AndreaBozzo/ceres-open-data-index huggingface dataset:
ADEOS-II/GLI L3 Binned Aerosol Angstrom Exponent (1month,1/4deg)

ADEOS-II/GLI L3 Binned Aerosol Angstrom Exponent (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 Angstrom exponent data which is an index of aerosol size distribution over ocean surface. Visible (channel 13, 678nm) and near-IR (channel 19, 865nm) channels are used as input to retrieve Angstrom exponent and temporarily and spatially sampled level 2 data. For retrievals, ancillary data are needed, which include wind velocity at 10meter height, ozone and water vapor amount to correct radiance for surface reflectance, ozone and water vapor absorption. This product includes sum, square sum, max, min of each pixel is included. The provided format is HDF. The physical quantity unit is None. Map projection is EQR and generation unit is global. The spatial resolution is 1/4 degree and the statistical period is 1 month. The current version of the product is "Version 2".
ADEOS-II/AMSR L3 Ice Concentration (1month,0.25deg)

ADEOS-II/AMSR L3 Ice Concentration (1month,0.25deg) dataset is obtained from the AMSR sensor onboard ADEOS-II and produced by the Japan Aerospace Exploration Agency (JAXA).The Advanced Earth Observing Satellite-II (ADEOS-II) was launched on December 14, 2002 (Japanese Standard Time). The objective of ADEOS-II was to acquire data to contribute to international global climate change research, as well as for applications such as meteorology and fishery. ADEOS-II operation on orbit was given up on October 31 2003, because sufficient electric power was not available to maintain operation of the satellite.AMSR observes various physical contents concerning to water (H2O) by receiving weak microwaves naturally radiated from the Earth's surface and atmosphere and also regardless of day or night, the presence of clouds. Those sensors aim at collecting global data for mainly understanding the circulation of water and energy.Level 3 data inputs level 1B and level 2 data and projected to the map in accordance with the specified projection technique (Equi-Rectangular (EQR) or Polar Stereographic (PS)), and then averaged temporally and spatially. These statistical values are computed for observation data on ascending orbit and descending orbit respectively. This product includes monthly mean Ice Concentration (IC). Ice concentrations are derived mainly from 37 GHz and 19 GHz channels, as in the Bootstrap technique, but makes use of emissivity instead of brightness temperatures to minimizes errors associated with spatial changes in sea ice temperatures. The ice temperature is in the end normalized using the derived ice concentration value, for it to represent temperature only of the sea ice part of the satellite observational area. The physical quantity unit is %.The provided format is HDF4. The current version of the product is "Version 7". The statistical period is 1 month.The projection method is PS. The generation unit is global.
GCOM-C/SGLI L2 Statistics-Land Surface Reflectance(RS02) (8-Days,1km)

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance (RS02) (8-Days, 1km) 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 8-days processing, the land surface reflectance data of the past 24 days, 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_RS02_AVE is Average surface reflectance [unit: none] Rs_RS02_Date is Date identification of surface reflectance [unit: none] Rs_RS02_MAX is Maximum of surface reflectance [unit: none] Rs_RS02_MIN is Minimum of surface reflectance [unit: none] Rs_RS02_Ninput is Input data number of surface reflectance [unit: none] Rs_RS02_Nused is Used data number of surface reflectance [unit: none] Rs_RS02_QA_flag is quality flag about the statistics and BRDF regression [unit: none] Rs_RS02_RMS is root-mean-square (RMS) of BRDF model regression of surface reflectance [unit: none] Rs_RS02_c0-2 are c0, c1, and c2 coefficients of surface reflectance [unit: none] The provided format is HDF5. The spatial resolution is 1 km. The statistical period is 8 days also 1 month 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.
ADEOS OCTS L3 GAC Binned Ocean Color (1-Day)

