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Earth & Climate Science

Climate models, weather data, oceanography, hydrology, atmospheric science, environmental monitoring

25,040 datasets

VEMAP 2: Annual Ecosystem Model Responses to U.S. Climate Change, 1994-2100

VEMAP 2 contains annual model outputs from a major international project evaluating terrestrial ecosystem sensitivity to climate and CO2 changes. The dataset includes results from five biogeochemical cycling models and two dynamic global vegetation models, run on projected climate data from 1994 to 2100. These gridded outputs are designed for comparing ecological responses to transient climate scenarios.

TabularTime SeriesZIPEcosystem ModelingClimate Change ProjectionsBiogeochemical CyclesVegetation Dynamics+1

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Earth & Climate Science

NSW Earth Observation Data for Water Resource Management

The NSW Department of Climate Change, Energy, the Environment and Water produces remote sensing information products for water resource planning and scientific research. The team integrates satellite imagery from sources like Landsat and Sentinel with aerial imagery, in-situ data, and spatial datasets. Data processing utilizes Google Earth Engine and automated scripts to ensure timely delivery.

Time SeriesGeospatialMultimodalTextSatellite ImageryWater ResourcesEarth Observation+1

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Earth & Climate Science

Daily 1 km Surface Flow for Great Barrier Reef Catchments, 2007-2023

Hourly, 1 km resolution modelled surface flow rates from 1 Jan 2007 to 31 Dec 2023 for catchments draining to the Great Barrier Reef. The dataset was generated using the Grid-to-Grid hydrological model configured by the Bureau of Meteorology and the UK Centre for Ecology & Hydrology. It provides consistent freshwater discharge inputs for 69 river mouths to drive eReefs hydrodynamic models.

Time SeriesGeospatialGreat Barrier ReefHydrologyWater ModellingSurface FlowSynthetic+1

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Earth & Climate Science

VEMAP 2: U.S. Monthly Climate Projections to 2100

VEMAP Phase 2 provides transient climate change scenarios for the conterminous United States from 1994 to approximately 2100. These monthly projections are based on coupled atmosphere-ocean general circulation model experiments from the Canadian Climate Center and the Hadley Centre. The dataset is designed to be concatenated with historical climate data to create a continuous series from 1895 onward for modeling ecological responses.

Time SeriesGeospatialZIPMonthly ClimateAogcm ProjectionsClimate Change ScenariosTransient Climate ModelingConterminous Us+1

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Earth & Climate Science

VEMAP 2: U.S. Daily Climate Change Projections, 1994-2100

VEMAP Phase 2 provides daily transient climate change scenarios from January 1994 to approximately 2100, derived from two major atmosphere-ocean general circulation models. The dataset contains seven variables—total incident solar radiation, minimum and maximum temperature, vapor pressure, precipitation, relative humidity, and mean daily irradiance—designed to be concatenated with historical data to form a continuous series from 1895. Its primary purpose is to compare time-dependent ecological responses of biogeochemical and biogeographical models across the conterminous United States.

TabularTime SeriesZIPTransient ForcingsEcosystem ModelingDaily ClimateClimate Change ScenariosConterminous Us+1

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Earth & Climate Science

VEMAP 2: U.S. Climate Change Projections

The conterminous United States is covered by this dataset of transient climate change scenarios from 1994 to approximately 2100. It contains annual projections for variables including total incident solar radiation, minimum and maximum temperature, vapor pressure, precipitation, relative humidity, and mean monthly irradiance. These scenarios were derived from coupled atmosphere-ocean general circulation models (AOGCMs) from the Canadian Climate Center and the Hadley Centre to drive ecological models for the U.S. National Assessment.

TabularTime SeriesZIPClimate ChangeTransient ModelingEcosystem ModelingAogcm ProjectionsUs ClimateTransient Climate ScenariosClimate Scenarios+1

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Earth & Climate Science

VNP43C4: Daily Nadir-Adjusted Reflectance for Climate Models

NASA/NOAA Suomi NPP VIIRS data provides daily, global land surface reflectance modeled as if viewed from directly overhead at local solar noon. The product uses a 16-day moving window of observations and the RossThick/Li-Sparse-Reciprocal BRDF model to correct for view-angle effects across 10 spectral bands. This 0.05-degree Climate Modeling Grid dataset is designed specifically for use in global climate simulation models.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuViirsComputer VisionClimate Modeling GridBrdf AlbedoEarth ScienceNadir ReflectanceSynthetic+1

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Earth & Climate Science

USDA-ARS Bushland 15-Minute Weather Data for Crop Water Use Research

Standard Quality Controlled Research Weather Data – USDA-ARS, Bushland, Texas contains 15-minute mean weather data from a research station in Bushland, Texas. The dataset includes air temperature, relative humidity, wind speed, solar irradiance, barometric pressure, and precipitation, collected from 1989 onward and updated through 2023. It was created by Steven R. Evett and originates from research aimed at determining crop water use, growth, and yield.

