AndreaBozzo/ceres-open-data-index huggingface dataset:
GLOBAL OCEAN L4 SPECTRAL PARAMETERS FROM NRT SATELLITE MEASUREMENTS

'''Short description:'''

Near-Real-Time multi-mission global satellite-based spectral integral parameters. Only valid data are used, based on the L3 corresponding products. Included wave parameters are partition significant wave height, partition peak period and partition peak or principal direction. Those parameters are propagated in space and time at a 3-hour timestep and on a regular space grid, providing information of the swell propagation characteristics, from source to land. The output products corresponds to one file per month gathering all the swell systems at a global scale. This product is processed by the WAVE-TAC multi-mission Sentinel-1- SAR and CFOSAT/SWIM data processing system to serve in near-real time the main operational oceanography and climate forecasting centers in Europe and worldwide. It processes data from the following missions: SAR (Sentinel-1C) and CFOSAT/SWIM. All the spectral parameter measurements are optimally interpolated using swell observations belonging to the same swell field. The spectral data processing system produces wave integral parameters by partition (partition significant wave height, partition peak period and partition peak or principal direction) and the associated standard deviation and density of propagated observations.

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00175
High-resolution L3 Sea Surface Wind from MY Satellite Measurements over the Baltic Sea

'''Short description:'''

For the Baltic Sea - The product contains daily Level-3 sea surface wind with a 1km horizontal pixel spacing using Synthetic Aperture Radar (SAR) observations and their collocated European Centre for Medium-Range Weather Forecasts (ECMWF) model outputs. Products are processed homogeneously starting from the L2OCN products.

'''DOI (product) :'''  
https://doi.org/10.48670/mds-00340
GLOBAL OCEAN GRIDDED L4 SEA SURFACE HEIGHTS AND DERIVED VARIABLES NRT

'''Short description:'''

Altimeter satellite gridded Sea Level Anomalies (SLA) computed with respect to a twenty-year [1993, 2012] mean. The SLA is estimated by Optimal Interpolation, merging the L3 along-track measurement from the different altimeter missions available. Part of the processing is fitted to the Global Ocean. (see QUID document or http://duacs.cls.fr [http://duacs.cls.fr] pages for processing details). The product gives additional variables (i.e. Absolute Dynamic Topography and geostrophic currents (absolute and anomalies)). It serves in near-real time applications.
This product is processed by the DUACS multimission altimeter data processing system. 

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00149
Baltic Sea Physics Reanalysis

'''Short description:'''

This Baltic Sea Physical Reanalysis product provides a reanalysis for the physical conditions for the whole Baltic Sea area, inclusive the Transition Area to the North Sea, from January 1993 and up to minus maximum 1 year relative to real time. The product is produced by using the  ice-ocean model system Nemo. All variables are avalable as daily, monthly and annual means and include sea level, ice concentration, ice thickness, salinity, temperature, horizonal velocities and the mixed layer depths. The data are available at the native model resulution (1 nautical mile horizontal resolution, and 56 vertical layers).

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00013
Global Ocean Hourly Sea Surface Wind and Stress from Scatterometer and Model

'''Short description:'''

For the Global Ocean - The product contains hourly Level-4 sea surface wind and stress fields at 0.125 degrees horizontal spatial resolution. Scatterometer observations for Metop-B and Metop-C ASCAT and their collocated European Centre for Medium-Range Weather Forecasts (ECMWF) operational model variables are used to calculate temporally-averaged difference fields. These fields are used to correct for persistent biases in hourly ECMWF operational model fields. The product provides stress-equivalent wind and stress variables as well as their divergence and curl. The applied bias corrections, the standard deviation of the differences (for wind and stress fields) and difference of variances (for divergence and curl fields) are included in the product.

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00305
Black Sea - High Resolution L4 Sea Surface Temperature Reprocessed

'''Short description:''' 

The Reprocessed (REP) Black Sea (BS) dataset provides a stable and consistent long-term Sea Surface Temperature (SST) time series over the Black Sea developed for climate applications. This product consists of daily (nighttime), optimally interpolated (L4), satellite-based estimates of the foundation SST (namely, the temperature free, or nearly-free, of any diurnal cycle) at 0.05° resolution grid covering the period from 1st January 1981 to present (approximately one month before real time). The BS-REP-L4 product is built from a consistent reprocessing of the collated level-3 (merged single-sensor, L3C) climate data record (CDR) v.3.0, provided by the ESA Climate Change Initiative (CCI) and covering the period up to 2021, and its interim extension (ICDR) that allows the regular temporal extension for 2022 onwards. 

