ability of an OGCM to simulate the temperature and salinity in the western Pacific

Annual mean sea surface Annual mean sea surface height in MOM3. We height in MOM3. We employ an explicit free employ an explicit free surface method which surface method which fully incorporates the fully incorporates the undulating surface height undulating surface height within the baroclinic within the baroclinic momentum and tracer momentum and tracer equations. Units are cm.equations. Units are cm.

MMOM3 : SSH (cm)OM3 : SSH (cm)

The horizontal distribution of the The horizontal distribution of the simulated volume transport stream simulated volume transport stream function in February(upper panel) function in February(upper panel) and August(lower panel) and August(lower panel) respectively. Units are Sv.respectively. Units are Sv.

MMOM3 : Stream function(Sv)OM3 : Stream function(Sv)

The horizontal distribution of the The horizontal distribution of the simulated net surface heat flux in simulated net surface heat flux in February(upper panel) and February(upper panel) and August(lower panel) respectively. August(lower panel) respectively. Units are W/mUnits are W/m22..

MMOM3 : Net surface heat flux(W/mOM3 : Net surface heat flux(W/m22))

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Vertical profiles of time-mean Vertical profiles of time-mean temperature(salinity) and its standard temperature(salinity) and its standard deviation averaged over the 6 METRI deviation averaged over the 6 METRI ARGO data positions between 2002 ARGO data positions between 2002 and 2003 year in the western Pacific.and 2003 year in the western Pacific.

Vertical profiles of Vertical profiles of temperature(salinity) temperature(salinity) deviations, which are deviations, which are calculated by third kinds calculated by third kinds of data (ARGO, MOM3, of data (ARGO, MOM3, Levitus94), respectively.Levitus94), respectively.

Trojectories of the 6 floats deployed by METRI.Trojectories of the 6 floats deployed by METRI.

MODEL DESCRIPTION : GFDL MOM3.0, 1 by 1 deg. horizontal resolution, 29 vertical level, monthly mean surface boundary condition, HR wind stress, Scripps topography, explicit free surface condition, horizontal eddy viscosity and diffusivity(107cm2/s) , PP vertical mixing, restoring with Levitus T,S every 30 days, 30 years spin up.ANALYSIS METHOD : Vertical Interpolation (Cubic Spline Method), ARGO data (Sep. 2002 – Aug. 2003)

ARGOARGO part of the integrated global observation strategy

METRI/KMAMETRI/KMAMarine Meteorology & Earthquake Research Lab.

Annual mean sea surface temperature Annual mean sea surface temperature (upper panel at each figure) and (upper panel at each figure) and salinity (lower panel) in MOM3 (top salinity (lower panel) in MOM3 (top left) and its difference(left) with left) and its difference(left) with Levitus94 climatology (top right). Levitus94 climatology (top right). Units are in Units are in and psu℃ and psu℃ . .

MMOM3 : SST (deg. C)OM3 : SST (deg. C) Levitus94 : SST (deg. C)Levitus94 : SST (deg. C)

MMOM3 - Levitus (deg. C)OM3 - Levitus (deg. C)

Levitus94 : SSS (psu)Levitus94 : SSS (psu)

MMOM3 - Levitus (psu)OM3 - Levitus (psu)

MMOM3 : SSS (psu)OM3 : SSS (psu)