5:15 PM - 7:15 PM
[ACG40-P04] Influences of deep layer observations on ocean state estimates based on ESTOC
ESTOC is a reanalysis dataset based on 4D-VAR adjoint data assimilation approach.
In the 4D-VAR approach, optimized 4-dimensional datasets are sought by minimizing a cost function.
The assimilated elements in this dataset are subsurface temperature and salinity, Sea-surface Temperature (SST).
The subsurface data is from EN4 dataset which was quality controlled using a comprehensive set of objective checks developed at the Hadley Centre of the UK Meteorological Office.
The SST data is from Reynolds and OISST, and SSHA data is derived from high-precision multi-satellite altimetry products distributed by Copernicus Marine Service. The GMSL data is monthly data until 2013, which is reconstructed based on Church and White (2011) and published by Ocean and Atmosphere unit in the Commonwealth Scientific and Industrial Research Organisation (CSIRO).
All observational data except for GMSL were averaged onto 1deg by 1deg bins and then compiled as series of 10-day means for the SST and SSHA data and monthly means for the subsurface and GMSL data. The control variables are surface fluxes (for net-heat, fresh water, and momentum), oceanic initial conditions, and five parameters in the tidally-induced mixing schemes.
In this system, we set coarse resolution boxmean temperature distribtuions in the ocean deepest layers and we have sucessfully reveal the bottom water distributions after 1980s (Osafune et al., 2022).
Recently, we have updated the assimilation window to be 66 years during 1957-2022.
Based on this system, we made two datasets with (ExpStd) and without (ExpNoD) temperature and salinity observations in the deeper layers.
In this poster presentations, we will report the comparison between two datasets.
In the deeper layers, the temperature increases were not be revealed in the ExpNoD.
In addition, there were a little temperature differences in the surface layers between ExpStd and ExpNoD.
The temeprature and salinity changes in the deep layers play a role on representations of ocean state revealed in this system, though the differences were relatively small.
In the 4D-VAR approach, optimized 4-dimensional datasets are sought by minimizing a cost function.
The assimilated elements in this dataset are subsurface temperature and salinity, Sea-surface Temperature (SST).
The subsurface data is from EN4 dataset which was quality controlled using a comprehensive set of objective checks developed at the Hadley Centre of the UK Meteorological Office.
The SST data is from Reynolds and OISST, and SSHA data is derived from high-precision multi-satellite altimetry products distributed by Copernicus Marine Service. The GMSL data is monthly data until 2013, which is reconstructed based on Church and White (2011) and published by Ocean and Atmosphere unit in the Commonwealth Scientific and Industrial Research Organisation (CSIRO).
All observational data except for GMSL were averaged onto 1deg by 1deg bins and then compiled as series of 10-day means for the SST and SSHA data and monthly means for the subsurface and GMSL data. The control variables are surface fluxes (for net-heat, fresh water, and momentum), oceanic initial conditions, and five parameters in the tidally-induced mixing schemes.
In this system, we set coarse resolution boxmean temperature distribtuions in the ocean deepest layers and we have sucessfully reveal the bottom water distributions after 1980s (Osafune et al., 2022).
Recently, we have updated the assimilation window to be 66 years during 1957-2022.
Based on this system, we made two datasets with (ExpStd) and without (ExpNoD) temperature and salinity observations in the deeper layers.
In this poster presentations, we will report the comparison between two datasets.
In the deeper layers, the temperature increases were not be revealed in the ExpNoD.
In addition, there were a little temperature differences in the surface layers between ExpStd and ExpNoD.
The temeprature and salinity changes in the deep layers play a role on representations of ocean state revealed in this system, though the differences were relatively small.