Skip to main content
ORNL DAAC HomeNASA Home

DAAC Home > Get Data

Get ORNL DAAC Data

Field CampaignsField Campaigns combine ground-, aircraft-, and satellite-based measurements of biogeochemical features in specific ecosystems over multi-year time periods.
Land ValidationThe goal of the EOS Validation Program is the comprehensive assessment of all EOS science data products.
Regional/GlobalRegional and global biogeochemical dynamics data can be used to improve our understanding of the structure and function of various ecosystems.
Model ArchiveThe Model Archive provides the methodological detail in numerical modeling studies needed to ensure the long-term reproducibility of experimental results.

Field Campaigns

Field Campaigns combine ground-, aircraft-, and satellite-based measurements of biogeochemical features in specific ecosystems over multi-year time periods. These studies focus on a particular issue or set of issues and are critical to providing an integrated understanding of biogeochemical dynamics that can be extended across biomes and across both spatial and temporal scales.

The ORNL DAAC compiles, archives, and distributes data products from the following NASA-funded research projects:

Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS)

The NASA Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) investigation provided high-resolution observations of root-zone soil moisture over nine major North American biomes. The campaign goals were to quantify the impact of variations in soil moisture on the estimation of regional carbon fluxes and to extrapolate the reduced-uncertainty estimates of regional carbon fluxes to the continental scale of North America. The AirMOSS campaign used an airborne ultra-high frequency synthetic aperture radar flown on a Gulfstream-III aircraft to derive estimates of soil moisture down to approximately 1.2 meters. Extensive ground, tower, and aircraft in-situ measurements were collected to validate root-zone soil measurements and carbon flux model estimates.

Dataset List: Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS)

Arctic-Boreal Vulnerability Experiment (ABoVE)

The Arctic-Boreal Vulnerability Experiment (ABoVE) is a NASA Terrestrial Ecology Program field campaign that will take place in Alaska and western Canada between 2016 and 2021. Research for ABoVE will link field-based, process-level studies with geospatial data products derived from airborne and satellite sensors, providing a foundation for improving the analysis, and modeling capabilities needed to understand and predict ecosystem responses and societal implications.

Dataset List: Arctic-Boreal Vulnerability Experiment (ABoVE)

Boreal Ecosystem-Atmosphere Study (BOREAS)

The Boreal Ecosystem-Atmosphere Study (BOREAS) was a large-scale international interdisciplinary experiment in the boreal forests of central Canada. Its focus was improving our understanding of the exchanges of radiative energy, sensible heat, water, CO2 and trace gases between the boreal forest and the lower atmosphere. A primary objective of BOREAS was to collect the data needed to improve computer simulation models of the important processes controlling these exchanges so that scientists can anticipate the effects of global change on the biome. A BOREAS follow-on project extended and built upon the original BOREAS goal.

Dataset List: Boreal Ecosystem-Atmosphere Study (BOREAS)

Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE)

The Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE) is a NASA Earth System Science Pathfinder Mission. From 2011 to 2015, CARVE collected airborne measurements of atmospheric carbon dioxide, methane, and carbon monoxide and relevant land surface parameters in the Alaskan Arctic. Continuous ground-based measurements provide temporal and regional context as well as calibration for CARVE airborne measurements. CARVE provides an integrated set of greenhouse gas data that provides experimental insights into Arctic carbon cycling.

Dataset List: Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE)

First ISLSCP Field Experiment (FIFE)

The First ISLSCP (International Satellite Land Surface Climatology Project) Field Experiment (FIFE) project conducted field studies on a prairie site in Kansas from 1987 to 1989. Later FIFE Follow-on work included additional analyses of data collected during the initial field campaigns and additional field measurements. The objectives of both FIFE and FIFE Follow-on were to understand the biophysical processes controlling the fluxes of radiation, moisture, and carbon dioxide between the land surface and the atmosphere, and to develop remote-sensing methodologies for observing these processes.