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00160
Mediterranean Sea Biogeochemistry Reanalysis

'''Short Description'''

The Mediterranean Sea biogeochemical reanalysis at 1/24° of horizontal resolution (ca. 4 km) covers the period from Jan 1999 to 1 month to the present and is produced by means of the MedBFM3 model system. MedBFM3, which is run by OGS (IT), includes the transport model OGSTM v4.0 coupled with the biogeochemical flux model BFM v5 and the variational data assimilation module 3DVAR-BIO v2.1 for surface chlorophyll. MedBFM3 is forced by the physical reanalysis (MEDSEA_MULTIYEAR_PHY_006_004 product run by CMCC) that provides daily forcing fields (i.e., currents, temperature, salinity, diffusivities, wind and solar radiation). The ESA-CCI database of surface chlorophyll concentration (CMEMS-OCTAC REP product) is assimilated with a weekly frequency. 

Cossarini, G., Feudale, L., Teruzzi, A., Bolzon, G., Coidessa, G., Solidoro C., Amadio, C., Lazzari, P., Brosich, A., Di Biagio, V., and Salon, S., 2021. High-resolution reanalysis of the Mediterranean Sea biogeochemistry (1999-2019). Frontiers in Marine Science. Front. Mar. Sci. 8:741486.doi: 10.3389/fmars.2021.741486

''DOI (Product)'': https://doi.org/10.48670/mds-00374

''DOI (Interim dataset)'':
https://doi.org/10.25423/CMCC/MEDSEA_MULTIYEAR_BGC_006_008_MEDBFM3I
ODYSSEA Global Ocean - Sea Surface Temperature Multi-sensor L3 Observations

'''Short description:'''

For the Global Ocean- Sea Surface Temperature L3 Observations . This product provides daily foundation sea surface temperature from multiple satellite sources. The data are intercalibrated. This product consists in a fusion of sea surface temperature observations from multiple satellite sensors, daily, over a 0.1° resolution global grid. It includes observations by polar orbiting (NOAA-18 & NOAAA-19/AVHRR, METOP-A/AVHRR, ENVISAT/AATSR, AQUA/AMSRE, TRMM/TMI) and geostationary (MSG/SEVIRI, GOES-11) satellites . The observations of each sensor are intercalibrated prior to merging using a bias correction based on a multi-sensor median reference correcting the large-scale cross-sensor biases.3 more datasets are available that only contain "per sensor type" data : Polar InfraRed (PIR), Polar MicroWave (PMW), Geostationary InfraRed (GIR)

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00164
Mediterranean Sea - High Resolution and Ultra High Resolution L3S Sea Surface Temperature

'''Short description:''' 

This product provides daily (nighttime), merged multi-sensor (Level-3S, L3S) maps of foundation Sea Surface Temperature (SST) - that is, the SST free from diurnal warming - over the Mediterranean Sea, at high (HR, 1/16°) and ultra-high (UHR, 1/100°) spatial resolutions, covering the period from 2008 to present. Each map represents nighttime SST values and is produced by the Italian National Research Council – Institute of Marine Sciences (CNR-ISMAR).
L3S maps are generated by selecting only the highest-quality SST observations from upstream Level-2 (L2) data acquired within a short local nighttime window, in order to minimize cloud contamination and avoid the effects of the diurnal cycle. The main L2 sources currently ingested include SLSTR from Sentinel-3A and -3B, VIIRS from NOAA-21, NOAA-20, and Suomi-NPP, AVHRR from Metop-B and -C, and SEVIRI.
These L3S data serve as input to an optimal interpolation procedure used to generate gap-free Level-4 (L4) SST fields, as implemented in product 010_004 (Buongiorno Nardelli et al., 2013). 

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00171
Nino 3.4 Temporal Evolution of Vertical Profile of Temperature from Reanalysis

'''DEFINITION'''

NINO34 sub surface temperature anomaly (°C) is defined as the difference between the subsurface temperature  averaged over the 170°W-120°W 5°S,-5°N area  and the climatological reference value over same area  (GLOBAL_MULTIYEAR_PHY_ENS_001_031). Spatial averaging was weighted by surface area. Monthly mean values are given here. The reference period is 1993-2014.  

