AndreaBozzo/ceres-open-data-index huggingface dataset:
Satellite Laser Ranging (SLR) ILRS Orbit Prediction Product (multi-day, daily, and sub-daily files) from NASA CDDIS

This derived product set consists of Satellite Laser Ranging Predicted Orbit Product (daily files in Consolidated Prediction Format, or CPF) from the NASA Crustal Dynamics Data Information System (CDDIS). SLR provides unambiguous range measurements to mm precision that can be aggregated over the global network to provide very accurate satellite orbits, time histories of station position and motion, and many other geophysical parameters. SLR operates in the optical region and is the only space geodetic technique that measures unambiguous range directly. Analysis of SLR data contributes to the terrestrial reference frame, modeling of the spatial and temporal variations of the Earth's gravitational field, and monitoring of millimeter-level variations in the location of the center of mass of the total Earth system (solid Earth-atmosphere-oceans). In addition, SLR provides precise orbit determination for spaceborne radar altimeter missions. It provides a means for sub-nanosecond global time transfer, and a basis for special tests of the Theory of General Relativity.

Tags: earth-science-geodetics-solid-earth-coordinate-reference-system-country-regional-coordinate-ref, earth-science-geodetics-solid-earth-coordinate-reference-system-global-coordinate-reference-sys, earth-science-geodetics-solid-earth-ellipsoid-characteristics, earth-science-geodetics-solid-earth-geoid-characteristics, earth-science-gravity-gravitational-field-solid-earth-control-surveys, earth-science-gravity-gravitational-field-solid-earth-gravity, earth-science-gravity-gravitational-field-solid-earth-polar-motion-annual-elliptical-component, earth-science-gravity-gravitational-field-solid-earth-polar-motion-chandler-circular-component, earth-science-gravity-gravitational-field-solid-earth-rotational-motion-variations-rotational-r, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-angle-of-elev, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-angle-of-incl, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-orbit-type, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-orbit-velocit, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-orbital-posit, earth-science-tectonics-solid-earth-earthquakes-earthquake-magnitude-intensity, earth-science-tectonics-solid-earth-plate-tectonics-crustal-motion-crustal-motion-direction, earth-science-tectonics-solid-earth-plate-tectonics-crustal-motion-crustal-motion-rate, earth-science-tectonics-solid-earth-plate-tectonics-fault-movement-fault-movement-direction, earth-science-tectonics-solid-earth-plate-tectonics-fault-movement-fault-movement-rate, earth-science-tectonics-solid-earth-plate-tectonics-plate-boundaries, earth-science-tectonics-solid-earth-plate-tectonics-strain
Organization: National Aeronautics and Space Administration
Satellite Laser Ranging products International Terrestrial Reference Frame (ITRF2020) Station Positions and Earth Orientation Parameters (EOP) Time Series (REPRO2020) from NASA CDDIS

“The ILRS contribution to ITRF2020 consists of a pair of time series of weekly and bi-weekly station position estimates along with daily and 3-day averaged Earth Orientation Parameters (X-pole, Y-pole and excess Length-Of-Day (LOD)) estimated over 7-day arcs (1993.0 – 2021.0) and 15-day arcs for the period 1983.0-1993.0, aligned to the calendar weeks (Sunday to Saturday), starting from January 1983. Each solution is obtained through the combination of loosely constrained weekly/biweekly solutions submitted by each of the seven official ILRS Analysis Centers. Both, the individual and combined solutions have followed strict standards agreed upon within the ILRS Analysis Standing Committee (ASC) to provide ITRS products of the highest possible quality.” (The ILRS contribution to ITRF2020, E. C. Pavlis (GESTAR II/UMBC & NASA Goddard 61A) and V. Luceri (e-GEOS S.p.A., ASI/CGS))

Tags: earth-science-geodetics-solid-earth-coordinate-reference-system-global-coordinate-reference-sys, earth-science-geodetics-solid-earth-geoid-characteristics, earth-science-geodetics-solid-earth-techniques-slr-satellite-laser-ranging
Organization: National Aeronautics and Space Administration
Satellite Laser Ranging (SLR) International Laser Ranging Service (ILRS) Data Handling Files

