AndreaBozzo/ceres-open-data-index huggingface dataset:
ADEOS-II/GLI L3 STA Map Vegetation Index product

ADEOS-II/GLI L3 STA Map Vegetation Index (16days,1/12deg)is obtained from the GLI (Global-Imager) sensor onboard ADEOS-II and produced by the Japan Aerospace Exploration Agency (JAXA). Global environment change has become a worldwide concern in recent years. In order to clarify these environmental changes, the Advanced Earth Observing Satellite (ADEOS-II, renamed "Midori II" after launch) has been developed for the purpose of monitoring the Earth environment using remote sensing technology from space. Midori II carries mission instruments that are particularly dedicated to clarify the water energy cycle and the carbon cycle, and is expected to be utilized for international climate change research programs. GLI an optical sensor that observes the reflected solar radiation from the Earth's surface, including land, oceans and clouds and/or infrared radiation with a multi-channel system for measuring the biological content. The SGLI has a swath of 1600 km. This product includes the normalized difference vegetation index (NDVI) which is the ratio between the difference in the red and near- infrared and their sum the most widely used index in global vegetation studies and the enhanced vegetation index (EVI) for increased sensitivity over a wider range of vegetation conditions, removal of soil background influences, and removal of residual atmospheric contamination effects present in the NDVI. This product is generated from Level-2 product. All zone of Level-2 product is connected and northern and southern polar stereographic region is projected to equi-rectangular. Level 3 STA Map product of land is the representative values, which are estimated from level 2 binned product and projected onto map. As for the estimation arithmetic mean method is applied.The provided format is HDF. The spatial resolution is 1/12 degree and the statistical period is 16 days. Map projection is EQR. The generation unit is global. The current version of the product is "Version 2".
GPM/DPR L3 Precipitaion (1-Day,0.25deg)

GPM/DPR L3 Precipitation (1-Day,0.25deg) dataset is obtained from the DPR sensor onboard GPM and produced by the Japan Aerospace Exploration Agency (JAXA). GPM Core Satellite carries Dual-frequency Precipitation Radar (DPR) and a microwave radiometer. Main purposes of the GPM are "Comprehension of horizontal and vertical structure of precipitation systems", "Acquisition of precipitation particles information" and "Improvement of accuracy of precipitation by constellation satellites". GPM Core Satellite can observe the range from the south latitude about 65 degrees to the north latitude about 65 degrees, and flies Non-Sun-synchronous Circular Orbit at about the 407 km altitude. To keep the altitude, the Core Satellite does the orbit maintenance maneuver. The interval is about 7-10 days.The swaths of DPR instrument are 125 and 245 km (78 and 152 mile) (245 km since May 21, 2018) for a Ka-band precipitation radar (KaPR) and a Ku-band precipitation radar (KuPR) respectively. In addition, simultaneous measurements are done at the overlapping of Ka/Ku-bands of the DPR. The GMI instrument is a conical-scanning multi-channel microwave radiometer covering a swath of 904 km (565 miles).The Level 3 DPR algorithm accumulates instantaneous precipitation estimates from the Level 2 retrieval algorithms into grids over a day and month time span. Unless otherwise specified, the means are conditioned on precipitation being present. For the daily product, the mean square statistic is saved rather than the standard deviation. In addition to the daily and monthly products is a simplified joint daily product that contains a subset of the fields from the full daily product. The Level 3 DPR products present the user with summary information over daily and monthly time periods. The provided format is HDF5. The Sampling resolution is 0.25 degree grid (Daily HDF5). The current version of the product is Version 7. The generation unit is global.
GCOM-C/SGLI L3 Binned Atmospheric corrected reflectance(RS04) (8-Days,1/24 deg)

GCOM-C/SGLI L3 Binned Atmospheric corrected reflectance (RS04) (8-Days,1/24 deg) dataset is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.This dataset is 8 days binning statistics product by reducing the spatial resolution to 1/24 deg with EQA projection. This dataset includes Surface reflectance of RS04 (Center Wavelength is 2210 nm) and QA_Flag. The physical quantity unit is dimensionless. The stored statistics values are average (AVE), root-mean-square (RMS), maximum value (MAX), minimum value (MIN), number of input data (Ninput), number of used data (Nused), date of observation (Date), and quality flag (QA_flag). The provided format is HDF5. The Spatial resolution is 1/24 degree. The statistical period is 8 days, also 1 day and 1 month statistics are available. The projection method is EQA. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.
ADEOS-II/GLI L3 Binned Cloud Top Height of water cloud by emission method (1month,1/4deg)

