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2. physics

COPERNICUS
MARINE ENVIRONMENT MONITORING SERVICE
Catalogue of products
May 1, 2015
Catalogue of PRODUCTS
May 1 2015
This is the EU Copernicus Marine Service catalogue of PRODUCTS. There are 135
PRODUCTS as of May 1 2015.
“INFO”, “DOWNLOAD” and “VIEW” links are available from the web portal
http://www.marine.copernicus.eu. We welcome user feedback on the content and
functionality of this catalogue.
Please contact our Service Desk ([email protected]) for any
comments and feedback.
© EU Copernicus Marine Service – Public - May 2015
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Global Ocean
GLOBAL_ANALYSIS_FORECAST_BIO_001_014
Global Ocean Biogeochemistry Analysis and weekly forecast
Product GLOBAL_ANALYSIS_FORECAST_BIO_001_014 produced by Mercator
Ocean in Toulouse, France, is a global Ocean Biogeochemical analysis product
at 1/2°. It is providing a 7-days mean global forecast updated weekly as well as
3D global ocean biogeochemical weekly mean analysis for the past 2 years
updated every week. This product includes weekly mean files of dissolved iron,
nitrate, phosphate, silicate, dissolved oxygen, chlorophyll concentration,
phytoplankton concentration and primary production parameters from the top to
the bottom of the Global Ocean on a 1/2° regular grid projection interpolated from
the 1/4° ARAKAWA-C native grid. Vertical coverage includes 50 levels ranging
from 0 to 5500 meters. Outputs are delivered as weekly mean files with Netcdf
format (CF-1.4 convention). Files are updated weekly on thursday at noon.
MORE INFO
GLOBAL_ANALYSIS_FORECAST_PHYS_001_015
Global Ocean 1/4° Physics Analysis and Forecast updated Daily
The UK Met Office Global Seasonal coupled forecast system (GloSea5) is used
to provide 7 days of 3D global ocean forecasts, at ¼ degree, updated daily. In
addition the Forecast Ocean Assimilation Model (FOAM) ocean analysis used to
initialise the coupled system is provided daily, along with an updated analysis a
day later which makes use of more observations. This product includes daily
mean files of temperature, salinity, currents, sea level, mixed layer depth and sea
ice parameters.
MORE INFO
GLOBAL_ANALYSIS_PHYS_001_016
Global Observed Ocean Physics Temperature Salinity Heights and
Currents Processing
You can find here the Global T,S,H,U,V Armor-3D L4 Analysis: Combined
products from satellite observations (Sea Level Anomalies, Mean Dynamic
Topography and Sea Surface Temperature) and in-situ (Temperature and
Salinity profiles) on a 1/4 degree regular grid;
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Global Ocean
GLOBAL_REANALYSIS_PHYS_001_009
Global Ocean Physics Reanalysis GLORYS2V3 (1993-2013)
You can find here the new Mercator Ocean (Toulouse, FR) GLORYS2V3 (19932013) global ocean reanalysis (i.e. one of the four global ocean reanalysis
GLOBAL_REANALYSIS_PHYS_001_009, 010, 011 and 017) for the Global
Ocean and Sea Ice Physics : monthly means of Temperature, Salinity, Currents,
Sea Surface Height and Sea Ice Parameters, at 1/4 degree horizontal resolution,
with 75 vertical levels, forced by ERA-Interim atmospheric variables and covering
the 1993-2013 time period, with SEEK/IAU Data Assimilation of Temperature and
Salinity profiles as well as Sea Level Anomalies, Sea Ice Concentration and Sea
Surface Temperature. It also provides with daily means of surface or near
surface fields (Sea Surface Temperature, Sea Surface Salinity, Sea Surface
Height, currents at depth 0m and 15m, sea ice variables) and 2D diagnostics of
mixed layer depth (computed using 3 different criteria) over the 1993-2013 time
period.
MORE INFO
GLOBAL_REANALYSIS_PHYS_001_010
Global Ocean Physics Reanalysis UR025.4 (1993-2010)
You can find here the University of Reading (Reading, UK) UR025.4 reanalysis
(1/4 deg lat x 1/4 deg lon, 75 vertical levels, from 1993 to 2010) (i.e. one of the
four global ocean reanalysis GLOBAL_REANALYSIS_PHYS_001_009, 010, 011
and 017) for the Global Ocean and Sea Ice Physics : monthly means of
Temperature, Salinity, Currents, Sea Surface Height and Sea Ice Parameters, at
1/4 degree horizontal resolution, with 75 vertical levels, forced by ERA-Interim
atmospheric variables and covering the 1993-2010 time period, with Data
Assimilation of in situ and satelitte SST, Sea Level Anomalies, Temperature and
Salinity profiles and satellite Sea Ice Concentration using the UK Met Office
FOAM system.
MORE INFO
GLOBAL_REANALYSIS_PHYS_001_011
Global Ocean Physics Reanalysis CGLORS (1982-2013)
You can find here the CMCC (Bologna, IT) CGLORS reanalysis (1/4 deg lat x 1/4
deg lon, 50 vertical levels, from 1982 to 2013) (i.e. one of the four global ocean
reanalysis GLOBAL_REANALYSIS_PHYS_001_009, 010, 011 and 017) for the
Global Ocean and Sea Ice Physics : monthly means of Temperature, Salinity,
Currents, Sea Surface Height and Sea Ice Parameters, as well as daily mean
surface fields for Temperature, Salinity, Currents, Sea Surface Height and Sea
Ice Parameters, as well as daily mean surface fields for Temperature, Salinity,
Currents, Sea Surface Height and Sea Ice Parameters, at 1/4 degree horizontal
resolution, with 50 vertical levels, forced by ERA-Interim atmospheric variables
and covering the 1982-2013 time period, with 3DVAR/FGAT Data Assimilation of
Temperature and Salinity profiles as well as Sea Level Anomaly observations
and nudging to sea surface temperature and sea-ice concentration observations.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Global Ocean
GLOBAL_REANALYSIS_PHYS_001_017
Global Ocean Physics Reanalysis ECMWF ORAP5.0 (1979-2013)
You can find here the ECMWF (Reading, UK) ORAP5.0 reanalysis (1/4 deg lat x
1/4 deg lon, 75 vertical levels, from 1979 to 2013) (i.e. one of the four global
ocean reanalysis GLOBAL_REANALYSIS_PHYS_001_009, 010, 011 and 017)
for the Global Ocean and Sea Ice Physics: monthly means of Temperature,
Salinity, Currents, Sea Surface Height, Sea Surface Temperature and Sea Ice
Parameters, 5-day mean surface currents as well as daily mean 2-dimensional
fields (mixed layer depth, depth of 20/26/28 degree isotherm, heat content in
upper 300m/700m/total column steric height … ) at 1/4 degree horizontal
resolution, with 75 vertical levels, forced by ERA-Interim atmospheric variables
and covering the 1979-2013 time period, with NEMOVAR (3DVAR/FGAT) data
assimilation of Temperature and Salinity profiles, Sea Level Anomalies, and
satellite Sea Ice Concentration observations.
MORE INFO
GLOBAL_REANALYSIS_PHYS_001_004
Global Ocean Physics NON ASSIMILATIVE Hindcast Reference
Simulation (1993-2011)
You can find here the new reference non assimilative HINDCAST simulation of
the Global Ocean and Sea Ice Physics (monthly means of Temperature, Salinity,
Currents, Sea Surface Height and Sea Ice Parameters) at 1/4 degree horizontal
resolution, forced by ERA-Interim atmospheric variables and covering the period
1993-2011. It is also called the LGGE MJM105b (FR) reference simulation (1/4
deg lat x 1/4 deg lon, 75 vertical levels, from 1993 to 2011) and is a free hindcast
run without data assimilation that serve as reference run for Reanalyses
GLOBAL_REANALYSIS_PHYS_001_009, 010,011 and 017.
MORE INFO
GLOBAL_REANALYSIS_BIO_001_018
Global Ocean Biogeochemistry NON ASSIMILATIVE Hindcast
(PISCES) (1998-2013)
You can find here the biogeochemistry non assimilative hindcast simulation
GLOBAL_REANALYSIS_BIO_001_018 at 1/4° over period 1998 - 2013. Outputs
are delivered as monthly mean files with Netcdf format (CF/COARDS 1.5
convention) on the native tripolar grid (ORCA025) at ¼° resolution with 75
vertical levels. This simulation is based on the PISCES biogeochemical model. It
is forced offline at a daily frequency by the equivalent of the GLOBALREANALYSIS-PHYS-001-009 physics product but without data assimilation.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Global Ocean
GLOBAL_REANALYSIS_BIO_001_019
Global Ocean Biogeochemistry NON ASSIMILATIVE Hindcast
(PELAGOS025) (1998-2013)
You can find here the CMCC (Bologna, IT) non assimilative HINDCAST
simulation of the Global Ocean Biogeochemistry with monthly mean fields for 3D
nitrate, phosphate, silicate, dissolved oxygen, and chlorophyll concentration at
1/4 degree horizontal resolution (all variables on the same grid point) with 50
vertical levels. The full time series is covering the period 1998-2013.
MORE INFO
Arctic Ocean
ARCTIC_ANALYSIS_FORECAST_PHYS_002_001_a
Arctic Ocean Physics Analysis and Forecast
The operational TOPAZ4 Arctic Ocean system uses the HYCOM model and a
100-member EnKF assimilation scheme. It is run daily to provide 10 days of
forecast (one single member) of the 3D physical ocean, including sea ice; data
assimilation is performed weekly to provide 7 days of analysis (ensemble
average).
MORE INFO
ARCTIC_ANALYSIS_FORECAST_BIO_002_004
Arctic Ocean Biogeochemistry Analysis and Forecast
The operational TOPAZ4-NORWECOM Arctic Ocean system uses uses the
NORWECOM biological model coupled online to the physical model providing
the product ARCTIC_ANALYSIS_FORECAST_PHYS_002_001_a. It is run daily
to provide 10 days of forecast of 3D biogeochemical variables ocean, including
nutrients and algae; a 7-day analysis is updated weekly.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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ARCTIC_REANALYSIS_PHYS_002_003
Arctic Ocean Physics Reanalysis (1991-2013)
The TOPAZ4 Arctic Ocean Reanalysis provides 3D physical ocean and sea ice
variables for the time period 1991-2013. The reanalysis uses the HYCOM model
and a 100-members DEnKF to assimilate both in situ profiles and satellite data
from different sensors.
MORE INFO
ARCTIC_REANALYSIS_BIO_002_005
Arctic Ocean Biogeochemistry Reanalysis (2007-2010)
The coarse resolution (50km) Arctic Ocean Reanalysis provides 3D biological
ocean demonstration variables for the time period 2007-2010. The reanalysis
uses the HYCOM-NORWECOM model and a 100-members EnKF assimilating
ocean colour data since 1st Jan 2008.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Baltic Sea
BALTICSEA_ANALYSIS_FORECAST_PHYS_003_006
Baltic Sea Physics Analysis and Forecast
The Baltic Sea physical model product provides forecasts for the physical
conditions in the Baltic Sea. The Baltic forecast is updated twice daily providing a
new two days forecast with hourly data for sea level variations, ice concentration
and thickness at the surface, and temperature, salinity and horizontal velocities
for the 3D field. The product is based on the 3D ocean model code HBM
(HIROMB-BOOS Model) developed within the Baltic ocean community.