In the ILRS network, there are mobile systems and permanent systems. Mobile ILRS systems usually occupy (i.e. are referenced to) a ground monument/mark and have an associated set of non-zero eccentricities. System eccentricities are defined as the offsets (usually less than 15 meters) from the ground monument/mark to the optical reference point of the system (i.e. intersection of axes) and are measured in North, East, and Up or in Cartesian coordinates, X, Y, and Z. Mobile systems are assigned a CDP number for the monument that it is occupying. In turn, the IERS assigns a DOMES number for the monument containing a 'M'. The 'M' indicates the presence of a physical Monument. A given monument may be occupied by more than one system or may be occupied by the same system multiple times, but never during the same time period. Therefore, for a given monument and time period, there will be a unique set of eccentricities. Permanent systems were designed to stay in one place and usually do not occupy a ground monument/mark. In this case, the CDP number is assigned to the optical axes of intersection. In turn, the IERS assigns a DOMES number containing a 'S'. The 'S' indicates the reference to the System's optical axes. In this case, the system eccentricities are by definition ZERO. In the rare occasion that a permanent system or its intersection of axes is relocated, then a new CDP and IERS DOMES number will be assigned for each relocation.

Tags: earth-science-geodetics-solid-earth-coordinate-reference-system-global-coordinate-reference-sys, earth-science-geodetics-solid-earth-geoid-characteristics, earth-science-geodetics-solid-earth-techniques-slr-satellite-laser-ranging
Organization: National Aeronautics and Space Administration
TEMPO formaldehyde total column V03 (PROVISIONAL)

Formaldehyde Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on vertical columns, ancillary data used in air mass factor calculations and reference sector corrections, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) reference sector corrections. These data reached provisional validation on December 9, 2024.

Tags: earth-science-air-quality-atmosphere-volatile-organic-compounds, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-formaldehyde
Organization: National Aeronautics and Space Administration
TEMPO cloud pressure and fraction (O2-O2 dimer) V03 (PROVISIONAL)

O2-O2 cloud Level 2 files provide cloud information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on effective cloud fraction (ECF), cloud optical centroid pressure (OCP), ancillary data, processing quality flags, etc. The ECF is derived from reflectance at 466 nm. The OCP is derived from O2-O2 slant column density. The cloud retrieval uses Look Up Tables (LUTs) of reflectance and air mass factors, GEOS-CF forecast meteorology, and GLER surface albedo. These data reached provisional validation on December 9, 2024.

Tags: earth-science-clouds-atmosphere-cloud-properties-cloud-fraction, earth-science-clouds-atmosphere-cloud-properties-cloud-top-pressure
Organization: National Aeronautics and Space Administration
RSS SSM/I OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F14 NETCDF V7

The RSS SSM/I Ocean Product Grids 3-Day Average from DMSP F14 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F14 for a 3-day average.

Tags: earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-clouds-atmosphere-cloud-microphysics-cloud-liquid-water-ice, earth-science-ocean-winds-oceans-surface-winds, earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-precipitation-rate
Organization: National Aeronautics and Space Administration
TEMPO solar irradiance V03 (PROVISIONAL)

Level 1 irradiance files provide solar irradiance measured using the working solar diffuser. Each file includes the measured solar irradiance for all the North-South cross-track pixels. The files are provided in netCDF4 format, and contain information on radiometrically and wavelength calibrated solar irradiance for the UV and visible bands, corresponding noise, parameterized wavelength grid, solar viewing geometry, quality flags and other ancillary information. The product is produced using the L0-1b processor which includes multiple steps: (1) Image processing to produce radiometrically calibrated radiance, and (2) Additional wavelength calibration to improve wavelength registration. These data reached provisional validation on December 9, 2024.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-irradiance
Organization: National Aeronautics and Space Administration
Satellite-Derived Forest Extent Likelihood Map for Mexico

This dataset provides a comparison of forest extent agreement from seven remote sensing-based products across Mexico. These satellite-derived products include European Space Agency 2020 Land Cover Map for Mexico (ESA), Globeland30 2020 (Globeland30), Commission for Environmental Cooperation 2015 Land Cover Map (CEC), Impact Observatory 2020 Land Cover Map (IO), NAIP Trained Mean Percent Cover Map (NEX-TC), Global Land Analysis and Discovery Global 2010 Tree Cover (Hansen-TC), and Global Forest Cover Change Tree Cover 30 m Global (GFCC-TC). All products included data at 10-30 m resolution and represented the state of forest or tree cover from 2010 to 2020. These seven products were chosen based on: a) feedback from end-users in Mexico; b) availability and FAIR (findable, accessible, interoperable, and replicable) data principles; and c) products representing different methodological approaches from global to regional scales. The combined agreement map documents forest cover for each satellite-derived product at 30-m resolution across Mexico. The data are in cloud optimized GeoTIFF format and cover the period 2010-2020. A shapefile is included that outlines Mexico mainland areas.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-canopy-characteristics
Organization: National Aeronautics and Space Administration
TEMPO NO2 tropospheric and stratospheric columns V03 (PROVISIONAL)

