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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,178 datasets
Two earthquake events with magnitudes of 5.4 and 5.5 were recorded near Sarangani, Philippines, on June 11, 2026. The dataset provides precise geospatial coordinates, depth, and an initial estimate of population impact within a 50km radius. It is produced by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system for rapid humanitarian assessment.
Australia's Ocean Gliders Facility deploys a fleet of Slocum and Seaglider autonomous underwater vehicles around the Australian coastline. The gliders record temperature, salinity, dissolved oxygen, turbidity, dissolved organic matter, and chlorophyll against position and depth. This delayed-mode data, managed by the Australian Ocean Data Network, contributes to the study of major boundary currents like the Leeuwin and East Australian Current.
Digital Earth Australia Coastlines is a continental dataset providing annual shoreline positions and rates of coastal change for Australia's over 30,000 km coastline from 1988 to the present. It combines satellite data from Geoscience Australia's Digital Earth Australia program with tidal modelling to map the typical coastline location at mean sea level each year. The dataset is hosted by the Australian Ocean Data Network.
A marine model simulation quantifies the dispersal of the pesticide diuron in the Great Barrier Reef from January 2016 to July 2018. The model from the Australian Ocean Data Network uses a 1 km resolution grid nested inside a 4 km model, forced by hydrodynamics from wind, tides, and waves. It incorporates freshwater input from 16 rivers and simulates diuron loads from agricultural and urban runoff.
Sampling data from a stable climate simulation using a realistic General Circulation Model (GCM) with neural network parameterizations. The data includes large-scale specific humidity and temperature, their advection rates, and heating and moistening rates from a cloud-resolving model, alongside surface and top-of-atmosphere radiative fluxes. The dataset was created by Xin Wang of Tsinghua University and represents a full year of simulation for 1998.
A global impervious surface area dataset at 10-meter resolution documents human footprints for climate and urban studies. It was produced by Xin Huang of Wuhan University using over 2.7 million Sentinel images and 58 million training samples derived from satellite maps and OpenStreetMap. The dataset achieved an overall accuracy greater than 86% on independent test samples.
1494 buses and 2156 lines model the continental European transmission network, integrated with hourly load, wind, and solar capacity factors for three years. Synthetic forecasts for wind and solar production are provided every 12 hours for a 91-hour horizon, based on numerical weather prediction models. The dataset includes technical and economic specifications for 969 real-world generators and offers two distinct capacity layouts for scaling renewable generation.
The Titan Seasonally Varying Radiative Species (SVRS) dataset provides trace gas abundances and aerosol opacity data for Saturn's moon Titan. It was created by Nicholas A. Lombardo of Yale University by interpolating measurements from individual Cassini flybys. The dataset includes abundances for seven trace gases and haze opacity across infrared, visible, and ultraviolet spectral windows on a 2° latitude, 5° Ls grid.
High-frequency measurements of temperature, electrical conductivity, dissolved organic carbon (DOC), spectral CDOM absorption, stable water isotopes, and major ions in Lena River water from April 2018 to April 2019. The dataset was collected by Bennet Juhls of the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung as part of a new monitoring program based at Samoylov Island. It provides a baseline for assessing intra-annual trends and future changes in Arctic river biogeochemistry.
Sensitivities of PM2.5-related premature deaths in Europe to six key anthropogenic emissions were calculated for 2015. The data includes simulated annual mean PM2.5 exposure and related premature deaths from a base simulation and a sensitivity experiment. All data were generated by Yixuan Gu at the University of Colorado Boulder using the GEOS-Chem model and its adjoint.
Global-scale spatial distributions and profiles of stratocumulus and cumulus clouds. The data was generated by applying a discrimination algorithm to active-sensor observations from the CALIPSO and CloudSat-CALIPSO combined satellite missions. The dataset, created by G Cesana of Columbia University, enables evaluation of shallow convection and boundary layer clouds in climate models.
A seabed mapping survey over carbonate banks, channels, and sediment plains on the Van Diemen Rise collected detailed geological and biological data. The survey includes 1,154 square kilometres of multibeam sonar data and 340 line-km of sub-bottom profiles, supplemented by samples from 63 stations. It was conducted by Geoscience Australia and the Australian Institute of Marine Sciences to investigate the region's late-Quaternary evolution and biodiversity.
51 plankton types, including pico-phytoplankton, coccolithophores, diazotrophs, diatoms, mixotrophs, and zooplankton, are modeled annually from 1991 to 2100. The data represents depth-integrated carbon biomass in mmol C/m², generated by an earth system model from the Massachusetts Institute of Technology. This model output was used in studies on abrupt plankton community shifts and future phytoplankton diversity published in Science Advances and Nature Communications.
2000-2021 estimates of global wetland methane emissions simulated by the LPJ-wsl model. The data includes two estimates based on different climate inputs: ground-based monthly observations from the Climatic Research Unit and daily reanalysis data from MERRA2. This dataset was created by Zhen Zhang and colleagues to support research on wetland methane feedback.
Two regional estimates of wetland methane emissions simulated by the LPJ-wsl model for 2000-2021, based on different climate forcing datasets. The dataset compares ground-based CRU observations with reanalysis-based MERRA2 data. Zhen Zhang from the University of Maryland, College Park created this data, which is referenced in peer-reviewed publications from 2017 and 2018.
Monthly averaged atmospheric and surface variables from a 44-year regional climate model simulation over Antarctica. The hydrostatic RACMO2.3p2 model, forced by ERA5 reanalysis data, runs at a 27 km horizontal resolution with 40 vertical levels and includes specialized physics for polar snow processes. This dataset is provided on a rotated polar coordinate grid, which offers accurate calculations but presents a known challenge for reprojection onto standard grids.
A paper by John P. Weyant of Stanford University reviews applications of benefit-cost analysis in climate policy assessment at U.S. national and global scales. It describes three main quantitative models used for calculating optimal global carbon policies and the social cost of carbon, summarizing a broad range of results. The paper concludes by discussing five key challenges facing practitioners in this field.
36 years of precipitation data from 1981 to 2016 for the Upper Brahmaputra River Basin, with a 3-hour temporal resolution and 5 km spatial resolution. The dataset integrates five reanalysis and satellite products with ground observations from 9 CMA meteorological stations and 166 MWR rain gauges. Yuanwei Wang from the Chinese Academy of Sciences created this dataset to support hydrological and climate studies.
The AC&C/SPARC ozone dataset is provided on pressure levels between 1000-1 hPa, with an extrapolation method described for use in high-top models up to ~0.01 hPa. The UK National Centre for Atmospheric Science produced this updated version using a multiple-linear regression on historical data, representing ozone as a function of solar and EESC indices. Author Scott Osprey from the University of Oxford contributed this dataset for climate modeling.
Three 3D velocity models for P-wave, S-wave, and Vp/Vs ratio produced by the FMTOMO tomography algorithm for the Nabro volcano caldera in Eritrea. The models are accompanied by a relocated earthquake catalogue containing hypocenter locations and errors. The data originates from seismic waveforms collected by the Nabro Urgency Array and was produced by researchers at the University of Oxford in 2023.