MORE INFO
BALTICSEA_ANALYSIS_FORECAST_BIO_003_007
Baltic Sea Biogeochemistry Analysis and Forecast
The Baltic Sea biogeochemical model product provides forecasts for the
biogeochemical conditions in the Baltic Sea. The Baltic forecast is updated twice
daily providing a new two days forecast with hourly data for the parametres
dissolved oxygen, nitrate, phosphate, chl-a. The product is produced by the
biogeochemical model ERGOM (Neumann, 2000) one way coupled to the Baltic
3D ocean model HBM, which provides the MyOcean Baltic physical ocean
product.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Baltic Sea
BALTICSEA_REANALYSIS_PHYS_003_008
Baltic Sea Physics Reanalysis from SMHI (1989-2013)
For the Baltic Sea, we provide three different Reanalysis products for the
physical condition in the Baltic Sea. The purpose of having several Baltic
reanalysis products is to estimate the accuracy of a Baltic reanalysis by using
different
data
assimilation
methods
and
model
codes.
The
3
different
products
provided
are:
BALTICSEA_REANALYSIS_PHYS_003_004
BALTICSEA_REANALYSIS_PHYS_003_005
BALTICSEA_REANALYSIS_PHYS_003_008.
This reanalysis BALTICSEA_REANALYSIS_PHYS_003_008 for the Baltic Sea
was produced in 2014 at SMHI with the circulation model HIROMB (HighResolution Operational Model for the Baltic). The data assimilation scheme used
was
an
Ensemble
3D-Var
data
assimilation
scheme.
The product provides data on a 3 nautical miles grid (5.5 km) for the physical
conditions in the Baltic Sea for the period 1989 – 2013.
The
product
provides
three
different
datasets:
*Surface fields with hourly instantaneous data for sea level and sea ice
concentration
and
thichness.
*3D fields for every 6 hour for temperature, salinity and horizontal velocities.
*Monthly mean fileds for temperature, salinity and horizontal velocities.
MORE INFO
BALTICSEA_REANALYSIS_PHYS_003_005
Baltic Sea Physics Reanalysis from SMHI (1990-2009)
For the Baltic Sea, we provide three different Reanalysis products for the
physical condition in the Baltic Sea. The purpose of having several Baltic
reanalysis products is to estimate the accuracy of a Baltic reanalysis by using
different
data
assimilation
methods
and
model
codes.
The
3
different
products
provided
are:
BALTICSEA_REANALYSIS_PHYS_003_004
BALTICSEA_REANALYSIS_PHYS_003_005
BALTICSEA_REANALYSIS_PHYS_003_008.
This reanalysis BALTICSEA_REANALYSIS_PHYS_003_005 for the Baltic Sea
was produced at SMHI in 2011 with the 3D ocean model code HBM (HIROMBBOOS Model) developed within the Baltic ocean community. The model code
and set up was HBM-V1 run on a 3 nautical mile horizontal grid with a Uni-variate
optimal interpolation with elliptical shaped correlation functions data assimilation
scheme.
The products provide monthly mean fields for the physical conditions in the Baltic
Sea based on 20 year reanalysis simulations for the period January 1990 December 2009. Monthly mean fields for temperature, salinity and horizontal
velocities are provided from surface to 400 meters deep (25 different depth
levels), together with sea level variations and sea ice parameters for the surface.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Baltic Sea
BALTICSEA_REANALYSIS_PHYS_003_004
Baltic Sea Physics Reanalysis from DMI (1990-2009)
For the Baltic Sea, we provide three different Reanalysis products for the
physical condition in the Baltic Sea. The purpose of having several Baltic
reanalysis products is to estimate the accuracy of a Baltic reanalysis by using
different data assimilation methods and model codes. The 3 different products
provided
are:
BALTICSEA_REANALYSIS_PHYS_003_004
BALTICSEA_REANALYSIS_PHYS_003_005
BALTICSEA_REANALYSIS_PHYS_003_008.
This reanalysis BALTICSEA_REANALYSIS_PHYS_003_004 for the Baltic Sea
was produced in 2011 at DMI with the 3D ocean model code HBM (HIROMBBOOS Model) developed within the Baltic ocean community. The model code
and set up was HBM-V1 run on a 6 nautical miles horizontal grid with a 3Dvar
data
assimilation
scheme.
The product provides monthly mean fields for the physical conditions in the Baltic
Sea based on 20 year reanalysis simulations for the period January 1990 December 2009. Monthly mean fields for temperature, salinity and horizontal
velocities are provided from surface to 400 meters deep (25 different depth
levels), together with sea level variations and sea ice parameters for the surface.
MORE INFO
BALTICSEA_REANALYSIS_BIO_003_009
Baltic Sea Biochemical Reanalysis from SMHI (1970-1999)
For the Baltic Sea we provide one Reanalysis product for the bio-chemical
condition
in
the
Baltic
Sea.
This reanalysis BALTICSEA_REANALYSIS_BIO_003_009 for the Baltic Sea was
produced in 2014 at SMHI with the modelsystem SCOBI-RCO with an EnOI data
assimilation
scheme.
The biogeochemical reanalysis product is provided on a grid with horizontal
resolution of 2 nautical miles (3.7km) for the bio-chemical conditions in the Baltic
Sea for 30 years reanalysis (1970 – 1999). The product provides 3D fields with 2day means and monthly means for the five parametres: oxygen, nitrate,
phosphate, chl-a, ammonium.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Atlantic- European North West Shelf- Ocean
NORTHWESTSHELF_ANALYSIS_FORECAST_PHYS_004_001_b
Atlantic - European North West Shelf - Ocean Physics Analysis and
Forecast
The Forecasting Ocean Assimilation Model 7km Atlantic Margin model (FOAM
AMM7) is a coupled hydrodynamic-ecosystem model, nested in a series of oneway nests to the Met Office global ocean model. The hydrodynamics are
supplied by the Nucleus for European Modelling of the Ocean (NEMO) with the
3DVar NEMOVAR system used for the assimilation of sea surface temperature
data. This is coupled to the European Regional Seas Ecosystem Model
(ERSEM), developed at Plymouth Marine Laboratory (PML).
MORE INFO
NORTHWESTSHELF_ANALYSIS_FORECAST_BIO_004_002_b
Atlantic - European North West Shelf - Ocean Biogeochemistry
Analysis and Forecast
The Forecasting Ocean Assimilation Model 7km Atlantic Margin model (FOAM
AMM7) is a coupled hydrodynamic-ecosystem model, nested in a series of oneway nests to the Met Office global ocean model. The hydrodynamics are
supplied by the Nucleus for European Modelling of the Ocean (NEMO) with the
3DVar NEMOVAR system used for the assimilation of sea surface temperature
data. This is coupled to the European Regional Seas Ecosystem Model
(ERSEM), developed at Plymouth Marine Laboratory (PML). ERSEM based
models have been used operationally to forecast biogeochemistry in the region
for a number of years (Siddorn et al., 2006).
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
10 of 43
Atlantic- European North West Shelf- Ocean
NORTHWESTSHELF_REANALYSIS_PHYS_004_009
European North West Shelf- Ocean Physics REANALYSIS from
METOFFICE (1985-2012)
The reanalysis covers the period January 1985 until July 2012 and is based upon
the Forecasting Ocean Assimilation Model 7km Atlantic Margin Model (FOAM
AMM7).This is a hydrodynamic model of the North West European shelf forced at
the surface by ERA-interim winds, atmospheric temperature, and precipitation
fluxes. Horizontal boundary conditions were provided by the NOC global
reanalysis prior to 1989 and by the GloSea reanalysis thereafter. Boundary
conditions in the Baltic sea came from the IOM-GETM model. E-Hype data were
used for river inputs. Hydrodynamic calculations were performed by the Nucleus
for European Modelling of the Ocean (NEMO) system, while the 3DVar
NEMOVAR system was used for the assimilation of sea surface temperature
data.
Physical outputs are provided both as monthly means and as daily 25 hour,
detided,
averages.
The reanalysis was conducted in three sections: January 1984 -> March 1989;
April 1989 -> December 2003; January 2004 -> June2012. Each of these
sections was initialised separately, and users should be aware of possible
discontinuities
between
them.
An older non-assimilative hindcast for the European North-West continental Shelf
(NWS)
can
be
found
in
product
NORTHWESTSHELF_REANALYSIS_PHYS_004_005 which covers a longer
period albeit without SST assimilation.
MORE INFO
NORTHWESTSHELF_REANALYSIS_PHYS_004_005
Atlantic- European North West Shelf- Ocean Physics NON
ASSIMILATIVE Hindcast from NERCPOL (1960-2004)
This product is one of the 2 Ocean Physics non assimilative Hindcast simulations
for the Atlantic- European North West Shelf- Ocean, on grid (40degN- 65degN;
20degW-13degE) at the horizontal resolution (~12km; 1/9 deg lat x 1/6 deg lon)
produced
for
the
original
MyOcean
project
(the
other
being
NORTHWESTSHELF_REANALYSIS_PHYS_004_006).
Users should be aware that a more recent reanalysis of the European North
West Shelf physics with SST data assimilation can be found in
NORTHWESTSHELF_REANALYSIS_PHYS_004_009.
The Atlantic Margin Model is a coupled hydrodynamic-ecosystem model, nested
in a series of one-way nests to global reanalyses. The hydrodynamics are
supplied by the Proudman Oceanographic Laboratory Coastal Ocean Modeling
System (POLCOMS) and the ecosystem component is supplied by the European
Regional Seas Ecosystem Model (ERSEM), developed at Plymouth Marine
Laboratory (PML). It provides monthly means hindcast products for the
Northwest Shelf Sea from 1960 to 2004.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Atlantic- European North West Shelf- Ocean
NORTHWESTSHELF_REANALYSIS_PHYS_004_006
Atlantic- European North West Shelf- Ocean Physics NON
ASSIMILATIVE Hindcast from IMR (1985-2008)
This product is one of two Ocean Physics non assimilative Hindcast simulations
for the European North West Shelf- Ocean, on grid (40degN- 65degN; 20degW13degE) and at the horizontal resolution (~12km; 1/9 deg lat x 1/6 deg lon)
produced
for
the
original
MyOcean
project
(the
other
being
NORTHWESTSHELF_REANALYSIS_PHYS_004_005).
Users should be aware that a more recent reanalysis of the European North
West Shelf physics with SST data assimilation can be found in
NORTHWESTSHELF_REANALYSIS_PHYS_004_009.
This product provides monthly means hindcast of Ocean physics for the
Northwest Shelf Sea from 1985 to 2009, issued from the NORWECOM system.
