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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,171 datasets
A 5x5m resolution grid shows the difference in modelled flood depths between baseline and a 20% peak flow increase scenario for a 1% annual flood chance. This dataset was produced in 2004 using the JFlow hydrodynamic model as part of a generalized modelling project to define flood zones for spatial planning in England. It covers specific 100x100km Ordnance Survey grid tiles (ST, SY) and has not been updated since its creation.
HF ocean radar data from the Coffs Harbour site in New South Wales, Australia, managed by the Australian Ocean Data Network. The radar system measures surface currents and calculates wind direction and significant wave height within a 100 km range. The site is strategically located where the East Australian Current begins to separate from the coast.
IMOS provides HF ocean radar data from the Coffs Harbour site off New South Wales, Australia. The WERA phased array system measures surface currents and calculates wind direction and significant wave height within a 100 km range. The data is hosted by the Australian Ocean Data Network and was last updated in July 2026.
Coffs Harbour, New South Wales, Australia, is the location of an HF ocean radar site monitoring the East Australian Current (EAC). The dataset provides real-time surface current measurements, with wind direction and significant wave height derivable, collected by a WERA phased array system operating at 13.920 MHz. It is managed by the Australian Ocean Data Network and was last updated in July 2026.
IMOS provides a multi-sensor Level 3 Super-collated sea surface temperature product for a one-month period. The data is derived from VIIRS and AVHRR sensors on satellites including Suomi-NPP, JPSS, NOAA, and Metop, processed onto a 0.02-degree grid. The Australian Ocean Data Network hosts this dataset, which was last updated in July 2026.
Phase 2 of the Vegetation-Ecosystem Modeling and Analysis Project contains annual model outputs from 1994 to 2100, driven by climate projections from the CCCma and Hadley Centre models. The dataset includes results from five biogeochemical cycling models and two dynamic global vegetation models, simulating plant production, nutrient cycles, succession, and fire. It is designed to evaluate terrestrial ecosystem sensitivity to altered climate and elevated atmospheric CO2.
Government statistics estimate air pollution in the UK reduces life expectancy by an average of 7-8 months, with an associated annual cost of up to £20 billion. The dataset from OpenDataNI tracks air pollution results in Northern Ireland, where quality has improved since before the Industrial Revolution due to legislation. It was last updated on 2026-07-08.
49,226 people were impacted within 50km of a magnitude 5.4 earthquake northwest of Silur, Papua New Guinea, on June 25, 2026. The dataset provides geospatial and socio-economic analysis of the event, generated by the World Food Programme's Automated Disaster Analysis and Mapping (ADAM) system. It was last updated on June 25, 2026.
Giacomo Grassi and the European Commission provide background data for harmonizing land-use CO2 flux estimates. The repository includes land-use CO2 fluxes from three Bookkeeping Models and an ensemble mean from 16 Dynamic Global Vegetation Models for 2000-2020, alongside national inventory data from UNFCCC submissions. It also contains intact forest maps and processing scripts used in the associated 2023 research paper.
EDGAR v4.3.2 provides a 43-year global inventory of CO2, CH4, and N2O emissions from all human activities except land-use change. Its bottom-up, IPCC-compliant methodology yields annual estimates for 226 countries and 0.1-degree gridmaps for each source sector. For 2010, the dataset also includes monthly gridmaps, offering higher temporal resolution for that year.
COWCLIP2.1 is the first coordinated multi-product ensemble of historical global wave climate, comprising general and extreme statistics of significant wave height, mean wave period, and mean wave direction. The dataset was produced by the Coordinated Ocean Wave Climate Project (COWCLIP) phase 2, processing data from fourteen global wave products over 1980-2014. Technical skill analysis against long-term global satellite measurements is provided.
A database compiled by the University of Queensland presents Symbiodinium clade and subclade distribution data for the Great Barrier Reef from 1998 to 2006. The data was aggregated from 18 published scientific papers as part of the MTSRF 2.5i.2 project to assess coral vulnerability to climate change. It includes classifications for clades A through I and subclades identified using DNA regions ITS1, ITS2, and 18S rRNA.
The IMOS Satellite Altimeter Calibration and Validation Sub-Facility provides in situ oceanographic measurements for validating satellite altimeters. Data includes sea surface height, significant wave height, bottom pressure, temperature, salinity, and water currents from sites in Bass Strait, the Southern Ocean, and the Great Barrier Reef. The facility has operated since 1992, contributing to missions like TOPEX/Poseidon, Sentinel-6, Sentinel-3, and SWOT.
Three decades of seagrass distribution and species composition data from the 1980s onward, compiled for the Gulf of Carpentaria and Torres Strait. The dataset was created by the NESP Marine and Coastal Hub and James Cook University (JCU) in 2021-2022 to support environmental management. It provides a spatial resource for understanding habitat changes and risks to dugong and turtle populations.
Model outputs from the ACCESS-OM2-01 ocean-sea ice model investigating Antarctic Bottom Water formation, variability, and sensitivity to resolution. The data was produced by a project associated with the Australian Ocean Data Network and was last updated in July 2026. It likely contains results from simulations analyzing interannual variability, resolution sensitivity (1/10°, 1/20°, 1/40°), and the effects of wind and meltwater changes on salinity.
Environment Agency's WFD Cycle 2 river hydrology classification dataset contains classification data for hydrological regime. The dataset uses flow, abstraction, and physical structure data to produce Ecological Quality Ratios (EQRs) for classifying water body health. This retired dataset was last updated on 2026-07-17 15:09:04.979730 and has been superseded by a newer record.
1990 to 2018 raw data from river and lake monitoring sites in Northern Ireland, collected under the Water Framework Directive. The dataset includes measurements for biological quality, hydromorphology, and physico-chemical properties like temperature and nutrients. It is provided in an unprocessed state and may contain erroneous values from sampling or contamination.
Northern Ireland's Department of Agriculture, Environment and Rural Affairs (DAERA) provides raw water quality measurements from river monitoring sites, collected from 1990 to 2018. This dataset supports the Water Framework Directive (WFD) by containing unprocessed results for parameters like pH, but it lacks Limits of Detection and may include erroneous entries. It is the first in a series of open water data sets from the Northern Ireland Environment Agency (NIEA).
Northern Ireland's raw river and lake monitoring data from 1990 to 2018, collected for Water Framework Directive compliance. The dataset contains unprocessed measurements, including nitrate levels, from monitoring sites across surface waters. It supports assessments of biological quality, hydromorphology, and physico-chemical properties like temperature and nutrients.
Monthly mean data from 1965 to 2017 for dissolved oxygen, nitrate, temperature, and salinity, interpolated to a 1-degree horizontal resolution. The data originates from a high-resolution (1/8-degree) global ocean-ice model (MOM6-SIS2) coupled with the COBALTv2 biogeochemical model, which uses 33 tracers. This dataset was produced by Cristina Schultz of Princeton University as part of a NOAA-funded project.