AndreaBozzo/ceres-open-data-index huggingface dataset:
GCOM-C/SGLI L1B Visible and Near Infrared (Non-Polarization) (250m)

GCOM-C/SGLI L1B Visible and Near Infrared (Non-Polarization) (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. GCOM-C/SGLI Level 1B products are using the data contained in Level 1A products as inputs, and the following processes are applied on the input data, calculation of spectral radiance, re-sampling of geometric correction, data and observation data to L1B, Reference Coordinate System, calculation of land/water flag, creation of quality information. This product is top of atmosphere radiance SI (Scaled Integer) data, using the Level 1A product as input. The provided format is HDF5. The spatial resolution is 250 m. 1 km is also available. Radiometric correction is stored. The geometries are projected to L1B reference coordinates commonly for VNR-NP and IRS, and the ground observation position in each band are same. Therefore, as geometric information, latitude, longitude, solar azimuth angle and solar zenith angle of 10 pixels interval are stored commonly for band. On the other hand, since the precise satellite position in observed pixels is varied depending on band, the satellite azimuth angle and the satellite zenith angle are stored by 10 pixels interval for each band. The stored geometric information is the center position of the pixel. In addition, The current version of the product is Version 2. QA flag corresponding to the observation image is appended to Level 1B product.
NOAA Climate Data Record (CDR) of Total Solar Irradiance (TSI), NRLTSI Version 2. CLIMATE APPLICATIONS: Total solar irradiance is of broad use to industrial, scientific, and government applications including renewable energy, water resources, hydrology, atmospheric chemistry, global climate models, stratospheric and stratospheric-climate models, and community radiative transfer models

NOAA Climate Data Record (CDR) of Total Solar Irradiance (TSI), NRLTSI Version 2. CLIMATE APPLICATIONS: Total solar irradiance is of broad use to industrial, scientific, and government applications including renewable energy, water resources, hydrology, atmospheric chemistry, global climate models, stratospheric and stratospheric-climate models, and community radiative transfer models. OFFICIAL CITATION: Odele Coddington, Judith Lean, Doug Lindholm, Peter Pilewskie, and Martin Snow and NOAA CDR Program (2015): NOAA Climate Data Record (CDR) of Total Solar Irradiance (TSI), Version 2. [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V55B00C1 [access date]
TOA GERB 1. CLIMATE APPLICATIONS: Climate research NMHSs WCRP GERB science team

TOA GERB 1. CLIMATE APPLICATIONS: Climate research NMHSs WCRP GERB science team. OFFICIAL CITATION: Clerbaux et al. 2013: CM SAF TOA Radiation "GERB" dataset - Edition 1 - Monthly Means / Daily Means / Monthly mean diurnal cycle. Satellite Application Facility on Climate Monitoring. http://dx.doi.org/10.5676/EUM_SAF_CM/TOA_GERB/V001. publication reference: Clerbaux et al. 2013: http://doi.org/10.1063/1.4804854
ADEOS-II/GLI L3 Binned Snow grain size retrieved with 865nm band (16days,1/12deg)

ADEOS-II/GLI L3 Binned Snow grain size retrieved with 865nm band (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 snow grain size retrieved with 865nm is using GLI channels 5 (0.46 Î¼m) and 19 (0.865 Î¼m) which is based on the principle that the reflectance of snow is known to be dependent on snow grain size in the near infra-red (NIR) range and pollution in the visible range. Level 2 snow impurities, grain size and surface temperature product (SNGI_p) is used as input data. It can be applied at high latitude (polar) as well as mid-latitude regions. The physical quantity is micro meter. This product includes sum, square sum, max, min of each pixel is included.The provided format is HDF. The spatial resolution is 1/12 degree and the statistical period is 16 days, also 1month statistics is available. Map projection is EQA and PS. The generation unit is Global, North and South Hemisphere. The current version of the product is "Version 2".
ESA Ocean Colour CCI version 3.0. CLIMATE APPLICATIONS: Marine ecosystem dynamics  Ocean carbon budget  Ocean heat budget  Air-sea flux of heat  Air-sea flux of carbon  Ocean acidification  Biogenic aerosol

ESA Ocean Colour CCI version 3.0. CLIMATE APPLICATIONS: Marine ecosystem dynamics  Ocean carbon budget  Ocean heat budget  Air-sea flux of heat  Air-sea flux of carbon  Ocean acidification  Biogenic aerosol
CLAAS 1. CLIMATE APPLICATIONS: Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M