ADEOS-II/GLI L3 Binned Cloud Top Height of water cloud by emission method (1month,1/4deg) is obtained from the GLI (Global-Imager) sensor onboard ADEOS-II and produced by the Japan Aerospace Exploration Agency (JAXA). Global environment change has become a worldwide concern in recent years. In order to clarify these environmental changes, the Advanced Earth Observing Satellite (ADEOS-II, renamed "Midori II" after launch) has been developed for the purpose of monitoring the Earth environment using remote sensing technology from space. Midori II carries mission instruments that are particularly dedicated to clarify the water energy cycle and the carbon cycle, and is expected to be utilized for international climate change research programs. GLI an optical sensor that observes the reflected solar radiation from the Earth's surface, including land, oceans and clouds and/or infrared radiation with a multi-channel system for measuring the biological content. The SGLI has a swath of 1600 km.  This product is cloud top height of water cloud which is retrieved from multi-channel radiance (channel 30, 35, 36) applying emission method. This product includes sum, square sum, max, min of each pixel is included.The provided format is HDF. The physical quantity unit is km. The spatial resolution is 1/4 degree and the statistical period is 1 month, also 16 days statistics is available. Map projection is EQR. The generation unit is global. The current version of the product is "Version 2".
GCOM-C/SGLI L3 Map Photosynthetically available radiation (PAR) (1-Month,1/24 deg)

GCOM-C/SGLI L3 Map Photosynthetically available radiation (PAR) (1-Month,1/24 deg) dataset is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-C is Sun-synchronous sub-recurrent Orbit satellite launched on December 23, 2017, which mounts SGLI and conducts long-term global observations of geophysical variables related to the global climate system across 28 items including aerosol and vegetation over 4 areas of atmosphere, land, ocean, and cryosphere. The data will be used to contribute to higher accuracy of global warming prediction. The SGLI has swath of 1150 km in the visible band and 1400 km in the infrared band. Level 3 products are defined to be products derived from Level 1B and Level 2 products by statistically processing the Level 1B and Level 2 products in time and space domains.This dataset is 1 month map-projected statistics product. This dataset includes PAR: Photosynthetically available radiation and QA_Flag. The physical quantity unit is Ein/m^2/day. The stored statistics values are average (AVE) and quality flag (QA_flag). The provided format is HDF5. The Spatial resolution is 1/24 degree. The statistical period is 1 month, also 1 day and 8 days statistics are available. The projection method is EQR. The generation unit is Global. The current version of the product is Version 3. The Version 2 is also available.
ASCAT Winds and Soil Moisture at 25 km Swath Grid - Metop-A

This ASCAT Multi-parameter product contains surface wind vectors over ocean and soil moisture index over land. Additionally, the backscatter values involved in the retrieval of the geophysical parameters above are also included, as well as several quality flags to facilitate the use of the data. For NWP users this product is provided in BUFR format. The netCDF version of this product contains Winds ONLY. For users interested in either ASCAT backscatter, wind or soil moisture index data in other formats, please refer to the relevant product entries available for the specific parameters. Finally, note that although the OSI SAF is identified as the originating centre for this product, it is not responsible for the processing of soil moisture index values, which is currently carried out at EUMETSAT. For wind data before 1 April 2014: better than using this archived NRT product, please use the reprocessed ASCAT winds data records (EO:EUM:DAT:METOP:OSI-150-A, EO:EUM:DAT:METOP:OSI-150-B).Metop-A data are available in the Data Centre up to 15/11/2021.
Active Fire Monitoring (GRIB) - MSG - 0 degree

The active fire monitoring product is a fire detection product indicating the presence of fire within a pixel. The underlying concept of the algorithm takes advantage of the fact that SEVIRI channel IR3.9 is very sensitive to hot spots which are caused by fires. The algorithm distinguishes between potential fire and active fire. Applications and Users: Fire detection and monitoring. This product is available in CAP (Common Alert Protocol) format. The CAP formatted product is only disseminated when a fire/potential fire is detected in any given repeat cycle.Please note, the MSG SEVIRI instrument presents some limitations when using it for fire detection, and this could lead in a underestimation of pixel with actual fire. This underestimation can be caused by:- The âfire channelâ of SEVIRI (IR3.9) being up to 5 K colder than a âcleanâ channel due to CO2 absorption.- The low spatial resolution.- The limited dynamic range of the 3.9 Âµm channel  (335 K for SEVIRI), which does not make it ideal for hot fires.
ASCAT Soil Moisture at 25 km Swath Grid in NRT - Metop

