AndreaBozzo/ceres-open-data-index huggingface dataset:
GPS Radio Occultation Boundary Layer Depth Annual L3 V1 (GPSROZPBLA) at GES DISC

This dataset has been superseded by version 2. It provides an annual average of a global planetary boundary layer (PBL) height climatology derived from the COSMIC/FORMOSAT-3 and TerraSAR-X Global Positioning System (GPS) radio occultation (RO) measurements from June 2006 to December 2015. The COSMIC/FORMOSAT-3 mission consists of a six-satellite constellation launched in 2006. Each satellite carries the IGOR GPS receiver and is equipped with fore and aft looking antenna to track both setting and rising occultations. The constellation provides globally distributed measurements across different local times. The TerraSAR-X (TSX) is a X-band SAR imaging satellite with GPS RO being a secondary measurement. It also carries an IGOR receiver and has been collecting GPS RO measurements since 2011. The instrument tracks the L-band microwave signal broadcast by a GPS satellite in a limb-viewing geometry. The IGOR receivers on COSMIC and TSX are capable of tracking the GPS signals in open loop through the middle to lower troposphere, which is essential for obtaining data with high quality for PBL height estimation, especially at low latitudes. The refractivity profiles from COSMIC and TSX form the basis for this PBL height product. For each occultation, the PBL height is calculated as the height where the vertical gradient of the refractivity (dN/dz) is minimum. This algorithm is designed to locate the height where a large vertical change in refractivity occurs, corresponding to the transition from the free troposphere to the PBL. More details can be found in Ao et al. (2012). Each PBL height is associated with a time (starting time of the occultation) and location (latitude and longitude of the tangent point at the minimum altitude). The PBL height data are then binned into 2 degree x 2 degree latitude/longitude regions and averaged to produce the mean and standard deviation values in the climatology products. The refractivity profile has a vertical resolution of about 200 m and represents an along path horizontal averaging of ~100 km. Thus, occultations with tangent points near the coast may represent averaging over both land and ocean and should be interpreted with care. The refractivity gradient method used here is not the only method that can be used to estimate the PBL height. Other algorithms have been proposed, including looking at "breakpoint" instead of minimum gradient, wavelet covariance transform, and using variables like bending angles or specific humidity instead of refractivity. However, the basic principle is the same. The difference between the different algorithms is small where the PBL is well-defined, with a strong capping inversion.

Tags: earth-science-altitude-atmosphere-planetary-boundary-layer-height
Organization: National Aeronautics and Space Administration
GRACE-FO Level-1B Release version 4.0 from JPL in ASCII

FOR EXPERT USE ONLY. The GRACE-FO Level-1B data provide all necessary inputs to derive monthly time variations in the Earth gravity field. Level-1B data are also used for GRACE orbit and mean gravity field determination. For a detailed description, please see the GRACE-FO Level-1 documentation (https://podaac.jpl.nasa.gov/gravity/gracefo-documentation).

Tags: earth-science-gravity-gravitational-field-solid-earth-gravity
Organization: National Aeronautics and Space Administration
GRACE OCEAN BOTTOM GEOPOTENTIAL COEFFICIENTS JPL RELEASE 6.0 GAD

FOR EXPERT USE ONLY. This dataset contains estimates of ocean bottom pressure derived from the Gravity Recovery and Climate Experiment (GRACE) mission measurements, produced by the NASA Jet Propulsion Laboratory (JPL). The data are in spherical harmonics averaged over approximately a month. The primary objective of the GRACE mission is to obtain accurate estimates of the mean and time-variable components of the gravity field variations. This objective is achieved by making continuous measurements of the change in distance between twin spacecraft, co-orbiting in about 500 km altitude, near circular, polar orbit, spaced approximately 200 km apart, using a microwave ranging system. In addition to these range change, the non-gravitional forces are measured on each satellite using a high accuracy electrostatic, room-temperature accelerometer. The satellite orientation and position (and timing) are precisely measured using twin star cameras and a GPS receiver, respectively. Spatial and temporal variations in the gravity field affect the orbits (or trajectories) of the twin spacecraft differently. These differences are manifested as changes in the distance between the spacecraft, as they orbit the Earth. This change in distance is reflected in the time-of-flight of microwave signals transmitted and received nearly simultaneously between the two spacecraft. The change in this time of fight is continuously measured by tracking the phase of the microwave carrier signals. The so called dual-one-way range change measurements can be reconstructed from these phase measurements. This range change (or its numerically derived derivatives), along with other mission and ancillary data, is subsequently analyzed to extract the parameters of an Earth gravity field model.