Nitrogen dioxide Level 2 files provide trace gas information at TEMPO’s native spatial resolution, ~10 km^2 at the center of the Field of Regard (FOR), for individual granules. Each granule covers the entire North-South TEMPO FOR but only a portion of the East-West FOR. The files are provided in netCDF4 format, and contain information on tropospheric, stratospheric and total nitrogen dioxide vertical columns, ancillary data used in air mass factor and stratospheric/tropospheric separation calculations, and retrieval quality flags. The retrieval uses a three-step approach: (1) spectral fitting of slant columns, (2) air mass factor calculation and derivation of vertical columns, and (3) stratospheric/tropospheric separation. These data reached provisional validation on December 9, 2024.

Tags: earth-science-air-quality-atmosphere-nitrogen-oxides, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-dioxide
Organization: National Aeronautics and Space Administration
SBU Pluvio Precipitation Gauge IMPACTS

The SBU Pluvio Precipitation Gauge IMPACTS dataset consists of precipitation intensity and precipitation accumulation collected using the OTT Pluvio2 weighing rain gauge during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) campaign. NASA’s Earth Venture program funded IMPACTS is the first comprehensive study of East Coast snowstorms in 30 years. The campaign 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 significantly advance prediction capabilities. Data files in this dataset are available in ASCII-CSV format from January 7, 2020, through March 2, 2023.

Tags: earth-science-precipitation-atmosphere-accumulative-convective-precipitation, earth-science-precipitation-atmosphere-liquid-precipitation-liquid-surface-precipitation-rate, earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-precipitation-amount, earth-science-precipitation-atmosphere-precipitation-rate
Organization: National Aeronautics and Space Administration
RSS CCMP 6-Hourly 10 Meter Surface Winds Level 4 Version 3.1

This data set contains a 6-hourly, 0.25 degree resolution, near-global gridded analysis of ocean surface vector winds from the Cross-Calibrated Multi-Platform (CCMP) project, produced by Remote Sensing Systems (RSS). CCMP is a combination of inter-calibrated 10 m ocean surface wind retrievals from multiple types of satellite microwave sensors and a background field from reanalysis. The wind retrievals are derived by RSS and include most of the wind-sensing U.S., Japanese, and European satellites flown to date. The background field is from ERA5 10m Neutral Stability winds. The result is a product that remains closely tied to the satellite retrievals where they are available and closely collocated in time and space. Data files are available in netCDF format, with one file per day. This time record is ongoing, with an expected latency of 2-3 months for new files. <br><br> Version 3.1 updates include but are not limited to: (1) Improved performance and agreement with satellite winds at high wind speed, (2) Minimized spurious trends caused by the interaction between the amount of satellite measurements available and the satellite/model biases, and (3) improving the quality of the wind after 2012. <br><br> Version 3.1 is produced and maintained by RSS with support from a NASA grant (ROSES proposal 17-OVWST-17-0023). Previous versions were funded by the NASA Making Earth Science data records for Use in Research Environments (MEaSUREs) program, with the original V1.0 led by Dr. Robert Atlas at Goddard Space Flight Center.

Tags: earth-science-ocean-winds-oceans-surface-winds, earth-science-ocean-winds-oceans-surface-winds-ocean-surface-wind-vectors
Organization: National Aeronautics and Space Administration
RSS SSM/I OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F13 NETCDF V7

The RSS SSM/I Ocean Product Grids 3-Day Average from DMSP F13 netCDF dataset is part of the collection of Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data products produced as part of NASA's MEaSUREs Program. Remote Sensing Systems generates SSM/I and SSMIS binary data products using a unified, physically based algorithm to simultaneously retrieve ocean wind speed, water vapor, cloud water, and rain rate. The SSMIS data have been carefully intercalibrated to the brightness temperature level of the previous SSM/I and therefore extend this important time series of ocean winds, vapor, cloud and rain values. This algorithm is a product of 20 years of refinements, improvements, and verifications. The Global Hydrology Resource Center has reformatted the binary data into a netCDF data product for each temporal group for each satellite. The netCDF SSMI/SSMIS collection will be available for F13 for 3-day averages.

