Dear Jayakrishnan The best in your case is to compute yourself the heat content from analyses or reanalyses. Because there are lots of available (re)analyses as indicated by Roxana, sometimes with important differences, with various mesh size and vertical levels; then because you can choose the depth of your heat content instead of standard depths. Then you can compare heat contents between the different available (re)analyses. Among the different products you can find on the web: gridded oceanic data: EN3 (Ingleby and Huddleston, 2007), EN4 period 1950-present; 42 levels Oceanic analyses: ARMOR3D (Guinehut et al (2012) 24 levels, 1993-2010; CORA (Cabanes et al., 2013): 59 levels, 1990-present oceanic reanalyses: GLORYS (Ferry et al., 2012) 75 levels, 1993-2009; GODAS (Saha et al., 2010), 40 levels, 1980-present; ORAS4 (Balmaseda et al, 2013), 42 levels, 1958-present; NEMOVAR1 COMBINE (Balmaseda et al. 2010), 42 levels, 1958-2008. Hope this can help you! Best regards, G.C.
Dear Jayakrishnan The best in your case is to compute yourself the heat content from analyses or reanalyses. Because there are lots of available (re)analyses as indicated by Roxana, sometimes with important differences, with various mesh size and vertical levels; then because you can choose the depth of your heat content instead of standard depths. Then you can compare heat contents between the different available (re)analyses. Among the different products you can find on the web: gridded oceanic data: EN3 (Ingleby and Huddleston, 2007), EN4 period 1950-present; 42 levels Oceanic analyses: ARMOR3D (Guinehut et al (2012) 24 levels, 1993-2010; CORA (Cabanes et al., 2013): 59 levels, 1990-present oceanic reanalyses: GLORYS (Ferry et al., 2012) 75 levels, 1993-2009; GODAS (Saha et al., 2010), 40 levels, 1980-present; ORAS4 (Balmaseda et al, 2013), 42 levels, 1958-present; NEMOVAR1 COMBINE (Balmaseda et al. 2010), 42 levels, 1958-2008. Hope this can help you! Best regards, G.C.
if you want to calculate the ocean heat content based on in situ observations i think the easiest way is to use Argo float data. Since there is such a good coverage by now you might have plenty of data in the Indian region- take a look here: http://www.argo.ucsd.edu/incois_ADV.html.
Then the ocean heat content is calculated by the formula (according to the European Environmental Agency) : Ocean heat content is defined as the integrated temperature change times the density of seawater, times specific heat capacity from the surface down to the deep ocean. But of course you can also use combined datasets such as CORA which provides Temperature and Salinity observation and objective analysis gridded fields at different time and depth scales.
If you just want to compare your data or to have a first look you can download the Global Heat Content at (0-700 meters) and (0-2000 meters) from https://www.nodc.noaa.gov/OC5/3M_HEAT_CONTENT/
if you want to calculate the ocean heat content based on in situ observations i think the easiest way is to use Argo float data. Since there is such a good coverage by now you might have plenty of data in the Indian region- take a look here: http://www.argo.ucsd.edu/incois_ADV.html.
Then the ocean heat content is calculated by the formula (according to the European Environmental Agency) : Ocean heat content is defined as the integrated temperature change times the density of seawater, times specific heat capacity from the surface down to the deep ocean. But of course you can also use combined datasets such as CORA which provides Temperature and Salinity observation and objective analysis gridded fields at different time and depth scales.
If you just want to compare your data or to have a first look you can download the Global Heat Content at (0-700 meters) and (0-2000 meters) from https://www.nodc.noaa.gov/OC5/3M_HEAT_CONTENT/
I think you could use reanalysis (not quite observations) such as:
https://climatedataguide.ucar.edu/climate-data/cmcc-global-ocean-reanalysis-system-c-glors
However, for tropical areas you could use observations from the buoy networks:
https://climatedataguide.ucar.edu/climate-data/tropical-moored-buoy-system-tao-triton-pirata-rama-toga
Best, Roxana.