Tags: earth-science-gravity-gravitational-field-solid-earth-gravity-anomalies, earth-science-ocean-pressure-oceans-ocean-bottom-pressure
Organization: National Aeronautics and Space Administration
GPM GROUND VALIDATION SPECIAL SENSOR MICROWAVE IMAGER/SOUNDER (SSMI/S) LPVEX V1

The GPM Ground Validation Special Sensor Microwave Imager/Sounder (SSMI/S) LPVEx dataset contains brightness temperature data processed from the NOAA CLASS QC temperature data records for the Light Precipitation Validation Experiment (LVPEX), part of the Global Precipitation Measurement project. The mission was to detect and characterize light rain and evaluate their estimates of rainfall intensity in high latitude, shallow freezing level environments.Only data with swaths within the area of interest are included. The temporal range of the data includes the LPVEx campaign period (September 1, 2010) and extends through the end of March 31, 2011.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
Global Seasonal-Snow Classification, Version 1

This data set consists of global, seasonal snow classifications—e.g., tundra, boreal forest, maritime, ephemeral, prairie, montane forest, and ice—determined from air temperature, precipitation, and wind speed climatologies. Data are available on global, North America, and Eurasia latitude-longitude grids at four resolutions: 10 arcsec (~300 m), 30 arcsec (~1 km), 2.5 arcmin (~5 km), and 0.5° (~50 km).

Tags: earth-science-snow-ice-cryosphere-snow-classification
Organization: National Aeronautics and Space Administration
Global Sentinel-1 Burst ID Map

Sentinel-1 performs systematic acquisition of bursts in both IW and EW modes. The bursts overlap almost perfectly between different passes and are always located at the same place. With the deployment of the SAR processor S1-IPF 3.4, a new element has been added to the products annotations: the Burst ID, which should help the end user to identify a burst area of interest and facilitate searches. The Burst ID map is a complementary auxiliary product. The maps have a validity that covers the entire time span of the mission and they are global, i.e., they include as well information where no SAR data is acquired. Each granule contains information about burst and sub-swath IDs, relative orbit and burst polygon, and should allow for an easier link between a certain burst ID in a product and its corresponding geographic location.

Tags: earth-science-geomorphic-landforms-processes-land-surface, earth-science-geomorphic-landforms-processes-solid-earth, earth-science-glaciers-ice-sheets-cryosphere, earth-science-radar-spectral-engineering, earth-science-sea-ice-oceans
Organization: National Aeronautics and Space Administration
Global Space-based Stratospheric Aerosol Climatology Version 2.1

The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 42-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and later from mid-2017 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis.

Tags: earth-science-aerosols-atmosphere, earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-aerosols-atmosphere-aerosol-extinction, earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness, earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-aerosols-atmosphere-dust-ash-smoke, earth-science-aerosols-atmosphere-particulate-matter, earth-science-aerosols-atmosphere-sulfate-particles
Organization: National Aeronautics and Space Administration
Global Space-based Stratospheric Aerosol Climatology Version 2.21

The Global Space-based Stratospheric Aerosol Climatology, or GloSSAC, is a 44-year climatology of stratospheric aerosol properties focused on extinction coefficient measurements by the Stratospheric Aerosol and Gas Experiment (SAGE) series of instruments through mid-2005 and later from mid-2017 and on the Optical Spectrograph and InfraRed Imager System (OSIRIS) and the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data thereafter. Data from other space instruments and from ground-based, air and balloon borne instruments to fill in key gaps in the data set. The end result is a global and gap-free data set focused on aerosol extinction coefficient at 525 and 1020 nm and other parameters on an ‘as available’ basis.

