AndreaBozzo/ceres-open-data-index huggingface dataset:
GCOM-C/SGLI L3 Map Snow and Ice Cover Extent (8-Days,1/24 deg)

GCOM-C/SGLI L3 Map Snow and Ice Cover Extent (8-Days,1/24 deg) 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. 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 map-projected statistics product. This dataset includes snow and ice cover extent covering global. It distinguishes snow, ice, cloud and several types of ground surface focusing on the cryospheric region based on the difference in reflectance characteristics by ground surface varieties. Physical quantity unit is dimensionless. 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 8 days, also 1 day and 1 month 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.
European North West Shelf/Iberia Biscay Irish Seas - High Resolution L4 Sea Surface Temperature Reprocessed

'''Short description:''' For the European North West Shelf Ocean Iberia Biscay Irish Seas. The IFREMER Sea Surface Temperature reprocessed analysis aims at providing daily gap-free maps of sea surface temperature, referred as L4 product, at 0.05deg. x 0.05deg. horizontal resolution, over the 1982-present period, using satellite data from the European Space Agency Sea Surface Temperature Climate Change Initiative (ESA SST CCI) L3 products (1982-2016) and from the Copernicus Climate Change Service (C3S) L3 product (2017-present). The gridded SST product is intended to represent a daily-mean SST field at 20 cm depth.'''DOI (product) :'''   https://doi.org/10.48670/moi-00153
GCOM-C/SGLI L2 Land surface temperature

GCOM-C/SGLI L2 Land surface temperature 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 sattelite 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 2 products are defined to be products composed of physical quantity data that is calculated based on Level 1B products and meteorological data, as well as various additional data related to the physical quantity data.This dataset includes Land Surface Emissivity at TI01 (E01), Land Surface Emissivity at TI02 (E02), Land Surface Temperature (LST), and quality flag (QA_flag). E01 is land surface emissivity at TI01 estimated using the geometric corrected TOA radiance data as input. The physical quantiy unit is None. E02 is land surface emissivity at TI02 estimated using the geometric corrected TOA radiance data as input. The physical quantiy unit is None. LST is the temperature of terrestrial land surface estimated using the geometric corrected TOA radiance data as input by semi-analytical approach based on the radiative transfer simulation at two thermal infrared bands and the Split-Window method. The physical quantiy units is Kelvin.The QA_flag shows flag of quality and observation condition.The provided format is HDF5. The spatial resolution is 250m. The projection method is EQA. The generation unit is Tile. The current version of the product is Version 3. The Version 2 is also available, but please note that the "QA_Flag" data has been changed.
ADEOS/OCTS L2 RTC Sea Surface Temperature (SST)

ADEOS OCTS L2 RTC SST dataset is obtained from OCTS sensor onboard ADEOS and produced by NASDA (National Space Development Agency of Japan). Advanced Earth Observing Satellite (ADEOS) is sun-synchronous quasi-recurrent orbiter launched on August 17, 1996, and carries OCTS (Ocean Color and Temperature Scanner) and AVNIR (Advanced Visible and Near-Infrared Radiometer) sensor.The main objectives of ADEOS (MIDORI) is to contribute to elucidation of phenomena of the earth system through integrated observation of geophysical parameters using a number of sensors. ADEOS operation on orbit was given up on June 30, 1997, because the generated power was lost due to the accident of the blanket of the solar array paddle breaking. OCTS observes the amount of chlorophyll and various substances contained in the sea, sea surface temperature, cloud formation process, etc by receiving 12 bands of wavelengths from the visible light region to the thermal infrared region. The observation field of OCTS is about 1400km, and it is possible to scan in the north-south direction. Those sensors aim at collecting global data for mainly understanding the state of the ocean and its phenomena. This product is RTC (real time coverage) sea surface temperature product (SST)product, transformed to geophysical parameters from level 1B data. Furthermore, supplemental data, such as geometric correction information, the OCTS telemetry, quality information, the sun vector, scene information and others are included.The provided format is HDF4 format The Spatial resolution is 700 m.
GCOM-C/SGLI L3 Map Atmospheric corrected reflectance(RN11) (8-Days,1/24 deg)

GCOM-C/SGLI L3 Map Atmospheric corrected reflectance (RN11) (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 satelite 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 map-projected statistics product. This dataset includes Reflectance of VNR-NP Band 11 co-registered for VNR-PL (Center Wavelength is 868.5 nm). The physical quantity unit is W/m^2/um/sr. 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 8 days, also 1 day and 1 month 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.
GCOM-C/SGLI L3 Map Atmospheric corrected reflectance(RV10) (8-Days,1/24 deg)

