AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA-14 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG

The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The NOAA-14 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05Deg CMG, short-name N14_AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N14_AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time).

Tags: earth-science-atmospheric-radiation-atmosphere-reflectance-top-of-atmosphere-toa-reflectance, earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature, earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Binned Triple-window Sea Surface Temperature (SST3) - Near Real-time (NRT) Data, version R2024.0

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped 11µm Nighttime Sea Surface Temperature (NSST) Data, version R2024.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped 11µm Daytime Sea Surface Temperature (SST) Data, version R2024.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped 11µm Nighttime Sea Surface Temperature (NSST) - Near Real-time (NRT) Data, version R2024.0

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Binned Triple-window Sea Surface Temperature (SST3) Data, version R2024.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-21 VIIRS Level-1 Geolocation Product Data, version 1

The Visible and Infrared Imager/Radiometer Suite (VIIRS) Geolocation (GEO) Products are data containing terrain corrected solar zenith and azimuth angles, satellite zenith and azimuth angles, as well as latitudes and longitudes for each VIIRS grid point for each of the three VIIRS resolutions. (375m, 750m, and DNB).

Tags: earth-science-sensor-characteristics-spectral-engineering-geolocation
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped Normalized Difference Vegetation Index Data, version R2022.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-4 Global Mapped Carbon Data, version 2022.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-ocean-chemistry-oceans-organic-carbon
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped Triple-window Sea Surface Temperature (SST3) Data, version R2024.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-21 VIIRS Level-1 Level-1 Data, version 1

The Visible and Infrared Imager/Radiometer Suite (VIIRS) Geolocation (GEO) Products are data containing terrain corrected solar zenith and azimuth angles, satellite zenith and azimuth angles, as well as latitudes and longitudes for each VIIRS grid point for each of the three VIIRS resolutions. (375m, 750m, and DNB).

Tags: earth-science-ocean-optics-oceans-ocean-color
Organization: National Aeronautics and Space Administration
NOAA-21 VIIRS Level-3 Global Mapped Normalized Difference Vegetation Index - Near Real-time (NRT) Data, version R2022.0

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
NCA-LDAS Noah-3.3 Land Surface Model L4 Trends 0.125 x 0.125 degree V2.0 (NCALDAS_NOAH0125_Trends) at GES DISC

The National Climate Assessment - Land Data Assimilation System, or NCA-LDAS, is a terrestrial water reanalysis in support of the United States Global Change Research Program's NCA activities. NCA-LDAS features high resolution, gridded, daily time series data products of terrestrial water and energy balance stores, states, and fluxes over the continental U.S., derived from land surface hydrologic modeling with multivariate assimilation of satellite Environmental Data Records (EDRs). The overall goal is to provide the highest quality terrestrial hydrology products that enable improved scientific understanding, adaptation, and management of water and related energy resources during a changing climate. This dataset consists of a suite of historical trends in terrestrial hydrology over the conterminous United States estimated for the water years of 1980-2015 using the NCA-LDAS daily reanalysis. NCA-LDAS provides gridded daily outputs from the uncoupled Noah version 3.3 land surface model (LSM) at 1/8th degree resolution forced with NLDAS-2 meteorology (Xia et al., 2012), rescaled Climate Prediction Center precipitation, and assimilated satellite-based soil moisture, snow depth, and irrigation products (Jasinski et al., 2019; Kumar et al., 2019). Trends in annual hydrologic indicators are reported using the nonparametric Mann-Kendall test at p < 0.1 significance. An additional precipitation trend field (annual total), with no significance test applied, is included for comparison purposes. Collectively, these fields represent the bulk of the results presented in Jasinski et al. (2019).

Tags: earth-science-atmospheric-ocean-indicators-climate-indicators-precipitation-indicators-precipit, earth-science-atmospheric-ocean-indicators-climate-indicators-temperature-indicators-temperatur, earth-science-atmospheric-radiation-atmosphere-net-radiation, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evaporation, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evapotranspiration, earth-science-land-surface-agriculture-indicators-climate-indicators-soil-moisture, earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-solid-precipitation-snow, earth-science-snow-ice-terrestrial-hydrosphere-snow-cover, earth-science-snow-ice-terrestrial-hydrosphere-snow-water-equivalent, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-runoff
Organization: National Aeronautics and Space Administration
NCAR Particle Probes IMPACTS