The Soil Moisture (SM) product is derived from the Advanced SCATterometer (ASCAT) backscatter observations and given in swath orbit geometry (25 km sampling). This SM product provides an estimate of the water content of the 0-5 cm topsoil layer, expressed in degree of saturation between 0 and 100 [%]. The algorithm used to derive this parameter is based on a linear relationship of SM and scatterometer backscatter and uses change detection techniques to eliminate the contributions of vegetation, land cover and surface topography, considered invariant from year to year. Seasonal vegetation effects are modelled by exploiting the multi-angle viewing capabilities of ASCAT. The SM processor has been developed by Vienna University of Technology (TU Wien). Note that some of the data are reprocessed. Please refer to the associated product validation reports or product release notes for further information.Metop-A data are available in the Data Centre up to 15/11/2021.
HRI Level 1.5 Image Data - MFG - 0 degree

Image data in the form of high rate transmissions in 3 spectral channels available at 30-minute intervals with coverage over Europe, Africa, North Atlantic and parts of South America. Level 1.5 images are pre-processed in such a way that all image pixels are remapped on to a reference image corresponding to an image taken by the MTP satellite located at its nominal position over the equator and with a nominal attitude, i.e. with the satellite spin axis parallel to the spin axis of the earth. In addition, all image lines are aligned and the coordinates of image pixels of the different radiometer channels are adjusted so that they correspond to information from the same point on the earth's surface.
Global Ocean Ensemble Physics Reanalysis

'''Short description:''' You can find here the CMEMS Global Ocean Ensemble Reanalysis product at ¼ degree resolution : monthly means of Temperature, Salinity, Currents and Ice variables for 75 vertical levels, starting from 1993 onward. Global ocean reanalyses are homogeneous 3D gridded descriptions of the physical state of the ocean covering several decades, produced with a numerical ocean model constrained with data assimilation of satellite and in situ observations. These reanalyses are built to be as close as possible to the observations (i.e. realistic) and in agreement with the model physics The multi-model ensemble approach allows uncertainties or error bars in the ocean state to be estimated.The ensemble mean may even provide for certain regions and/or periods a more reliable estimate than any individual reanalysis product.The four reanalyses, used to create the ensemble, covering “altimetric era” period (starting from 1st of January 1993) during which altimeter altimetry data observations are available: * GLORYS2V4 from Mercator Ocean (Fr); * ORAS5 from ECMWF; * GloSea5 from Met Office (UK); * and C-GLORSv7 from CMCC (It); These four products provided four different time series of global ocean simulations 3D monthly estimates. All numerical products available for users are monthly or daily mean averages describing the ocean.'''DOI (product) :'''   https://doi.org/10.48670/moi-00024
EUROPEAN SEAS ALONG-TRACK L3 SEA LEVEL ANOMALIES NRT

'''Short description:'''Altimeter satellite along-track sea surface heights anomalies (SLA) computed with respect to a twenty-year [1993, 2012] mean with a 1Hz (~7km) and 5Hz (~1km) sampling. It serves in near-real time applications.This product is processed by the DUACS multimission altimeter data processing system. It processes data from all altimeter missions available (e.g. Sentinel-6A, Jason-3, Sentinel-3A, Sentinel-3B, Saral/AltiKa, Cryosat-2, HY-2B). The system exploits the most recent datasets available based on the enhanced OGDR/NRT+IGDR/STC production. All the missions are homogenized with respect to a reference mission. Part of the processing is fitted to the European Seas. (see QUID document or http://duacs.cls.fr [http://duacs.cls.fr] pages for processing details). The product gives additional variables (e.g. Mean Dynamic Topography, Dynamic Atmospheric Correction, Ocean Tides, Long Wavelength Errors) that can be used to change the physical content for specific needs (see PUM document for details)'''Associated products'''A time invariant product http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_NOISE_L4_STATIC_008_033 [http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_NOISE_L4_STATIC_008_033] describing the noise level of along-track measurements is available. It is associated to the sla_filtered variable. It is a gridded product. One file is provided for the global ocean and those values must be applied for Arctic and Europe products. For Mediterranean and Black seas, one value is given in the QUID document.'''DOI (product) :'''   https://doi.org/10.48670/moi-00140
GLOBAL OCEAN ALONG-TRACK L3 SEA SURFACE HEIGHTS NRT

'''Short description:'''Altimeter satellite along-track sea surface heights anomalies (SLA) computed with respect to a twenty-year [1993, 2012] mean with a 1Hz (~7km) and 5Hz (~1km) sampling. It serves in near-real time applications.This product is processed by the DUACS multimission altimeter data processing system. It processes data from all altimeter missions available (e.g. Sentinel-6A, Jason-3, Sentinel-3A, Sentinel-3B, Saral/AltiKa, Cryosat-2, HY-2B). The system exploits the most recent datasets available based on the enhanced OGDR/NRT+IGDR/STC production. All the missions are homogenized with respect to a reference mission. 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 (e.g. Mean Dynamic Topography, Dynamic Atmospheric Correction, Ocean Tides, Long Wavelength Errors) that can be used to change the physical content for specific needs (see PUM document for details)'''Associated products'''A time invariant product http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_NOISE_L4_STATIC_008_033 [http://marine.copernicus.eu/services-portfolio/access-to-products/?option=com_csw&view=details&product_id=SEALEVEL_GLO_PHY_NOISE_L4_STATIC_008_033] describing the noise level of along-track measurements is available. It is associated to the sla_filtered variable. It is a gridded product. One file is provided for the global ocean and those values must be applied for Arctic and Europe products. For Mediterranean and Black seas, one value is given in the QUID document.'''DOI (product)''':https://doi.org/10.48670/moi-00147
Global Ocean - High Resolution SAR Sea Ice Drift Time Series