CLAAS 1. CLIMATE APPLICATIONS: Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M. OFFICIAL CITATION: Stengel et al. 2013: CLAAS: CM SAF CLoud property dAtAset using SEVIRI - Edition 1 - Hourly / Daily Means, Pentad Means, Monthly Means / Monthly Mean Diurnal Cycle / Monthly Histograms. Satellite Application Facility on Climate Monitoring. http://dx.doi.org/10.5676/EUM_SAF_CM/CLAAS/V001. publication reference: Stengel et al. 2013: http://dx.doi.org/10.5194/acpd-13-26451-2013
CLAAS-2. CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes  regional climate monitoring and modelling Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M, WMO climate services

CLAAS-2. CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes  regional climate monitoring and modelling Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M, WMO climate services. OFFICIAL CITATION: Stengel et al. 2014: http://dx.doi.org/10.5194/acp-14-4297-
RAD_MVIRI / HELIOSAT Edition 1. CLIMATE APPLICATIONS: Climate Research, NMHSs, government agencies, private and public sector Solar energy planning reinsurance companies FP7 EURO-4M

RAD_MVIRI / HELIOSAT Edition 1. CLIMATE APPLICATIONS: Climate Research, NMHSs, government agencies, private and public sector Solar energy planning reinsurance companies FP7 EURO-4M. OFFICIAL CITATION: Posselt et al. 2011: CM SAF Surface Radiation MVIRI Data Set 1.0 - Monthly Means / Daily Means / Hourly Means. Satellite Application Facility on Climate Monitoring. http://dx.doi.org/10.5676/EUM_SAF_CM/RAD_MVIRI/V001. publication reference: Posselt et al. 2012: http://dx.doi.org/10.1016/j.rse.2011.11.016
CLAAS 1. CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes at temporal scales of hours to years Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M

CLAAS 1. CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes at temporal scales of hours to years Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M. OFFICIAL CITATION: Stengel et al. 2013: CLAAS: CM SAF CLoud property dAtAset using SEVIRI - Edition 1 - Hourly / Daily Means, Pentad Means, Monthly Means / Monthly Mean Diurnal Cycle / Monthly Histograms. Satellite Application Facility on Climate Monitoring. http://dx.doi.org/10.5676/EUM_SAF_CM/CLAAS/V001. publication reference: Stengel et al. 2013: http://dx.doi.org/10.5194/acpd-13-26451-2013
CLAAS 1. CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes at temporal scales of hours to years Climate research, NMHSs, government agencies, private & public sector WCRP ACPC initiative, FP7 EURO-4M

CLAAS 1. CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes at temporal scales of hours to years Climate research, NMHSs, government agencies, private & public sector WCRP ACPC initiative, FP7 EURO-4M. OFFICIAL CITATION: Stengel et al. 2013: CLAAS: CM SAF CLoud property dAtAset using SEVIRI - Edition 1 - Hourly / Daily Means, Pentad Means, Monthly Means / Monthly Mean Diurnal Cycle / Monthly Histograms. Satellite Application Facility on Climate Monitoring. http://dx.doi.org/10.5676/EUM_SAF_CM/CLAAS/V001. publication reference: Stengel et al. 2013: http://dx.doi.org/10.5194/acpd-13-26451-2013
WVT_ATOVS 1. CLIMATE APPLICATIONS: Climate Research NMHSs WCRP GEWEX WMO RCC-CM for RA-VI

WVT_ATOVS 1. CLIMATE APPLICATIONS: Climate Research NMHSs WCRP GEWEX WMO RCC-CM for RA-VI. OFFICIAL CITATION: Courcoux and Schroeder 2013: Vertically integrated water vapour, humidity and temperature at pressures levels and layers from ATOVS - Daily Means / Monthly Means. Satellite Application Facility on Climate Monitoring. http://dx.doi.org/10.5676/EUM_SAF_CM/WVT_ATOVS/V001. publication reference: Courcoux and Schroeder 2015: http://doi.org/10.5194/essd-7-397-2015
CLARA-A1. CLIMATE APPLICATIONS: global cloud climatologies climate research (monitoring and modelling), NMHSs & government agencies

CLARA-A1. CLIMATE APPLICATIONS: global cloud climatologies climate research (monitoring and modelling), NMHSs & government agencies. OFFICIAL CITATION: Karlsson et al. 2012: CM SAF cLouds, Albedo and Radiation dataset from AVHRR data - Edition 1 - Monthly Means / Daily Means / Pentad Means / Monthly Histograms. Satellite Application Facility on Climate Monitoring. DOI:10.5676/EUM_SAF_CM/CLARA_AVHRR/V001. http://dx.doi.org/10.5676/EUM_SAF_CM/CLARA_AVHRR/V001 publication reference: Karlsson et al. 2013: http://doi.org/10.5194/acpd-13-935-2013
CLARA-A1. CLIMATE APPLICATIONS: global cloud climatologies climate research (monitoring and modelling), NMHSs & government agencies, private and public sector