I think you could use reanalysis (not quite observations) such as:
https://climatedataguide.ucar.edu/climate-data/cmcc-global-ocean-reanalysis-system-c-glors
However, for tropical areas you could use observations from the buoy networks:
https://climatedataguide.ucar.edu/climate-data/tropical-moored-buoy-system-tao-triton-pirata-rama-toga
Best, Roxana.
More
VOTE
Dear Jayakrishnan
The best in your case is to compute yourself the heat content from analyses or reanalyses. Because there are lots of available (re)analyses as indicated by Roxana, sometimes with important differences, with various mesh size and vertical levels; then because you can choose the depth of your heat content instead of standard depths. Then you can compare heat contents between the different available (re)analyses.
Among the different products you can find on the web:
gridded oceanic data: EN3 (Ingleby and Huddleston, 2007), EN4 period 1950-present; 42 levels
Oceanic analyses: ARMOR3D (Guinehut et al (2012) 24 levels, 1993-2010; CORA (Cabanes et al., 2013): 59 levels, 1990-present
oceanic reanalyses: GLORYS (Ferry et al., 2012) 75 levels, 1993-2009; GODAS (Saha et al., 2010), 40 levels, 1980-present; ORAS4 (Balmaseda et al, 2013), 42 levels, 1958-present; NEMOVAR1 COMBINE (Balmaseda et al. 2010), 42 levels, 1958-2008.
Hope this can help you!
Best regards,
G.C.
Dear Jayakrishnan
The best in your case is to compute yourself the heat content from analyses or reanalyses. Because there are lots of available (re)analyses as indicated by Roxana, sometimes with important differences, with various mesh size and vertical levels; then because you can choose the depth of your heat content instead of standard depths. Then you can compare heat contents between the different available (re)analyses.
Among the different products you can find on the web:
gridded oceanic data: EN3 (Ingleby and Huddleston, 2007), EN4 period 1950-present; 42 levels
Oceanic analyses: ARMOR3D (Guinehut et al (2012) 24 levels, 1993-2010; CORA (Cabanes et al., 2013): 59 levels, 1990-present
oceanic reanalyses: GLORYS (Ferry et al., 2012) 75 levels, 1993-2009; GODAS (Saha et al., 2010), 40 levels, 1980-present; ORAS4 (Balmaseda et al, 2013), 42 levels, 1958-present; NEMOVAR1 COMBINE (Balmaseda et al. 2010), 42 levels, 1958-2008.
Hope this can help you!
Best regards,
G.C.
More
VOTE
Thanks Dr. Roxana.and Dr.Caniaux....
Thanks Dr. Roxana.and Dr.Caniaux....
More
VOTE
Hello Jayakrishnan,
if you want to calculate the ocean heat content based on in situ observations i think the easiest way is to use Argo float data. Since there is such a good coverage by now you might have plenty of data in the Indian region- take a look here: http://www.argo.ucsd.edu/incois_ADV.html.
Then the ocean heat content is calculated by the formula (according to the European Environmental Agency) :
Ocean heat content is defined as the integrated temperature change times the density of seawater, times specific heat capacity from the surface down to the deep ocean.
But of course you can also use combined datasets such as CORA which provides Temperature and Salinity observation and objective analysis gridded fields at different time and depth scales.
If you just want to compare your data or to have a first look you can download the Global Heat Content at (0-700 meters) and (0-2000 meters) from https://www.nodc.noaa.gov/OC5/3M_HEAT_CONTENT/
Best regards,
Naomi
Hello Jayakrishnan,
if you want to calculate the ocean heat content based on in situ observations i think the easiest way is to use Argo float data. Since there is such a good coverage by now you might have plenty of data in the Indian region- take a look here: http://www.argo.ucsd.edu/incois_ADV.html.
Then the ocean heat content is calculated by the formula (according to the European Environmental Agency) :
Ocean heat content is defined as the integrated temperature change times the density of seawater, times specific heat capacity from the surface down to the deep ocean.
But of course you can also use combined datasets such as CORA which provides Temperature and Salinity observation and objective analysis gridded fields at different time and depth scales.
If you just want to compare your data or to have a first look you can download the Global Heat Content at (0-700 meters) and (0-2000 meters) from https://www.nodc.noaa.gov/OC5/3M_HEAT_CONTENT/
Best regards,
Naomi
More
VOTE