AndreaBozzo/ceres-open-data-index huggingface dataset:
GCOM-W/AMSR2 L3 Sea Surface Wind Speed (1-Month,0.1 deg)

GCOM-W/AMSR2 L3 Sea Surface Wind Speed (1-Month,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 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 Month Mean Sea Surface Wind Speed (SSW), Standard Deviation (Standard_Deviation), Average Number (Average_Number) and Total Number (Total_Number). Coverage of SSW is over the ocean only, and unit is [m/s]. Microwave radiometer can observe wind speed under the clouds, but it is difficult to estimate where there is rainfall and will be missing value. Wind speed around tropical cyclones, however, is important parameter in weather forecast, and we provide research product, which includes wind speed in rainy area over the ocean, as all-weather wind speed research product. 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 0.1degree grid. The statistical period is 1 month. The current version of the product is Version 4. The Version 3 is also available. The projection method is EQR. The generation unit is global.
ADEOS-II/GLI L3 STA Map Cloud Effective Particle Radius of water cloud by reflection method (1month,1/4deg)

ADEOS-II/GLI L3 STA Map Cloud Effective Particle Radius 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 effective particle radius 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 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 L2 Statistics-Land Surface Reflectance(RV10) (8-Days,250m)

GCOM-C/SGLI L2 Statistics-Land Surface Reflectance (RV10) (8-Days, 250m) is obtained from the SGLI sensor onboard GCOM-C and produced by the Japan Aerospace Exploration Agency (JAXA). Using the Level2 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_VN10_AVE is Normalized surface reflectance [unit: none]Rs_VN10_Date is Date identification of surface reflectance [unit: none]Rs_VN10_MAX is Maximum of surface reflectance [unit: none]Rs_VN10_MIN is Minimum of surface reflectance [unit: none]Rs_VN10_Ninput is Input data number of surface reflectance [unit: none]Rs_VN10_Nused is Used data number of surface reflectance [unit: none]Rs_VN10_QA_flag is quality flag about the statistics and BRDF regression [unit: none]Rs_VN10_RMS is RMS of BRDF model regression of surface reflectance [unit: none]Rs_VN10_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 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.
GCOM-C/SGLI L3 Map Snow and ice surface temperature (1-Day,1/24 deg)

GCOM-C/SGLI L3 Map Snow and ice surface temperature (1-Day,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 daily map-projected statistics product. This dataset includes snow and ice surface temperature based on a model snow. Physical quantity unit is Kelvin. 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 day, also 8 days 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 Binned Vegetation Roughness Index (VRI) (1-Day,1/24 deg)

GCOM-C/SGLI L3 Binned Vegetation Roughness Index (VRI) (1-Day,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 daily spatial binning statistics product by reducing the spatial resolution to 1/24 deg with EQA projection.This dataset includes VRI: Vegetation Roughness Index. 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 day, also 8 days 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 STA Map Chlorophyll-a (8days,9km)

ADEOS-II/GLI L3 STA Map Chlorophyll-a (8days,9km) 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 derived from GLI_ADEOS-II_L2_NW data by using empirical relationships based on in-water NWLR and measurements of the products of interest. 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 unit is mg/m^3. The spatial resolution is 9 km. The statistical period is 8 days, also 1 day and 1month statistics are available. Map projection is EQR. The generation unit is global. The current version of the product is "Version 2".
GCOM-C/SGLI L2 Statistics-Shadow index (SI) (1-Month,250m)

GCOM-C/SGLI L2 Statistics-Shadow Index (SI) (1-Month,250m) 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.This dataset includes SI: Shadow Index. SDI is the fraction of shadow generated by conformation of vegetation (areal occupation within a pixel) and is estimated with regression equation. The physical quantity unit is dimentionless. The statistics values stored to product 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 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 L3 Map Vegetation Roughness Index (VRI) (8-Days,1/24 deg)