'''CONTEXT'''

El Nino Southern Oscillation (ENSO) is one of the most important sources of climatic variability resulting from a strong coupling between ocean and atmosphere in the central tropical Pacific and affecting surrounding populations. Globally, it impacts ecosystems, precipitation, and freshwater resources (Glantz, 2001). ENSO is mainly characterized by two anomalous states that last from several months to more than a year and recur irregularly on a typical time scale of 2-7 years. The warm phase El Niño is broadly characterized by a weakening of the easterly trade winds at interannual timescales associated with surface and subsurface processes leading to a surface warming in the eastern Pacific. Opposite changes are observed during the cold phase La Niña (review in Wang et al., 2017). Nino 3.4 sub-surface Temperature Anomaly is a good indicator of the state of the Central tropical Pacific el Nino conditions and enable to monitor the evolution the ENSO phase.

'''CMEMS KEY FINDINGS'''

Over the 1993-2023 period, there were several episodes of strong positive ENSO (el nino) phases in particular during the 1997/1998 winter and the 2015/2016 winter, where NINO3.4 indicator reached positive values larger than 2°C (and remained above 0.5°C during more than 6 months). Several La Nina events were also observed like during the 1998/1999 winter and during the 2010/2011 winter.  
The NINO34 subsurface indicator is a good index to monitor the state of ENSO phase and a useful tool to help seasonal forecasting of atmospheric conditions. 

Note: The key findings will be updated annually in November, in line with OMI evolutions.

'''DOI (product):''' 
https://doi.org/10.48670/moi-00220
Global Ocean Monthly Mean Sea Surface Wind and Stress from Scatterometer and Model

'''Short description:'''

For the Global Ocean - The product contains monthly Level-4 sea surface wind and stress fields at 0.25 degrees horizontal spatial resolution. The monthly averaged wind and stress fields are based on monthly average ECMWF ERA5 reanalysis fields, corrected for persistent biases using all available Level-3 scatterometer observations from the Metop-A, Metop-B and Metop-C ASCAT, QuikSCAT SeaWinds and ERS-1 and ERS-2 SCAT satellite instruments.  The applied bias corrections, the standard deviation of the differences and the number of observations used to calculate the monthly average persistent bias are included in the product.

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00181
Global Ocean Hourly Reprocessed Sea Surface Wind and Stress from Scatterometer and Model

'''Short description:'''

For the Global Ocean - The product contains hourly Level-4 sea surface wind and stress fields at 0.125 and 0.25 degrees horizontal spatial resolution. Scatterometer observations and their collocated European Centre for Medium-Range Weather Forecasts (ECMWF) ERA5 reanalysis model variables are used to calculate temporally-averaged difference fields. These fields are used to correct for persistent biases in hourly ECMWF ERA5 model fields. Bias corrections are based on scatterometer observations from Metop-A, Metop-B, Metop-C ASCAT (0.125 degrees) and QuikSCAT SeaWinds, ERS-1 and ERS-2 SCAT (0.25 degrees). The product provides stress-equivalent wind and stress variables as well as their divergence and curl. The applied bias corrections, the standard deviation of the differences (for wind and stress fields) and difference of variances (for divergence and curl fields) are included in the product.

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00185
Mediterranean Sea - High Resolution L3S Sea Surface Temperature Reprocessed

'''Short description:''' 

The Reprocessed (REP) Mediterranean (MED) dataset provides a stable and consistent long-term Sea Surface Temperature (SST) time series over the Mediterranean Sea (and the adjacent North Atlantic box) developed for climate applications. This product consists of daily (nighttime), merged multi-sensor (L3S), satellite-based estimates of the foundation SST (namely, the temperature free, or nearly-free, of any diurnal cycle) at 0.05° resolution grid covering the period from 1st January 1981 to present (approximately one month before real time). The MED-REP-L3S product is built from a consistent reprocessing of the collated level-3 (merged single-sensor, L3C) climate data record (CDR) v.3.0, provided by the ESA Climate Change Initiative (CCI) and covering the period up to 2021, and its interim extension (ICDR) that allows the regular temporal extension for 2022 onwards. 

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00314
High-resolution L3 Sea Surface Wind from MY Satellite Measurements over the Black Sea

'''Short description:'''

For the Black Sea - The product contains daily Level-3 sea surface wind with a 1km horizontal pixel spacing using Synthetic Aperture Radar (SAR) observations and their collocated European Centre for Medium-Range Weather Forecasts (ECMWF) model outputs. Products are processed homogeneously starting from the L2OCN products.