GCOM-C/SGLI L3 Map Atmospheric corrected reflectance (RV10) (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 map-projected statistics product. This dataset includes Surface reflectance of RV10 (Center Wavelength is 868.5 nm) and QA_Flag. The physical quantity unit is dimensionless. 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 8 days, also 1 day and 1 month 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.
ADEOS-II/GLI L2 Ocean color

ADEOS-II/GLI L2 Ocean color 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 Chlorophyll_a concentration, Attenuation at 490 nm, Suspended solid concentration, CDOM absorption at 440nm. They are derived from GLI_ADEOS-II_L2_NW data by using empirical relationships based on in-water NWLR and measurements of the products of interest. Each physical unit is mg/m^3, 1/m g/m^3 and 1/m. The provided format is HDF. Map projection is not done. Generation unit is path. The spatial resolution is approximately 4 km. The current version of the product is "Version 2".
GCOM-W/AMSR2 L3 Brightness Temperature (10Ghz) (1-Day,0.1 deg)

GCOM-W/AMSR2 L3 Brightness Temperature (10Ghz) (1-Day,0.1 deg) dataset is obtained from the AMSR2 sensor onboard GCOM-W and produced by the Japan Aerospace Exploration Agency (JAXA). GCOM-W was launched by the H-IIA Launch Vehicle No. 21 (H-IIA F21) at 1:39 a.m. on May 18th, 2012 (Japan Standard Time, JST) and inserted into a planned position the "A-Train" orbit. GCOM-W equipped with AMSR2 takes measurements at multiple microwave frequencies and multiple polarizations of weak electromagnetic waves in the microwave band radiated from the Earthâs surface and the atmosphere. AMSR2 has swath of 1450 km and 7 microwave bands. The observation data will enable the creation of long-term trustworthy data sets of global physical amount. The Level 3 process uses as its inputs one day's worth of Level 1B data and Level 2 data and calculates, by taking a simple arithmetic mean, the daily statistical mean value at each grid point in the specified mapping projection method (either equi-rectangular or polar stereo). Furthermore, Level 3 processing takes one month's worth of each geophysical parameter's Level 3 daily statistical mean values and calculates the monthly statistical mean value at each grid point using a simple arithmetic mean in the same way as the daily statistical mean calculation. The statistical means are calculated separately for observations along the satellite's ascending and descending tracks. This product includes averaged Brightness Temperature at 10GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)). Brightness Temperature is calculated from sensor counts and is proportional to the power of observed electromagnetic wave. They are expressed by the physical temperature of blackbody, which can emit the electromagnetic wave with the same power, and unit is Kelvin. Horizontal polarized wave and vertical polarized wave are stored separately. Missing value is 65535. When there is no geophysical data within observation swath, this value is set up when computing neither the case where the amount of geophysics is incomputable, nor the amount of geophysics. Error values are 65531 to 65534. It is outside observation swath data. The provided format is HDF5. The Sampling resolution is 0.1degree grid. The statistical period is 1 day. The current version of the product is Version 2. The Version 1 is also available. The projection method is EQR and PS. The generation unit is global.
GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RV08) (1-Month,250m)

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance (RV08) (1-Month, 250m) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). Using the Level 2 atmospheric corrected land surface reflectance tile product as input, BRDF correction is performed for the land surface in clear region using data of multiple days, and the reflectance equivalent to that at nadir view direction is stored in the output product. The region definition and spatial resolutions of the output product are kept the input data. In 1-Month processing, the land surface reflectance data of the past 1 month, respectively are fitted to generate appropriate BRDF models with the correction coefficients. 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.This dataset includes of following SDs (Center Wavelength is correspond to channel name as same as L1B):  Rs_VN08_AVE is Average surface reflectance [unit: none] Rs_VN08_Date is Date identification of surface reflectance [unit: none] Rs_VN08_MAX is Maximum of surface reflectance [unit: none] Rs_VN08_MIN is Minimum of surface reflectance [unit: none] Rs_VN08_Ninput is Input data number of surface reflectance [unit: none] Rs_VN08_Nused is Used data number of surface reflectance [unit: none] Rs_VN08_QA_flag is quality flag about the statistics and BRDF regression [unit: none] Rs_VN08_RMS is root-mean-square (RMS) of BRDF model regression of surface reflectance [unit: none] Rs_VN08_c0-2 are c0, c1, and c2 coefficients of surface reflectance [unit: none] The provided format is HDF5. The spatial resolution is 250 m. The statistical period is 1 month also 8 days statistics is available. The projection method is EQA. The generation unit is Tile. The current version of the product is Version 3. The Version 2 is also available.
GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RV05) (1-Month,250m)