Tags: earth-science-aerosols-atmosphere, earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-aerosols-atmosphere-aerosol-extinction, earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness, earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-aerosols-atmosphere-dust-ash-smoke, earth-science-aerosols-atmosphere-particulate-matter, earth-science-aerosols-atmosphere-sulfate-particles
Organization: National Aeronautics and Space Administration
Global Soil Profile Data (ISRIC-WISE)

The International Soil Reference and Information Centre-World Inventory of Soil Emission Potentials (ISRIC-WISE) international soil profile data set consists of a homogenized, global set of 1,125 soil profiles for use by global modelers. These profiles provided the basis for the Global Pedon Database (GPDB) of the International Geosphere-Biosphere Programme (IGBP) - Data and Information System (DIS). The data set consists of a selection of 665 profiles originating from the Natural Resources Conservation Service (NRCS, Lincoln), 250 profiles obtained from the Food and Agriculture Organization (FAO, Rome), and 210 profiles from the reference collection of the International Soil Reference and Information Centre (ISRIC, Wageningen). All profiles are georeferenced and classified according to the 1974 Legend of the FAO-UNESCO Soil Map (FAC-UNESCO, 1974) of the World, as well as the 1988 Revised Legend of FAO-UNESCO (FAO, 1990). The data set includes information on soil classification, site data, soil horizon data, source of data, and methods used for determining analytical data. The data files are in a comma-delimited format. Data Citation: The data set should be cited as follows: Batjes, N. H. (ed). 2000. Global Soil Profile Data (ISRIC-WISE). Available on-line from the ORNL Distributed Active Archive Center, Oak Ridge National Laboratory, Oak Ridge, Tennessee, U.S.A.

Tags: earth-science-geomorphic-landforms-processes-land-surface, earth-science-ground-water-terrestrial-hydrosphere-ground-water-features-water-table, earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification, earth-science-soils-agriculture-soil-classification, earth-science-soils-land-surface-soil-bulk-density, earth-science-soils-land-surface-soil-chemistry, earth-science-soils-land-surface-soil-classification, earth-science-soils-land-surface-soil-color, earth-science-soils-land-surface-soil-depth, earth-science-soils-land-surface-soil-horizons-profile, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-soils-land-surface-soil-ph, earth-science-soils-land-surface-soil-structure, earth-science-soils-land-surface-soil-texture, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-draina, earth-science-topography-land-surface-terrain-elevation, earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
Global Surface Emissivity Spectral Atlas (GSESA) V01

The Global Surface Emissivity Spectral Atlas (GSESA) database contains global, monthly climatology infrared emissivity functional Empirical Orthogonal Function (EOF) scores in 0.25 x 0.25 latitude-longitude resolution. An eigenvector file and a reader file allow customers to produce emissivity spectra. The emissivity functional EOF scores were developed using the Infrared Atmospheric Sounding Interferometer (IASI) instrument on the METOP-A, METOP-B, and METOP-C satellites for the period 2007-07-01 to 2025-01-31. An inversion scheme, dealing with cloudy as well as cloud-free radiances observed with ultraspectral infrared (IR) sounders, was developed to simultaneously retrieve atmospheric thermodynamic and surface or cloud microphysical parameters. This inversion scheme was applied to the IASI instrument. Rapidly produced surface spectral emissivity (SSE) is initially evaluated through quality control checks on the retrievals of other impacted surface and atmospheric parameters. The GSESA data are provided in binary format, with sample reader files that can be used in a Fortan IDE to read a functional emissivity EOF compressed file (e.g., MFEMI_MONTH01_A_V5P.bin) and its EOF eigenvector file (IASI_B_EV_FUNC_GLOBAL_V4.bin) to produce spectral emissivity at a certain location (latitude and longitude). A sample reader file can be used in a Matlab IDE is also provided. These data were created with funding from the NASA Internal Scientist Funding Model for the National Airborne Sounder Testbed-Interferometer (NAST-I).