NORWECOM, or the NORWegian ECOlogicalModel system, is a coupled 3
dimensional physical, chemical, biological model system for studying of primary
production and dispersion of particles (such as fish larvae and pollution). The
model was originally developed for simulations in the North Sea and Skagerrak,
but has also been used in the Norwegian Sea, the Barents Sea and the
Benguela.
MORE INFO
NORTHWESTSHELF_REANALYSIS_PHYS_004_010
Atlantic- European North West Shelf- Ocean Physics Reanalysis
from IMR (1993-2012)
The reanalysis covers the period January 1993 until December 2009 and is
based upon the Regional Ocean Modelling System (ROMS) on 8x8 km resolution
grid. This is a hydrodynamic model of the North West European shelf forced at
the surface by ERA-interim winds, atmospheric temperature, and precipitation
fluxes. Horizontal boundary conditions were provided by the Mercator Ocean
(Toulouse, FR) GLORYS2V1 global reanalysis. E-Hype data were used for river
inputs. The ROMS models integrated Incremental Strong constraint 4
Dimensional Variational Analysis (IS4DVAR) advanced assimilation method
system was used for the assimilation of sea surface satellite temperature data.
Physical outputs are provided as monthly means. The reanalysis was conducted
in four sections: January 1993, 1995, 2000, and 2007 where each simulation
period overlapped the following by 8 months. Each of these sections was
initialized separately, and users should be aware of possible discontinuities
between them.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Atlantic- European North West Shelf- Ocean
NORTHWESTSHELF_REANALYSIS_BIO_004_011
Atlantic- European North West Shelf- Ocean Biogeochemistry
Reanalysis from METOFFICE (1985-2012)
The reanalysis covers the period January 1985 until July 2012 and is based upon
the
Forecasting Ocean Assimilation Model 7km Atlantic Margin Model (FOAM
AMM7). This is a coupled hydrodynamic-ecosystem model of the North West
European shelf forced at the surface by ERA-interim winds, atmospheric
temperature, and precipitation fluxes. Horizontal boundary conditions were
provided by the NOC global reanalysis prior to 1989 and by the GloSea
reanalysis thereafter. Boundary conditions in the Baltic sea came from the IOMGETM model. E-Hype data were used for river inputs. Hydrodynamic calculations
were performed by the Nucleus for European Modelling of the Ocean (NEMO)
system, while the 3DVar NEMOVAR system was used for the assimilation of sea
surface temperature data. This is coupled to the European Regional Seas
Ecosystem Model (ERSEM), developed at Plymouth Marine Laboratory (PML)
(Blackford et al., 2004). ERSEM based models have been used operationally to
forecast biogeochemistry in the region for a number of years (Siddorn et al.,
2007). Nutrient boundary conditions are provided by World Ocean Atlas
climatology (Garcia et al., 2010) and river nutrient and sediment concentrations
from the operational climatology. Outputs are provided both as monthly means
and as daily 25 hour, de-tided, averages.
MORE INFO
NORTHWESTSHELF_REANALYSIS_BIO_004_007
Atlantic- European North West Shelf - Ocean Biogeochemistry NON
ASSIMILATIVE Hindcast from NERCPOL (1967-2004)
This product is one of the 2 Ocean Biogeochemistry non assimilative Hindcast
simulations for the Atlantic- European North West Shelf- Ocean, on grid
(40degN- 65degN; 20degW-13degE) at the horizontal resolution (~12km; 1/9 deg
lat x 1/6 deg lon). Another Ocean Biogeochemistry non assimilative Hindcast
simulation
is
provided
in
product
NORTHWESTSHELF_REANALYSIS_BIO_004_008.
The Atlantic Margin Model is a coupled hydrodynamic-ecosystem model. The
hydrodynamics are supplied by the Proudman Oceanographic Laboratory
Coastal Ocean Modeling System (POLCOMS) and the ecosystem component is
supplied by the European Regional Seas Ecosystem Model (ERSEM), developed
at Plymouth Marine Laboratory (PML). It provides monthly means hindcast
products for the Northwest Shelf Sea from 1967 to 2004.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Atlantic- European North West Shelf- Ocean
NORTHWESTSHELF_REANALYSIS_BIO_004_008
Atlantic- European North West Shelf - Ocean Biogeochemistry NON
ASSIMILATIVE Hindcast from IMR (1985-2008)
This product is one of two Ocean Biogeochemistry non assimilative Hindcast
simulations for the Atlantic- European North West Shelf- Ocean, on grid
(40degN- 65degN; 20degW-13degE) and at horizontal resolution (~12km; 1/9
deg lat x 1/6 deg lon). Another Ocean Biogeochemistry non assimilative Hindcast
simulation
is
provided
in
product
NORTHWESTSHELF_REANALYSIS_BIO_004_007.
This product provides monthly means hindcast of Ocean biogeochemistry for the
Northwest Shelf Sea from 1985 to 2009, issued from the NORWECOM system.
NORWECOM, or the NORWegian ECOlogicalModel system, is a coupled 3
dimensional physical, chemical, biological model system for studying of primary
production and dispersion of particles (such as fish larvae and pollution). The
model was originally developed for simulations in the North Sea and Skagerrak,
but has also been used in the Norwegian Sea, the Barents Sea and the
Benguela.
MORE INFO
NORTHWESTSHELF_REANALYSIS_BIO_004_012
Atlantic- European North West Shelf- Ocean Biogeochemistry NON
ASSIMILATIVE Hindcast from IMR (1993-2012)
The reanalysis covers the period January 1993 until December 2009 and is
based upon the Regional Ocean Modelling System (ROMS) coupled offline to the
NORWECOM system on 8x8 km resolution grid. The biological model used is the
NORWegian ECOlogical Model system (NORWECOM) (Aksnes et al., 1995;
Skogen et al., 1995; Skogen and Søiland, 1998). In the present study the model
is run in offline mode, using physical fields from the ROMS reanalysis described
below. The reanalysis was conducted in four sections: January 1993, 1998, 2002
and 2006 using a spin-up period from February 15 the year period. All biological
variables
were
stored
as
monthly
means.
ROMS is a hydrodynamic model of the North West European shelf forced at the
surface by ERA-interim winds, atmospheric temperature, and precipitation fluxes.
Horizontal boundary conditions were provided by the Mercator Ocean (Toulouse,
FR) GLORYS2V1 global reanalysis. E-Hype data were used for river inputs. The
ROMS models integrated Incremental Strong constraint 4 Dimensional
Variational Analysis (IS4DVAR) advanced assimilation method system was used
for the assimilation of sea surface satellite temperature data.
Physical outputs are provided as monthly means. The reanalysis was conducted
in four sections: January 1993, 1995, 2000, and 2007 where each simulation
period overlapped the following by 8 months. Each of these sections was
initialized separately, and users should be aware of possible discontinuities
between them.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Atlantic- Iberian Biscay Irish- Ocean
IBI_ANALYSIS_FORECAST_PHYS_005_001_b
Atlantic-Iberian Biscay Irish- Ocean Physics Analysis and Forecast
The IBI MFC provides through its operational IBI Ocean Analysis and
Forecasting system, a 5-day hydrodynamic forecast (+ 1 day of hindcast as best
estimate) including high frequency processes of paramount importance to
characterize regional scale marine processes (i.e. tidal forcing, surges and high
frequency atmospheric forcing, fresh water river discharge, etc.). The system is
based on a (eddy-resolving) NEMO model application run at 1/36 deg. horizontal
resolution.
IBI_ANALYSIS_FORECAST_PHYS_005_001_b is the product of the IBI
Physical Forecasting system and it is composed by 3D daily means fields of
Temperature, Salinity, Sea Surface Height, Zonal Velocity and Meridional
Velocity, as well as by hourly means of surface fields (Sea Surface Height and
Surface Temperature and Currents). This product is daily generated by Puertos
del Estado (Nominal IBI System) and Mercator-Ocean (as Back-up System).
MORE INFO
IBI_REANALYSIS_PHYS_005_002
Atlantic-Iberian Biscay Irish- Ocean Physics Reanalysis (2002-2011)
A high-resolution 1/12º reanalysis comprising physical variables and covering the
altimetric decade (2002-2012) is provided by the MyOcean IBI-MFC for the
Atlantic-Iberian
Biscay
IrishOcean.
The Physical IBI reanalysis product is generated through the IBIRYS ocean
reanalysis system and is based on a NEMO model application similar to the one
currently used to generate the IBI-MFC daily forecast service. The NEMO
application has a free-surface and includes same tidal forcing than the IBI
forecast one. Horizontal resolution of the IBI reanalysis is 1/12º, and the vertical
one reaches up to 75 z-levels. The reanalysis run was forced with ECMWF ERAInterim 3-h atmospheric data. Boundary conditions were imposed from MyOcean
GLOBAL reanalysis run. A similar assimilation scheme to the one used in the
MyO
GLOBAL
reanalysis
were
used.
IBI_REANALYSIS_PHYS_005_002 product comprises 3D monthly and daily
mean fields of Temperature, Salinity, Sea Surface Height, Zonal and Meridional
Velocity components. Likewise, hourly mean of surface fields (Sea Surface
Height, Surface Temperature and Currents, together with barotropic velocities)
are also provided. This product was generated by the Mercator Ocean
Production Unit and it is distributed by the Puertos del Estado Dissemination
Unit.
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Atlantic- Iberian Biscay Irish- Ocean
IBI_REANALYSIS_BIO_005_003
Atlantic-Iberian Biscay Irish- Ocean BioGeoChemistry NON
ASSIMILATIVE Hindcast (2002-2011)
A high-resolution 1/12º reanalysis, comprising biogeochemical variables and
covering the altimetric decade (2002-2012) is provided by the MyOcean IBI-MFC
for
the
Atlantic-Iberian
Biscay
Irish-Ocean.
The biogeochemical model PISCES is coupled online with the ocean physics
code NEMO used to generate the IBI ocean physics reanalysis. The
Biogeochemistry model provides with 24 prognostic variables, simulating
biogeochemical cycles of oxygen, carbon and the main nutrients controlling
phytoplankton growth (nitrate, ammonium, phosphate, silicic acid and iron). The
model distinguishes four plankton functional types based on size.
IBI_REANALYSIS_BIO_005_003 product comprises 3D monthly fields for
concentration of variables such as: chlorophyll, iron, nitrate, ammonium, oxygen,
phosphate, silicate, phytoplankton Net Primary Productivity of Carbon and the
euphotic zone depth. This product was generated by the Mercator Ocean
Production Unit and it is distributed by the Puertos del Estado Dissemination
Unit.
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Mediterranean Sea
MEDSEA_ANALYSIS_FORECAST_PHYS_006_001_a
Mediterranean Sea Physics Analysis and Forecast
The physical component of the Mediterranean Forecasting System (Medcurrents) is a coupled hydrodynamic-wave model implemented over the whole
Mediterranean Basin. The model horizontal grid resolution is 1/16˚ (ca. 6-7 km)
and
has
72
unevenly
spaced
vertical
levels.