ADEOS OCTS L3B GAC OC 1day 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 daily L3B, Level 3 binned GAC (Global Area Coverage) Ocean Color product (temporarily and spatially sampled) from level 2 data. GAG OC product is daily or weekly, monthly, annually integrated. Ocean color product stores Bin data, Normalized water-leaving radiance at 412nm, 443nm, 490nm, 520nm, 565nm, Aerosol radiance at 670nm, 765nm, 865nm, epsilon(670 : 865), and tau-a  at 865nm.CZCS-like pigment, chlor_a,  K_490, and chlor_a_K_490 data. These parameters are sum of natural logs of binned pixel values for corresponding and squares of natural logs of binned pixel values for corresponding each parameter.Normalized water-leaving radiance, Aerosol radiance, epsilon, and tau-a at 865nm data are stored in one subordinate file. The physical quantity unit except epsilon and tau_865 is "mW/cm-2/mm-1/sr-1". CZCS_pigment is CZCS-like pigment concentration data. The physical quantity unit is "mg/m-3". Chlor_a data is Chlorophyll a concentration data. The physical quantity unit is "mg/m-3". K_490 data is diffuse attenuation coefficient at 490 nm. The physical quantity unit is "m-1". Chlor_a_K_490 is integral chlorophyll, calculated using the Level 2 values chlorophyll a divided by K(490). The physical quantity unit is "mg/m-2". The provided format is HDF4 format.
GCOM-W/AMSR2 L3 Sea Ice Concentration (1-Month, 0.25 deg)

GCOM-W/AMSR2 L3 Sea Ice Concentration (1-Month, 0.25 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 on 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 dataset includes averaged Sea Ice Concentration (SIC), Standard Deviation (Standard_Deviation), Average Number (Average_Number) and Total Number (Total_Number). SIC is percentage of sea ice coverage within target ocean area. Coverage of the product is over the ocean around Arctic and Antarctic Sea, and unit is [%]. There is no sea ice within pixel area when sea ice concentration is 0 %, and all pixel area is covered by sea ice when it shows 100 %. We can learn distribution of sea ice immediately using this product, and it will become more and more important because of recent decrease of Arctic sea ice cover. Standard_Deviation is standara\d deviation value for each pixel. This item is only stored in monthly product. Average_Number is the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number is the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The Sampling resolution is 0.25degree grid. The statistical period is 1 month. The current version of the product is Version 3. The Version 2 is also available. The projection method is PS. The generation unit is global.
GCOM-W/AMSR2 L3 Brightness Temperature (6Ghz) (1-Month,0.25 deg)

GCOM-W/AMSR2 L3 Brightness Temperature (6Ghz) (1-Month,0.25 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 on 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 6GHz (Brightness_Temperature_(H), Brightness_Temperature_(H)), Standard Deviation (Standard_Deviation), Average Number (Average_Number) and Total Number (Total_Number). 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. Standard_Deviation is standard deviation value for each pixel. This item is only stored in monthly product. Average_Number is the number of valid physical quantity data (except error and missing) which was used to determine "Geophysical Data". Total_Number is the number of physical quantity data included in the grid (include valid and invalid). The provided format is HDF5. The Sampling resolution is 0.25degree grid. The statistical period is 1 month. 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 L3 Map Chlorophyll-a concentration (1-Month,1/24 deg)

GCOM-C/SGLI L3 Map Chlorophyll-a concentration (1-Month,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.This dataset is 1 month map-projected statistics product.This dataset includes chlorophyll-a concentration. The physical quantity unit is mg/m^3. 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.
GCOM-C/SGLI L3 Map Shadow index (SI) (1-Month,1/24 deg)

GCOM-C/SGLI L3 Map Shadow index (SI) (1-Month,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.This dataset is 1 month map-projected statistics product. This dataset includes SI: Shadow Index and QA_flag. Physical quantity unit is dimensionless. 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 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.
GCOM-C/SGLI L3 Binned Leaf Area Index (LAI) (8-Days,1/24 deg)