CLARA-A1. CLIMATE APPLICATIONS: global cloud climatologies climate research (monitoring and modelling), NMHSs & government agencies, private and public sector. OFFICIAL CITATION: Karlsson et al. 2012: CM SAF cLouds, Albedo and Radiation dataset from AVHRR data - Edition 1 - Monthly Means / Daily Means / Pentad Means / Monthly Histograms. Satellite Application Facility on Climate Monitoring. DOI:10.5676/EUM_SAF_CM/CLARA_AVHRR/V001. http://dx.doi.org/10.5676/EUM_SAF_CM/CLARA_AVHRR/V001 publication reference: Karlsson et al. 2013: http://doi.org/10.5194/acpd-13-935-2013
GCOM-C/SGLI L3 Binned Classified cloud fraction(CFR8) (8-Days,1/12 deg)

GCOM-C/SGLI L3 Binned Classified cloud fraction (CFR8) (8-Days,1/12 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 1/12 deg with EQA projection.This dataset includes number of cloud pixels identified as ISCCP Class-8 (1:Cirrus, 2:Cirro-stratus, 3:Deep convection, 4:Altocumulus,5:Alto-stratus, 6:Nimbo-stratus, 7:Cumulus, 8:Strato-cumulus, 9:Stratus)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 1/12 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.
Mono-mission along-track Corrected Sea Surface Heights - Level-2+ (CorSSH - L2P) Issue 1.1 2014-04-18. CLIMATE APPLICATIONS: This dataset is the basic multi-missions calibrated product used as an input to build records #10774 and #10775 from CNES and record #10177 (ESACCI-SEALEVEL-L4-MSLA-MERGED-19930115000000-fv01) from CLS.

Mono-mission along-track Corrected Sea Surface Heights - Level-2+ (CorSSH - L2P) Issue 1.1 2014-04-18. CLIMATE APPLICATIONS: This dataset is the basic multi-missions calibrated product used as an input to build records #10774 and #10775 from CNES and record #10177 (ESACCI-SEALEVEL-L4-MSLA-MERGED-19930115000000-fv01) from CLS.
CLIMATE APPLICATIONS: The global mean level of the oceans is one of the most important indicators of climate change. It incorporates the reactions from several different components of the climate system. Precise monitoring of changes in the mean level of the oceans, particularly through the use of altimetry satellites, is vitally important, for understanding not just the climate but also the socioeconomic consequences of any rise in sea level.

CLIMATE APPLICATIONS: The global mean level of the oceans is one of the most important indicators of climate change. It incorporates the reactions from several different components of the climate system. Precise monitoring of changes in the mean level of the oceans, particularly through the use of altimetry satellites, is vitally important, for understanding not just the climate but also the socioeconomic consequences of any rise in sea level.
CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes  regional climate monitoring and modelling Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M, WMO climate services

CLIMATE APPLICATIONS: Study of small, regional, and large scale cloud processes  regional climate monitoring and modelling Climate research, NMHSs, government agencies WCRP ACPC initiative, FP7 EURO-4M, WMO climate services
CLIMATE APPLICATIONS: This data supports the WCRP Core Project GEWEX program (i.e. Kummerow et al. 2015). Global analyses of the water and energy cycles. Regional scale analyses of air-sea interaction.  Storm scale analyses of air-sea interaction.

CLIMATE APPLICATIONS: This data supports the WCRP Core Project GEWEX program (i.e. Kummerow et al. 2015). Global analyses of the water and energy cycles. Regional scale analyses of air-sea interaction.  Storm scale analyses of air-sea interaction.
CLIMATE APPLICATIONS: This CDR is used by an international community of scientists (https://www.ghrsst.org/ and others) to monitor the global ocean sea surface temperatures through the generation of level-4 climatology and daily optimally interpolated SST products, to give scientists valuable insights into ocean ecology by helping them to monitor coral reef stress, El Nino La Nina cycles that influence a wide range of weather conditions, to characterize local habitats, ocean current patterns and for college and high school training to study different oceanographic processes.

CLIMATE APPLICATIONS: This CDR is used by an international community of scientists (https://www.ghrsst.org/ and others) to monitor the global ocean sea surface temperatures through the generation of level-4 climatology and daily optimally interpolated SST products, to give scientists valuable insights into ocean ecology by helping them to monitor coral reef stress, El Nino La Nina cycles that influence a wide range of weather conditions, to characterize local habitats, ocean current patterns and for college and high school training to study different oceanographic processes.
CLIMATE APPLICATIONS: This CDR is used by an international community of scientists (https://www.ghrsst.org/ and others) to monitor the global ocean sea surface temperatures through the generation of level-4 climatology and daily optimally interpolated SST products, to give scientists valuable insights into ocean ecology by helping them to monitor coral reef stress, El Nino-La Nina cycles that influence a wide range of weather conditions, to characterize local habitats, ocean current patterns and for college and high school training to study different oceanographic processes.

