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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,656 datasets
Arctic Ocean solar-induced chlorophyll fluorescence (SIF) data provides monthly estimates at a 0.05-degree resolution from January 2004 to December 2020. The dataset was created by ORNL_CLOUD using a random forest model to extend TROPOMI satellite instrument records from 2018-2021 back to 2004. It is designed to monitor phytoplankton physiological responses to climate change and is distributed in cloud-optimized GeoTIFF format.
Eleven western U.S. states are covered by this dataset of high-resolution climate inputs for land surface modeling. It contains 3-hourly data at a 4 x 4 km spatial scale from 1979 through 2015, derived from the GRIDMET observational source. The data were processed by ORNL_CLOUD for use in the Community Land Model (CLM v4.5) to estimate carbon stocks and fluxes.
The Arrinthrunga Formation is a complex Upper Cambrian carbonate and mixed carbonate-siliciclastic sequence deposited in an extensive epeiric sea in the Georgina Basin, central Australia. The dataset, provided by the Australian Ocean Data Network, describes depositional environments including algal flats, hypersaline lagoons, peloid shoals, and evaporite pans, culminating in a karst erosion surface. The record was last updated on 2026-04-10.
Upper Xingu River Basin in Mato Grosso, Brazil, is covered by this 8-day time series of daily average land surface net radiation (Rnet) and its component parameters at approximately 0.5 km resolution. Data spans from February 2000 to November 2012, derived from MODIS satellite products and local weather station data under all sky conditions. The dataset is provided by ORNL_CLOUD.
Version 11.2 is the current version of this dataset, superseding all older versions. The dataset contains depacketized raw data numbers from the Orbiting Carbon Observatory-2 (OCO-2) satellite, formatted as Level 1A products for input to the Level 1B process. It provides calibrated engineering data from three high-resolution spectrometers measuring reflected sunlight at specific near-infrared wavelengths to characterize atmospheric carbon dioxide.
NASA's Orbiting Carbon Observatory-2 (OCO-2) mission provides space-based measurements of atmospheric carbon dioxide. The Level 1A data product contains depacketized raw data numbers from three high-resolution spectrometers measuring reflected sunlight at specific near-infrared wavelengths for CO2 and molecular oxygen. This calibrated engineering data serves as the fundamental input for generating higher-level science products.
NASA's Orbiting Carbon Observatory-2 (OCO-2) mission provides the first space-based measurements of atmospheric carbon dioxide with the precision needed to characterize its buildup. Its Level 1B product delivers calibrated radiances and geolocation from three high-resolution spectrometers measuring reflected sunlight at specific near-infrared wavelengths. A ~300-meter pointing error affecting data from January 28 to December 31, 2020, was identified and corrected in a reprocessing completed by June 2021.
OCO-3 Level 1A data provides depacketized raw spectrometer measurements from the NASA Orbiting Carbon Observatory-3 mission. The dataset contains calibrated engineering data and raw data numbers from three high-resolution spectrometers measuring reflected sunlight at specific near-infrared and oxygen A-band wavelengths. This data serves as the primary input for generating higher-level atmospheric carbon dioxide products.
OCO-3 Level 1A data provides depacketized raw spectrometer measurements from NASA's Orbiting Carbon Observatory-3 mission. The dataset contains calibrated engineering data from three high-resolution spectrometers measuring reflected sunlight at specific near-infrared wavelengths for CO2 and molecular oxygen. This retrospective processing (Version 11r) uses the full timeseries for calibration and is intended as input for Level 1B processing.
OCO-3 is the first NASA mission dedicated to space-based measurements of atmospheric carbon dioxide with the precision needed to characterize its buildup. Deployed to the International Space Station in May 2019, its three high-resolution spectrometers measure reflected sunlight at specific near-infrared and oxygen A-band wavelengths. These calibrated spectra support a Bayesian retrieval algorithm for estimating surface pressure and albedo while screening for clouds and aerosols.