'''DOI (product) :'''  
https://doi.org/10.48670/mds-00341
Global Ocean in situ - Near Real Time temperature and salinity - objective analysis

'''Short description:'''
The global ocean objective analysis (gridded) fields of temperature and salinity are produced from the in situ profiles available in the multiparameter near–real-time in situ product INSITU_GLO_PHYBGCWAV_DISCRETE_MYNRT_013_030, with the exception of moorings, thermosalinographs and surface drifters. The objective analysis is based on the ISAS method (Gaillard et al. 2009), a statistical estimation approach that enables the mapping of ocean in situ profiles onto three-dimensional gridded fields.
The resulting gridded product has a spatial resolution of 0.5° in latitude and 0.5° in longitude at the equator and includes 187 vertical levels. It provides monthly temperature and salinity fields centered the 15th of the month, with the analysis of the previous month delivered on the 8th of each month.
A monthly file (data file) gathering the observed profiles used to calculate the analysis, which are interpolated on the vertical grid, is also provided. 
The product covers a two-year sliding time window. Older data are available in the corresponding delayed-mode product, INSITU_GLO_PHY_TS_OA_MY_013_052.


'''DOI (product) :'''   
https://doi.org/10.48670/moi-00037
ESA SST CCI and C3S reprocessed sea surface temperature analyses

'''Short description:''' 

The C3S global Sea Surface and Sea Ice Temperature Reprocessed product provides gap-free maps of daily average SST at 20 cm depth and IST skin at 0.05deg. x 0.05deg. horizontal grid resolution, using satellite data from the ESA SST_cci v3.0 L3U data from (A)ATSRs, SLSTR and AVHRR, L2P data from the AMSRE and AMSR2 Passive Microwave Instruments (Embury et al., 2024) and L2P data from the AASTI and C3S IST CDR/ICDR v.1. The C3S level 4 SST/IST analyses were produced by running the DMI Optimal Interpolation (DMIOI) system (Høyer and She, 2007; Høyer et al., 2014; Nielsen-Englyst et al., 2023, Nielsen-Englyst et al., 2024) to provide a high resolution (1/20deg. - approx. 5km grid resolution) daily analysis of the daily average sea surface temperature (SST) at 20 cm depth and sea ice surface temperature (IST) at the surface skin to cover surface temperatures in the global ocean, the sea ice and the marginal ice zone. It uses a Multi-Source Composite Sea-Ice concentration dataset (from a combination of EUMETSAT OSI-SAF OSI-450a (Lavergne et al., 2019), OSI-458, ESA CCI Sea ice CDR, SICCI-HR-SIC, U.S. National Ice Centre’s (NIC) ice charts, Swedish Meteorological and Hydrological Institute (SHMI) and Finnish Meteorological Institute’s (FMI) ice charts used for the Baltic region) developed at DMI for the purpose of the CARRA2 project (Pan-Arctic) and extended to the South Hemisphere. 

The ESA SST CCI global Sea Surface Temperature Reprocessed product provides gap-free maps of daily average SST at 20 cm depth at 0.05deg. x 0.05deg. horizontal grid resolution, using satellite data from the (A)ATSRs, SLSTR and the AVHRR series of sensors (Embury et al., 2024). The ESA SST CCI  level 4 analyses were produced by running the Operational Sea Surface Temperature and Sea Ice Analysis (OSTIA) system (Good et al., 2020) to provide a high resolution (1/20deg. - approx. 5km grid resolution) daily analysis of the daily average sea surface temperature (SST) at 20 cm depth for the global ocean. Only (A)ATSR, SLSTR and AVHRR satellite data processed by the ESA SST CCI projects were used, giving a stable product. It also uses reprocessed sea-ice concentration data from the EUMETSAT OSI-SAF (OSI-450 and OSI-430-b; Lavergne et al., 2019). 


'''DOI (product) :'''   
https://doi.org/10.48670/moi-00169
Global Ocean OSTIA Sea Surface Temperature and Sea Ice Analysis

'''Short description:''' 

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 grid resolution, using in-situ and satellite data from both infrared and microwave radiometers. 

The Operational Sea Surface Temperature and Ice Analysis (OSTIA) system is run by the UK's Met Office. OSTIA uses satellite data provided by the GHRSST project together with in-situ observations to determine the sea surface temperature.
A high resolution (1/20° - approx. 6 km) daily analysis of sea surface temperature (SST) is produced for the global ocean and some lakes. 