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance (RV05) (1-Month, 250m) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). Using the Level 2 atmospheric corrected land surface reflectance tile product as input, BRDF correction is performed for the land surface in clear region using data of multiple days, and the reflectance equivalent to that at nadir view direction is stored in the output product. The region definition and spatial resolutions of the output product are kept the input data. In 1-Month processing, the land surface reflectance data of the past 1 month, respectively are fitted to generate appropriate BRDF models with the correction coefficients. 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.This dataset includes of following SDs (Center Wavelength is correspond to channel name as same as L1B):  Rs_VN05_AVE is Average surface reflectance [unit: none] Rs_VN05_Date is Date identification of surface reflectance [unit: none] Rs_VN05_MAX is Maximum of surface reflectance [unit: none] Rs_VN05_MIN is Minimum of surface reflectance [unit: none] Rs_VN05_Ninput is Input data number of surface reflectance [unit: none] Rs_VN05_Nused is Used data number of surface reflectance [unit: none] Rs_VN05_QA_flag is quality flag about the statistics and BRDF regression [unit: none] Rs_VN05_RMS is root-mean-square (RMS) of BRDF model regression of surface reflectance [unit: none] Rs_VN05_c0-2 are c0, c1, and c2 coefficients of surface reflectance [unit: none] The provided format is HDF5. The spatial resolution is 250 m. The statistical period is 1 month also 8 days statistics is available. The projection method is EQA. The generation unit is Tile. The current version of the product is Version 3. The Version 2 is also available.
Global Ocean - Delayed Mode Wave product

'''Short description:'''These products integrate wave observations aggregated and validated from the Regional EuroGOOS consortium (Arctic-ROOS, BOOS, NOOS, IBI-ROOS, MONGOOS) and Black Sea GOOS as well as from National Data Centers (NODCs) and JCOMM global systems (OceanSITES, DBCP) and the Global telecommunication system (GTS) used by the Met Offices.'''DOI (product) :'''  https://doi.org/10.17882/70345
EarthCARE/CPR L2A CPR one-sensor Echo Product

EarthCARE/CPR/CPR_ECO dataset is obtained from the Cloud Profiling Radar (CPR) sensor onboard Earth Cloud Aerosol and Radiation Explorer (EarthCARE) Satellite and produced by the Japan Aerospace Exploration Agency (JAXA). EarthCARE Satellite carries four observation sensors: the Cloud Profiling Radar(CPR), the Atmospheric Lidar(ATLID), the Multi-Spectral Imager(MSI), and the Broadband Radiometer(BBR). The main purpose of EarthCARE  to globally observe the distribution and vertical structure of clouds and aerosols, as well as the radiant energy at the top of the atmosphere. This project aims to contribute to improving the accuracy of climate change prediction by considering the behavior of clouds and aerosols and their impact on the Earth's climate, incorporating the obtained knowledge into numerical climate models, and constraining the large uncertainties in cloud-aerosol-radiation interactions within numerical climate models. EarthCARE Satellite was launched on 28/05/2024(UTC).EarthCARE Satellite can observe a range from approximately 90 degrees south latitude to approximately 90 degrees north latitude, and flies in a sun-synchronous subrecurrent orbit (number of return days: 25 days) at an altitude of approximately 400 km. The vertical resolution of CPR is approximately 500m.In the CPR level 2A standard processing, the level 1B product is used as input data. This product contains data for radar reflectivity with clutter echo and gas attenuation corrections, and Doppler velocity with unfolding correction. Additionally, the data is integrated for both 1km and 10km.The file format is HDF5, but it's compatible with NetCDF4. It is divided into header and science data sections. The sampling resolution is 1km (horizontal) and 500 m (vertical).  The generation unit is 1/8 orbit(1 frame).
ADEOS-II/GLI L3 STA Map Cloud Top Temperature of water cloud by reflection method (1month,1/4deg)

ADEOS-II/GLI L3 STA Map Cloud Top Temperature of water cloud by reflection 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 temperature of water cloud which is retrieved from a non-absorption channel (channel 13), an absorption channel (channel 30), and a thermal channel (channel 35) are used to derive cloud effective particle radius. This product is the representative values, which are estimated from level 3 binned products and projected onto map. The provided format is HDF. The physical quantity unit is Kelvin. 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 Binned Atmospheric corrected reflectance(RV09) (1-Month,1/24 deg)

GCOM-C/SGLI L3 Binned Atmospheric corrected reflectance (RV09) (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 binning statistics product by reducing the spatial resolution to 1/24 deg with EQA projection. This dataset includes Surface reflectance of RV09 (Center Wavelength is 763 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 1 month, also 1 day and 8 days 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.