The hydrodynamics are supplied by the Nucleous for European Modelling of the
Ocean (NEMO) while the wave component is provided by WaveWatch-III. The
model solutions are corrected by the variational assimilation (based on a 3DVAR
scheme) of temperature and salinity vertical profiles and along track satellite Sea
Level Anomaly observations.
MORE INFO
MEDSEA_ANALYSIS_FORECAST_BIO_006_006
Mediterranean Sea Biogeochemistry Analysis and Forecast
The biogeochemical analysis and forecasts for the Mediterranean Sea are
produced by the OGS Production Unit by means of the OPATM-BFM model
system (described below), using as physical forcing the output of the Med-MFCcurrents products managed by the INGV Production Unit. The forecasting system
is automatically run at the CINECA supercomputing centre (Bologna, Italy).
Seven days of analysis/hindcast and ten days of forecast are produced twice per
week on Wednesday and on Saturday, and data assimilation of surface
chlorophyll satellite observations (provided by the OCTAC managed by GOSISAC-CNR) is performed once a week in the Wednesday run.
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Mediterranean Sea
MEDSEA_REANALYSIS_PHYS_006_004
Mediterranean Sea Physics Reanalysis (1987-2013)
The Mediterranean Forecasting System, physical reanalysis component, is a
hydrodynamic model, supplied by the Nucleous for European Modelling of the
Ocean (NEMO), with a variational data assimilation scheme (OceanVAR) for
temperature and salinity vertical profiles and satellite Sea Level Anomaly along
track data.The model horizontal grid resolution is 1/16˚ (ca. 6-7 km) and the
unevenly spaced vertical levels are 72.
MORE INFO
MEDSEA_REANALYSIS_BIO_006_008
Mediterranean Sea Biogechemistry Reanalysis (1999-2012)
A decadal reanalysis of Mediterranean Sea biogeochemistry at 1/16 degree was
carried out along a time period of 14 years (1999-2012), using the OPATM-BFM
biogeochemical model and data assimilation of surface chlorophyll concentration.
OPATM-BFM was driven by physical forcing fields produced as output by the
Med_MFC-Currents model. The ESA-CCI database of surface chlorophyll
concentration estimated by satellite and delivered within OCTAC was used for
data assimilation. This reanalysis provides monthly means of 3D fields of
chlorophyll, nutrients (phosphate and nitrate) and dissolved oxygen
concentrations, net primary production and phytoplankton biomass.
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Sea Level
SEALEVEL_GLO_SLA_L3_NRT_OBSERVATIONS_008_017
GLOBAL OCEAN ALONG-TRACK SEA LEVEL ANOMALIES NRT
For the Global Ocean- Mono altimeter satellite along-track sea surface heights
computed with respect to a twenty-year mean. All the missions are homogenized
with respect to a reference mission which is currently Jason-2. The acquisition of
various altimeter data is a few days at most. This product is computed with a
non-centered computation time window (6 weeks before the date).
MORE INFO
SEALEVEL_GLO_SLA_L3_REP_OBSERVATIONS_008_018
GLOBAL OCEAN ALONG-TRACK SEA LEVEL ANOMALIES
REPROCESSED (1993-ONGOING)
For the Global Ocean- Mono altimeter satellite along-track sea surface heights
computed with respect to a twenty-year mean. All the missions are homogenized
with respect to a reference mission which is currently Jason-2. This product is
computed with an optimal and centered computation time window (6 weeks
before and after the date).
MORE INFO
SEALEVEL_MED_SLA_L3_NRT_OBSERVATIONS_008_019
MEDITERRANEAN SEA ALONG-TRACK SEA LEVEL ANOMALIES
NRT
For the Mediterranean Sea- Mono altimeter satellite along-track sea surface
heights computed with respect to a twenty-year mean. All the missions are
homogenized with respect to a reference mission which is currently Jason-2. The
acquisition of various altimeter data is a few days at most. This product is
computed with a non-centered computation time window (6 weeks before the
date).
MORE INFO
SEALEVEL_MED_SLA_L3_REP_OBSERVATIONS_008_020
MEDITERRANEAN SEA ALONG-TRACK SEA LEVEL ANOMALIES
REPROCESSED (1993-ONGOING)
For the Mediterranean Sea- Mono altimeter satellite along-track sea surface
heights computed with respect to a twenty-year mean. All the missions are
homogenized with respect to a reference mission which is currently Jason-2. This
product is computed with an optimal and centered computation time window (6
weeks before and after the date).
MORE INFO
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Sea Level
SEALEVEL_MED_SLA_ASSIM_L3_NRT_OBSERVATIONS_008_021
MEDITERRANEAN SEA ALONG-TRACK SEA LEVEL ANOMALIES
NRT TAILORED FOR DATA ASSIMILATION
For the Mediterranean Sea- Mono altimeter satellite along-track sea surface
heights computed with respect to a twenty-year mean. Several corrections are
added to the product in order to subtract them from the SLA if needed: the
Dynamic Atmospheric correction (DAC), the oceanic tide and the long
wavelength
error
(LWE).
For
the
computation
of
SLA:
All the missions are homogenized with respect to a reference mission which is
currently Jason-2. The acquisition of various altimeter data is a few days at most.
This product is computed with a non-centered computation time window (6
weeks before the date).
MORE INFO
SEALEVEL_BS_SLA_L3_NRT_OBSERVATIONS_008_022
BLACK SEA ALONG-TRACK SEA LEVEL ANOMALIES NRT
For the Black Sea- Mono altimeter satellite along-track sea surface heights
computed with respect to a twenty-year mean. All the missions are homogenized
with respect to a reference mission which is currently Jason-2.
MORE INFO
SEALEVEL_BS_SLA_L3_REP_OBSERVATIONS_008_023
BLACK SEA ALONG-TRACK SEA LEVEL ANOMALIES
REPROCESSED (1993-ONGOING)
For the Black Sea- Mono altimeter satellite along-track sea surface heights
computed with respect to a twenty-year mean. All the missions are homogenized
with respect to a reference mission which is currently Jason-2. This product is
computed with an optimal and centered computation time window (6 weeks
before
and
after
the
date).
Two kinds of datasets are proposed: filtered (nominal dataset) and unfiltered.
MORE INFO
SEALEVEL_EUR_SLA_L3_NRT_OBSERVATIONS_008_024
EUROPEAN OCEAN ALONG-TRACK SEA LEVEL ANOMALIES NRT
For the European Ocean (North-West Shelf, Iberic-Biscaye-Ireland
Mediterranean Sea, Black Sea and Baltic Sea) Sea- Mono altimeter satellite
along-track sea surface heights computed with respect to a twenty-year mean.
All the missions are homogenized with respect to a reference mission which is
currently Jason-2. The acquisition of various altimeter data is a few days at most.
This product is computed with a non-centered computation time window (6
weeks before the date).
MORE INFO
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Sea Level
SEALEVEL_ARC_SLA_L3_NRT_OBSERVATIONS_008_025
ARCTIC OCEAN ALONG-TRACK SEA LEVEL ANOMALIES NRT
For the Arctic Ocean - Mono altimeter satellite along-track sea surface heights
computed with respect to a twenty-year mean. All the missions are homogenized
with respect to a reference mission which is currently Jason-2. The acquisition of
various altimeter data is a few days at most. This product is computed with a
non-centered computation time window (6 weeks before the date).
MORE INFO
SEALEVEL_GLO_REF20YTO7Y_L4_OBSERVATIONS_008_034
GLOBAL OCEAN GRIDDED SEA LEVEL ANOMALIES REFERENCE
CHANGE CORRECTION
For the Global Ocean- available on a regular grid: 0.25°x0.25°
MORE INFO
SEALEVEL_MED_REF20YTO7Y_L4_OBSERVATIONS_008_035
MEDITERRANEAN SEA GRIDDED SEA LEVEL ANOMALIES
REFERENCE CHANGE CORRECTION
For the Mediterranean Sea- available on a regular grid: 0.125°x0.125° zone:
lon:353.9375-397.0625xlat:29.9375-46.0625
MORE INFO
SEALEVEL_BS_REF20YTO7Y_L4_OBSERVATIONS_008_036
BLACK SEA GRIDDED SEA LEVEL ANOMALIES REFERENCE
CHANGE CORRECTION
For the Black Sea- available on a regular grid: 0.125°x0.125° zone: lon:26.937542.0625xlat:39.9375-47.0625
MORE INFO
SEALEVEL_GLO_NOISE_L4_NRT_OBSERVATIONS_008_032
GLOBAL OCEAN GRIDDED SEA LEVEL ANOMALIES NOISE NRT
For the Global Ocean and for Arctic and Europe areas- available on a regular
grid: 2°x2°
MORE INFO
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Sea Level
SEALEVEL_GLO_NOISE_L4_REP_OBSERVATIONS_008_033
GLOBAL OCEAN GRIDDED SEA LEVEL ANOMALIES NOISE
REPROCESSED
For the Global Ocean and for Arctic and Europe areas- available on a regular
grid: 2°x2°
MORE INFO
SEALEVEL_GLO_MDT_L4_REF_OBSERVATIONS_008_013
Global Ocean Mean Dynamic Topography
For the Global Ocean- Mean Dynamic Topography computed on a 7 years period
(1993-1999).
MORE INFO
SEALEVEL_MED_MDT_L4_REF_OBSERVATIONS_008_014
Mediterranean Sea Mean Dynamic Topography
For the Mediterranean Sea- Mediterranean Mean Dynamic Topography
computed on a 7 years period (1993-1999).
MORE INFO
SEALEVEL_GLO_MSS_L4_REF_OBSERVATIONS_008_015
Global Ocean Mean Sea Surface
For the Global Ocean- Mean sea surface above Topex/Poseidon reference
ellipsoid available on a 1/30 deg. x 1/30 deg. regular grid.
MORE INFO
Ocean Colour
OCEANCOLOUR_ARC_CHL_L3_NRT_OBSERVATIONS_009_047
Arctic Surface Chlorophyll Concentration from Satellite
observations
For the Arctic Ocean- Cholorophyll is estimated from the OC5 (case 2 waters),
developed by Francis Gohin and others at Ifremer (Gohin, F., et al., 2008.), and
from the OC488 (case 1 and 2 waters) algorithm developed at PML. Separate
chlorophyll products are produced from MODIS and VIIRS data. Daily products
are available in Near Real Time (NRT) and few days after in Delayed Time (DT).
DT is of better quality as it uses hindcast meteorological and navigational data.
MORE INFO
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Ocean Colour
OCEANCOLOUR_ARC_CHL_L3_REP_OBSERVATIONS_009_069
Arctic Chlorophyll Concentration from Satellite observations (daily
average) Reprocessed (1997-2012)
For the Arctic area,- the ESA-CCI Remote Sensing Reflectance (Rrs) are used to
compute surface Chlorophyll (mg m-3, 1 km resolution) using the regional OC5
and OC488 chlorophyll algorithms. The Rrs are generated by merging the data
from SeaWiFS, MODIS-Aqua and MERIS sensors and realigning the spectra to
that of the SeaWiFS sensor. The chlorophyll products produced at PML for
MyOcean are based on the OC5 algorithm developed by Francis Gohin and
others at Ifremer (Gohin, F., et al., 2008.), for case 2 waters, and on the newly
developed OC488 developed at PML (Taberner, M., et al, 2014), for case 1 and
case 2 waters.