GCOM-C/SGLI L3 Map Vegetation Roughness Index (VRI) (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 map-projected statistics product. This dataset includes VRI: Vegetation Roughness Index. Physical quantity unit is dimensionless. The stored statistics values are average (AVE) and quality flag (QA_flag). 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-W/AMSR2 L3 Soil Moisture Content (1-Day,0.25 deg)

GCOM-W/AMSR2 L3 Soil Moisture Content (1-Day,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 Soil Moisture Content (SMC), amount of soil wetness near the ground surface as volume water content. Coverage of the product is over land only, and unit is [%]. Soil moisture cannot be estimated near the coast, around big lakes and marshes, or areas with wide spread dense forests. Since microwave radiometer can get data constantly and frequently, this product is used in monitoring of large-scale cultivation areas in the continents. Missing value is -32768. 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 -32761 to -32767. It is outside observation swath data. The provided format is HDF5. The Sampling resolution is 0.25degree grid. The statistical period is 1 day. The current version of the product is Version 3. The Version 2 is also available. The generation unit is global.
GCOM-C/SGLI L3 Binned Snow and ice surface temperature (1-Month,1/24 deg)

GCOM-C/SGLI L3 Binned Snow and ice surface temperature (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. 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 snow and ice surface temperature based on a model snow. Physical quantity unit is Kelvin. 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.
Optimal Cloud Analysis - MSG - 0 degree

The Optimal Cloud Analysis is an algorithm to extract the principal cloud parameters (phase, pressure, optical thickness and effective radius) using an optimal estimation method and simultaneously all the SEVIRI spectral measurements. This combination allows for robust quality control (checking the scene corresponds to the cloud model) and systematic parameter error analysis. As part of the quality control, multi-layer clouds are identified and reprocessed with an adjusted model setup that permits the retrieval of two layer quantities. In the current configuration, the IR 3.9 Âµm and IR 9.6 Âµm measurements are made passive because of difficulties in the radiative transfer modelling.
Aqua/AMSR-E L3 36.5GHz-H Mean for Brightness Temperature (1-Month, 0.25 deg)

Aqua/AMSR-E L3 36.5GHz-H Mean for Brightness Temperature (1-Month, 0.25 deg) dataset is obtained from the AMSR-E sensor onboard Aqua and produced by the Japan Aerospace Exploration Agency (JAXA). Aqua of NASA was launched on May 4th, 2002 in Sun-synchronous sub-recurrent Orbit. Aqua observes various kinds of physical phenomena related to water and energy circulation from space. Aqua data promoted the research activities for interactions between the atmosphere, oceans and lands, and their effects on climate changes. AMSR-E scans the Earth's surface by mechanically rotating the antenna and acquires radiance data of the Earth's surface. Each frequency band is monitored by vertical and horizontal polarized wave. It conically scans and keeps an angle of incidence on the earth surface (a nominal of 55 degrees) and accomplishes a swath width of about 1450 km. The AMSR-E reached its limit to maintain the antenna rotation speed necessary for regular observations, and the AMSR-E restarted its observation in slow rotation mode (2 rotations per minute) on December 4, 2012. However, the AMSR-E reached its limit to maintain the antenna rotation speed necessary for slow rotation mode and it automatically halted its observation and rotation on December 4, 2015. 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 Brightness Temperature at 36.5GHz horizontal polarized wave. Values that are calculated from sensor counts and are proportional to the power of observed electromagnetic wave. Unit is Kelvin. The provided format is HDF4. The statistical period is 1 month. The current version of the product is "Version 3". The projection method is EQR and PS. The generation unit is global.
ADEOS-II/AMSR L3 Soil Moisture (1month,0.25deg)

ADEOS-II/AMSR L3 Soil Moisture (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 Soil Moisture (SM). Among the water surface emissivity at AMSR observing frequencies, the emissivity is larger at the higher frequency than at the lower one for both polarizations. The index, the discrepancy between the brightness temperatures at two frequencies divided by one at lower frequency, can be used as an index for surface wetness. 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 EQR. The generation unit is global.