TabularTime SeriesGeospatialExcelCrop Water UseAgricultural researchWeatherWeather DataSemi Arid Climate+1

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Earth & Climate Science

Permafrost Carbon Projections for RCP 4.5 and 8.5, 1901-2299

An ensemble of model projections provides monthly average diagnostic outputs for the northern hemisphere permafrost domain from 1901 to 2299. The dataset results from a Permafrost Carbon Network synthesis effort to evaluate climate change impacts on the terrestrial carbon cycle under two CMIP5 warming scenarios. Model outputs are at a 0.5 x 0.5 degree spatial resolution, using scaled climate driver data from CRUNCEP and CMIP5.

Time SeriesGeospatialZIPPermafrost CarbonRcp ScenariosClimate ProjectionsNorthern HemisphereCarbon cycle+1

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Earth & Climate Science

Glacier Snowline Altitudes in Ladakh Across Four Decades

5,729 end-of-summer snowline altitude observations derived from manual mapping of 2,257 glaciers in the trans-Himalayan region of Ladakh. The dataset, authored by Mohd Soheb, covers four periods between 1977 and 2019. It shows snowline altitudes have risen on over 85% of glaciers studied.

GeospatialClimate ChangeGlaciologySnowline AltitudeHimalayasGeospatial Analysis+1

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Earth & Climate Science

VNP43D33: VIIRS NIR BRDF Geometric Parameter for Global Climate Models

VNP43D33 provides the geometric parameter for the Bidirectional Reflectance Distribution Function (BRDF) and Albedo model at a 0.865 μm near-infrared (NIR) wavelength. This daily product is generated from 16 days of Suomi NPP VIIRS data, aggregated to a 30 arc-second (1,000 meter) Climate Modeling Grid (CMG) covering the entire globe. The geometric parameter, alongside isotropic and volumetric parameters, is used to derive surface albedo and anisotropy for climate simulation and land surface monitoring.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuLand Surface AlbedoSurface Radiative PropertiesViirsSatellite Remote SensingNear InfraredClimate Modeling GridBrdf AlbedoEarth ScienceClimate Modeling+1

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Earth & Climate Science

VNP43D30: VIIRS BRDF Geometric Parameter for Visible Broadband

Global daily data provides the geometric model parameter for the Visible (0.64 μm) broadband, derived from 16 days of Suomi NPP VIIRS observations at 1,000-meter resolution. This parameter is part of a suite used to calculate Bidirectional Reflectance Distribution Function (BRDF) and albedo values for climate simulation models. The product is formatted in a Climate Modeling Grid (CMG) and is temporally weighted to the ninth day of the 16-day observation period.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuBrdfSurface Radiative PropertiesViirsClimate Modeling GridBrdf AlbedoEarth ScienceViirs Brdf AlbedoEarth Science Surface Radiative PropertiesClimate Modeling+1

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Earth & Climate Science

VNP43D50: VIIRS/NPP BRDF/Albedo Valid Observation Band M11 Daily Global 1km

VNP43D50 Version 1 is a decommissioned NASA/NOAA Suomi NPP satellite product providing daily valid observation quality layers for VIIRS band M11. It uses 16 days of data at 30 arc-second (1,000 meter) resolution, temporally weighted to the ninth day, and is formatted in a global Climate Modeling Grid. The product is affected by known issues with aerosol flag activation that reduce high-quality BRDF inversions over arid surfaces.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuLand Surface AlbedoSurface Radiative PropertiesViirsSatellite Remote SensingClimate Modeling GridBrdf AlbedoEarth ScienceClimate Modeling+1