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00165
High-resolution L3 Sea Surface Wind from MY Satellite Measurements over the Atlantic Sea

'''Short description:'''

For the Atlantic Ocean - The product contains daily Level-3 sea surface wind with a 1km horizontal pixel spacing using Synthetic Aperture Radar (SAR) observations and their collocated European Centre for Medium-Range Weather Forecasts (ECMWF) model outputs. Products are processed homogeneously starting from the L2OCN products.

'''DOI (product) :'''  
https://doi.org/10.48670/mds-00339
Sea Ice Thickness derived from merging of L-Band radiometry and radar altimeter derived sea ice thickness

'''Short description:'''

Global sea ice thickness from merged  L-Band radiometer (SMOS ) and radar altimeter (CryoSat-2, Sentinel-3A/B) observations during freezing season between October and April in the northern hemisphere and April to October in the southern hemisphere. The SMOS mission provides L-band observations and the ice thickness-dependency of brightness temperature enables to estimate the sea-ice thickness for thin ice regimes. Radar altimeters measure the height of the ice surface above the water level, which can be converted into sea ice thickness assuming hydrostatic equilibrium. 

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00125
SMOS CATDS Qualified (L2Q) Sea Surface Salinity product

'''Short description:'''

The product MULTIOBS_GLO_PHY_SSS_L3_MYNRT_015_014 is a reformatting and a simplified version of the CATDS L3 product called “2Q” or “L2Q”. it is an intermediate product, that provides, in daily files, SSS corrected from land-sea contamination and latitudinal bias, with/without rain freshening correction.

'''DOI (product) :''' 
https://doi.org/10.48670/mds-00368
European North West Shelf/Iberia Biscay Irish Seas – High Resolution ODYSSEA L4 Sea Surface Temperature Analysis

'''Short description:'''

For the Atlantic European North West Shelf Ocean-European North West Shelf/Iberia Biscay Irish Seas. The ODYSSEA NW+IBI 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 and Iberia Biscay Irish Seas.

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00152
Black Sea - High Resolution L3S Sea Surface Temperature Reprocessed

'''Short description:''' 

The Reprocessed (REP) Black Sea (BS) dataset provides a stable and consistent long-term Sea Surface Temperature (SST) time series over the Black Sea developed for climate applications. This product consists of daily (nighttime), merged multi-sensor (L3S), satellite-based estimates of the foundation SST (namely, the temperature free, or nearly-free, of any diurnal cycle) at 0.05° resolution grid covering the period from 1st January 1981 to present (approximately one month before real time). The BS-REP-L3S product is built from a consistent reprocessing of the collated level-3 (merged single-sensor, L3C) climate data record (CDR) v.3.0, provided by the ESA Climate Change Initiative (CCI) and covering the period up to 2021, and its interim extension (ICDR) that allows the regular temporal extension for 2022 onwards. 

'''DOI (product) :'''   
https://doi.org/10.48670/moi-00313
Global Ocean 3D Chlorophyll-a concentration, Particulate Backscattering coefficient, Particulate Organic Carbon, Downwelling Photosynthetic Available Radiation and downwelling irradiance at three different wavelengths (ED380, ED412 and ED490)

'''Short description:'''

This product consists of 3D fields of Particulate Organic Carbon (POC), Particulate Backscattering coefficient (bbp), Chlorophyll-a concentration (Chla), Downwelling Photosynthetic Available Radiation (PAR) and downwelling irradiance, at 0.25°x0.25° resolution from the surface to 1000 m. 
A neural network estimates the vertical distribution of Chla and bbp from surface ocean color measurements with hydrological properties and additional drivers. The SOCA-light models is used to integrate light.

'''DOI (product):'''
https://doi.org/10.48670/moi-00046
Mediterranean Sea Physics Analysis and Forecast

'''Short Description'''

The physical component of the Mediterranean Forecasting System (Med-Physics) is a coupled hydrodynamic-wave model implemented over the whole Mediterranean Basin including tides. The model horizontal grid resolution is 1/24˚ (ca. 4 km) and has 141 unevenly spaced vertical levels.
The hydrodynamics are supplied by the Nucleous for European Modelling of the Ocean NEMO (v4.2) and include the representation of tides, while the wave component is provided by Wave Watch-III (v6.07) coupled through OASIS; the model solutions are corrected by a 3DVAR assimilation scheme (OceanVar2.0) for temperature and salinity vertical profiles and along track satellite Sea Level Anomaly observations.

''DOI (Product)'':
https://doi.org/10.48670/mds-00359