Loading...
Loading...
Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,097 datasets
Three main sections comprise this atlas: a history of Arctic exploration from Russian and U.S. perspectives, a primer on arctic meteorology, and a data section with gridded fields of meteorological parameters. The data section contains maps of air temperature, sea level pressure, precipitation, cloud cover, and snow and solar radiation derived from drifting and coastal stations. It also includes newly released meteorological station data from Russian sources, English translations of Russian technical documents, and a bilingual glossary.
A GDA2020 geospatial service released on 06/02/2020, representing the approximate centerline of formally named water features with indistinct extents. The data is provided by Spatial Services, a business unit of the Department of Customer Service NSW, and forms part of the NSW Water Theme within the Foundational Spatial Data Framework. It is a critical input to the Australian Water Resources Information System.
20m Historical Contours are vector lines representing points of equal elevation relative to the Australian Height Datum (AHD). The contours were digitized from aerial photography and ortho images captured at scales of 1:25,000, 1:50,000, and 1:100,000, with processing completed between 2003 and 2017. The feature reliability dates of the original contours range from 1971 through to 2008.
Ontario, Canada hosts this dataset of post-processed consensus winds from a Vaisala Wind Profiler LAP 3000. It contains wind speed and direction data collected from January 15 to March 1, 2012 at the CARE site for the GPM Cold-season Precipitation Experiment (GCPEx). The National Aeronautics and Space Administration produced this dataset to validate satellite-based snowfall detection and estimation methods.
Vaisala RS92 radiosondes collected vertical profiles of pressure, temperature, humidity, and winds during the GPM Cold-season Precipitation Experiment. This dataset was gathered at the CARE site in Ontario, Canada, from January 17 to February 29, 2012, to support NASA's Global Precipitation Measurement mission. The primary goal was to improve satellite-based snowfall retrieval algorithms by providing ground-truth atmospheric data.
Mid-latitude continental data from the 2011 MC3E campaign provides high-resolution precipitation measurements. The dataset contains paired tipping-bucket rain gauge records from Met One and Campbell Scientific instruments, offering both raw rainfall accumulation and cubic-spline interpolated rain rates at one-minute resolution. These measurements support the validation of satellite-based precipitation estimates from the Global Precipitation Measurement (GPM) mission.
Australia and its continental margins are covered by this gravity anomaly image derived from the 2019 Australian National Gravity Grids. The grid integrates nearly 1.4 million ground stations and over 450,000 line kilometers of airborne gravity and gradiometry data collected from the 1940s to 2019. It is produced by Geoscience Australia from the National Gravity Database and supplemented by global offshore data.
KORUS-AQ field study data was collected in South Korea during May-June 2016. This dataset from the R/V Onnuri features in-situ trace gas measurements and absorption coefficient spectra, contributing to a multi-platform campaign involving 16 ground sites, 2 ships, and 3 aircraft. The study's primary objectives were to investigate factors controlling Korean air quality and assess future satellite-based observing strategies.
149 professionals from urban planning, geomatics, and AI evaluated three GeoAI tools for disaster preparedness and climate adaptation. ArcGIS Pro received the highest mean effectiveness score of 4.6 out of 5.0. The study, authored by Abdulrazzaq J. Alkherret and shared under CC-BY-4.0, identifies key adoption barriers including data quality (65%), integration issues (55%), cost (50%), and lack of training (45%).
September 2019 compilation of approximately 1.8 million gravity observations processed into a tilt grid with a 435m cell size. The grid is derived from ground data in the Australian National Gravity Database and offshore data from Scripps Institution of Oceanography, NOAA, and NGA. It shows de-trended global isostatic residual anomalies to highlight edges of geological units.
A 2019 compilation integrates nearly 1.4 million ground gravity stations and over 450,000 line kilometers of airborne gravity and gradiometry data, collected from the 1940s onward. The grid, with a cell size of approximately 435 meters, was processed by Geoscience Australia and includes terrain corrections using bathymetry and topography. It provides a half vertical derivative of complete Bouguer anomalies for Australia and its continental margins.
10m Historical Contours are virtual lines joining points of equal elevation relative to the Australian Height Datum. The contours were digitized from aerial photography and ortho image traces between 2003 and 2017, with original feature reliability dates ranging from 1971 to 2008. This dataset is part of the NSW Elevation and Depth Theme, managed by Spatial Services, a business unit of the Department of Customer Service NSW.
Nearly 1.4 million gravity stations from a total of 1.8 million observations were used to create this continental-scale gravity grid. The Australian Ocean Data Network compiled this image from ground data collected since the 1940s and offshore data from Scripps Institution of Oceanography, NOAA, and NGA. It represents de-trended global isostatic residual anomalies with a cell size of approximately 435 meters.
Nearly 1.4 million gravity stations from the Australian National Gravity Database, supplemented with offshore data, were used to generate this 2019 grid. The image shows the first vertical derivative of the complete Bouguer anomalies over Australia and its continental margins, derived from a grid with a cell size of approximately 435 meters. Ground gravity data was acquired by government, industry, and research organizations from the 1940s to the present day.
Nearly 1.8 million gravity observations underpin this 2019 national compilation, integrating ground stations, 345,000 line km of airborne gravity, and 106,000 line km of airborne gravity gradiometry data. The grid, with a 435-meter cell size, shows a tilt of de-trended global isostatic residual anomalies to highlight geological edges. Data from Commonwealth, State, industry, and academic sources collected from the 1940s onward were processed by Geoscience Australia.
The 2019 Australian National Gravity Grids B series integrates approximately 1.8 million gravity observations, including nearly 1.4 million ground stations and airborne surveys totaling 451,000 line km. It was compiled by Geoscience Australia (GA) from data acquired by government, industry, and research organizations from the 1940s to 2019. The grid has a cell size of 0.00417 degrees (approximately 435m) and includes terrain corrections from bathymetry and topography.
The 2019 National Gravity Compilation tilt image is derived from nearly 1.4 million gravity stations in the Australian National Gravity Database as of September 2019, supplemented with offshore data. The grid has a cell size of 0.00417 degrees (approximately 435m) and covers Australia and its continental margins. Data was acquired from the 1940s to present by government, industry, and research entities, processed with terrain corrections and a tilt filter.
The Australian Ocean Data Network provides a geological description of the Kenn Plateau, a submarine continental fragment with an area of about 140,000 km². The description details its tectonic history from the Cretaceous to the present, including rifting, volcanic activity, and sediment deposition. The dataset was last updated on 2026-06-05.
A 2019 compilation integrates approximately 1.8 million gravity observations, including nearly 1.4 million ground stations and 451,000 line km of airborne surveys. The Australian National Gravity Database, supplemented with global offshore data, was processed to produce a complete spherical cap Bouguer anomaly grid with a 435m cell size. The grid, derived from data collected from the 1940s onward and quality-checked by GA geophysicists, shows anomalies over Australia and its continental margins.
Southern Africa produces almost one-third of Earth's biomass burning aerosol particles. The ORACLES campaign collected multi-year airborne remote sensing and in-situ measurements over the southeast Atlantic to study the climate impacts of these aerosols above clouds. Data from three intensive observation periods between 2016 and 2018 capture the complete vertical column of parameters driving aerosol-cloud interactions.