Version 10 supersedes all previous versions of this dataset. The OCO-3 instrument, deployed to the International Space Station in May 2019, collects Level 1B calibration data from three high-resolution spectrometers measuring reflected sunlight at specific near-infrared wavelengths. This product differs from the science product by providing boresight vector direction for calibration observations like Lunar, Solar, and Dark measurements.
OCO-3 Level 2 data provides daily aggregated, bias-corrected measurements of solar-induced fluorescence (SIF) and select atmospheric fields from the International Space Station. The instrument, deployed in May 2019, uses three high-resolution spectrometers to measure reflected sunlight in near-infrared CO2 bands and the molecular oxygen A-band for precise characterization of carbon dioxide processes. Its primary cloud-screening algorithm employs a fast Bayesian retrieval to estimate surface pressure and albedo from O2 A-band spectra.
NASA's Orbiting Carbon Observatory-3 (OCO 3) instrument, deployed on the International Space Station in May 2019, provides Level 1B calibrated spectral data from three high-resolution spectrometers. This specific dataset contains calibration mode measurements (e.g., Lunar, Solar, Dark observations) processed retrospectively for higher quality, differing from science products in its geolocation reporting. It supports the characterization of processes controlling atmospheric carbon dioxide buildup with measurements at 0.76, 1.61, and 2.06 micrometer wavelengths.
OCO-3 Level 2 spatially ordered geolocated retrievals screened using the A-band Preprocessor, Forward Processing V10 is a NASA mission dataset from the Orbiting Carbon Observatory-3 instrument on the International Space Station. It provides high-resolution, space-based measurements of atmospheric carbon dioxide using three calibrated spectrometers. The data is processed with a specific algorithm that uses oxygen A-band spectra for cloud screening and to estimate surface pressure and albedo.
OCO-3 Level 2 data provides spatially ordered, geolocated retrievals of atmospheric carbon dioxide from the International Space Station. The dataset incorporates measurements from three high-resolution spectrometers targeting CO2 and molecular oxygen bands, processed using a Bayesian retrieval algorithm for cloud screening. Version 11 represents the current operational processing standard, superseding all previous versions.
OCO-3 Level 2 data provides spatially ordered, geolocated retrievals of atmospheric carbon dioxide from the International Space Station, beginning in May 2019. The dataset is produced by three high-resolution spectrometers measuring reflected sunlight in near-infrared and oxygen bands, enabling precise characterization of CO2 buildup. A key feature is the use of the Oxygen-A Band cloud screening algorithm to filter measurements for clear-sky conditions.
ATMOWeb provides a graphical interface for browsing, subsetting, and retrieving selected ionospheric and atmospheric data from the Space Physics Data Facility (SPDF) at NASA's Goddard Space Flight Center. The data can be displayed as time series plots, with filtering and scatter plot options available for a few spacecraft. The dataset was last updated on 2026-04-10.
OMPS-N21's Limb-Profiler sensor provides daily global vertical profiles of stratospheric aerosol extinction at six specific wavelengths (510, 600, 675, 745, 869, and 997 nm). Each day's data comprises approximately 14.5 orbits, with three limb profiles per orbit spaced about 250 km apart, measuring from the ground up to 80 km altitude. This multi-wavelength product replaces the older single-wavelength AER675 dataset, offering enhanced capability for tracking aerosol abundance and evolution in the stratosphere and mesosphere.
A marine survey collected paired geochemical and biological samples from 32 stations in Jervis Bay, Australia, to investigate abiotic surrogates for biodiversity. The survey design included spatial replication across a grid and temporal replication by combining with a prior winter survey, as well as fine-scale replication at 8 stations. Data collection was conducted by the Australian Ocean Data Network, with preliminary results indicating seasonal variation in physical variables and infaunal assemblages.
3191 km of multichannel seismic data were acquired in November 1992 to investigate the geological framework of the southern Lord Howe Rise and West Norfolk Ridge. The Australian Ocean Data Network published this post-cruise report to support understanding of basin development, crustal characteristics, and resource potential in the Australia/New Zealand seabed boundary zone. Data collection aimed to assist in defining Australia's legal continental shelf, an area estimated at about 1.65 million km² in the region.