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Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring
26,228 datasets
Global daily white-sky albedo data for MODIS band 6, produced at a 30 arc second (1,000 meter) resolution. The National Aeronautics and Space Administration (NASA) generates this product using 16 days of Terra and Aqua MODIS observations, temporally weighted to the ninth day. This dataset was decommissioned on July 31, 2023, with users directed to the Version 6.1 product.
MCD43D59 Version 6.1 is a daily global white-sky albedo dataset for the visible broadband, produced by NASA using 16 days of Terra and Aqua MODIS data. The Climate Modeling Grid product has a 30 arc second (approximately 1,000 meter) resolution and is temporally weighted to the ninth day of the 16-day observation period. Users are directed to consult the provided user guide and known issues website for quality assessment and application guidance.
The National Air Quality Cooperation Programme (NSL) contains measures to ensure compliance with European limit values throughout the Netherlands. Monitoring began in 2010 using a Monitoring Tool to track air quality development and the implementation of measures. The limit value for nitrogen dioxide (NO2) is 40 µg/m³, and for particulate matter (PM10) it is 40 µg/m³ yearly average and a daily average of 50 µg/m³.
January 15 to March 1, 2012 data from the GPM Cold-season Precipitation Experiment (GCPEx) in Huronia, Canada. This dataset contains measurements from an Environment Canada FD12P sensor, combining forward scatter visibility metering with present weather detection to measure intensity and amount of liquid and solid precipitation. It was collected by the GHRC DAAC to validate satellite-based microwave sensors for detecting and estimating falling snow.
Global maps provide daily, near-real-time probabilistic assessments of rainfall-triggered landslide hazard at a 1 km x 1 km resolution. The Landslide Hazard Assessment for Situational Awareness (LHASA) version 2.0 model uses machine learning to integrate satellite precipitation data from GPM, soil moisture from SMAP, and other environmental factors. This archive contains a retrospective daily record, with a minimum data latency of 5 hours for operational nowcasting.
This dataset provides global gridded sea surface temperature (SST) data derived from NOAA's Optimum Interpolation version 2 (OIv2) analysis. It includes weekly and monthly SST values, a long-term monthly climatology for 1971-2000, and weekly normalized error variance fields on a 1-degree grid. The data is part of the ISLSCP II collection and has been processed with a specific land/water mask.
A 5 x 5 minute resolution binary grid delineating the Amazon and Tocantins River basins, consistent with the Large Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) study area. This dataset is an expanded version of the Costa et al. (2000) data set, provided by the National Aeronautics and Space Administration. The data is stored in ASCII GRID format.
Sea surface height anomalies from five satellite altimeter missions are cross-calibrated onto a common reference orbit to form a single homogeneous climate data record. The dataset covers a continuous period from September 1992 to the present, with updates approximately quarterly. It is produced by NASA Sea Surface Height project investigators at Goddard Space Flight Center and Jet Propulsion Laboratory.
NASA EarthData and Data.gov host the L2 Daily Solar-Induced Fluorescence dataset from the GOME-2 instrument on the MetOp-A satellite. It provides daily global land estimates of chlorophyll fluorescence at a spectral resolution of ~0.5 nm between 734 and 758 nm from February 2007 to February 2018. The data, produced by ORNL_CLOUD, includes raw and bias-adjusted SIF values, quality control flags, and ancillary information.
2013-04-01 to 2021-06-07 of daily global land observations provide Level 2 Solar-Induced Fluorescence (SIF) estimates from the GOME-2 instrument on the MetOp-B satellite. The data includes raw and bias-adjusted SIF values, quality control flags, and ancillary information at a spatial resolution of approximately 40 km x 80 km. This dataset, produced by ORNL_CLOUD, supports research into vegetation function and the global carbon cycle.
687.8 KB of scenario-based hydrological modeling results for the Paraopeba River Basin in Brazil. The data, authored by Pâmela Rafanele França Pinto and last updated in April 2026, compares water yield under current conditions (1985–2018) against a hypothetical scenario with no anthropogenic changes. Results indicate streamflow reductions of up to 33% due to urban expansion, silviculture, and water consumption.
Lumbini Province, Nepal, specifically the districts of Banke and Dang, is the focus of this dataset on post-disaster housing reconstruction. It contains data from 19 communities collected via household interviews, structural assessments, focus groups, and field observations between February and May 2024. The dataset was created by E. Hendriks to explore drivers and barriers to building flood and seismic-resistant housing.
An 8-year period from 1 April 2016 to 31 March 2024 is covered by this dataset of forcing files, model inputs/outputs, and in-situ validation measurements for coupled ecohydrological models. It supports the STEMMUS-SCOPE-MODFLOW 6 framework applied to three sites in the Netherlands: Loobos, Cabauw, and Veenkampen. The dataset was authored by M.G. Daoud and archived by DANS Data Station Physical and Technical Sciences Collection.
Osama Diab's dataset provides harmonized environmental intensity scores for 6,781 country-sector observations derived from EXIOBASE 3. It covers 13 environmental indicators across 49 countries/regions and 163 economic sectors, combining direct and supply-chain impacts. The dataset was last updated on June 10, 2026, and is hosted on Harvard Dataverse.
Gridded monthly estimates of surface ocean partial pressure of CO2 and air-sea CO2 flux for the northern Gulf of America from 2006 through 2010. The dataset was produced by NASA using MODIS/Aqua satellite imagery combined with ship-based observations and wind field data. It provides 1 km resolution maps for analyzing carbon dynamics in this coastal region.
Each 200 MB file contains geo-located spectral radiances from the 349 to 504 nm wavelength range for the day-lit portion of one orbit, approximately 60 minutes of data. The Aura Ozone Monitoring Instrument (OMI) collects this data in a standard global mode observing 60 ground pixels across its swath, with pixel sizes of 13 km x 24 km at nadir. Files are stored in HDF-EOS format, with radiance and precision stored as a 16-bit mantissa and 8-bit exponent.
Global atmospheric data is produced by the Climate Heritage AIRS Retrieval Technique (CHART) algorithm, analyzing infrared and microwave sounder data from the Suomi NPP satellite's CrIS/ATMS instrument suite. The algorithm retrieves a full atmospheric state, including surface temperature and emissivity, vertical profiles of temperature, water vapor, and ozone, cloud properties, outgoing longwave radiation, and precipitation estimates. This dataset is designed as a seamless follow-on to the AIRS/AMSU processing system, using a neural network initial guess and methodologies consistent with AIRS Version-6.6.
Suomi NPP satellite's CrIS/ATMS instruments provide 1305 infrared and 22 microwave channels for atmospheric profiling. The CHART algorithm applies cloud-clearing to 3x3 CrIS fields of view within an ATMS field of regard, deriving clear-sky radiances using a neural network initial guess and AIRS Version-6.6 methodologies. This limited edition collection contains retrieved geophysical parameters characterizing the full atmospheric state.
RSS CCMP Level 4 Version 3.1 provides a monthly-mean, near-global gridded analysis of 10-meter ocean surface winds at 0.25-degree resolution. It combines inter-calibrated satellite retrievals from U.S., Japanese, and European missions with ERA5 reanalysis background fields. The dataset includes wind speed, vector components, and anomalies, delivered as one netCDF file per month.
Gridded monthly global water storage anomalies derived from JPL GRACE and GRACE-FO satellite gravity measurements. The data consists of 4,551 independent estimates of surface mass change on an equal-area 3-degree grid, processed using a Mascon approach and a Coastal Resolution Improvement filter to reduce signal leakage. This RL06.3Mv04 version is an updated release from NASA.