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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
25,099 datasets
MYD13A1 Version 6 provides 500-meter resolution global vegetation indices, including NDVI and EVI, derived from MODIS/Aqua satellite data. The dataset includes four reflectance bands and quality assurance layers, synthesized from the best pixel over 16-day periods. NASA produced this collection, which was decommissioned in July 2023 in favor of the corrected Version 6.1.
MODIS/Aqua Vegetation Indices 16-Day L3 Global 250m SIN Grid V006 is a decommissioned NASA satellite product providing global vegetation data every 16 days. It offers two primary indices, NDVI and EVI, alongside reflectance bands and quality assurance layers at 250-meter spatial resolution. The dataset is generated by the National Aeronautics and Space Administration from Aqua satellite MODIS sensor observations.
A 2019 review article from Nature Communications summarizes progress in deciphering the geological record of Antarctic ice shelves. The article, authored by Smith et al., discusses advances in dating methods and proxies for reconstructing past ice-shelf changes. It is hosted by the Australian Ocean Data Network and was last updated in June 2026.
Major ions data tracks key chemical constituents in precipitation, including chloride, nitrate, sulfate, ammonium, sodium, potassium, calcium, and magnesium. The dataset, managed by Environment and Climate Change Canada, also includes pH and precipitation depth measurements collected by provincial, national, and bi-national networks using wet-only collectors. Measurement periods vary between 24-hour and weekly cycles depending on the network.
Difference from Normal Temperature values are computed by subtracting the 1991-2020 normal monthly average temperature from the average monthly temperature. The National Agroclimate Series of Derived Indicators (NASDI) from Agriculture and Agri-Food Canada provides real-time and historical agroclimatic variables for Canadian agricultural regions. Data is available in formats including PDF, GEOTIF, and ESRI REST.
Coastal Louisiana's Atchafalaya River and Terrebonne Basins are covered by this dataset, which provides high-resolution estimates of total suspended solids (TSS) concentration and turbidity derived from NASA's AVIRIS-NG airborne spectrometer. The data, produced by NASA's Delta-X campaign in 2021, uses a validated partial least squares regression model applied to imagery from spring and fall collections. It includes gridded water quality estimates and supporting regression coefficients to analyze sediment patterns influencing delta resilience.
26 longwave and 11 shortwave radiative parameters are derived from satellite and reanalysis inputs for the GEWEX Surface Radiation Budget Project. The dataset provides all-sky, clear-sky, and pristine-sky fluxes at the surface, tropopause, 200hPa, 500hPa, and Top of Atmosphere, with temporal coverage from July 1983 to June 2017. Data products are available at 3-hourly, daily, and monthly resolutions, with separate land-only and ocean-only versions for specific periods.
Environment Canada's Precipitation Occurrence Sensor System (POSS) dataset contains ground validation measurements for the Global Precipitation Measurement (GPM) mission. Data was gathered during the GPM Cold-season Precipitation Experiment (GCPEx) in Ontario, Canada, from January 15 to March 1, 2012. The National Aeronautics and Space Administration (NASA) is the organizing institution for this dataset.
Ontario, Canada hosts this dataset from the GPM Cold-season Precipitation Experiment (GCPEx), which collected ground validation data to improve satellite-based snowfall retrieval algorithms. The dataset contains brightness temperature measurements from a dual-polarization radiometer at 90 GHz and 150 GHz frequencies. It was produced by NASA and is available on multiple government data platforms.
Meteorological tower data provides temperature, relative humidity, 10 m winds, pressure, and solar radiation measurements collected at a 10-meter tower during the GPM Cold-season Precipitation Experiment (GCPEx). The dataset was gathered by NASA over the Ontario region of Canada to address shortcomings in the GPM satellite snowfall retrieval algorithm. Observations were made from January 15 through March 1, 2012, using an Automated Transportable Meteorological Observation Station.
NCAR LSM 1.0 is a land surface model developed by Gordon Bonan to simulate biogeophysical and biogeochemical land-atmosphere interactions. It is designed for coupling with atmospheric models or for stand-alone use with provided forcing data, operating on spatial grids from a single point to global scale. The model provides a computationally efficient, simplified treatment of surface fluxes to capture essential characteristics for climate simulations.
NASA's regional oceanographic datasets provide hourly state estimates from the global MITgcm LLC4320 simulation, a high-resolution ocean model with a 2km nominal horizontal grid and 90 vertical levels. The data includes three-dimensional variables like temperature, salinity, and velocity, and two-dimensional surface variables such as sea level anomaly and heat flux. These regional extracts focus on specific areas including the Bass Strait, Labrador Sea, and Northeast Weddell Sea.
West African and Cape Verde Islands atmospheric profiles collected during the 2006 NASA African Monsoon Multidisciplinary Analyses campaign. The dataset contains vertical column measurements from GPS-located dropsondes deployed from a DC-8 aircraft. It was created to characterize African Easterly Waves and Mesoscale Convective Systems and their impacts on regional water and energy budgets.
Daily global satellite measurements provide total and tropospheric nitrogen dioxide columns at a 0.25x0.25 degree grid resolution. The data product is derived from pixel-level observations binned and averaged, focusing on sky conditions with cloud fraction below 30 percent. Nitrogen dioxide is a key indicator of air pollution and plays a role in both tropospheric ozone production and stratospheric ozone chemistry.
OMNO2d provides daily global maps of nitrogen dioxide (NO2) concentrations at a 0.25x0.25 degree spatial resolution. The Level-3 gridded product contains total column and tropospheric column NO2 data, specifically for sky conditions with cloud fractions below 30 percent. This satellite-derived data is an indicator of air pollution from combustion and lightning, relevant for atmospheric chemistry and air quality monitoring.
A 2026 study by Nagara Wakgari Futasa analyzed water samples from eight boreholes at Haramaya University in Ethiopia. The dataset likely contains concentrations of calcium, magnesium, bicarbonate, chloride, and sulfate, as well as indices for scaling and corrosion potential. The analysis selected Reverse Osmosis as the suitable centralized softening technology for the university.
Integrated Hydrological Units define geographical reference units for hydrological purposes across the United Kingdom. The web map service contains five hierarchical polygon layers representing Hydrometric Areas, Groups, Sections, and Catchments, with naming conventions based on major river flows. Government Digital Service provides this data, which covers Great Britain and Northern Ireland at the coarsest level, but excludes Northern Ireland from detailed layers due to a lack of suitable river geometry data.
Pre-LBA Rondonia Boundary Layer Experiment (RBLE) data contains atmospheric measurements from three campaigns in Ji-Parana, Brazil. The data likely contains temperature, humidity, and wind profiles from radiosondes, focusing on differences between forested and deforested (pasture) areas during the dry season. This dataset supports research into land-atmosphere interactions and climate modeling for the Amazon region.
Daily Level-3 gridded atmospheric data provides a 0.5-degree latitude/longitude resolution. The SiFSAP algorithm retrieves geophysical parameters for each sounder Field of View, yielding 3-times higher horizontal spatial resolution and 9-times denser products than standard IR sounder products. Variables likely include atmospheric temperature and water vapor profiles, ozone, cloud properties, and surface temperature.
Soil moisture and temperature data have been collected at 30-minute intervals from wireless sensor installations across sites in the United States and New Zealand since 2021. The SoilSCAPE network, operated by NASA, provides high temporal resolution in-situ measurements from probes installed at depths up to 75 cm. This dataset supports the validation of satellite-based soil moisture estimates from missions like SMAP and CYGNSS.