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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,629 datasets
1992 to 2001 fire records for Kruger National Park in South Africa, compiled from hardcopy records, vector data, and satellite imagery. The dataset includes a GIS polygon map and a cross-referenced database detailing fire events over a decade. It was produced by ORNL_CLOUD and is hosted on multiple government and science platforms.
NOAA-14 satellite data from 1995 to 2006 provides daily ozone nadir profiles and total column measurements using the v8.6 SBUV algorithm. This algorithm incorporates Brion-Daumont-Malicet ozone cross-sections and an OMI-derived cloud-height climatology for retrieval. The daily HDF5 files served as the direct input for generating monthly zonal mean ozone products.
From February 1985 through January 1998, this dataset provides daily ozone nadir profile and total column measurements from the NOAA-9 satellite's Solar Backscattered Ultraviolet (SBUV) instrument. The data are generated using the v8.6 SBUV algorithm, which incorporates specific ozone cross-sections and cloud-height climatologies. These Level-2 daily files serve as the input for creating monthly zonal mean ozone products.
SBUV2N19L2 provides daily ozone nadir profile and total column data retrieved from NOAA-19 satellite measurements using the v8.6 Solar Backscattered Ultraviolet (SBUV) algorithm. The algorithm incorporates Brion-Daumont-Malicet ozone cross sections, an OMI-derived cloud-height climatology, a revised a priori ozone climatology, and inter-instrument calibration. This Level-2 product serves as the direct input for generating monthly zonal mean ozone data.
Sentinel-5P TROPOMI provides total ozone column measurements at a nadir spatial resolution of approximately 5.5km. The data product applies the Direct-fitting algorithm (S5P_TO3_GODFIT) to derive total vertical column ozone, ozone effective temperature, and error information from hyperspectral measurements across ultraviolet-visible, near infrared, and shortwave infrared wavelengths. Its availability across multiple platforms indicates established use for atmospheric monitoring.
Groundwater Catchments (GC) is a geospatial boundary layer for Victoria, Australia, produced by the Secure Allocations, Future Entitlement (SAFE) Project. The dataset delineates groundwater catchments by integrating aquifer systems, groundwater flow, surface water catchments, and administrative management boundaries. It was last updated on 2026-04-08 by the Department of Energy, Environment and Climate Action.
Towed camera imagery from two research voyages, IN2015_C01 and IN2017_C01, targeting seabed fauna in the Great Australian Bight. The collection likely contains video and still images from depths of ~1000-5000 meters, focusing on volcanic seamounts, canyons, and potential seep zones. Data is archived by CSIRO's MarLIN Data Catalogue, with annotations stored in the BHIMAGE database.
LLC4320 is a high-resolution global ocean simulation dataset providing hourly estimates of oceanographic variables. It is based on the MITgcm model with a 2km nominal horizontal grid and 90 vertical levels, optimized for upper-ocean processes. The dataset includes three-dimensional fields like temperature, salinity, and velocity, as well as two-dimensional surface fluxes and anomalies.
26 vertical levels from the surface to 0.1 hPa provide the vertical distribution of atmospheric ozone (O3). The NASA TROPESS project uses the MUSES optimal estimation algorithm to combine measurements from the AIRS instrument on Aqua and the OMI instrument on Aura. Daily netCDF files contain retrieved ozone state, formal uncertainties, and diagnostic information globally from February 2021 onward.
TROPESS AIRS-Aqua L2 Carbon Monoxide data provides the vertical distribution of atmospheric carbon monoxide (CO) concentrations and their formal uncertainties. It is a global, daily satellite product from February 1, 2021, to the present, with a spatial resolution of 13.5 km and profiles reported at 14 vertical levels. The data is generated using the MUSES optimal estimation algorithm from the AIRS instrument on NASA's EOS Aqua satellite.
