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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,178 datasets
An International Group for High-Resolution Sea Surface Temperature Level 4 sea surface temperature analysis, produced daily on an operational basis at the Australian Bureau of Meteorology. The Global Australian Multi-Sensor SST Analysis system blends infra-red and microwave satellite observations with in situ data from ships and buoys. The data is filtered to reduce diurnal warming effects, resulting in daily foundation SST estimates on a global 0.25 degree grid.
MTSRF Task 4.8.4s data contains basic water quality measurements from Cockle Bay Reef at Magnetic Island, collected between 2008 and 2011. The Australian Ocean Data Network hosts this dataset, which includes temperature, salinity, conductivity, dissolved oxygen, and Secchi depth readings. Data were gathered weekly to monthly using handheld instruments during shark tagging trips for a related PhD project.
Processed Underway data from Marine National Facility voyages provides continuous 5-second interval measurements across three core systems. Navigation data includes latitude, longitude, speed, and heading, while the thermosalinograph records water salinity, temperature, and fluorescence. Atmospheric sensors capture wind speed, humidity, air pressure, solar radiation, and trace gases, with quality-controlled subsets used for satellite sea surface temperature validation by the Australian Bureau of Meteorology.
ACCESS-OM2-01 ocean-sea ice model simulations investigate the interannual variability and resolution sensitivity of Antarctic Bottom Water formation. The dataset likely contains results from three projects analyzing wind effects, meltwater input, and model resolution impacts on AABW properties. Data was contributed by the Australian Ocean Data Network and last updated in June 2026.
CMIP6 historical simulation data from the Manabe Climate Model v1.0 developed at the University of Arizona. The model includes components for aerosol, atmosphere, land, land ice, ocean, and sea ice, with a nominal resolution of 250 km. These simulations provide a basis for climate research and served as a resource for the Sixth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC-AR6).
Compiled in 2009, this spatial dataset maps fields across Northern Ireland with approved authorisations for discharging hazardous substances or non-hazardous pollutants under the Groundwater Regulations (Northern Ireland) 2009. The data primarily covers authorisations for sheep dip disposal and some plant protection products to protect groundwater from pollution. It is described as a spatial layer and is being updated.
3,939 stations provide annual and monthly rainfall erosivity data, a key factor for soil erosion modeling. The European Commission's Panos Panagos led the creation of this database, which includes global monthly erosivity rasters at a 1km x 1km resolution. A 2023 publication in Data in Brief details the dataset's methodology and structure.
Huang et al. 2022 provide daily temperature-related mortality estimates for ten NUTS 1 regions of England and Wales. The data spans the period from 1900 to 2099, based on UKCP18 climate projections under RCP 2.6 and RCP 8.5 scenarios. The dataset was created by Wan Ting Katty Huang at University College London.
1850-2014 annual means from the AWI-CM3 version 3.0 model include near-surface temperature, precipitation, radiation, wind, and ocean variables. A 4xCO2 simulation covers 1850-1970, and a 1% per year CO2 increase simulation spans 1850-2010. The data was produced by Jan Streffing at the Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung.
Approximately 7,000 stations across England provide river flow, river level, groundwater, and rainfall data. The Environment Agency owns this open data, sourced from both real-time telemetry and the internal WISKI archive. Data is recorded in GMT and is subject to quality control procedures, meaning published values may change.
A dataset supporting the work by Lee et al. (2023) in the Journal of Climate. It includes Z500 climatology and anomalies, EOFs/PCs, and parameters for attributing daily weather regimes over North America from 1979 to 2022. The data also provides a Weather Regime Index (WRI) for each day, representing its standardized projection onto cluster-mean normalized Z500 anomalies.
25 cloud-free satellite images from the Chinese Gaofen-1 WFV sensor provide high-resolution (16 m) near-infrared surface reflectance over the Huailai remote sensing test site throughout 2020. The data has been processed into Analysis Ready Data (ARD), including geometric alignment, radiometric recalibration, and atmospheric correction. This dataset was generated by researchers from the Chinese Academy of Sciences to study spatial heterogeneity and ground validation uncertainty.
A harmonized emissions database was used as the infiller dataset for the IPCC AR6 Working Group III report on climate change mitigation. It contains a large set of global emissions pathways used to infer missing data for climate scenarios, ensuring comparability in climate assessments. The infilling process uses the open-source 'silicone' Python package to model relationships between concurrent emission species over time.
A sensitivity model study simulates secondary ice production processes in winter orographic clouds over the Eastern Swiss Alps. The research, led by Zane Dedekind at ETH Zurich, models a cold front passage at Gotschnagrat peak on 7 March 2019 using the COSMO model at 1 km resolution. Collisional breakup simulations caused a 1 to 3 order of magnitude increase in ice crystal number concentration compared to control runs, improving agreement with field campaign measurements.
A preliminary damage proxy product from July 2026 estimates 81,437 likely damaged buildings across the broader impacted area of the 24 June 2026 Venezuelan earthquakes. The REACH Initiative created this rapid experimental assessment using Sentinel-1 radar data and Overture Maps building footprints. It is intended to support rapid screening, prioritization, and triangulation with other damage assessments.
Environment and Climate Change Canada's data provides nutrient loading estimates to address recurrent toxic and nuisance algae in Lake Erie. The estimates are calculated using the Erie Loading Tool, a desktop application based on the 'Dolan approach' for load estimation. This data supports binational phosphorus reduction targets and nearshore water quality management.
Scottish flood hazard maps produced by SEPA under the Flood Risk Management (Scotland) Act 2009. The data shows river flood risk for high (10-year), medium (200-year), and low (1000-year) probability events, plus a 2080s climate change scenario. Maps include flood extent, depth, and velocity where appropriate.
Produced by SEPA to meet duties under the Flood Risk Management (Scotland) Act 2009, these maps show flood risk from rivers. The maps include flood extent, depth, and velocity for high (10-year), medium (200-year), and low (1000-year and 200-year plus climate change) probability events. The climate change scenario uses UKCP09 high emissions predictions for the 2080s.
Flood hazard maps for Scotland produced by SEPA to meet the Flood Risk Management (Scotland) Act 2009. The maps show flood risk from rivers, including extent, depth, and velocity for high (10-year), medium (200-year), and low (1000-year and 200-year plus climate change) probability events. The climate change scenario uses UKCP09 high emissions predictions for the 2080s.
River Flood Maps (FRM_FH_RIVER_DEPTH_L) are produced by the Scottish Government to meet SEPA's duty under the Flood Risk Management (Scotland) Act 2009. The maps show flood hazard from rivers, including extent, depth, and velocity for high (10-year), medium (200-year), and low (1000-year) probability events, plus a 200-year event with a 2080s high-emissions climate change scenario. The data is published via SpatialData.gov.scot and was last updated on 2026-07-08.