MORE INFO
OCEANCOLOUR_ATL_CHL_L4_NRT_OBSERVATIONS_009_037
North Atlantic Chlorophyll (Optimal Interpolation)
For the North Atlantic Ocean- The Optimal Interpolation product of chlorophyll-a
(chl-a) observation (expressed in mg/m3) over the Atlantic. Products are
available at 1km of resolution. This product is an estimation of the daily cloudless
fields
of
chl-a.
Daily products are available in Near Real Time (NRT) and few days after in
Delayed Time (DT), with this time a better estimation of the continuous daily chl-a
fields as the number of available observations is more important (some artifacts
caused by the lack of data may appear in some regions on the NRT product).
MORE INFO
OCEANCOLOUR_ATL_CHL_L3_NRT_OBSERVATIONS_009_036
North Atlantic Surface Chlorophyll Concentration from Satellite
observations
For the North Atlantic Ocean- Cholorophyll is estimated from the OC5 (case 2
waters), developed by Francis Gohin and others at Ifremer (Gohin, F., et al.,
2008.), and from the OC488 (case 1 and 2 waters) algorithm developed at PML.
Separate chlorophyll products are produced from MODIS and VIIRS data. Daily
products are available in Near Real Time (NRT) and few days after in Delayed
Time (DT).
DT is of better quality as it uses hindcast meteorological and
navigational data.
MORE INFO
OCEANCOLOUR_ATL_CHL_L3_REP_OBSERVATIONS_009_067
North Atlantic Chlorophyll Concentration from Satellite
observations (daily average) Reprocessed (1997-2012)
For the North Altlantic area,- the ESA-CCI Remote Sensing Reflectance (Rrs)
are used to compute surface Chlorophyll (mg m-3, 1 km resolution) using the
regional
OC5
and
OC488
chlorophyll
algorithms.
The Rrs are generated by merging the data from SeaWiFS, MODIS-Aqua and
MERIS sensors and realigning the spectra to that of the SeaWiFS sensor.
The chlorophyll products produced at PML for MyOcean are based on the OC5
algorithm developed by Francis Gohin and others at Ifremer (Gohin, F., et al.,
2008.), for case 2 waters, and on the newly developed OC488 developed at PML
(Taberner, M., et al, 2014), for case 1 and case 2 waters.
MORE INFO
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Ocean Colour
OCEANCOLOUR_BAL_CHL_L3_NRT_OBSERVATIONS_009_049
Baltic Sea, Ocean Colour Chlorophyll (daily observation)
For the Baltic Sea- the chlorophyll-a observation (expressed in mg/m3) products
are available at 1km of resolution.
MORE INFO
OCEANCOLOUR_BAL_CHL_L3_REP_OBSERVATIONS_009_080
Baltic Sea Surface Chlorophyll Concentration from Multi Satellite
observations Reprocessed (ESA-CCI) (1997-2012)
For the Baltic Sea, the surface chlorophyll concentration (CHL) in the Baltic Sea
(BAL) as a reprocessed time series (REP) is calculated. Primary input data are
Level-3 (L3) remote-sensing reflectances (RRS) provided by the ESA-CCI
project, which are daily averages at ~ 4 km spatial resolution of the merging of
SeaWiFS, MODIS-Aqua and MERIS data. CHL is retrieved by the Multi-layer
Perceptron (MLP) presented by D'Alimonte et al. (2011). The CHL product is
generated by the Group for Satellite Oceanography (GOS-ISAC) of the Italian
National Research Council (CNR), in Rome.
MORE INFO
OCEANCOLOUR_BS_CHL_L4_NRT_OBSERVATIONS_009_045
Black Sea Monthly and Weekly Interpolated means of Surface
Chlorophyll Concentration from Satellite observations
For the Black Sea - Surface Chlorophyll (mg m-3) is operationally produced using
regional ocean color algorithms. The Group for Satellite Oceanography (GOSISAC) of the Italian National Research Council (CNR), in Rome, uses the
algorithm developed by Kopelevich et al. (2013, BSAlg) for near real time and
delayed time data from MODIS-Aqua and NPP-VIIRS sensors.
MORE INFO
OCEANCOLOUR_BS_CHL_L3_NRT_OBSERVATIONS_009_044
Black Sea Surface Chlorophyll Concentration from Satellite
observations
For the Black Sea - Surface Chlorophyll (mg m-3, 1 km resolution) is
operationally produced using regional ocean color algorithms. The Group for
Satellite Oceanography (GOS-ISAC) of the Italian National Research Council
(CNR), in Rome, uses the algorithm developed by Kopelevich et al. (2013,
BSAlg) for near real time and delayed time data from MODIS-Aqua and NPPVIIRS sensors.
MORE INFO
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Ocean Colour
OCEANCOLOUR_BS_CHL_L3_REP_OBSERVATIONS_009_071
Black Sea Surface Chlorophyll Concentration from Multi Satellite
observations Reprocessed (ESA-CCI) (1997-2012)
For the Black Sea, the ESA-CCI input Remote Sensing Reflectance (Rrs)
spectrum is used to compute surface Chlorophyll (mg m-3, 4 km resolution) via
regional ocean color algorithm (BSAlg, Kopelevich et al., 2013). BSAlg algorithm
is used for near real time, delayed time and re-processed data by the Group for
Satellite Oceanography (GOS-ISAC) of the Italian National Research Council
(CNR), in Rome. ESA-CCI Rrs results from the merging of SeaWiFS, MODISAqua and MERIS sensors.
MORE INFO
OCEANCOLOUR_BS_CHL_L4_REP_OBSERVATIONS_009_079
Black Sea Surface Chlorophyll Concentration from Multi Satellite
observations Reprocessed (ESA-CCI) (1997-2012)
Daily surface chlorophyll concentration without data voids are computed by
applying the interpolation procedure to the CHL L3 REP products, which are in
turn derived by applying, for the Black Sea, the BSAlg algorithm (Kopelevich et
al., 2013) to the ESA-CCI remote sensing reflectance (Rrs) spectra. ESA-CCI
Rrs results from the merging of SeaWiFS, MODIS-Aqua and MERIS sensors.
MORE INFO
OCEANCOLOUR_MED_CHL_L4_NRT_OBSERVATIONS_009_041
Mediterranean Sea Monthly and Weekly Interpolated means of
Surface Chlorophyll Concentration from Satellite observations
For the Mediterranean Sea - Surface Chlorophyll (mg m-3, 1 km resolution) is
operationally produced using regional ocean color algorithms. The Group for
Satellite Oceanography (GOS-ISAC) of the Italian National Research Council
(CNR), in Rome, uses an updated version of the algorithm reported in Santoleri
et al. (2008) for case 1 waters for near real time and delayed time data from
MODIS-Aqua and NPP-VIIRS sensors.
MORE INFO
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Ocean Colour
OCEANCOLOUR_MED_CHL_L3_NRT_OBSERVATIONS_009_040
Mediterranean Sea Surface Chlorophyll Concentration from Satellite
observations
For the Mediterranean Sea - Surface Chlorophyll (mg m-3, 1 km resolution) is
operationally produced using regional ocean color algorithms. The Group for
Satellite Oceanography (GOS-ISAC) of the Italian National Research Council
(CNR), in Rome, uses an updated version of the algorithm reported in Santoleri
et al. (2008) for case 1 waters for near real time and delayed time data from
MODIS-Aqua and NPP-VIIRS sensors.
MORE INFO
OCEANCOLOUR_MED_CHL_L3_REP_OBSERVATIONS_009_073
Mediterranean Sea Surface Chlorophyll Concentration from Multi
Satellite observations Reprocessed (ESA-CCI) (1997-2012)
For the Mediterranean Sea, the ESA-CCI input Remote Sensing Reflectance
(Rrs) spectrum is used to compute surface Chlorophyll (mg m-3, 4 km resolution)
via regional ocean color algorithm (MedOC4, Volpe et al., 2007). This algorithm
was developed and used for near real time, delayed time and re-analysis of
SeaWiFS data by the Group for Satellite Oceanography (GOS-ISAC) of the
Italian National Research Council (CNR), in Rome. ESA-CCI Rrs results from the
merging of SeaWiFS, MODIS-Aqua and MERIS sensors.
MORE INFO
OCEANCOLOUR_MED_CHL_L4_REP_OBSERVATIONS_009_078
Mediterranean Sea Surface Chlorophyll Concentration from Multi
Satellite observations Reprocessed (ESA-CCI) (1997-2012)
Daily surface chlorophyll concentration without data voids are computed by
applying the interpolation procedure to the CHL L3 REP products, which are in
turn derived by applying, for the Mediterranean Sea, the MedOC4 algorithm
(Volpe et al., 2007) to the ESA-CCI remote sensing reflectance (Rrs) spectra.
ESA-CCI Rrs results from the merging of SeaWiFS, MODIS-Aqua and MERIS
sensors.
MORE INFO
OCEANCOLOUR_EUR_CHL_L3_NRT_OBSERVATIONS_009_050
European Sea Surface Chlorophyll Concentration from Multi
Satellite observations
This product is operationally produced by merging the daily CHL regional
products over the Atlantic Ocean, the Baltic Sea, the Black Sea, and the
Mediterranean Sea. Single CHL daily images are the Case I – Case II products,
which are produced accounting for bio-optical differences in these two types of
water.
MORE INFO
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Ocean Colour
OCEANCOLOUR_GLO_CHL_L4_NRT_OBSERVATIONS_009_033
Global Ocean, Ocean Colour Chlorophyll (Optimal Interpolation)
For the Global Ocean- The Optimal Interpolation product of chlorophyll-a (chl-a)
observation (expressed in mg/m3, 4km) at Global level. Products are available at
4km of resolution. This product is an estimation of the daily cloudless fields of
chl-a.
Daily products are available in Near Real Time (NRT) and few days after in
Delayed Time (DT), with this time a better estimation of the continuous daily chl-a
fields as the number of available observations is more important (some artifacts
caused by the lack of data may appear in some regions on the NRT product).
MORE INFO
OCEANCOLOUR_GLO_CHL_L3_NRT_OBSERVATIONS_009_032
Global Ocean, Ocean Colour Chlorophyll (daily observation)
For the Global Ocean- The chlorophyll-a observation (expressed in mg/m3) at
Global
level.
Products are available at 4km, 25km or 100km of resolution
MORE INFO
OCEANCOLOUR_GLO_CHL_L3_REP_OBSERVATIONS_009_065
Global Surface Chlorophyll Concentration from Satellite
observations (daily average) Reprocessed (1997-2012)
For the Global Ocean- Daily mean sea surface Chlorophyll-a concentration in
mg.m-3 derived from the multi-sensor, merged, Rrs produced by ESA's OC-CCI
project.
