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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,655 datasets
Mohamed M. Hassona's dataset provides monthly weather parameters, including temperature, precipitation, relative humidity, and soil conditions. It covers the Belbies city site (BCS) and the Sadat city site (SCS) during the 2018–2019 and 2019–2020 growing seasons. The data is stored in an XLS file sized at 25.5 KB.
Unusual mid-water and bottom-water methane plumes, between 80 and 100 meters thick, were measured in the Ragay Gulf, Philippines. The dataset includes vertical distribution profiles and sea-air flux estimates from nine sampling locations. It was contributed by the Australian Ocean Data Network and was last updated in April 2026.
Vertical methane distribution data characterizes unusual mid-water and bottom-water plumes, 80 to 100 meters thick, within the Ragay Gulf of the Philippines. The dataset includes average methane supersaturation of 206±16.5% in surface waters and estimated sea-air flux rates. Measurements were collected by the Australian Ocean Data Network and last updated in April 2026.
Data from the Michelson Interferometer for Global High-resolution Thermospheric Imaging (MIGHTI) instrument on the ICON satellite. It measures atmospheric temperature in the lower thermosphere by sampling the molecular oxygen A-band at five specific wavelengths (754.1 nm, 760.0 nm, 762.8 nm, 765.2 nm, and 780.1 nm) using a cooled CCD detector. The dataset is produced by the National Aeronautics and Space Administration and was last updated in March 2026.
NASA's ICON MIGHTI instrument measures horizontal wind speed and direction in the thermosphere using Doppler spectroscopy. The dataset is produced by combining line-of-sight observations from two perpendicular fields of view (A and B) to determine the wind vector, and includes temperature measurements derived from molecular oxygen A-band spectra. The data was last updated on 2026-03 13.
NASA's ICON satellite MIGHTI-A instrument provides measurements of horizontal wind speed and direction in the Earth's thermosphere. The instrument uses Doppler spectroscopy on atomic oxygen emissions at 630.0 nm and 557.7 nm to derive winds and photometry of the molecular oxygen A-band around 762 nm for temperature. Data from this viewing direction, combined with a perpendicular view from MIGHTI-B, allows for the reconstruction of the full wind vector.
Temperature data for the lower thermosphere derived from spectral shape measurements of the molecular oxygen A-band around 762 nm. The dataset is produced by the Michelson Interferometer for Global High-resolution Thermospheric Imaging (MIGHTI) instrument on NASA's ICON satellite, using five specific filter wavelengths to isolate the signal. The data was last updated on the platform in March 2026.
The MIGHTI instrument on NASA's ICON satellite measures horizontal wind vectors in Earth's thermosphere. It uses two perpendicular fields of view to observe Doppler shifts in atomic oxygen emission lines at 557.7 nm (green) and 630.0 nm (red), and measures temperature via the molecular oxygen A-band around 762 nm. Data is collected by a single cooled CCD detector, with periodic on-board calibration for thermal drift.
The MIGHTI instrument on the ICON satellite measures horizontal wind vectors in Earth's thermosphere. It uses two perpendicular fields of view (MIGHTI A and B) to observe Doppler shifts in atomic oxygen emissions at 630.0 nm and 557.7 nm wavelengths, combined with temperature measurements from the molecular oxygen A-band around 762 nm. Data is collected by the National Aeronautics and Space Administration, with metadata last updated in March 2026.
The MIGHTI-B instrument on the ICON satellite measures horizontal wind vectors and temperature in Earth's thermosphere. It uses Doppler spectroscopy on atomic oxygen emissions at 630.0 nm and 557.7 nm and photometry on the molecular oxygen A-band around 762 nm. The dataset is produced by the National Aeronautics and Space Administration and was last updated in March 2026.
The MIGHTI instrument on the ICON satellite measures horizontal wind speed and direction in the thermosphere. It uses Doppler Asymmetric Spatial Heterodyne (DASH) spectrometers to detect atomic oxygen emissions at 630.0 nm and 557.7 nm for wind, and the molecular oxygen A-band around 762 nm for temperature. This dataset is produced by the National Aeronautics and Space Administration and was last updated in March 2026.
March–May 2016 data acquisition campaign collected marine geophysical data from the Lord Howe Rise region. The dataset includes a 680 km east-west seismic refraction profile with ~100 ocean-bottom seismometers, ~600 km of 2D seismic reflection data, and multibeam bathymetry, gravity, and magnetic data. It was acquired by JAMSTEC and Geoscience Australia and presented at a 2016 scientific meeting.
A 680-kilometer east-west seismic refraction profile and approximately 600 km of high-resolution 2D reflection data were collected aboard the R/V Kairei in 2016. The dataset, acquired by JAMSTEC and Geoscience Australia, includes multibeam bathymetry, gravity, and magnetic data to study the structure of this continental ribbon. Preliminary results from the 2016 Seismological Society of Japan meeting image rift-fill sediments and basement across several basins.
Precipitation data were collected by two Micro Rain Radar (MRR) instruments during the International Collaborative Experiments for Pyeongchang 2018 Olympic and Paralympic Winter Games (ICE-POP) field campaign in South Korea. The dataset covers the period from November 1, 2017, to March 1, 2018, and was produced by the GHRC DAAC as part of the Global Precipitation Measurement mission's Ground Validation efforts. Its primary objectives were to study severe winter weather in complex terrain and improve short-term forecasting and satellite precipitation estimates.
April 22 to October 17, 2014 data from the Integrated Precipitation and Hydrology Experiment (IPHEx) in western North Carolina. The dataset contains vertically pointing Doppler radar measurements from four Micro Rain Radars (MRRs) capturing vertical velocity, drop size distribution, rainfall rate, and reflectivity. It was produced by the GHRC DAAC for ground validation of the Global Precipitation Measurement (GPM) mission.
Raindrop measurements collected by a Two-Dimensional Video Disdrometer at NASA's Wallops Flight Facility in Virginia. This dataset provides detailed properties including size, fall speed, shape, and derived precipitation metrics for ground validation of the Global Precipitation Measurement mission. Data are available in ASCII format from July 24, 2013, to October 5, 2015, and are managed by the GHRC DAAC.
May 6 to June 16, 2014 data contains vertical profiles of attenuated backscatter, cloud base height, and boundary layer height from a Vaisala CL51 ceilometer. This dataset was collected during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina to validate satellite precipitation measurements. It is managed by the NASA GHRC DAAC and originates from the ACHIEVE mobile laboratory.
GoLIVE provides a global compilation of ice velocity measurements derived from Landsat 8 panchromatic images. The dataset covers all terrestrial permanent ice masses larger than 5 km² between 82°S and 82°N, with monthly updates and velocity grids generated at a 300-meter sample spacing. It is produced by the NSIDC using an image correlation algorithm on satellite image pairs.
GPM Ground Validation Autonomous Parsivel Unit (APU) LPVEx dataset provides in-situ rainfall data for satellite algorithm validation. The dataset was collected by the GHRC DAAC during the Light Precipitation Validation Experiment at four sites in Finland over September and October 2010. It contains measurements from autonomous Parsivel units to support the Global Precipitation Measurement mission.
Meteorological measurements from the SMEAR III Kumpula Mast in Helsinki, Finland, collected during the GPM Light Precipitation Validation Experiment (LPVEx). The dataset includes temperature, radiation, and wind data from September 17 to October 21, 2010, supporting satellite algorithm validation for high-latitude light rainfall. It is managed by the GHRC DAAC under NASA's Global Precipitation Measurement mission.