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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,657 datasets
NASA's OCO-2 Level 1B Calibration dataset contains calibrated, geolocated spectra from the Orbiting Carbon Observatory-2 satellite's three high-resolution spectrometers. This product is derived from calibration mode observations (e.g., Lunar, Solar, Dark) and differs from the science product primarily in its geolocation format, reporting boresight direction instead of per-sounding data. The retrospective processing (V10r) uses the full timeseries for calibration estimation, which is expected to yield slightly higher quality data.
Version 11.2 contains calibrated radiances from three high-resolution spectrometers, each with 1016 spectral elements, measuring reflected sunlight at specific near-infrared wavelengths. This Level 1B product converts raw instrument data into calibrated radiances and includes geolocation for each measurement. The data supports the characterization of processes controlling atmospheric carbon dioxide buildup from the Orbiting Carbon Observatory-2 mission.
Retrospective processing version 11r provides calibrated radiances and geolocation from the OCO-2 satellite's three high-resolution spectrometers. The data converts raw instrument measurements into calibrated radiances for the near-infrared CO2 bands at 1.61 and 2.06 micrometers and the molecular oxygen A-Band at 0.76 micrometers. This dataset supports the characterization of processes controlling atmospheric carbon dioxide buildup.
From October 1 to December 31, 2025, this dataset provides measured concentrations of carbon monoxide and other main indicators of ambient air quality. The data is created and maintained by the National Ambient Air Quality Control System in accordance with the Clean Ambient Air Act. The organization responsible for the data is the Data Department of the State e-Government Agency.
Measured concentrations of nitrogen dioxide, a main indicator of ambient air quality. The data is collected by the National Ambient Air Quality Control System under the Clean Ambient Air Act. The dataset covers a specific period from October 1st to December 31st, 2025.
NASA's OCO-3 Level 1A dataset provides depacketized raw data from three high-resolution spectrometers aboard the LEOStar-2 spacecraft. This data is the input for Level 1B processing, containing calibrated engineering data and 1016 spectral elements per band for near-infrared CO2 and molecular oxygen measurements. It supports the characterization of processes controlling atmospheric carbon dioxide buildup.
OCO-2 Level 2 IMAP-DOAS data provides spatially ordered, geolocated retrievals from NASA's Orbiting Carbon Observatory-2 mission. The dataset contains outputs from the IMAP-DOAS preprocessor, used for screening the official XCO2 product and for retrieving Solar-Induced Fluorescence from the 0.76 micrometer O2 A-band. It is derived from three high-resolution spectrometers on the LEOStar-2 spacecraft measuring reflected sunlight at specific near-infrared wavelengths.
Retrospective processing V11r provides the current version of this dataset, superseding all older versions. The dataset contains outputs from the IMAP-DOAS preprocessor for NASA's Orbiting Carbon Observatory-2 (OCO-2) mission, which uses three high-resolution spectrometers to measure reflected sunlight for atmospheric carbon dioxide and molecular oxygen. This preprocessor data is used for screening the official XCO2 product and for retrieving Solar-Induced Fluorescence from the 0.76 micrometer O2 A-band.
NASA's Orbiting Carbon Observatory-3 (OCO-3) instrument, deployed to the International Space Station in May 2019, provides calibrated, geolocated science spectra. The dataset contains high-resolution spectrometer measurements of reflected sunlight at specific near-infrared wavelengths to quantify atmospheric carbon dioxide and includes an algorithm for cloud and aerosol screening. It is designed to characterize the processes controlling the buildup of CO2 in the atmosphere with high precision and spatial resolution.
OCO-3 Level 2 data provides geolocated retrievals of the column-averaged dry-air mole fraction of carbon dioxide (XCO2) from the International Space Station. The dataset is produced by three high-resolution spectrometers measuring reflected sunlight in specific near-infrared and oxygen A-band wavelengths. It supports the characterization of processes controlling atmospheric CO2 buildup.