MORE INFO
OCEANCOLOUR_ARC_OPTICS_L3_NRT_OBSERVATIONS_009_046
Arctic Remote Sensing Reflectances, Attenuation Coefficient at
490nm, and inherent optical properties from Satellite observations
For the Arctic Ocean- PML's Inherent Optical Properties model, Remote Sensing
Reflectances, and attenuation coefficient of light at 490 nm is operationally
produced by the Plymouth Marine Laboratory Remote Sensing Group in
Plymouth, United Kingdom. Daily products are available in Near Real Time
(NRT) and few days after in Delayed Time (DT). DT is of better quality as it uses
hindcast meteorological and navigational data.
MORE INFO
© EU Copernicus Marine Service – Public - May 2015
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Ocean Colour
OCEANCOLOUR_ARC_OPTICS_L3_REP_OBSERVATIONS_009_068
Arctic Ocean, Ocean Optics Products (daily average) Reprocessed
(1997-2012)
For the Arctic Ocean- Plymouth Marine Laboratory is providing Ocean Colour,
Climate Change Initiative (OC-CCI) Remote Sensing Reflectances for the
MyOcean2 ARC region. These Rrs are derived from SeaWiFS, MODIS-AQUA,
and MERIS data covering the period 1997-2013 at 1km resolution.
MORE INFO
OCEANCOLOUR_ATL_OPTICS_L3_NRT_OBSERVATIONS_009_034
North Atlantic Remote Sensing Reflectances, Attenuation
Coefficient at 490nm, and inherent optical properties from Satellite
observations
For the North Atlantic Ocean- PML's Inherent Optical Properties model, Remote
Sensing Reflectances, and attenuation coefficient of light at 490 nm is
operationally produced by the Plymouth Marine Laboratory Remote Sensing
Group in Plymouth, United Kingdom. Daily products are available in Near Real
Time (NRT) and few days after in Delayed Time (DT). DT is of better quality as
it uses hindcast meteorological and navigational data.
MORE INFO
OCEANCOLOUR_ATL_OPTICS_L3_REP_OBSERVATIONS_009_066
Pan European Seas, Ocean Optics Products (monthly average)
Reprocessed (1997-2010)
For the North Atlantic Ocean- Plymouth Marine Laboratory is providing Ocean
Colour, Climate Change Initiative (OC-CCI) Remote Sensing Reflectances for the
MyOcean2 ATL region. These Rrs are derived from SeaWiFS, MODIS-AQUA,
and MERIS data covering the period 1997-2013 at 1km resolution.
MORE INFO
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Ocean Colour
OCEANCOLOUR_BAL_OPTICS_L3_NRT_OBSERVATIONS_009_048
Baltic Sea, Ocean Colour Optics product (daily observation)
For the Baltic Sea- The “Optics” products available over Baltic Sea are:
*RRSxxx : the fully normalised remote sensing reflectances at xxx nm
(expressed in sr-1). The list of spectral values is: 412, 443, 490, 555 and 670 nm.
*CDM443: the coloured dissolved and detrital organic materials absorption
coefficient
at
443nm
(expressed
in
m-1).
*BBP443 is the particulate back-scattering coefficient at 443nm (expressed in m1).
*KD490 is the diffuse attenuation coefficient at 490nm (expressed in m-1).
*ZSD is the Secchi disk depth estimate (expressed in m).
Products are available at 1km of resolution
MORE INFO
OCEANCOLOUR_BS_OPTICS_L4_NRT_OBSERVATIONS_009_043
Black Sea Monthly and Weekly means of Attenuation Coefficient at
490nm from Satellite observation
For the Black Sea – Diffuse attenuation coefficient of light at 490 nm is
operationally produced by the Group for Satellite Oceanography (GOS-ISAC) of
the Italian National Research Council, in Rome, for near real time and delayed
time data from MODIS-Aqua and NPP-VIIRS sensors.
MORE INFO
OCEANCOLOUR_BS_OPTICS_L3_NRT_OBSERVATIONS_009_042
Black Sea Remote Sensing Reflectances and Attenuation
Coefficient at 490nm from Satellite observations
For the Black Sea - Remote Sensing Reflectances and diffuse attenuation
coefficient of light at 490 nm is operationally produced by the Group for Satellite
Oceanography (GOS-ISAC) of the Italian National Research Council, in Rome,
for near real time and delayed time data from MODIS-Aqua and NPP-VIIRS
sensors.
MORE INFO
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Ocean Colour
OCEANCOLOUR_MED_OPTICS_L4_NRT_OBSERVATIONS_009_039
Mediterranean Sea Monthly and Weekly means of Attenuation
Coefficient at 490nm from Satellite observations
For the Mediterranean Sea - Diffuse attenuation coefficient of light at 490 nm is
operationally produced by the Group for Satellite Oceanography (GOS-ISAC) of
the Italian National Research Council, in Rome, for near real time and delayed
time data from MODIS-Aqua and NPP-VIIRS sensors.
MORE INFO
OCEANCOLOUR_MED_OPTICS_L3_NRT_OBSERVATIONS_009_038
Mediterranean Sea Remote Sensing Reflectances and Attenuation
Coefficient at 490nm from Satellite observations
For the Mediterranean Sea - Remote Sensing Reflectances and diffuse
attenuation coefficient of light at 490 nm is operationally produced by the Group
for Satellite Oceanography (GOS-ISAC) of the Italian National Research Council,
in Rome, for near real time and delayed time data from MODIS-Aqua and NPPVIIRS sensors.
MORE INFO
OCEANCOLOUR_GLO_OPTICS_L3_NRT_OBSERVATIONS_009_030
Global Ocean, Ocean Optics Products (daily observation)
For the Global Ocean- The “Optics” products available at Global level are:
*RRSxxx : the fully normalised remote sensing reflectances at xxx nm
(expressed in sr-1). The list of spectral values is: 412, 443, 490, 555 and 670 nm.
*CDM443: the coloured dissolved and detrital organic materials absorption
coefficient
at
443nm
(expressed
in
m-1).
*BBP443 is the particulate back-scattering coefficient at 443nm (expressed in m1).
*KD490 is the diffuse attenuation coefficient at 490nm (expressed in m-1).
*ZSD is the Secchi disk depth estimate (expressed in m).
Products are available at 4km, 25km or 100km of resolution
MORE INFO
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Ocean Colour
OCEANCOLOUR_GLO_OPTICS_L3_REP_OBSERVATIONS_009_064
Global Ocean, Ocean Optics Products (daily average) Reprocessed
(1997-2012)
For the Global Ocean- “Optics” products are derived from a combination of
SeaWIFS, MODIS-Aqua, and MERIS sensor data. These products include the
RRSxxx, which is the daily remote sensing reflectance at xxx nm (expressed in
sr-1). The list of spectral values is: 412, 443, 490, 510, 555, and 670 nm.
MORE INFO
Sea Surface Temperature
SST_GLO_SST_L4_NRT_OBSERVATIONS_010_014
Global Ocean OSTIA Diurnal Skin Sea Surface Temperature
For the Global Ocean- the OSTIA diurnal skin Sea Surface Temperature product
provides
daily
gap-free
maps
of:
*Hourly mean skin Sea Surface Temperature at 0.25° x 0.25° horizontal
resolution, using in-situ and satellite data from infra-red radiometers.
MORE INFO
SST_GLO_SST_L4_NRT_OBSERVATIONS_010_001
Global Ocean OSTIA Sea Surface Temperature and Sea Ice Analysis
For the Global Ocean- the OSTIA global foundation Sea Surface Temperature
product
provides
daily
gap-free
maps
of:
*Foundation Sea Surface Temperature at 0.05° x 0.05° horizontal resolution,
using in-situ and satellite data from both infra-red and micro-wave radiometers.
*Sea Surface Temperature anomaly from the Pathfinder climatology at 0.25° x
0.25°
horizontal
resolution.
*Estimates of SST bias in each of the satellites contributing to the OSTIA SST
analysis
at
0.25°
x
0.25°
horizontal
resolution.
Monthly and seasonal means of the daily Sea Surface Temperature product at
0.25° x 0.25° horizontal resolution are also available. This product provides the
foundation Sea Surface Temperature which is the surface temperature free of
diurnal variability.
MORE INFO
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Sea Surface Temperature
SST_GLO_SST_L4_REP_OBSERVATIONS_010_011
Global Ocean OSTIA Sea Surface Temperature and Sea Ice
Reprocessed (1985-2007)
For the Global Ocean- The OSTIA global Sea Surface Temperature Reanalysis
product
provides
daily
gap-free
maps
of:
Foundation sea surface temperature (referred to as an L4 product) at 0.05deg.x
0.05deg. horizontal resolution, using in-situ and satellite data from infra-red
radiometers.
Sea Surface Temperature anomaly from the Pathfinder climatology at 0.25° x
0.25°
horizontal
resolution.
This product provides the foundation Sea Surface Temperature, which is the
temperature
free
of
diurnal
variability.
Monthly and seasonal means of the daily Sea Surface Temperature product at
0.25° x 0.25° horizontal resolution are also available.
MORE INFO
SST_GLO_SST_L4_NRT_OBSERVATIONS_010_005
Global Ocean Sea Surface Temperature Multi Product Ensemble
(GMPE)
For The Global Ocean- The GHRSST Multi-Product Ensemble (GMPE) system
has been implemented at the UK Met Office which takes inputs from various
analysis production centres on a routine basis and produces ensemble products
at 0.25deg.x0.25deg. horizontal resolution.
MORE INFO
SST_GLO_SST_L3S_NRT_OBSERVATIONS_010_010
Global Ocean Sea Surface Temperature L3 Observations
For the Global Ocean- Sea Surface Temperature L3 Observations
MORE INFO
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Sea Surface Temperature
SST_EUR_SST_L4_NRT_OBSERVATIONS_010_018
European Ocean- Sea Surface Temperature Multi Sensor L4 threehourly Observations
For the European Ocean- the L4 multi-sensor three-hourly (day and night)
satellite product is a 2km horizontal resolution subskin sea surface temperature
analysis which contains the diurnal warming signal.
MORE INFO
SST_EUR_SST_L3S_NRT_OBSERVATIONS_010_009_a
European Ocean- Sea Surface Temperature Multi-Sensor L3
Observations
For The European Ocean- The L3 multi-sensor (supercollated) product is built
from bias-corrected L3 mono-sensor (collated) products at the resolution 0.02
degrees. If the native collated resolution is N and N < 0.02 the change
(degradation) of resolution is done by averaging the best quality data. If N > 0.02
the collated data are associated to the nearest neighbour without interpolation
nor artificial increase of the resolution.
MORE INFO
SST_EUR_SST_L3C_NRT_OBSERVATIONS_010_009_b
European Ocean- Sea Surface Temperature Mono-Sensor L3
Observations
For the European Ocean- Sea Surface Temperature Mono-Sensor L3
Observations.
