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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,190 datasets
Himawari-8 satellite sea surface temperature data from July 2015 to September 2017 was used to map the East Australian Current. The study applied a Topographic Position Index method to analyze the current's meanders, eddies, and seasonal encroachment patterns. This dataset was published in the Journal of Geophysical Research: Oceans in 2020 by Xie et al.
20 days of continuous underway data were collected by the Marine National Facility RV Investigator voyage IN2025_V03 between April 29 and May 18, 2025. The dataset includes navigation, thermosalinograph water properties, and atmospheric measurements, processed and archived by CSIRO NCMI IDC. Data are available at intervals from 5 seconds to 5 minutes in NetCDF and ASCII formats.
A subset of point locations representing features under Western Australia's State Planning Policy 2.9 Water, published by the Department of Planning, Lands and Heritage. The policy and its accompanying Planning for Water Guidelines became operational on 18 December 2025 to ensure development considers water resource management. This geospatial dataset is intended to be used in conjunction with a main policy dataset.
Surface water flood hazard maps for Scotland model three probability scenarios: a high-probability 10-year return period event, a medium-probability 200-year return period event, and a low-probability scenario combining a 200-year event with a UKCP09 high-emissions climate projection for the 2080s. The maps, where available, show flood extent, depth, and velocity. The scenarios are designed for consistency with Scottish Planning Policy and to reflect observed events from recent decades.
Scottish Government SpatialData.gov.scot provides surface water flood hazard maps for Scotland. The dataset models flood extent, depth, and velocity for three probability scenarios: a high-probability 10-year event, a medium-probability 200-year event, and a low-probability 200-year event combined with a UKCP09 high-emissions climate projection for the 2080s. These maps are designed for consistency with Scottish Planning Policy and reflect observed flood events from recent decades.
United Kingdom river flood hazard maps model flood extent, depth, and velocity for three probability scenarios. The data incorporates a future climate change scenario based on UKCP09 high emissions predictions for the 2080s. These maps are aligned with return periods referenced in Scottish Planning Policy.
Three probability scenarios for river flooding are mapped: a high-probability 10-year return period, a medium 200-year return period, and a low 1000-year return period plus a 200-year event with climate change. The maps show flood extent, depth, and velocity where available, using the UKCP09 high emissions scenario for the 2080s. These hazard layers are designed for consistency with Scottish Planning Policy and reflect observed events from recent decades.
UKCP09 climate projections for the 2080s inform low-probability flood scenarios in this geospatial dataset. Surface water hazard maps likely contain flood extent, depth, and velocity data for three distinct probability events. The data is structured for consistency with Scottish Planning Policy return periods.
Coastal flood hazard maps for Scotland model three distinct probability scenarios, including a 200-year return period adjusted for a high-emissions climate change projection for the 2080s. The maps likely contain flood extent and depth information, supporting risk assessment and planning. Data is provided by the Scottish Government and is available on multiple platforms, indicating its established use.
Scottish coastal hazard maps detail flood extent and depth for three probability scenarios. The data uses UK Climate Projection 2009 (UKCP09) high emissions predictions for the 2080s to model climate change impacts. Medium and low probability events align with Scottish Planning Policy return periods, while the high probability reflects recent observed events.
Scottish Government SpatialData.gov.scot provides coastal flood hazard maps for Scotland. The dataset models flood extent and depth for three probability scenarios: a 10-year, a 200-year, and a 1000-year return period, plus a 200-year event with a UKCP09 high-emissions climate change projection for the 2080s. These maps are designed for consistency with Scottish Planning Policy and reflect observed historical events.
Scottish Government data provides surface water flood hazard maps for three probability scenarios. The maps likely contain flood extent, depth, and velocity bands, modeled using UKCP09 climate projections for the 2080s. This data is designed for consistency with Scottish Planning Policy and reflects observed flood events.
River flood hazard maps for Scotland model flood extent, depth, and velocity under multiple probability scenarios. The data includes a high-probability 10-year return period, a medium 200-year return period, and a low 1000-year return period, plus a future climate change scenario for the 2080s based on UKCP09 high emissions predictions. These maps are designed for consistency with Scottish Planning Policy and reflect observed flood events from recent decades.
Three coastal flood probability scenarios are mapped: a 10-year high-probability event, a 200-year medium-probability event, and a 1000-year low-probability event. These maps, produced by the Scottish Government, also include a climate change scenario for the 2080s based on the UKCP09 high emissions 95th percentile predictions. The data likely contains flood extent and depth information to support planning and risk assessment.
East Antarctica's Mertz Glacier region was surveyed in January 2011 aboard the RSV Aurora Australis following a major calving event. The dataset comprises over 1800 high-resolution still images of the sea floor from 75 successful camera deployments, capturing benthic community composition and substrate type. This imagery provides a benchmark for monitoring physical, chemical, and biological changes in the Antarctic marine environment.
Compiled monitoring data from June 2002 supports investigating flow-algal relationships in two Australian river systems. This dataset integrates phytoplankton counts, taxonomic inventories, and associated water quality and hydrological observations. The NSW Department of Climate Change, Energy, the Environment and Water compiled this extract from multiple monitoring programs.
An interactive tool provides the first early warning system for coral disease outbreaks, specifically white syndrome. The data consists of color-graded images mapping outbreak likelihood as high or low for northern Australia each summer from 2002 onward. These images are based on retrospective calculations of summer rates of temperature increase from high-resolution remotely sensed temperature data, developed by Maynard and Willis in 2009.
Experimental and field data from the Australian Institute of Marine Science investigating the combined impacts of water quality and climate change stressors on coral reef organisms. The project ran from 2011 to 2014, focusing on species like corals, crown-of-thorns starfish, and sea urchins. It was aggregated by the Australian Ocean Data Network.
Phytoplankton Colour Index data from the Australian Continuous Plankton Recorder survey, a joint project of CSIRO and the Australian Antarctic Division. The survey aims to map plankton biodiversity, develop a long-term baseline for Australian waters, and document changes in response to climate change. Data is stored and made interoperable through the Integrated Marine Observing System (IMOS) and accessible via the Australian Ocean Data Network portal.
Wedgetail Flux Data 2026_v1 contains flux tower measurements of energy and mass exchange between the surface and the atmosphere. Data were processed using PyFluxPro and ONEFlux software to produce a final gap-filled product with Net Ecosystem Exchange partitioned into Gross Primary Productivity and Ecosystem Respiration. The dataset is from a tower installed in July 2024 on a sedgeland in Tasmania's Silver Plains Reserve.