The NCAR Particle Probes IMPACTS dataset consists of data collected from six instruments on the NASA P-3 aircraft, the SPEC Hawkeye Cloud Particle Imager (CPI), the Hawkeye Fast Cloud Droplet Probe (FastCDP), the Hawkeye Two-Dimensional Stereo Probe (Hawkeye2D-S), the SPEC Two-Dimensional Stereo probe (2D-S), and two SPEC High Volume Precipitation Spectrometers (HVPS3). The 2D-S and HVPS3 are two-dimensional optical array probes that record images of particles that travel through their sampling area. The recorded images are then analyzed to produce particle size distributions from 20 microns to 3 centimeters in diameter. The FastCDP is a forward scattering instrument designed to measure the size and concentration of cloud droplets between 2 and 50 microns in diameter. The CPI is a high-resolution imager with a 256-level color depth. No particle concentration estimates have been attempted with the CPI. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to advance prediction capabilities significantly. Data files are available in netCDF-4 format, as well as browse imagery available in PNG format, from January 18, 2020, through February 26, 2020, and January 14, 2022 through February 28, 2023.

Tags: earth-science-clouds-atmosphere-cloud-microphysics, earth-science-clouds-atmosphere-cloud-microphysics-cloud-droplet-concentration-size, earth-science-clouds-atmosphere-cloud-microphysics-cloud-liquid-water-ice, earth-science-clouds-atmosphere-cloud-microphysics-particle-size-distribution
Organization: National Aeronautics and Space Administration
NCEP/NCAR Arctic Marine Rawinsonde Archive, Version 1

NCEP/NCAR Arctic Marine Rawinsonde Archive contains 17,659 marine rawinsonde reports for the region north of 65 degrees North. Its record extends from 1976 to 1996. These soundings have been extracted from the National Center for Atmospheric Research (NCAR) rawinsonde archive of the National Meteorological Center (NMC) (now the National Center for Environmental Prediction, or NCEP). The NCEP/NCAR Arctic Marine Rawinsonde Archive data set complements the Historical Arctic Rawinsonde Archive (HARA) for land stations and the Russian 'North Pole' drifting station archive.

Tags: earth-science-altitude-atmosphere-geopotential-height, earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-dew-point-temperature, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-atmospheric-winds-atmosphere-upper-level-winds
Organization: National Aeronautics and Space Administration
NCEP/DOE Reanalysis II, for GSSTF, 0.25x0.25 deg, Monthly grid V3 (GSSTFM_NCEP) at GES DISC

These data are the Goddard Satellite-based Surface Turbulent Fluxes Version 3 Dataset recently produced through a MEaSURES funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is a Monthly product; data are projected to equidistant Grid that covers the globe at 0.25x0.25 degree cell size, resulting in data arrays of 1440x720 size. The input data sets used for this recent GSSTF production include the upgraded and improved datasets such as the Special Sensor Microwave Imager (SSM/I) Version-6 (V6) product of brightness temperature [Tb], total precipitable water [W], and wind speed [U] produced by the Wentz of Remote Sensing Systems (RSS), as well as the NCEP/DOE Reanalysis-2 (R2) product of sea skin temperature [SKT], 2-meter air temperature [Tair], and sea level pressure [SLP]. The short name for this product is GSSTFM_NCEP.

Tags: earth-science-atmospheric-pressure-atmosphere-sea-level-pressure, earth-science-atmospheric-radiation-atmosphere-atmospheric-heating, earth-science-atmospheric-radiation-atmosphere-heat-flux, earth-science-atmospheric-radiation-atmosphere-radiative-flux, earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-skin-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-total-precipitable-wate, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evaporation, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-atmospheric-winds-atmosphere-wind-dynamics-turbulence, earth-science-atmospheric-winds-atmosphere-wind-dynamics-wind-stress, earth-science-ocean-heat-budget-oceans-conduction, earth-science-ocean-heat-budget-oceans-evaporation, earth-science-ocean-heat-budget-oceans-heat-flux, earth-science-ocean-pressure-oceans-sea-level-pressure, earth-science-ocean-temperature-oceans-sea-surface-temperature, earth-science-ocean-winds-oceans-surface-winds, earth-science-ocean-winds-oceans-turbulence, earth-science-ocean-winds-oceans-wind-stress
Organization: National Aeronautics and Space Administration
Near Real-Time MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Grain Size, and Dust Radiative Forcing, Version 1