Tags: earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-clouds-atmosphere-cloud-microphysics-cloud-liquid-water-ice, earth-science-ocean-winds-oceans-surface-winds, earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-precipitation-rate
Organization: National Aeronautics and Space Administration
Pre-LBA TRACE-A Data

This data set contains atmospheric chemistry and meteorological data from the NASA Transport and Atmospheric Chemistry near the Equator-Atlantic (TRACE-A) field study. The NASA TRACE-A study took place in August 1992 to determine the cause and source of high concentrations of ozone that accumulate over the Atlantic ocean between southern Africa and South America during the months of August through October. The processed, quality controlled and integrated data in the documented Pre-LBA Data sets were originally published as a set of three CD-ROMs (Marengo and Victoria, 1998) but have now been archived individually.

Tags: earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-air-quality-atmosphere-tropospheric-ozone, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-chemistry-atmosphere-trace-gases-trace-species
Organization: National Aeronautics and Space Administration
Sounder SIPS: Suomi NPP CrIMSS Level 2 CLIMCAPS Full Spectral Resolution: Cloud Cleared Radiances V2 (SNDRSNIML2CCPCCR) at GES DISC

The CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) algorithm is used to analyze data from the Cross-track Infrared Sounder/Advanced Technology Microwave Sounder (CrIS/ATMS) instruments, also known as CrIMSS (Cross-track Infrared and Microwave Sounding Suite). The CrIS/ATMS instruments used for this product are on board the Suomi National Polar-orbiting Partnership (SNPP) platform and use the Full Spectral Resolution (FSR) data. The CrIS instrument is a Fourier transform spectrometer with a total of 2211 NSR infrared sounding channels covering the longwave (645-1095 cm-1), midwave (1210-1750 cm-1), and shortwave (2000-2550 cm-1) spectral regions. The ATMS instrument is a cross-track scanner with 22 channels in spectral bands from 23 GHz through 183 GHz. Cloud clearing is the process of computing the clear column radiance for a given channel n, and represents what the channel would have observed if the entire scene were cloud free. The entire scene is defined as the ATMS field of regard (FOR) which includes and array of 3x3 CrIS field of views (FOV). The basic assumption of cloud-clearing is that if the observed radiances in each field-of-view are different, the differences in the observed radiances are solely attributed to the differences in the fractional cloudiness in each field of view while everything else (surface properties and atmospheric state) is uniform across the field of regard. A level 2 granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. There are 240 granules per day, with an orbit repeat cycle of approximately 16 day. The CLIMCAPS algorithm uses data from the second Modern-Era Retrospective analysis for Research and Applications (MERRA-2) as a first-guess for the atmospheric state. Because MERRA-2 products typically have a latency from 3 to 7 weeks, so too do the CLIMCAPS products.

Tags: earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature, earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-microwave-spectral-engineering-microwave-radiance
Organization: National Aeronautics and Space Administration
RSS MONTHLY 1-DEG MERGED WIND CLIMATOLOGY NETCDF V7R01

The Remote Sensing Systems (RSS) Monthly 1-degree Merged Wind Climatology netCDF dataset V7R01 provides global gridded wind speed data over ocean areas. This dataset contains a 12-month climatology using January 1, 1988 to March 31, 2016 data, monthly anomaly maps, a trend map with associated global and tropical wind speed time series, and a time-latitude plot. The wind climatology dataset is a merged ocean product constructed using the version-7 (V7) passive microwave geophysical ocean products made publicly available by Remote Sensing Systems (www.remss.com). Ocean wind measurements used to create this dataset were acquired from the following satellite microwave radiometers: SSM/I F08 through F15, SSMIS F16 and F17, AMSR-E, AMSR-2, and WindSat. The radiometers used to construct this dataset were inter-calibrated at the brightness temperature level, while the V7 ocean products were produced using a consistent processing methodology across sensors.

Tags: earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-atmospheric-winds-atmosphere-upper-level-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-upper-level-winds-wind-speed, earth-science-ocean-winds-oceans-surface-winds
Organization: National Aeronautics and Space Administration
SMEX04 Two-Dimensional Synthetic Aperture Radiometer (2D-STAR) Brightness Temperatures, Arizona, Version 1

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set includes dual-polarized L-band brightness temperature and soil moisture data measured by the Two-Dimensional Synthetic Aperture Radiometer (2D-STAR) instrument.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
SMEX04 Surface Roughness Data, Sonora, Version 1

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. The data set SMEX04 Surface Roughness Data is comprised of data collected over the regional study areas of Arizona, USA and Sonora, Mexico as part of the 2004 Soil Moisture Experiment (SMEX04).

Tags: earth-science-topography-land-surface-surface-roughness
Organization: National Aeronautics and Space Administration