Dataset List: First ISLSCP Field Experiment (FIFE)

Large Scale Biosphere-Atmosphere Experiment (LBA-ECO)

The Large-Scale Biosphere-Atmosphere Experiment in Amazonia (LBA) is an intensive scientific investigation of the tropical rainforest of Brazil and portions of adjacent countries. Like FIFE and BOREAS, this project uses intensive remote-sensing techniques and ground-based experiments to investigate the atmosphere-biosphere-hydrosphere dynamics of this large tropical region. The LBA Project encompasses several scientific disciplines, or components. The LBA-ECO component focuses on the question: "How do tropical forest conversion, regrowth, and selective logging influence carbon storage, nutrient dynamics, trace gas fluxes, and the prospect for sustainable land use in Amazonia?"

Dataset List: Large Scale Biosphere-Atmosphere Experiment (LBA-ECO)

Oregon Transect Ecosystem Research Project (OTTER)

The Oregon Transect Ecosystem Research (OTTER) project was a collaborative effort between NASA and several universities to study the ecology of western coniferous forests using remote sensing technology supported by ground observations. The primary objective of the OTTER project was to estimate major fluxes of carbon, nitrogen, and water in coniferous forests using an ecosystem process model.

Dataset List: Oregon Transect Ecosystem Research Project (OTTER)

Southern African Regional Science Initiative Project (SAFARI 2000)

The Southern African Regional Science Initiative (SAFARI 2000) project was an international science initiative to study the linkages between land and atmosphere processes conducted from 1999-2001 in the southern African region. In addition, SAFARI 2000 examined the relationship of biogenic, pyrogenic, and anthropogenic emissions and the consequences of their deposition to the functioning of the biogeophysical and biogeochemical systems of southern Africa.

Dataset List: Southern African Regional Science Initiative Project (SAFARI 2000)

Superior National Forest

The Superior National Forest (SNF) project was an intensive NASA experiment conducted in 1983 - 1984 in a portion of the Superior National Forest near Ely, Minnesota, U.S.A. The study area covered a 50 X 50 km area in northeastern Minnesota at the southern edge of the boreal forest. The purpose of this experiment was to investigate the ability of remote sensing to provide estimates of biophysical properties of ecosystems, such as leaf area index (LAI), biomass, and net primary productivity (NPP).

Dataset List: Superior National Forest

Land Validation

The goal of the EOS Validation Program is the comprehensive assessment of all EOS science data products. ORNL DAAC supports these assessments by compiling data such as leaf area index (LAI), and net primary productivity (NPP) for global test sites to compare with satellite-derived products. These data are unique in having ground-based observations coincident with satellite data. In addition, this information is useful to develop, calibrate, and validate ecosystem models.

The ORNL DAAC compiles, archives, and distributes data products from the following NASA-funded research projects:

Accelerated Canopy Chemistry Program (ACCP)

The Accelerated Canopy Chemistry Program (ACCP) was an investigation to determine the theoretical and empirical basis for remote sensing of nitrogen and lignin concentrations in vegetation canopies of different ecosystems. The ACCP data consist of AVIRIS images, laboratory chemical analysis of field samples, laboratory spectra and chemical analyses from several mini-canopy experiments, and canopy modeling data.

Dataset List: Accelerated Canopy Chemistry Program (ACCP)

BigFoot

The objective of BigFoot was to provide ground validation of MODLand (MODIS Land Discipline Group) land cover, leaf area index (LAI), fAPAR, and net primary production (NPP) products. The name BigFoot was selected to describe the multiple scales, or footprints, of ground validation that the project will undertake. The BigFoot study plan covered measurement, mapping, and modeling activities at four sites, each equipped with a meteorological flux tower that makes continuous measurements of energy, water, and carbon fluxes for a roughly 1-km2 footprint.

Dataset List: BigFoot

EOS Land Validation

The objective of the EOS Land Validation (Land Val) Project is to support the validation of Earth Observing System (EOS) Land Products, especially MODIS, ASTER, MISR, and LANDSAT 7. The data include in-situ and aircraft measurements for validating satellite products.

Dataset List: EOS Land Validation

FLUXNET

FLUXNET is a global network of micrometeorological tower sites that use eddy covariance methods to measure the exchanges of carbon dioxide, water vapor, and energy between terrestrial ecosystems and the atmosphere. More than 500 tower sites around the world are operating on a long-term basis. The overarching goal of the FLUXNET data collection at ORNL DAAC is to provide information for validating remote sensing products for net primary productivity (npp), evaporation, and energy absorption.