Version 11r is the current version of this dataset, superseding all older versions. The Orbiting Carbon Observatory-3 (OCO-3) instrument, deployed to the International Space Station in May 2019, provides high-resolution, space-based measurements of atmospheric carbon dioxide. It uses three spectrometers to measure reflected sunlight in specific near-infrared and oxygen A-band wavelengths, enabling retrieval of CO2 concentrations and supporting cloud-screening algorithms.
NASA's Orbiting Carbon Observatory-3 (OCO-3) Level 2 dataset provides spatially ordered, geolocated retrievals of atmospheric carbon dioxide (CO2). The instrument, deployed to the International Space Station in May 2019, uses three high-resolution spectrometers to measure reflected sunlight in near-infrared and oxygen A-band wavelengths. The data is processed with a specific A-band preprocessor algorithm for cloud screening and retrieval of surface pressure and albedo.
Version 11r, the current and retrospective processing version, supersedes all older releases. The Orbiting Carbon Observatory-3 (OCO-3) instrument, deployed to the International Space Station in May 2019, provides high-resolution spectroscopic measurements designed to characterize the processes controlling atmospheric carbon dioxide buildup. Its data products include retrievals screened using the IMAP-DOAS preprocessor and employ a Bayesian cloud-screening algorithm on molecular oxygen A-band spectra.
Six wavelengths (510, 600, 675, 745, 869, and 997 nm) provide aerosol extinction coefficients from the OMPS Limb-Profiler sensor on the Suomi-NPP satellite. This daily, global product measures stratospheric aerosol abundance from the ground up to about 80 km with a vertical resolution of approximately 1.8 km, replacing the previous single-wavelength product. Data is structured in HDF5 files, with about 14.5 orbits per day, each containing three limb profiles spaced roughly 250 km apart.
OMPS-NPP L2 LP Aerosol Extinction Vertical Profile data provides retrieved aerosol extinction coefficients from the Suomi-NPP satellite's Limb-Profiler sensor. It measures stratospheric aerosol abundance and evolution at six specific wavelengths (510, 600, 675, 745, 869, and 997 nm) globally, with profiles from the ground up to about 80 km and a vertical resolution of approximately 1.8 km. This dataset replaces the previous single-wavelength AER675 product.
A National Carbon Infrastructure Plan study assesses the CO2 storage suitability of the Gage Sandstone in the Vlaming Sub-basin, offshore Western Australia. The dataset, from the Australian Ocean Data Network, integrates 2D seismic interpretation, well log analysis, and biostratigraphic data to characterize the reservoir. It was last updated on 2026-04-10.
The Australian Ocean Data Network provides hydrogeochemical data on groundwater in the upper Hunter River valley of New South Wales. The description details chemical processes like silicate dissolution and ion exchange, focusing on regional recharge zones and aquifers in Triassic, Carboniferous, and Permian rocks. The dataset was last updated on 2026-04-16.
Measured concentrations of main ambient air quality indicators, likely including fine particulate matter. The data are created and maintained in accordance with the Clean Ambient Air Act by the Data Department of a State e-Government Agency. The dataset covers a specific three-month period from October to December 2025.
This dataset details the humanitarian and infrastructure impacts of the 2019 Tropical Cyclone Pawan in Somalia, compiled by the IGAD Climate Prediction and Applications Center (ICPAC). It quantifies damage for 213,600 affected individuals across districts including Eyl, Qardho, and Qandala, featuring specific rainfall totals and household destruction counts. The data covers the period immediately following the storm's landfall on December 7, 2019.
A 2019 compilation of gravity data for Australia and its continental margins, derived from nearly 1.4 million ground stations and over 450,000 line km of airborne surveys collected from the 1940s onward. The grid, with a cell size of approximately 435 meters, shows the first vertical derivative of de-trended global isostatic residual anomalies. It was produced by Geoscience Australia from the Australian National Gravity Database and global offshore data.