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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,700 datasets
Lineaments interpreted from 50-meter gridded Total Magnetic Intensity (TMI) data. The dataset was compiled by GHD for the 'Potential Influences of Geological Structures on Groundwater Flow Systems' report for the Secure Allocation Future Entitlements (SAFE) Project. It focuses on NNE-SSW, ENE-WSW, and WNW-ESE structural trends not closely addressed by prior work from the former Department of Primary Industries.
Results from the 4km-resolution GBR4 biogeochemistry and sediment model of the Great Barrier Reef, simulating a reduced-loads catchment scenario. The model was developed by the eReefs project and ran in hindcast-mode as part of a suite comparing baseline and pre-industrial scenarios. Results were last updated in April 2026.
A 2019 Nature Communications article synthesizes recent progress in identifying the geological evidence for past Antarctic ice shelves, addressing a key gap in understanding ice sheet dynamics. The work, authored by Smith et al. and published by the Australian Ocean Data Network, reviews advances in dating methods and sediment proxies. It highlights the challenge of distinguishing sub-ice-shelf deposits from other glacimarine environments to constrain past ice sheet behavior.
A review article synthesizes recent progress in identifying the marine geological imprint of Antarctic ice shelves. The work, published in Nature Communications in 2019, was authored by J.A. Smith, A.G.C. Graham, A.L. Post, and colleagues. It summarizes advances in dating methods and proxies for reconstructing past ice shelf extent and drivers of change.
93 sites of underwater still images collected from the George V shelf in East Antarctica between January and February 2011. The Australian Antarctic Division marine science support team operated the camera equipment, which was attached to oceanographic frames and lowered to 4-5 meters from the seafloor. Images were collected at depths from 170 m to 2300 m and stamped with UTC time.
From July 18 to October 18, 2012, two Autonomous Surface Vehicles (WaveGlider1760 and WaveGlider1741) collected surface underway measurements in the North Pacific Ocean off the US West Coast. The dataset includes mole fractions, fugacity, and partial pressure of carbon dioxide in both seawater and air, alongside sea surface temperature, salinity, pH, and oxygen ratios. These measurements are designed to study air-sea gas exchange and ocean acidification processes.
Surface underway measurements from the Autonomous Surface Vehicle Saildrone1020 document the partial pressure and fugacity of carbon dioxide in air and seawater across the South Atlantic, South Pacific, Indian, and Southern Oceans. The dataset includes concurrent measurements of sea surface temperature, salinity, barometric pressure, wind speed, and oxygen levels from January to August 2019. These parameters are critical for calculating air-sea CO2 fluxes and understanding oceanic carbon uptake in remote polar and subpolar regions.
Provincial Environmental Ordinance 2018 - Boundary prohibition zone deep drilling (history) is a geospatial dataset from the Dutch Ministry of the Interior and Kingdom Relations. It delineates deep drilling prohibition zones under the Drenthe Provincial Environmental Ordinance adopted on 3 October 2018, aimed at protecting groundwater sources for drinking water. The data likely contains map layers defining areas where natural clay layers provide groundwater protection.
1980-present monthly atmospheric reanalysis data produced by NASA's Global Modeling and Assimilation Office. The dataset contains instantaneous 3-dimensional analyzed meteorological fields, including temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height across 42 pressure levels. It is generated using the Goddard Earth Observing System Model version 5.12.4 and has a latency of approximately three weeks after the end of each month.
M2SDNXSLV is a daily statistics collection from NASA's MERRA-2 global atmospheric reanalysis. It includes daily means, minima, maxima, and maximum precipitation rates, covering the period from 1980 to the present. The data is produced by NASA's Global Modeling and Assimilation Office using the GEOS model.
M2SMNXEDI is a monthly data collection of extreme detection indices derived from NASA's MERRA-2 reanalysis. Version 1 is computed based on the 1981-2010 climatology, covering the period from January 1980 to December 2022. The dataset is produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4.
NASA's Global Modeling and Assimilation Office produces this global atmospheric reanalysis dataset covering the period from 1980 to the present. It consists of instantaneous, three-dimensional monthly diurnal means of assimilated meteorological fields, such as temperature, wind, and water vapor, at 42 pressure levels. The data is generated every three hours using the Goddard Earth Observing System Model version 5.12.4.
MERRA-2 M2IUNPANA is an instantaneous 3-dimensional monthly diurnal means data collection produced by NASA's Global Modeling and Assimilation Office. It contains analyzed meteorological fields at 42 pressure levels, including temperature, wind components, specific humidity, ozone mixing ratio, and geopotential height, as monthly means of data fields every six hours. The dataset covers the period from 1980 to the present with a latency of approximately three weeks after the end of a month.
January 1980 to December 2022 monthly percentile statistics derived from NASA's MERRA-2 atmospheric reanalysis. The dataset is produced by the NASA Global Modeling and Assimilation Office (GMAO) using the Goddard Earth Observing System Model (GEOS) version 5.12.4. It provides percentiles for maximum, mean, and minimum 2-m air temperature and total precipitation.
M2TCNPLTM is a 3-dimensional monthly climatological dataset derived from NASA's MERRA-2 atmospheric reanalysis. It provides long-term means and standard deviations for meteorological fields like temperature, wind, and humidity across 12 vertical pressure levels. Version 1 of this collection is calculated from data spanning the 30-year period from 1981 to 2010.
NASA's MERRA-2 reanalysis provides assimilated monthly mean diagnostics for carbon monoxide and ozone from 1980 to the present. The data includes column burdens, emissions, chemical production, and surface concentrations for carbon monoxide, as well as total column ozone. Produced by NASA's Global Modeling and Assimilation Office using the GEOS model, this collection supports atmospheric research with a latency of approximately three weeks.
M2TMNPODT is a 3-dimensional monthly mean data collection from NASA's MERRA-2 global atmospheric reanalysis. It contains assimilations of ozone tendencies on 42 pressure levels, covering the period from 1980 to the present with a latency of about three weeks after each month. The dataset is produced by NASA's Global Modeling and Assimilation Office using the Goddard Earth Observing System Model version 5.12.4.
Monthly diurnal means of assimilated carbon monoxide and ozone diagnostics from NASA's MERRA-2 global atmospheric reanalysis. The dataset covers the period from 1980 to the present, with a latency of approximately three weeks after each month. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
1980-present monthly diurnal means of radiation diagnostics from NASA's MERRA-2 global atmospheric reanalysis. The dataset includes hourly time-averaged fields such as surface albedo, cloud area fraction, and surface incoming shortwave flux, produced by NASA's Global Modeling and Assimilation Office using the GEOS model. Data is available with a latency of approximately three weeks after the end of each month.
NASA's Earth Probe satellite mapped daily total ozone across a global grid of 51,840 cells (180 x 288). This version 8 dataset provides a consistent record of atmospheric ozone concentration at a 1.00 x 1.25 degree latitude/longitude resolution. Data are stored in ASCII format and were produced by the Laboratory for Atmospheres at NASA Goddard Space Flight Center.