Tags: earth-science-surface-radiative-properties-land-surface-emissivity
Organization: National Aeronautics and Space Administration
Global Soil Texture and Derived Water-Holding Capacities (Webb et al.)

A standardized global data set of soil horizon thicknesses and textures (particle size distributions) was compiled by Webb et al. This data set will be used for the improved ground hydrology parameterization design for the Goddard Institute for Space Studies General Circulation Model (GISS GCM) Model III. The data set specifies the top and bottom depths and the percent abundance of sand, silt, and clay of individual soil horizons in each of the 106 soil types cataloged for nine continental divisions. When combined with the World Soil Data File (Zobler, 1986), the result is a global data set of variations in physical properties throughout the soil profile. These properties are important in the determination of water storage in individual soil horizons and exchange of water with the lower atmosphere. The incorporation of this data set into the GISS GCM should improve model performance by including more realistic variability in land-surface properties. All data are global at a 1 degree resolution and are provided in ASCII format. The primary data consist of 2 files. One file contains the depth and particle size (percent sand, silt, and clay) information for each major continent, soil type, and soil horizon. The other file contains ocean/continental coding (corresponding to FAO/UNESCO Soil Map of the World) (FAO/UNESCO, 1971-1981) and Zobler soil type classifications (Zobler, 1986). A fortran code for reading these data files is provided. In addition to the primary data files, there are also 5 derived data sets available for download: 1) soil profile thickness, 2) potential storage of water in the soil profile, 3) potential storage of water in the root zone, 4) potential storage of water derived from soil texture, 5) data set used to prescribe water-holding capacity in the GISS GCM (Model II). Data Citation The data set should be cited as follows: Webb, Robert W., Cynthia E. Rosenzweig, and Elissa R. Levine. 2000. Global Soil Texture and Derived Water-Holding Capacities (Webb et al.). Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.

Tags: earth-science-soils-land-surface-soil-classification, earth-science-soils-land-surface-soil-depth, earth-science-soils-land-surface-soil-horizons-profile, earth-science-soils-land-surface-soil-texture, earth-science-soils-land-surface-soil-water-holding-capacity
Organization: National Aeronautics and Space Administration
Global Vegetation Greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022

This dataset holds the Global Inventory Modeling and Mapping Studies-3rd Generation V1.2 (GIMMS-3G+) data for the Normalized Difference Vegetation Index (NDVI). NDVI was based on corrected and calibrated measurements from Advanced Very High Resolution Radiometer (AVHRR) data with a spatial resolution of 0.0833 degree and global coverage for 1982 to 2022. Maximum NDVI values are reported within twice monthly compositing periods (two values per month). The dataset was assembled from different AVHRR sensors and accounts for various deleterious effects, such as calibration loss, orbital drift, and volcanic eruptions. The data are provided in NetCDF format.

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification-vegetation-in, earth-science-vegetation-biosphere-vegetation-index-normalized-difference-vegetation-index-ndvi
Organization: National Aeronautics and Space Administration
Global Very Long Baseline Interferometry (VLBI) Terrestrial Reference Frame (TRF) solution products from NASA CDDIS

The Terrestrial Reference Frame product consists of a set of station positions, velocities, and correlations. A minimum of three years of data is used in each solution. The TRF operational product is available on the IVS Data Centers approximately quarterly.

Tags: earth-science-geodetics-solid-earth-coordinate-reference-system-global-coordinate-reference-sys
Organization: National Aeronautics and Space Administration
Global Vegetation Types, 1971-1982 (Matthews)

The global vegetation type data of 1 x 1 degree latitude and longitude resolution were designed for use in studies of climate and climate change. Vegetation data were compiled in digital form from approximately 100 published sources. The raw data base distinguished about 180 vegetation types that have been collapsed to 32. The vegetation data were encoded using the UNESCO classification system. Additional information about this data set can be found at http://www.giss.nasa.gov/data/landuse/vegeem.html. ORNL DAAC maintains information on related data sets in the Vegetation Collection. Data Citation The data set should be cited as follows: Matthews, E. 1999. Global Vegetation Types, 1971-1982. Available on-line from Oak Ridge National Laboratory Distributed Active Archive Center, Oak Ridge, Tennessee, U.S.A.