MORE INFO
SST_ARC_SST_L4_NRT_OBSERVATIONS_010_008_b
Arctic Ocean High resolution Sea Surface Temperature Analysis.
For The Arctic Ocean- The MET.NO Sea Surface Temperature analysis aims at
providing daily gap-free maps of sea surface temperature, referred as L4
product, at 0.03deg. x 0.03deg. horizontal resolution, using satellite data from
infra-red (and microwave radiometers. It is the sea surface temperature
operational nominal product for the Arctic.
MORE INFO
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Sea Surface Temperature
SST_BAL_SST_L4_NRT_OBSERVATIONS_010_007_b
Baltic Sea- Sea Surface Temperature Analysis
For the Baltic Sea- The DMI Sea Surface Temperature analysis aims at providing
daily gap-free maps of sea surface temperature, referred as L4 product, at
0.02deg. x 0.02deg. horizontal resolution, using satellite data from infra-red and
microwave radiometers.
MORE INFO
SST_BAL_SST_L4_REP_OBSERVATIONS_010_016
Baltic Sea- Sea Surface Temperature Reprocessed (1982-2009)
For the Baltic Sea- The DMI Sea Surface Temperature reprocessed analysis
aims at providing daily gap-free maps of sea surface temperature, referred as L4
product, at 0.03deg. x 0.03deg. horizontal resolution, using satellite data from
infra-red radiometers.
MORE INFO
SST_NWS_SST_L4_NRT_OBSERVATIONS_010_003
Atlantic European North West Shelf Ocean - ODYSSEA Sea Surface
Temperature Analysis
For the Atlantic European North West Shelf Ocean- The ODYSSEA NWS Sea
Surface Temperature analysis aims at providing daily gap-free maps of sea
surface temperature, referred as L4 product, at 0.02deg x 0.02deg horizontal
resolution, using satellite data from both infra-red and micro-wave radiometers. It
is the sea surface temperature operational nominal product for the Northwest
Shelf Sea.
MORE INFO
SST_MED_SST_L4_NRT_OBSERVATIONS_010_004
Mediterranean Sea High Resolution and Ultra High Resolution Sea
Surface Temperature Analysis
For the Mediterranean Sea- The CNR MED Sea Surface Temperature provides
daily gap-free maps (L4) at 0.0625deg. x 0.0625deg. horizontal resolution over
the Mediterranean Sea. The data are obtained from infra-red measurements
collected by satellite radiometers and statistical interpolation. It is the MyOcean
sea surface temperature nominal operational product for the Mediterranean Sea.
MORE INFO
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Sea Surface Temperature
SST_MED_SST_L3S_NRT_OBSERVATIONS_010_012
Mediterranean Sea - High Resolution and Ultra High Resolution L3S
Sea Surface Temperature
For the Mediterranean Sea- The L3S data consist of supercollated (mergedmultisensor) L3P SST data remapped over the Mediterranean Sea at high
(HR=1/16 deg.) spatial resolution, representative of night SST values (00:00
UTC).
The L3S data are produced selecting only the highest quality input data from
input L2P images within a strict temporal window (local nightime), to avoid diurnal
cycle and cloud contamination. Consequently, the L3S processing is run daily,
but L3S files are produced only if valid SST measurements are present on the
area considered.
MORE INFO
SST_BS_SST_L4_NRT_OBSERVATIONS_010_006
Black Sea High Resolution and Ultra High Resolution Sea Surface
Temperature Analysis
For the Black Sea- The CNR BS Sea Surface Temperature provides daily gapfree maps (L4) at 0.0625° x 0.0625° horizontal resolution over the Black Sea.
The data are obtained from infra-red measurements collected by satellite
radiometers and statistical interpolation. It is the MyOcean sea surface
temperature nominal operational product for the Black Sea.
MORE INFO
SST_BS_SST_L3S_NRT_OBSERVATIONS_010_013
Black Sea - High Resolution and Ultra High Resolution L3S Sea
Surface Temperature
For the Black Sea- The L3S data consist of supercollated(merged-multisensor)
L3P SST data remapped over the Black Sea, at high (HR&#61;1/16 deg.) and
Ultra High (UHR&#61;0.01°) spatial resolution, representative of night SST
values
(00:00
UTC).
The L3S data are produced selecting only the highest quality input data from
input L2P images within a strict temporal window (local nightime), to avoid diurnal
cycle and cloud contamination. Consequently, the L3S processing is run daily,
but L3S files are produced only if valid SST measurements are present on the
area considered.
MORE INFO
SST_MED_SST_L4_REP_OBSERVATIONS_010_021
Mediterranean Sea - High Resolution L4 Sea Surface Temperature
Reprocessed (1981-2012)
For the Mediterranean Sea- the CNR has reprocessed Pathfinder V5.2 (PFV52)
AVHRR data over period Nov 1981-Dec 2012 to provide with daily gap-free maps
(L4) at the original PFV52 resolution at 0.0417° x 0.0417°. The data are
interpolated through an Optimal Interpolation algorithm.
MORE INFO
SST_BS_SST_L4_REP_OBSERVATIONS_010_022
Black Sea - High Resolution L4 Sea Surface Temperature
Reprocessed (1981-2012)
For the Black Sea- the CNR has reprocessed Pathfinder V5.2 (PFV52) AVHRR
data over period Nov 1981-Dec 2012 to provide daily gap-free maps (L4) at the
original PFV52 resolution at 0.0417° x 0.0417°. The data are interpolated through
an Optimal Interpolation algorithm.
MORE INFO
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Sea Ice
SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_001
Global Ocean - Arctic and Antarctic - Sea Ice Concentration, Edge,
Type and Drift
For the Global - Arctic and Antarctic - Ocean. The OSI SAF delivers three global
sea ice products in operational mode: sea ice concentration, sea ice edge, sea
ice type (OSI-401 OSI-402 and OSI-403). These products are delivered daily at
10km resolution in a polar stereographic projection covering the Northern
Hemisphere and the Southern Hemisphere. It is the Sea Ice operational nominal
product for the Global Ocean. In addition, a sea ice drift product is delivered at
60km resolution in a polar stereographic projection covering the Northern and
Southern Hemispheres. The sea ice motion vectors have a time-span of 2 days.
MORE INFO
SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006
Global Ocean - High Resolution SAR Sea Ice Drift
DTU Space produces polar covering Near Real Time gridded ice displacement
fields obtained by MCC processing of Sentinel-1 SAR, Envisat ASAR WSM
swath data or RADARSAT ScanSAR Wide mode data . The nominal temporal
span between processed swaths is 24hours, the nominal product grid resolution
is a 10km.
MORE INFO
SEAICE_GLO_SEAICE_L4_REP_OBSERVATIONS_011_009
Global Ocean Sea Ice Concentration Time Series REPROCESSED
(1978-2009)
The reprocessed sea ice concentration dataset of the EUMETSAT OSI SAF
(OSI-409), covering the period from October 1978 to October 2009 (SMMR and
SSM/I). Ice concentration is computed from atmospherically corrected SSM/I
brightness temperatures, using a combination of state-of-the-art algorithms and
dynamic tie-points. It includes error-bars for each grid cell (uncertainties). Version
1 of the dataset was released early 2010.
MORE INFO
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Sea Ice
SEAICE_ARC_SEAICE_L4_NRT_OBSERVATIONS_011_008
Arctic Ocean - Sea and Ice Surface Temperature
Arctic Sea and Ice surface temperature
MORE INFO
SEAICE_ARC_SEAICE_L4_NRT_OBSERVATIONS_011_003
Arctic Ocean – Sea Ice Charts – Greenland
For Greenland waters - The operational sea ice service at DMI provides ice
charts of the sea ice area around Greenland. Charts are produced at irregular
intervals daily and show the ice concentration in WMO defined ice concentration
intervals. A supplemental overview product is produced twice weekly.
MORE INFO
SEAICE_ARC_SEAICE_L4_NRT_OBSERVATIONS_011_002
Arctic Ocean - Sea Ice Concentration Charts - Svalbard
For the Arctic Ocean - The operational sea ice service at MET Norway provides
ice charts of the Arctic area from east Greenland to Novaja Semlja. The charts
are produced every weekday and show the ice concentration in WMO defined
concentration intervals.
MORE INFO
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Sea Ice
SEAICE_ARC_SEAICE_L4_NRT_OBSERVATIONS_011_007
Arctic Ocean - SAR Sea Ice Berg Concentration
The iceberg product describes iceberg concencentration as number of icebergs
counted within 10x10 km grid cells. The product is derived by applying a
Constant False Alarm Rate (CFAR) algorithm on data from Synthetic Aperture
Radar (SAR)satellite sensors.
MORE INFO
SEAICE_ARC_SEAICE_L3_REP_OBSERVATIONS_011_010
Arctic Ocean Sea Ice Drift REPROCESSED (1999-ongoing)
Arctic sea ice drift dataset at 3, 6 and 30 day lag during winter
MORE INFO
SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_004
Baltic Sea - Sea Ice Concentration and Thickness Charts
For the Baltic Sea- The operational sea ice service at FMI provides ice
parameters over the Baltic Sea. The parameters are based on ice chart produced
on daily basis during the Baltic Sea ice season and show the ice concentration in
a 1 km grid. Ice thickness chart (ITC) is a product based on the most recent
available ice chart (IC) and a SAR image. The SAR data is used to update the
ice information in the IC. The ice regions in the IC are updated according to a
SAR segmentation and new ice thickness values are assigned to each SAR
segment based on the SAR backscattering and the ice IC thickness range at that
location.
MORE INFO
SEAICE_BAL_SEAICE_L4_NRT_OBSERVATIONS_011_011
Baltic Sea - SAR Sea Ice Thickness and Drift
For the Baltic Sea - The operational sea ice service at FMI provides ice
parameters over the Baltic Sea. The products are based on SAR images and are
produced on pass-by-pass basis during the Baltic Sea ice season, and show the
ice thickness and drift in a 500 m grid.
MORE INFO
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Sea Ice
SEAICE_ANT_SEAICE_L4_NRT_OBSERVATIONS_011_012
Antarctic Ocean - Sea Ice Edge from SAR
For the Antarctic Ocean - The British Antarctic Survey (BAS) produces near real
time gridded ice edge position information obtained by manual interpretation of
Sentinel-1 Extra Wide Swath mode data and RADARSAT ScanSAR Wide mode
data using an ArcGIS system. The nominal temporal span between interpreted
swaths is 24hours, the nominal product grid resolution is 1km.
MORE INFO
Wind
WIND_GLO_WIND_L4_NRT_OBSERVATIONS_012_004
Global Ocean Wind L4 Near real Time 6 hourly Observations
For the Global Ocean- The IFREMER CERSAT Global Blended Mean Wind
Fields include wind components (meridional and zonal), wind module, wind
stress. The associated error estimates are also provided. They are estimated
from scatterometers ASCAT and OSCAT retrievals
and from ECMWF
operational wind analysis with a horizontal resolution of 0.25x0.25 degrees and 6
hours in time, and available at synoptic time 00h:00; 06h:00; 12h:00; 18h:00
since January, 1st 2013.