CLIMATE APPLICATIONS: This CDR is used by an international community of scientists (https://www.ghrsst.org/ and others) to monitor the global ocean sea surface temperatures through the generation of level-4 climatology and daily optimally interpolated SST products, to give scientists valuable insights into ocean ecology by helping them to monitor coral reef stress, El Nino-La Nina cycles that influence a wide range of weather conditions, to characterize local habitats, ocean current patterns and for college and high school training to study different oceanographic processes.
GCOM-C/SGLI L3 Binned Atmospheric corrected reflectance(RT02) (1-Day,1/24 deg)

GCOM-C/SGLI L3 Binned Atmospheric corrected reflectance (RT02) (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 Surface reflectance of T2 (Center Wavelength is 10.8 micro m) and QA_Flag. The 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 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.
NOAA Climate Data Record (CDR) of AVHRR Daily and Monthly Aerosol Optical Thickness over Global Oceans, Version 2.0. CLIMATE APPLICATIONS: Aerosol climate forcing, climate model evaluation, long-term trend of air quality, etc.

NOAA Climate Data Record (CDR) of AVHRR Daily and Monthly Aerosol Optical Thickness over Global Oceans, Version 2.0. CLIMATE APPLICATIONS: Aerosol climate forcing, climate model evaluation, long-term trend of air quality, etc.. OFFICIAL CITATION: Xuepeng Zhao, Pui Chan, and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of AVHRR Daily and Monthly Aerosol Optical Thickness over Global Oceans, Version 2.0. NOAA National Centers for Environmental Information. doi:10.7289/V5SB43PD
NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. CLIMATE APPLICATIONS: PATMOS-x AVHRR supports: NCEI AVHRR Aerosol TCDR, Climate analysis, Climate model verification

NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. CLIMATE APPLICATIONS: PATMOS-x AVHRR supports: NCEI AVHRR Aerosol TCDR, Climate analysis, Climate model verification. OFFICIAL CITATION: Andrew K. Heidinger, Michael J. Foster, Andi Walther, Xuepeng Zhao, and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Cloud Properties from AVHRR Pathfinder Atmospheres - Extended (PATMOS-x), Version 5.3. [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V5348HCK [access date]
CLIMATE APPLICATIONS: Model initialisation and evaluation, global warming.  Reference: Allard et al. (in press) Utilizing CryoSat-2 Sea Ice Thickness to Initialize a Coupled Ice-Ocean Modeling System, Advances in Space Research

CLIMATE APPLICATIONS: Model initialisation and evaluation, global warming.  Reference: Allard et al. (in press) Utilizing CryoSat-2 Sea Ice Thickness to Initialize a Coupled Ice-Ocean Modeling System, Advances in Space Research
CLIMATE APPLICATIONS: Water cycle, energy cycle, carbon cycle, numerical Weather prediction, climatological extremes, trend analysis, hydrological and agricultural processes i.e. runoff generation, drought development, and irrigation.  Data usage overview manuscript is currently under review for Remote Sensing of Environment. title: "ESA CCI Soil Moisture for improved Earth System understanding: state-of-the art and future directions"

CLIMATE APPLICATIONS: Water cycle, energy cycle, carbon cycle, numerical Weather prediction, climatological extremes, trend analysis, hydrological and agricultural processes i.e. runoff generation, drought development, and irrigation.  Data usage overview manuscript is currently under review for Remote Sensing of Environment. title: "ESA CCI Soil Moisture for improved Earth System understanding: state-of-the art and future directions"
CLIMATE APPLICATIONS: Climate change monitoring (e.g. ERA-5, C3S, IGAC-TOAR); Chemistry-Climate Model assessment (e.g. GAC/SPARC-CCMI).

CLIMATE APPLICATIONS: Climate change monitoring (e.g. ERA-5, C3S, IGAC-TOAR); Chemistry-Climate Model assessment (e.g. GAC/SPARC-CCMI).
SARAL/AltiKa Geophysical Data Record (GDR) Version D. CLIMATE APPLICATIONS: This dataset is the most basic single mission uncalibrated product used as an input to build the new record #11153 from CNES. As described in product #11153 they ultimately serve to bulid record #10177 and record #10267 from CLS/ESA CCI/C3S.

SARAL/AltiKa Geophysical Data Record (GDR) Version D. CLIMATE APPLICATIONS: This dataset is the most basic single mission uncalibrated product used as an input to build the new record #11153 from CNES. As described in product #11153 they ultimately serve to bulid record #10177 and record #10267 from CLS/ESA CCI/C3S.