Tags: earth-science-vegetation-biosphere-vegetation-cover
Organization: National Aeronautics and Space Administration
Global-Gridded Daily Methane Emissions from Inland Dam-Reservoir Systems

This dataset includes global maps of methane (CH4) emissions from inland dam-reservoir systems at 0.25-degree spatial resolution. Daily emission rates (as grams of CH4 per day per total area of grid cell) were estimated for boreal, temperate, and subtropical-tropical eco-climatic domains and total emissions. The annual duration of the emission season is based on freeze-thaw cycles of these water bodies as applicable. In addition, the dataset includes the total fractional area of reservoirs in each grid cell. These estimates will promote understanding of the current and future role of reservoirs in the global CH4 budget and guide efforts to mitigate reservoir-related CH4 emissions. These emission estimates are climatological; one daily value for each day of year (n=365) is provided for each grid cell. Modeled estimates were based on daily mean inputs, averaged over 2002 to 2015.

Tags: earth-science-air-quality-atmosphere-emissions, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane, earth-science-ecosystems-biosphere-freshwater-ecosystems, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-lakes-reservoirs
Organization: National Aeronautics and Space Administration
GPM GROUND VALIDATION TWO-DIMENSIONAL VIDEO DISDROMETER (2DVD) HYMEX V1

The GPM Ground Validation Two-Dimensional Video Disdrometer (2DVD) HyMeX data was collected during the HYdrological cycle in Mediterranean EXperiment (HyMeX), which provided data on raindrop size and precipitation drop size distribution. The 2DVD measured the size of raindrops and also recorded two side view optical images of each raindrop. Used for in situ measurements of precipitation drop size distribution, this instrument recorded orthogonal image projections of raindrops as they crossed its sensing area and provided velocity and shape of individual raindrops.The HyMeX 2DVD data were collected in France and Italy from September 12, 2012 to November 12, 2012. The data are in ASCII format.

Tags: earth-science-precipitation-atmosphere-droplet-size, earth-science-precipitation-atmosphere-hydrometeors, 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
Global Wetland Methane Emissions derived from FLUXNET and the UpCH4 Model, 2001-2018

This dataset provides monthly globally gridded freshwater wetland methane emissions from 2001-2018 in nmol CH4 m-2 s-1, g C-CH4 m-2 d-1, and TgCH4 grid cell-1 month-1. The data were derived from a six-predictor random forest upscaling model (UpCH4) trained on 119 site-years of eddy covariance CH4 flux data from 43 freshwater wetland sites covering bog (8), fen (8), marsh (10), swamp (6), and wet tundra (11) wetland classes and distributed across Arctic-boreal (20), temperate (16), and (sub)tropical (7) climate zones. Weekly mean CH4 fluxes were computed from half-hourly FLUXNET-CH4 Version 1.0 fluxes. Each grid cell CH4 flux prediction was weighted by fractional grid cell wetland extent to estimate CH4 emissions using the primary global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M) product and an alternate Global Inundation Estimate from Multiple Satellites GIEMS version 2 global wetland map. Both WAD2M and GIEMS-2 maps were modified with several correction data layers to represent the monthly area covered by vegetated wetlands, excluding open water and coastal wetlands. The data products are: mean daily fluxes with no adjustment for wetland area (i.e., flux densities assuming hypothetical 100% wetland cover); mean daily fluxes adjusting for WAD2M or GIEMS-2 wetland area; and by-pixel monthly sum of freshwater wetland methane emissions adjusting for WAD2M or GIEMS-2 wetland area. The data are provided in NetCDF4 format.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane, earth-science-surface-water-terrestrial-hydrosphere-surface-water-features-wetlands, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements
Organization: National Aeronautics and Space Administration