GCOM-C/SGLI L3 Binned Leaf Area Index (LAI) (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.This dataset is 8 days binning statistics product by reducing the spatial resolution to 1/24 deg with EQA projection. This dataset includes LAI: Leaf Area Index and QA_flag. 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 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.
OSI SAF Reprocessed SeaWinds L2 25 km winds. CLIMATE APPLICATIONS: - Re-analyses of atmospheric and oceanographic modeling - Study of air-sea interaction - (Wind) climate research - Environmental monitoring

OSI SAF Reprocessed SeaWinds L2 25 km winds. CLIMATE APPLICATIONS: - Re-analyses of atmospheric and oceanographic modeling - Study of air-sea interaction - (Wind) climate research - Environmental monitoring
GCOM-C/SGLI L3 Binned Enhanced Vegetation Index (EVI) (1-Month,1/24 deg)

GCOM-C/SGLI L3 Binned Enhanced Vegetation Index (EVI) (1-Month,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.This dataset is 1 month binning statistics product by reducing the spatial resolution to 1/24 deg with EQA projection. This dataset includes EVI: Enhanced Vegetation Index and QA_flag. 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 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.
TRMM/PR L2 Surface Cross Section

TRMM/PR L2 Surface Cross Section is obtained from the PR sensor onboard TRMM and produced by the Japan Aerospace Exploration Agency (JAXA). The Precipitation Radar (PR) is the primary instrument onboard TRMM. The most innovative of the five TRMM instruments, the PR is the first quantitative rain radar instrument to be flown in space. The major objectives of the PR instrument are as follows:a. Provides a 3-dimensional rainfall structureb. Achieves quantitative measurements of the rain rates over both land and ocean When properly combined with TMI measurements, the Precipitation Radar (PR) data is instrumental in obtaining the height profile of the precipitation content, from which the profile of latent heat release from the Earth can be estimated. The rain rate is estimated from the radar reflectivity factor when the rain rate is small by applying conventional algorithms used for ground-based radar. For large rain rates, a rain attenuation correction is made using the total-path attenuation of land or sea surface echoes.Based on the 1B-21 radar received power, time and spatial average of ground surface scattering coefficient (Scattering Radar Cross Section of the surface) are calculated. If it's raining, Path Integrated Attenuation (PIA) is calculated based on the surface reference data of no rain area. This PIA is used to calculate rainfall profile in 2A-25 as reference data using Surface Reference Technique (SRT).The provided format is HDF4. The Sampling resolution are 5 km (horizontal) and 250 m (range). The current version of the product is Version 7. The generation unit is orbit.
GPM/DPR DPR Environment Auxiliary

GPM/DPR DPR Environment Auxiliary dataset is produced by the Japan Aerospace Exploration Agency (JAXA). Environment Auxiliary (ENV) is Meteorological analysis data used as an input data to the level 2 processing shown. They are the Japanese Global Analysis model data (GANAL) used to provide atmospheric environmental conditions.In the current algorithm formulation, only the analysis data such as analysis data, must be integrated from an external source during combined algorithm processing. Analysis data are required to produce initial estimations of environmental parameters such as total precipitable water, TPWanal, cloud liquid water path, CLWPanal, surface skin temperature, Tsfcanal, and 10m altitude wind speed, U10manal. The current algorithm design requires space-time interpolation of these data from the Japanese Meteorological agencyâs (JMA) global analysis (GANAL) during standard algorithm processing. The data are interpolated to the DPR footprint/range bin locations and overpass times in the Vertical Profile Submodule (VER) of the Level 2 Radar Algorithm and then output. For near realtime processing, the JMA forecast fields, but if these fields are not received in time for any reason, the climate value data are substituted for the JMA analysis/forecast data in the VER processing.Main parameters: Air temperature, Air pressure, Water vapor, Cloud liquid waterSwath width: 245 kmResolution: 5 km(horizontal), 125/250 m(vertical)The generation unit is orbit. The current version of the product is Version 7. The Version 6 is also available.