This data set represents an updated version of the MODIS Snow Covered Area and Grain-size (MODSCAG) and MODIS Dust Radiative Forcing in Snow (MODDRF) data sets previously produced by the NASA Jet Propulsion Laboratory (JPL). Data are derived from NASA LANCE near real-time MODIS/Terra surface reflectance data (<a href="https://lance.modaps.eosdis.nasa.gov/modis/">MOD09GA_NRT</a>) but are not themselves near real-time, nor part of NASA LANCE. This data set contains the following parameters: snow fraction, snow grain size (from the SCAG algorithm), vegetation fraction, rock fraction, ice fraction, shade fraction, deltavis, radiative forcing, and optical snow grain size (from the DRFS algorithm). Data are available from 1 November 2023 to the present for 16 regions in North America, and from 01 April 2025 to present over the South Island of New Zealand and the Andes mountains in Chile. Additional tiles will be added over time until global coverage is reached. These data are provided in netCDF format.

Tags: earth-science-land-use-land-cover-land-surface-rock-fraction, earth-science-land-use-land-cover-land-surface-shade-fraction, earth-science-snow-ice-cryosphere-land-ice-fraction, earth-science-snow-ice-cryosphere-snow-fraction, earth-science-snow-ice-cryosphere-snow-grain-size, earth-science-snow-ice-cryosphere-snow-radiative-forcing, earth-science-snow-ice-cryosphere-visible-snow-darkening, earth-science-vegetation-biosphere-vegetation-fraction
Organization: National Aeronautics and Space Administration
Near Real-Time MODIS/Terra L3 Global Daily 500m SIN Grid Snow Cover, Snow Albedo, and Snow Surface Properties, Version 1

This data set contains the following parameters: snow fraction (on the ground), viewable snow fraction, snow cover duration, snow grain size, dust concentration, snow albedo (on horizontal surface), snow albedo (on sloped surface), and radiative forcing. All variables are spatially and temporally complete after interpolation. Days without observation is also included so that users can determine how many days since a satellite observation occurred. The data set is derived from a version of the spectral mixture analysis (SMA) approach called the Snow Property Inversion from Remote Sensing (SPIReS, <a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0040">Bair et al, 2021</a>). This dataset uses surface reflectance inputs from <a href="https://lpdaac.usgs.gov/products/mod09gav061/">MOD09GA v6.1</a> and includes additional outputs not included in the original version of SPIReS: snow albedo and snow radiative forcing. The SPIReS SMA model considers three spectral endmembers: snow, shade, and a snow-free background reflectance, which is identified for each MODIS pixel as the average MOD09GA reflectance measured typically between 1 August and 30 September for a given year in the northern hemisphere. dust concentration is solved for simultaneously with fractional snow cover and snow grain size during the spectral unmixing process. SPIReS snow albedo are derived using a lookup table that incorporates snow grain size, dust concentration, and surface illumination (<a href="https://www.sciencedirect.com/science/article/pii/S0034425725001464?via%3Dihub#bb0025">Bair et al., 2019</a>). After the fSCA, grain size, and dust concentration are determined, these properties are filled, smoothed, and adjusted for canopy gap size, shade, and permanent ice. SPIReS radiative forcing are derived using a lookup table that incorporates LAP concentration and clear sky incoming solar irradiance. Data are available from 01 October 2024 to present. These data are provided in the netCDF-4 format with a Sinusoidal projection and are currently available for the western United States (MODIS tiles h08v04, h08v05, h09v04, h09v05, h10v04). Additional tiles will be added over time. For data prior to 01 October 2024, please see the historical dataset (<a href="https://doi.org/10.7265/a3vr-c014">Rittger et al., 2025</a>) created by Snow Today at NSIDC. Data can be accessed via ftp://dtn.rc.colorado.edu/shares/snow-today/spires/SPIRES_NRT_V01 Note: Authors Rittger, K. and Lenard, S. contributed equally to this work

Tags: earth-science-glaciers-ice-sheets-cryosphere-firn-snow-grain-size, earth-science-snow-ice-cryosphere-dust-concentration, earth-science-snow-ice-cryosphere-snow-duration, earth-science-snow-ice-cryosphere-snow-fraction, earth-science-snow-ice-cryosphere-snow-radiative-forcing, earth-science-snow-ice-cryosphere-visible-snow-darkening, earth-science-snow-ice-terrestrial-hydrosphere-albedo
Organization: National Aeronautics and Space Administration