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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
28,268 datasets
NASA's MISR instrument provides a global statistical summary of top-of-atmosphere radiance and albedo. Data is averaged monthly on a 0.5-degree geographic grid, derived from nine cameras viewing Earth at multiple angles. This Level 3 product is produced by the LARC_CLOUD organization from ongoing satellite observations.
A daily statistical summary of top-of-atmosphere radiance parameters, gridded at a 0.5 by 0.5-degree geographic resolution. The data is produced by NASA's Multi-angle Imaging SpectroRadiometer (MISR) instrument, which collects ongoing measurements from nine cameras at four spectral bands. It provides a global overview of Bidirectional Reflectance Factors and spectral expansive albedos for atmospheric and surface analysis.
GOME-2 instruments on three MetOp satellites provide global atmospheric water vapor total column measurements using solar backscatter spectroscopy in the 614-683.2 nm range. DLR generates these operational level 2 products via the UPAS processor for the EUMETSAT AC-SAF. Near-real-time data is available within two hours of satellite sensing.
METOP GOME-2 data provides global measurements of tropospheric nitrogen dioxide (NO2) concentrations, a key air pollutant. The dataset is generated by DLR for EUMETSAT's AC-SAF using the GOME Data Processor algorithm on observations from three MetOp satellites launched between 2006 and 2018. Measurements are available in near-real-time, approximately two hours after satellite sensing.
Global Ozone Monitoring Experiment-2 (GOME-2) instruments on three MetOp satellites provide near-real-time atmospheric sulfur dioxide (SO2) total column data. The dataset is generated operationally by DLR for EUMETSAT's AC-SAF, with products available within two hours of satellite sensing. Monitoring began with MetOp-A in 2006, followed by MetOp-B in 2012 and MetOp-C in 2018.
Three GOME-2 instruments on MetOp-A, -B, and -C satellites provide global ozone distribution data, cloud properties, and ultraviolet radiation intensities. DLR generates these operational level 2 products for EUMETSAT's AC-SAF, with near-real-time data available within two hours of sensing. The dataset continues a long-term atmospheric trace gas monitoring series initiated by earlier instruments.
GOME-2 instruments on three MetOp satellites monitor global atmospheric trace gases, with emphasis on ozone and nitrogen dioxide. DLR generates operational level 2 products, including total NO2 columns retrieved via the DOAS method from solar back-scattered measurements. Near-real-time data is available within two hours of sensing.
METOP GOME-2 Formaldehyde data provides global measurements of atmospheric HCHO total columns, a key indicator of pollution and volatile organic compound activity. The dataset is generated by the German Aerospace Center (DLR) for EUMETSAT's AC-SAF using the GOME Data Processor algorithm. Observations are available from three MetOp satellites launched in 2006, 2012, and 2018, with near-real-time products delivered within two hours of sensing.
GOME-2 instruments on MetOp-A, -B, and -C satellites provide global cloud fraction measurements derived from the Optical Cloud Recognition Algorithm (OCRA). The dataset supports monitoring atmospheric trace gases, with an emphasis on global ozone distributions, and includes retrieved cloud-top pressure and cloud optical thickness. Operational level 2 products are generated by DLR for EUMETSAT's AC-SAF, with near-real-time data available within two hours of sensing.
MetOp GOME-2 instruments provide global atmospheric trace gas data, with emphasis on ozone distributions and Bromine Monoxide (BrO) total columns. The dataset is generated by DLR for EUMETSAT's AC-SAF using the GDP 4.x algorithm within the UPAS processor. Near-real-time products are available approximately two hours after satellite sensing.
Meteorological data is collected from over 110 automated monitoring stations across all 77 Oklahoma counties. The network, operated by Oklahoma State University and The University of Oklahoma, records parameters like air temperature, humidity, wind, and soil moisture at 5-minute intervals. The research-quality archive contains nearly 100% of possible observations since its commissioning in March 1994.
M2T3NPODT provides 3-hourly time-averaged assimilations of ozone tendencies across 42 pressure levels from NASA's MERRA-2 reanalysis. The dataset covers the period from 1980 to the present, produced by NASA's Global Modeling and Assimilation Office using the GEOS 5.12.4 model. Data fields include total ozone analysis tendency and tendencies due to chemistry, moist processes, and dynamics.
73 model layer edges provide vertical coordinate data, including edge pressure and edge heights, for the NASA MERRA-2 global atmospheric reanalysis. This 3-dimensional, 3-hourly time-averaged collection is produced by NASA's Global Modeling and Assimilation Office using the GEOS 5.12.4 model. The dataset covers the period from 1980 to the present, with data available every three hours starting from 01:30 UTC.
MERRA-2 tavg3_3d_mst_Nv provides 3-hourly time-averaged, 3-dimensional assimilated diagnostics for atmospheric moist processes. The NASA Global Modeling and Assimilation Office produced this data collection using the GEOS 5.12.4 model, covering the period from 1980 to the present with a latency of approximately three weeks.
NASA's MERRA-2 global atmospheric reanalysis provides 3-hourly time-averaged data on moist processes diagnostics across 42 pressure levels. The dataset covers the period from 1980 to the present, with a latency of approximately three weeks. It is produced by NASA's Global Modeling and Assimilation Office using the GEOS version 5.12.4 model.
MERRA-2 provides a global 3-dimensional atmospheric reanalysis from 1980 to the present. NASA's Global Modeling and Assimilation Office produced this dataset using the GEOS model, offering 3-hourly time-averaged data on moisture processes at 73 model layer edges.
MERRA-2 provides a 3-dimensional, 3-hourly time-averaged reanalysis of the global atmosphere from 1980 to the present. NASA's Global Modeling and Assimilation Office produced this dataset using the Goddard Earth Observing System Model version 5.12.4. Data fields include air temperature, wind components, water vapor, and vertical pressure velocity across 72 model layers.
MERRA-2 provides hourly time-averaged radiation diagnostics, including surface albedo, cloud area fraction, and top-of-atmosphere longwave flux. NASA's Global Modeling and Assimilation Office produced this reanalysis using the GEOS model version 5.12.4. The dataset covers the period from 1980 to the present, with data time-stamped at the central hour (e.g., 00:30 UTC).
MERRA-2 M2T1NXOCN provides hourly time-averaged ocean surface diagnostics from 1980 to the present. NASA's Global Modeling and Assimilation Office produced this data using the GEOS 5.12.4 model. The collection includes variables like sea surface temperature and latent energy flux, with data timestamped at the central time of each hour.
Hourly time-averaged data from 1980 to present provides assimilated diagnostics for carbon monoxide and ozone. NASA's Global Modeling and Assimilation Office (GMAO) produced this collection using the GEOS 5.12.4 model as part of the MERRA-2 reanalysis project.