Dataset List: FLUXNET

MODIS Land Products Subsets

The goal of the MODIS Land Product Subsets project is to provide summaries of selected MODIS Land Products for the community to use for validation of models and remote-sensing products and to characterize field sites. The ORNL DAAC delivers the subsets along with interactive visualizations and the data are offered as comma separated text files and in GIS compatible format. The subset data are particularly useful in conjunction with other field data.

Dataset List: MODIS Land Products Subsets

Prototype Validation Exercise (PROVE)

The Prototype Validation Exercise (PROVE) was a mini field campaign conducted in May 1997. Three different NASA Earth Observing System (EOS) instrument teams were involved: MODIS (Moderate-resolution Imaging Spectrometer), MISR (Multi-angle Imaging Spectro Radiometer), and ASTER (Advanced Space-borne Thermal Emission and Reflectance Radiometer). Coordinated field, aircraft, and satellite measurements were designed to maximize data collection and conduct cross comparisons. The 1997 campaigns were conducted in a grassland-shrub site on the Jornada Experimental Range near Las Cruces, New Mexico, and in a deciduous forest on the Walker Branch Watershed site near Oak Ridge, Tennessee.

Dataset List: Prototype Validation Exercise (PROVE)

Regional/Global

Regional and global biogeochemical dynamics data can be used to improve our understanding of the structure and function of various ecosystems; to enable prediction across spatial and temporal scales; and to parameterize and validate terrestrial ecosystem models.

The ORNL DAAC compiles, archives, and distributes data products from the following NASA-funded research projects:

Atmospheric Tracer Transport Model Intercomparison Project (TransCom)

The Atmospheric Tracer Transport Model Intercomparison Project (TransCom), aims to quantify and diagnose the uncertainty in inversion calculations of the global carbon budget that result from errors in simulated atmospheric transport. TransCom consists of four phases, each with unique sets of experiments.

Dataset List: Atmospheric Tracer Transport Model Intercomparison Project (TransCom)

Carbon Monitoring System (CMS)

The NASA Carbon Monitoring System (CMS) is designed to make significant contributions in characterizing, quantifying, understanding, and predicting the evolution of global carbon sources and sinks through improved monitoring of carbon stocks and fluxes. The System will use the full range of NASA satellite observations and modeling/analysis capabilities to establish the accuracy, quantitative uncertainties, and utility of products for supporting national and international policy, regulatory, and management activities. CMS will maintain a global emphasis while providing finer scale regional information, utilizing space-based and surface-based data and will rapidly initiate generation and distribution of products both for user evaluation and to inform near-term policy development and planning.

Dataset List: Carbon Monitoring System (CMS)

Climate Collection

The ORNL DAAC archives climate data sets that include measured and modeled values for variables such as temperature, precipitation, humidity, radiation, wind velocity, and cloud cover. The climate collection includes station measurement data as well as gridded mean values for the variables.

Dataset List: Climate Collection

Daymet

Daymet is a collection of gridded estimates of daily weather parameters generated by interpolation and extrapolation from daily meteorological observations. Weather parameters in Daymet include daily surfaces of minimum and maximum temperature, precipitation, humidity, radiation, snow water equivalent, and day length produced on a 1 km x 1 km gridded surface over North America, Puerto Rico, and Hawaii.

Dataset List: Daymet

Hydroclimatology Collection

The ORNL DAAC archives data on streamflow and climatology. The hydroclimatology data collection contains data relevant for the study of surface-water conditions, including the Global River Discharge Database (RivDIS v1.1).

Dataset List: Hydroclimatology Collection

International Satellite Land Surface Climatology Project (ISLSCP II)

The International Satellite Land Surface Climatology Project, Initiative II (ISLSCP II) was part of the Global Energy and Water Experiment (GEWEX) and was responsible for addressing land-atmosphere interactions, process modeling, data retrieval algorithms, field experiment design and execution, and the development of global data sets. The ISLSCP II data set collection contains about 50 comprehensive data sets over the 10 year period from 1986 through 1995 focused on land cover, hydrometeorology, radiation, and soils.