'''Short description:'''The  product contains a reprocessed multi year version of the daily composite dataset from SEAICE_GLO_SEAICE_L4_NRT_OBSERVATIONS_011_006 covering the Sentinel1 years from autumn 2014 until 1 year before present'''DOI (product) :'''   https://doi.org/10.48670/mds-00328
High-resolution L3 Sea Surface Wind from NRT 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 Near Real-Time Synthetic Aperture Radar (SAR) observations and their collocated European Centre for Medium-Range Weather Forecasts (ECMWF) model outputs. Products are updated several times daily to provide the best product timeliness.'''DOI (product) :'''  https://doi.org/10.48670/mds-00331
Arctic Ocean Physics Analysis and Forecast

'''Short description:'''The operational TOPAZ5 Arctic Ocean system uses the HYCOM model and a 100-member EnKF assimilation scheme. It is run daily to provide 10 days of forecast (average of 10 members) of the 3D physical ocean, including sea ice with the CICEv5.1 model; data assimilation is performed weekly to provide 7 days of analysis (ensemble average).Output products are interpolated on a grid of 6 km resolution at the North Pole on a polar stereographic projection. The geographical projection follows these proj4 library parameters: proj4 = "+units=m +proj=stere +lon_0=-45 +lat_0=90 +k=1 +R=6378273 +no_defs" '''DOI (product) :'''https://doi.org/10.48670/moi-00001
GLOBAL OCEAN L3 SIGNIFICANT WAVE HEIGHT FROM NRT SATELLITE MEASUREMENTS

'''Short description:'''Near-Real-Time mono-mission satellite-based along-track significant wave height. Only valid data are included, based on a rigorous editing combining various criteria such as quality flags (surface flag, presence of ice) and thresholds on parameter values. Such thresholds are applied on parameters linked to significant wave height determination from retracking (e.g. SWH, sigma0, range, off nadir angle…). All the missions are homogenized with respect to a reference mission (Jason-3 until April 2022, Sentinel-6A afterwards) and calibrated on in-situ buoy measurements. Finally, an along-track filter is applied to reduce the measurement noise.As a support of information to the significant wave height, wind speed measured by the altimeters is also processed and included in the files. Wind speed values are provided by upstream products (L2) for each mission and are based on different algorithms. Only valid data are included and all the missions are homogenized with respect to the reference mission.This product is processed by the WAVE-TAC multi-mission altimeter data processing system. It serves in near-real time the main operational oceanography and climate forecasting centers in Europe and worldwide. It processes operational data (OGDR and NRT, produced in near-real-time) from the following altimeter missions: Sentinel-6A, Jason-3, Sentinel-3A, Sentinel-3B, Cryosat-2, SARAL/AltiKa, CFOSAT ; and interim data (IGDR, 1 to 2 days delay) from Hai Yang-2B mission.One file containing valid SWH is produced for each mission and for a 3-hour time window. It contains the filtered SWH (VAVH), the unfiltered SWH (VAVH_UNFILTERED) and the wind speed (wind_speed).'''DOI (product) :'''   https://doi.org/10.48670/moi-00179
Atlantic - European North West Shelf - Ocean Wave Analysis and Forecast

'''Short description:'''The NWSHELF_ANALYSISFORECAST_WAV_004_014 is produced by a wave model system based on MFWAV, implemented over the North East Atlantic and Shelf Seas at 1/20 degrees of horizontal resolution forced by ECMWF wind data. The system assimilates significant wave height altimeter data and spectral data, and it is forced by currents provided by the [ ref t the physical system] ocean circulation system.The product is updated twice a day, providing 10-day forecast of wave parameters integrated from the two-dimensional (frequency, direction) wave spectrum and describe wave height, period and directional characteristics for both the overall sea-state, and wind-state, and swell components. Products are provided at hourly frequency '''Product Citation''':Please refer to our Technical FAQ for citing products.[http://marine.copernicus.eu/faq/cite-cmems-products-cmems-credit/?idpage=169]'''DOI (product) :'''   https://doi.org/10.48670/moi-00055