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Earth & Climate Science

VNP43D52: VIIRS/NPP Daily Snow Status for Global Climate Models

VNP43D52 provides a daily, global snow status layer at 30 arc-second (1,000 meter) resolution. The product is generated using 16 days of data from the Suomi NPP VIIRS sensor, temporally weighted to the ninth day, and is formatted for use in climate simulation models. Its single data layer classifies each pixel as either 'Snow-free Albedo Retrieved' or 'Snow Albedo Retrieved'.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuGlobal Climate GridSnow StatusClimate Modeling GridViirs NppBrdf AlbedoEarth Science+1

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Earth & Climate Science

VNP43D74: VIIRS/NPP White-Sky Albedo for Band M10 Daily Global Climate Grid

Daily global data from the Suomi NPP VIIRS satellite provides white-sky albedo values for the 1.61 μm (M10) band at a 30 arc-second (1,000 meter) resolution. Each daily value is produced using a 16-day data window, temporally weighted to the ninth day, and formatted for use in climate simulation models on a global Climate Modeling Grid. This product is part of a larger BRDF/Albedo suite and was decommissioned in July 2025, with users directed to newer Version 2 data products.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuLand Surface AlbedoSurface Radiative PropertiesViirsSatellite Remote SensingEarth ScienceSurface AlbedoClimate Modeling+1

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Earth & Climate Science

VNP43D73: VIIRS/NPP White-Sky Albedo for Band M8

NASA/NOAA Suomi NPP satellite data provides daily white-sky albedo for the VIIRS M8 band (1.240 μm) at 1,000-meter resolution. This product is part of a global Climate Modeling Grid suite designed for simulating Earth's climate, using a 16-day rolling window weighted to the ninth day. Version 1 of this dataset was officially decommissioned on July 31, 2025.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuLand Surface AlbedoSurface Radiative PropertiesSatellite Remote SensingEarth ScienceClimate Modeling+1

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Earth & Climate Science

VNP43D68: VIIRS White-Sky Albedo for Band M2, Daily Global 1km

Global daily white-sky albedo data at 1,000-meter resolution, derived from the Suomi NPP VIIRS sensor for the M2 band (0.445 μm). The dataset is part of a BRDF/Albedo product suite, produced daily using a 16-day temporal window weighted to the ninth day and formatted on a Climate Modeling Grid. It is designed for climate simulation models and surface radiative property studies.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuLand Surface AlbedoSurface Radiative PropertiesViirsEarth ScienceSurface AlbedoClimate Modeling+1

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Earth & Climate Science

VNP43D75: VIIRS White-Sky Albedo for Band M11

VNP43D75 Version 1 is a decommissioned NASA/NOAA Suomi NPP VIIRS data product providing daily white-sky albedo measurements for the M11 (2.25 μm) spectral band. It is generated at a 30 arc-second (1,000 meter) resolution using a 16-day temporal composite, weighted to the ninth day, and formatted on a global Climate Modeling Grid. The dataset is part of a broader BRDF/Albedo product suite designed for climate simulation models.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuLand Surface AlbedoSurface Radiative PropertiesViirsEarth ScienceSurface Albedo+1

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Earth & Climate Science

VNP43D70: VIIRS White-Sky Albedo for Band M4

VNP43D70 Version 1 is a NASA/NOAA Suomi NPP VIIRS data product providing daily white-sky albedo (WSA) for the M4 band (0.555 μm). It is generated using a 16-day rolling window at a 1,000-meter resolution on a global Climate Modeling Grid (CMG). This product was decommissioned on July 31, 2025, and users are directed to Version 2 products.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuViirsClimate Modeling GridLand Surface Radiative PropertiesAlbedoWhite Sky AlbedoClimate Modeling+1

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Earth & Climate Science

VNP43D21: VIIRS BRDF Geometric Parameter for Band M8

VNP43D21 Version 1 is a decommissioned daily satellite data product providing the Bidirectional Reflectance Distribution Function (BRDF) geometric model parameter for the VIIRS band M8 at 1.240 μm. It is produced using a 16-day rolling window of data at a 30 arc-second (approximately 1,000 meter) resolution, temporally weighted to the ninth day, and formatted for global climate modeling grids. The geometric parameter, alongside isotropic and volumetric parameters, is used to derive BRDF and albedo values for this specific near-infrared spectral band.

Time SeriesGeospatialEarth Science Surface Radiative Properties Land SuLand Surface AlbedoLand Surface AnisotropySatellite Remote SensingEarth ScienceLand Surface ReflectanceViirs BrdfEarth Science Surface Radiative Properties+1

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