MORE INFO
WIND_GLO_WIND_L4_NRT_OBSERVATIONS_012_001
Global Ocean Wind Observations
For the Global Ocean- The IFREMER CERSAT Global Blended Mean Wind
Fields include wind components (meridional and zonal), wind module, wind
stress. The associated error estimates are also provided. They are estimated
from satellite observations (QuikSCAT and ASCAT scatterometers and SSM/I
radiometers) and from ECMWF operational wind analysis with a horizontal
resolution of 0.25x0.25 degrees and 6 hours in time, and available at synoptic
time 00h:00; 06h:00; 12h:00; 18h:00 from the 1st April 2004 up to the 22th
November 2009.
MORE INFO
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Wind
WIND_GLO_WIND_L3_NRT_OBSERVATIONS_012_002
Global Ocean Daily Gridded Sea Surface Winds from Scatterometer
For the Global Ocean- The product contains daily L3 gridded sea surface wind
observations from available scatterometers with resolutions corresponding to the
L2
swath
products:
*0.5 degrees grid for the 50 km scatterometer L2 inputs,
*0.25 degrees grid based on 25 km scatterometer swath observations,
*and 0.125 degrees based on 12.5 km scatterometer swath observations, i.e.,
from
the
coastal
products.
Data from ascending and descending passes are gridded separately. The
reported wind is equivalent neutral wind, and in addition stress-equivalent wind
and wind stress are provided. Moreover, wind stress curl and divergence are also
available from April 8 2015 onwards. The NRT L3 products follow the NRT
availability of the EUMETSAT OSI SAF L2 products and are be available for:
*The ASCAT scatterometers on MetOp-A and MetOp-B at 0.125 and 0.25
degrees;
*The OSCAT on Oceansat-2 with a resolution of 0.50 degrees;
MORE INFO
WIND_GLO_WIND_L4_CLIM_OBSERVATIONS_012_003
Global Ocean Wind Observations Climatology REPROCESSED
(Monthly means) (2007-2012)
For the Global Ocean- The IFREMER CERSAT surface wind climatology Fields
include wind components (meridional and zonal), wind module, wind stress. They
are estimated from ASCAT retrievals. The analyses are estimated as monthly
averaged data over global ocean with spatial resolution of 0.25x0.25 degrees in
latitude and longitude, They are available since April 2007.
MORE INFO
In Situ
INSITU_GLO_NRT_OBSERVATIONS_013_030
Global Ocean- In-Situ Near-Real-Time Observations
For the Global Ocean- The In Situ Thematic Assembly Centre (INS TAC)
integrates near real-time in situ in situ observation data. These data are collected
from main global networks (Argo, GOSUD, OceanSITES, GTS) completed by
European data provided by EUROGOOS regional systems and national data
providers assembled by the In Situ TAC regional components. The data are
quality controlled using automated procedures and assessed using statistical
analysis residuals. It is updated continuously and provides observations with 2448 hours from acquisition in average.
MORE INFO
INSITU_GLO_TS_OA_NRT_OBSERVATIONS_013_002_a
Global Ocean- Real time in-situ observations objective analysis
For the Global Ocean- Gridded objective analysis fields of temperature and
salinity using profiles from the in-situ near real time database are produced
monthly. Objective analysis is based on a statistical estimation method that
allows presenting a synthesis and a validation of the dataset, providing a support
for localized experience (cruises), providing a validation source for operational
models, observing seasonal cycle and inter-annual variability.
MORE INFO
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In Situ
INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b
Global Ocean- CORA- In-situ Observations Yearly Delivery in
Delayed Mode (1950-2013)
For the Global Ocean- In-situ observation yearly delivery in delayed mode. The
In Situ delayed mode product designed for reanalysis purposes integrates the
best available version of in situ data for temperature and salinity measurements.
These data are collected from main global networks (Argo, GOSUD,
OceanSITES, World Ocean Database) completed by European data provided by
EUROGOOS regional systems and national system by the regional INS TAC
components. It is updated on a yearly basis. The time coverage has been
extended in the past by integration of EN4 data for the period 1950-1990.
MORE INFO
INSITU_GLO_TS_OA_REP_OBSERVATIONS_013_002_b
Global Ocean- Delayed Mode gridded CORA- In-situ Observations
objective analysis in Delayed Mode (1990-2013)
For the Global Ocean- Gridded objective analysis fields of temperature and
salinity using profiles from the reprocessed in-situ global product CORA
(INSITU_GLO_TS_REP_OBSERVATIONS_013_001_b)
using
the
ISAS
software. Objective analysis is based on a statistical estimation method that
allows presenting a synthesis and a validation of the dataset, providing a
validation source for operational models, observing seasonal cycle and interannual variability.
MORE INFO
INSITU_ARC_NRT_OBSERVATIONS_013_031
Arctic Ocean- In Situ Near Real Time Observations
For the Arctic Oceans- The In Situ Thematic Assembly Centre (INS TAC)
integrates near real-time in situ observation data. These data are collected from
the Arctic ROOS members and complemented by the observation collected by
the Global INS TAC in the area. The data are quality controlled using automated
procedures. It is updated continuously and provides observations within 24-48
hours from acquisition in average.
MORE INFO
INSITU_ARC_TS_REP_OBSERVATIONS_013_037
Arctic- In-situ Observations Yearly Delivery in Delayed Mode (19902013)
For the Arctic Oceans- In-situ observation yearly delivery in delayed mode. The
In Situ delayed mode product designed for reanalysis purposes integrates the
best available version of in situ data for temperature and salinity measurements.
These data are collected from national observing systems operated by Arctic
ROOS members, scientific cruises from SeaDataNet NODCs completed by main
global networks (Argo, GOSUD, OceanSITES, World Ocean Database). It is
updated on a yearly basis. This product is delivered by authenticated FTP and is
elaborated jointly with the SeaDataNet2 project.
MORE INFO
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In Situ
INSITU_BAL_NRT_OBSERVATIONS_013_032
Baltic Sea- In Situ Near Real Time Observations
For the Baltic Sea- The In Situ Thematic Assembly Centre (INS TAC) integrates
near real-time in situ observation data. These data are collected from the BOOS
members and complemented by the observation collected by the Global INS
TAC in the area. The data are quality controlled using automated procedures. It
is updated continuously and provides observations with 24-48 hours from
acquisition in average
MORE INFO
INSITU_BAL_TS_REP_OBSERVATIONS_013_038
Baltic- In-situ Observations Yearly Delivery in Delayed Mode (19902013)
For the Baltic Sea- In-situ observation yearly delivery in delayed mode. The In
Situ delayed mode product designed for reanalysis purposes integrates the best
available version of in situ data for temperature and salinity measurements.
These data are collected from national observing systems operated by Baltic
ROOS members (BOOS), scientific cruises from SeaDataNet NODCs. It is
updated on a yearly basis. This product is delivered by authenticated FTP and is
elaborated jointly with the SeaDataNet2 project.
MORE INFO
INSITU_NWS_NRT_OBSERVATIONS_013_036
Atlantic- European North West Shelf- Ocean In-Situ Near Real Time
observations
For the Northwest-Shelf area the In Situ Thematic Assembly Centre (INS TAC)
integrates near real-time in-situ observation data. These data are collected from
the NOOS members and complemented by observations collected by the Global
INS TAC. The data are quality controlled using automated procedures and the
portal is updated hourly
MORE INFO
INSITU_NWS_TS_REP_OBSERVATIONS_013_043
Atlantic-European North West Shelf- In-situ Observations Yearly
Delivery in Delayed Mode (1990-2013)
For the NWS seas- In-situ observation yearly delivery in delayed mode. The In
Situ delayed mode product designed for reanalysis purposes integrates the best
available version of in situ data for temperature and salinity measurements.
These data are collected from national observing systems operated by NWS
ROOS members (NOOS), scientific cruises from SeaDataNet NODCs. It is
updated on a yearly basis. This product is delivered by authenticated FTP and is
elaborated jointly with the SeaDataNet2 project.
MORE INFO
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In Situ
INSITU_IBI_NRT_OBSERVATIONS_013_033
Atlantic Iberian Biscay Irish Ocean- In-Situ Near Real Time
Observations
For the Iberia-Biscay-Ireland seas- The In Situ Thematic Assembly Centre (INS
TAC) integrates near real-time in situ observation data. These data are collected
from the IBI-ROOS members and complemented by the observation collected by
the Global INS TAC in the area. The data are quality controlled using automated
procedures. It is updated continuously and provides observations with 24-48
hours from acquisition in average.
MORE INFO
INSITU_IBI_TS_REP_OBSERVATIONS_013_040
Atlantic Iberian Biscay- In-situ Observations Yearly Delivery in
Delayed Mode (1990-2013)
For the IBI Seas- In-situ observation yearly delivery in delayed mode. The In Situ
delayed mode product designed for reanalysis purposes integrates the best
available version of in situ data for temperature and salinity measurements.
These data are collected from national observing systems operated by IBI ROOS
members (IBI-ROOS), scientific cruises from SeaDataNet NODCs. It is updated
on a yearly basis. This product is delivered by authenticated FTP and is
elaborated jointly with the SeaDataNet2 project.
MORE INFO
INSITU_MED_NRT_OBSERVATIONS_013_035
Mediterranean Sea- In-Situ Near Real Time Observations
For the Mediterranean Sea- The In Situ Thematic Assembly Centre (INS TAC)
integrates near real-time in situ observation data. These data are collected from
the MONGOOS members and complemented by the observation collected by the
Global INS TAC in the area. The data are quality controlled using automated
procedures. It is updated continuously and provides observations with 24-48
hours from acquisition in average.
MORE INFO
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In Situ
INSITU_MED_TS_REP_OBSERVATIONS_013_041
Mediterranean- In-situ Observations Yearly Delivery in Delayed
Mode (1990-2013)
For the Mediterranean Sea- In-situ observation yearly delivery in delayed mode.
The In Situ delayed mode product designed for reanalysis purposes integrates
the best available version of in situ data for temperature and salinity
measurements. These data are collected from national observing systems
operated by Mediterranean ROOS members (MONGOOS), scientific cruises
from SeaDataNet NODCs. It is updated on a yearly basis. This product is
delivered by authenticated FTP and is elaborated jointly with the SeaDataNet2
project.
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INSITU_BS_TS_REP_OBSERVATIONS_013_042
Black Sea- In-situ Observations Yearly Delivery in Delayed Mode
(1990-2013)
For the Black Sea- In-situ observation yearly delivery in delayed mode. The In
Situ delayed mode product designed for reanalysis purposes integrates the best
available version of in situ data for temperature and salinity measurements.
These data are collected from national observing systems operated by Black Sea
GOOS members, scientific cruises from SeaDataNet NODCs completed by main
global networks (Argo, GOSUD, OceanSITES, World Ocean Database). It is
updated on a yearly basis. This product is delivered by authenticated FTP and is
elaborated jointly with the SeaDataNet2 project.
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