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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,178 datasets
Three-hour forecast and analysis data from the European Centre for Medium-Range Weather Forecasts (ECMWF) supports the Tropical Cloud Systems and Processes (TCSP) field campaign. The dataset covers a 27-day campaign in July 2005, originating from Costa Rica, to study the formation of hurricanes and tropical storms. Data is provided in gridded binary (GRIB) format, archived into daily files.
Terra MODIS Level-2 Regional 11µm Daytime Sea Surface Temperature (SST) - Near Real-time (NRT) Data, version R2019.0, is produced by the Ocean Biology DAAC (OB_DAAC). It provides global sea surface temperature derived primarily from thermal infrared observations during daytime, with data acquired every 1 to 2 days. The dataset includes geophysical variables for SST, bias, flags, quality levels, and standard deviation.
GHHP Biogeochemistry and Sediments model data predicts the fate of suspended fine sediments and water column production. It is based on the eReefs GHHP Hydrodynamic SHOC model for physical properties and includes a spectrally resolved light model. The data is produced by CSIRO Marlin Data Catalogue and was last updated on 2026-06-09.
A geohazard inventory report documents landslide, permafrost subsidence, and fluvial erosion risks for the Yukon portion of the Dempster Highway. The study identified 54 mass movement geohazards and 102 meander-highway encroachment sites, with 75% of mass movements influenced by permafrost. It was published by the Government of Yukon and last updated in April 2026.
NASA's Turbulent Air Motion Measurement System (TAMMS) IMPACTS dataset provides wind speed, wind direction, and cross-wind speed measurements from the NASA P-3 aircraft. The data was collected during the three-year Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign from 2020 to 2023. These observations support research into snowband formation, microphysical characteristics of snow particles, and the improvement of snowfall remote sensing and modeling.
Nearly 1.4 million gravity stations from the Australian National Gravity Database, supplemented by marine data, were used to generate this 2019 grid. Geoscience Australia processed ground observations collected from the 1940s onward by government, industry, and research bodies. The image represents the half vertical derivative of de-trended global isostatic residual anomalies over Australia and its continental margins at a cell size of approximately 435 meters.
A gravity anomaly grid of Australia and its continental margins derived from approximately 1.8 million ground and marine gravity observations. The grid represents the first vertical derivative of de-trended global isostatic residual anomalies, processed by Geoscience Australia from data collected from the 1940s to September 2019. It has a cell size of approximately 435 meters and integrates data from Australian government, industry, and academic sources, as well as global marine data from Scripps Institution of Oceanography, NOAA, and NGA.
Geoscience Australia's National Gravity Compilation 2019 tilt grid measures subsurface rock density variations across Australia and its continental margins. The grid is derived from nearly 1.4 million ground gravity stations from the Australian National Gravity Database, supplemented with offshore data, and has a cell size of approximately 435 meters. Data collection spans from the 1940s to September 2019, with station spacing ranging from less than 1 km to 11 km.
Geoscience Australia's National Gravity Compilation 2019 tilt image is a gravity anomaly grid covering Australia and its continental margins. It integrates nearly 1.4 million ground gravity stations from the Australian National Gravity Database and offshore data from Scripps Institution of Oceanography, NOAA, and NGA. The grid has a cell size of approximately 435 meters and uses data collected from the 1940s to September 2019.
Australia's 2019 national gravity compilation integrates ground, airborne, and offshore data to model subsurface geology. It includes nearly 1.4 million ground stations and over 450,000 line kilometers of airborne gravity and gradiometry surveys, processed into a grid with a cell size of approximately 435 meters. The data, sourced from government, industry, and research organizations, spans from the 1940s to 2019.
Australia and its continental margins are covered by this gravity anomaly image derived from nearly 1.4 million ground and marine stations. The grid has a cell size of approximately 435 meters and presents de-trended global isostatic residual anomalies in gravity units (um/s^2). Data were compiled by Geoscience Australia from government, industry, and academic sources dating from the 1940s to 2019.
Approximately 1.8 million gravity observations, including nearly 1.4 million ground stations, were used to generate this grid. The data were compiled by Geoscience Australia from Commonwealth, State, Territory, industry, and academic sources, with measurements dating from the 1940s to 2019. This grid shows a tilt of the de-trended global isostatic residual anomalies over Australia and its continental margins at a cell size of approximately 435 meters.
Over 1.8 million gravity observations underpin this 2019 national grid, including nearly 1.4 million ground stations and 451,000 line kilometers of airborne surveys. The Australian Ocean Data Network compiled this first vertical derivative grid from the Australian National Gravity Database and global offshore sources. It represents gravity data collected by government, industry, and research bodies from the 1940s to 2019.
Nearly 1.4 million gravity stations from the Australian National Gravity Database underpin this 2019 grid. Geoscience Australia processed ground and marine data from the 1940s onward to produce a gravity anomaly image with a cell size of approximately 435 meters. The final data, quality-checked by GA geophysicists, reveals subsurface geological structures.
A 2019 compilation integrates approximately 1.8 million gravity observations from the 1940s onward. The grid is derived from ground stations, airborne surveys, and offshore data, processed by Geoscience Australia and partners. It provides a half vertical derivative of Bouguer anomalies at a 0.00417-degree cell resolution.
NASA's Integrated Multi-Mission Ocean Altimeter dataset provides a continuous, homogeneous record of along-track sea surface height anomalies (SSHA) from September 1992 to the present. It combines calibrated data from five satellite missions—TOPEX/Poseidon, Jason-1, OSTM/Jason-2, Jason-3, and Sentinel-6A—interpolated to a common reference orbit. The dataset is produced by NASA-SSH investigators at Goddard Space Flight Center and Jet Propulsion Laboratory, with quarterly updates and refinements under the MEaSUREs program.
SoE2017 provides sulphur dioxide concentration data from the Queensland government. The description indicates that levels in all regions except Mount Isa met the National Environmental Protection Measures (NEPM) Air Quality Standards. Occasional exceedances in Mount Isa are attributed to smelting operations.
Sixty-eight major threats impacting Queensland's threatened fauna have been identified. The threats affecting the most species are 'inappropriate fire regimes', 'clearing of vegetation', 'introduced predators', and 'inappropriate grazing regimes'. Climate change impacts are also identified as a major factor for species persistence in Queensland.
Australia's 2019 National Gravity Compilation grid contains approximately 1.8 million gravity observations processed to reveal sub-surface geological structure. The grid is derived from nearly 1.4 million ground stations in the Australian National Gravity Database, supplemented by offshore data, with ground station spacing ranging from 11 km to less than 1 km. It was produced by Geoscience Australia from data collected by government, industry, and research organizations from the 1940s onward.
60 wave buoy sites around Australia provide near-real-time data essential for understanding coastal processes. The facility, based at the University of Western Australia, uses 'Spotter' buoys to measure integrated and spectral wave parameters and sea surface temperature. Data is available in real time and delayed mode via the National Wave Archive and AusWaves.