Dataset List: International Satellite Land Surface Climatology Project (ISLSCP II)

Net Primary Productivity (NPP)

The ORNL DAAC Net Primary Production (NPP) data collection contains field measurements of biomass and estimated NPP for approximately 100 terrestrial study sites worldwide, compiled from published literature and other extant data sources. Some combination of above-ground annual peak live biomass data and/or seasonal biomass dynamics data is available for all sites. Many sites also have data on below-ground biomass and/or turnover. A number of previously compiled multi-site, multi-biome data sets of georeferenced NPP estimates are also provided in this collection.

Dataset List: Net Primary Productivity (NPP)

North American Carbon Program (NACP)

The North American Carbon Program (NACP) is a multidisciplinary research program to obtain scientific understanding of North America's carbon sources and sinks and of changes in carbon stocks needed to meet societal concerns and to provide tools for decision makers. The NACP is supported by a number of different federal agencies. The central objective is to measure and understand the sources and sinks of Carbon Dioxide (CO2), Methane (CH4), and Carbon Monoxide (CO) in North America and in adjacent ocean regions.

Dataset List: North American Carbon Program (NACP)

Soil Collection

The ORNL DAAC archives data on the biogeochemistry, physical, and chemical properties of soils. The data range from local-scale studies to gridded global products.

Dataset List: Soil Collection

Vegetation Collection

The ORNL DAAC compiles, archives, and distributes data on vegetation from local to global scales. Specific topic areas include: belowground vegetation characteristics and roots, vegetation biomass, fire and other disturbance, vegetation dynamics, land cover and land use change, vegetation characteristics, and NPP (Net Primary Production) data.

Dataset List: Vegetation Collection

Vegetation-Ecosystem Modeling and Analysis Project (VEMAP)

The Vegetation-Ecosystem Modeling & Analysis (VEMAP) Project was a multi-institutional, international effort whose goal is to evaluate the sensitivity of terrestrial ecosystem and vegetation processes to altered climate forcing and elevated atmospheric CO2. Phase 1 of the VEMAP project developed a model database of climate, soils, and vegetation. Phase 2 developed a historical (1895-1994) gridded data set of climate (temperature, precipitation, solar radiation, humidity, and wind speed) and transient climate change scenarios based on coupled atmosphere-ocean GCM experiments.

Dataset List: Vegetation-Ecosystem Modeling and Analysis Project (VEMAP)

Model Archive

The Model Archive provides the methodological detail in numerical modeling studies needed to ensure the long-term reproducibility of experimental results. Because numerical models evolve continuously over time, the most complete description of many numerical models is the specific version of the model itself used in a particular manuscript. The rationale and approach for the Model Archive is presented in Thornton et al. (2005)PDF

The ORNL DAAC compiles, archives, and distributes data products from the following NASA-funded research projects:

Model Archive

The ORNL DAAC Model Archive contains documentation, source code, input data, example output data, and post-processing or analysis code (if applicable) for a variety of models relevant to the NASA Terrestrial Ecology community. The archive provides the methodological detail in numerical modeling studies needed to ensure the long-term reproducibility of experimental results. The archive provides allows users to evaluate the uncertainties of model results in comparison to results from other models in assessment/policy studies.

Dataset List: Model Archive

Search for Data

The ORNL DAAC offers several ways to find data of interest.

Data Search

NASA's Earthata Search provides options for keyword, spatial, and temporal searches across ORNL DAAC archived data.

Browse Data

Browse ORNL DAAC Data Holdings.

Website Search

Get Search Results from the ORNL DAAC website using a Google site search.

Search by DOI

Search by article DOI using the ORNL DAAC DOI Search for datasets that are cited or referred to in an article, enter the article's digital object identifier (DOI). Related datasets are also displayed.

THREDDS Data Server (TDS) Catalog Service

For a limited number of ORNL DAAC data products, the ORNL DAAC offers a THREDDS Data Server Catalog Service.

Complete Dataset List

The Complete Dataset List provides a list by category of the number of data sets available within each project. The project name is a link to the list of available datasets within each project, where the dataset can be downloaded.