NASA's TROPESS project provides a 17-year global record of deuterated water vapor (HDO) profiles, retrieved using the MUSES optimal estimation algorithm from the AIRS instrument on the Aqua satellite. Each daily netCDF file contains vertical distributions from the surface to 0.1 hPa at a spatial resolution of 13.5 km, along with formal uncertainties. This dataset supports research into atmospheric water cycles and climate processes by distinguishing isotopologues.
TROPESS AIRS-Aqua L2 Deuterated Water Vapor for Forward Stream provides the vertical distribution of semi-heavy water (HDO) retrieved from the AIRS instrument on NASA's Aqua satellite. The dataset contains daily global measurements from February 2021 onward, reported at 17 vertical levels with a spatial resolution of 13.5 km. It is generated using the MUSES optimal estimation algorithm under the TROPESS project led by Kevin W. Bowman.
26 vertical levels from the surface to 0.1 hPa provide the retrieved atmospheric state of methane (CH4) and its formal uncertainties. This dataset contains daily global measurements from the CrIS instrument on the JPSS-1 (NOAA-20) satellite, processed using the MUSES optimal estimation algorithm by the NASA TROPESS project starting April 1, 2021. Each netCDF4 file represents one day of data with a spatial resolution of 14 km at the CrIS nadir field of view.
TROPESS CrIS-SNPP L2 Ozone data provides the vertical distribution of atmospheric ozone (O3) measured by the CrIS instrument on the Suomi-NPP satellite. The forward stream standard product contains retrieved ozone state, formal uncertainties, and diagnostic information at 26 vertical levels from the surface to 0.1 hPa. Data is stored in daily netCDF4 files with a 14 km spatial resolution for a global time period from February to May 2021.
TROPESS CrIS-SNPP L2 Ozone for Reanalysis Stream provides the vertical distribution of atmospheric ozone (O3) and its uncertainties, retrieved from the Cross-track Infrared Sounder (CrIS) on the Suomi-NPP satellite. The dataset uses the MUSES optimal estimation algorithm to produce daily global files from December 2015 to May 2023. Data are reported at 26 vertical levels from the surface to 0.1 hPa with a spatial resolution of 14 km at nadir.
From November 1, 2019 to January 31, 2020, this dataset provides vertical ozone profiles measured by the Suomi-NPP satellite's CrIS instrument over Australia during wildfire outbreaks. It contains retrieved ozone concentrations, formal uncertainties, and diagnostic information at 26 vertical levels from the surface to 0.1 hPa. The data is processed using the NASA TROPESS project's MUSES optimal estimation algorithm and is stored in daily netCDF files.
TROPESS CrIS-SNPP L2 Methane data provides the vertical distribution of atmospheric methane (CH4) concentrations and uncertainties from the Suomi-NPP satellite. The dataset uses an optimal estimation algorithm (MUSES) to produce daily global files at 26 vertical levels from the surface to 0.1 hPa. Its coverage spans from December 2015 to May 2021, when processing for this specific methane product was discontinued.
From February 2021 to present, this dataset provides daily global measurements of the vertical distribution of atmospheric ozone (O3) and its uncertainties. The data is produced by the NASA TROPESS project using the MUSES optimal estimation algorithm from the OMI instrument on the EOS Aura satellite. Each file contains one day of data reported at 26 vertical levels from the surface to 0.1 hPa.
Montreal Island atmospheric concentrations of metal pollutants sampled by the Air Quality Monitoring Network (RSQA). The dataset shows metal concentration per station by sampling date, with annual sampling at specific stations starting in 2020 and historical data for select years from 2003 to 2019. The list of metals measured likely differs from year to year.
26 vertical levels from the surface to 0.1 hPa provide a detailed atmospheric ozone profile. This dataset contains the vertical distribution of ozone (O3) and formal uncertainties retrieved from the AIRS instrument on Aqua and the OMI instrument on Aura satellites. The NASA TROPESS project uses the MUSES optimal estimation algorithm to produce daily global data from February 2021 onward.