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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 goal of NASA's Airborne Microwave Observatory of Subcanopy and Subsurface (AirMOSS) investigation is to provide high-resolution observations of root-zone soil moisture over regions representative of the major North American climatic habitats (biomes), quantify the impact of variations in soil moisture on the estimation of regional carbon fluxes, and 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. The AirMOSS soil measurements can be used to better understand carbon fluxes and their associated uncertainties on a continental scale. Additionally, AirMOSS data provide a direct means for validating root-zone soil measurement algorithms from the Soil Moisture Active & Passive (SMAP) mission and assessing the impact of fine-scale heterogeneities in its coarse-resolution products.

Data Set 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. Climate change in the Arctic and Boreal region is unfolding faster than anywhere else on Earth. ABoVE seeks a better understanding of the vulnerability and resilience of ecosystems and society to this changing environment.

Data Set List: Arctic-Boreal Vulnerability Experiment (ABoVE)

Boreal Ecosystem-Atmosphere Study (BOREAS) Follow On

The Boreal Ecosystem-Atmosphere Study (BOREAS) Follow-On Project extended and built upon the original BOREAS goal to investigate interactions between the boreal forest biome and the atmosphere in order to clarify their roles in global change. A common set of existing BOREAS in-situ and remote-sensing data were compiled at point, study area, and regional scales for use by Follow-On investigators. Follow-On investigations were integrative, interdisciplinary, and focused on modeling and regional-scale analyses. The development and intercomparison of the various carbon, water, and energy flux models was a major objective. Additional information on the BOREAS Follow-On project is available in the campaign guide document.

Data Set List: Boreal Ecosystem-Atmosphere Study (BOREAS) Follow On

Boreal Ecosystem-Atmosphere Study (BOREAS)

The Boreal Ecosystem-Atmosphere Study 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, principally altered temperature and precipitation patterns, on the biome.

Data Set List: Boreal Ecosystem-Atmosphere Study (BOREAS)

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.

Data Set List: Carbon Monitoring System (CMS)

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.

Data Set List: Carbon in Arctic Reservoirs Vulnerability Experiment (CARVE)

First ISLSCP Field Experiment (FIFE)

The FIFE Project was a large-scale climatology project set in the prairies of central Kansas in 1987 and 1989. This project was designed to improve understanding of carbon and water cycles; to coordinate data collected by satellites, aircraft, and ground instruments; and to use satellites to measure these cycles.

Data Set List: First ISLSCP Field Experiment (FIFE)

First ISLSCP Field Experiment (FIFE) Follow On

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. The 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.

Data Set List: First ISLSCP Field Experiment (FIFE) Follow On

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?"

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

North American Carbon Program (NACP)

The North American Carbon Program (NACP) is a multidisciplinary research program designed 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.

Data Set List: North American Carbon Program (NACP)

Oregon Transect Ecosystem Research (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.

Data Set List: Oregon Transect Ecosystem Research (OTTER)

Southern African Regional Science Initiative Project (SAFARI 2000)

The SAFARI 2000 project was an international science initiative to study the linkages between land and atmosphere processes 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. This initiative, which was conducted in 1999-2001, was built around a number of ongoing, already-funded activities by NASA, the international community, and African nations in the southern African region.

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

Superior National Forest

Biophysical, Morphological, Canopy Optical Property, and Productivity Data From the Superior National Forest

Data Set 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) compiled a database of canopy chemistry for sites in the United States. 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. The Oak Ridge DAAC is interested in adding additional canopy chemistry data from sites around the world as contributed by investigators.

Data Set List: Accelerated Canopy Chemistry Program (ACCP)

BigFoot

The objective of BigFoot is 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 current BigFoot study plan covers 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.

Data Set List: BigFoot

EOS Land Validation

In-situ and aircraft measurements for validating satellite products

Data Set List: EOS Land Validation

FLUXNET

Long-term measurements of carbon dioxide, water vapor, and energy exchange from a variety of worldwide ecosystems integrated into consistent, quality assured, documented data sets.

Data Set List: FLUXNET

MODIS Land Products Subsets

The goal of the MODIS Land Products Subsets activity is to prepare and distribute subsets of selected MODIS Land Products in a scale and format useful for field researchers. The ORNL DAAC delivers the subsets along with various visualizations and the data are offered as comman separated text files and in GIS compatible format. The subset data are particularly useful for validation and intercomparison in conjunction with other field data.

Data Set List: MODIS Land Products Subsets

Prototype Validation Exercise (PROVE)

The Prototype Validation Exercise (PROVE) consists of two mini-field campaigns involving investigators from three different NASA Earth Observing System (EOS) instrument teams. MODIS (Moderate-resolution Imaging Spectrometer), MISR (Multi-angle Imaging Spectro Radiometer), and ASTER (Advanced Space-borne Thermal Emission and Reflectance Radiometer) coordinate field, aircraft, and satellite measurements 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. Project information and photos are available from the PROVE Web page http://pratmos.gsfc.nasa.gov/~justice/modland/valid/prove/grass/prove.html, an inventory of data collection is maintained by the ORNL DAAC, and controlled access is provided to PROVE data maintained by the ORNL DAAC.

Data Set 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:

Climate Collection

The ORNL DAAC compiles, archives, and distributes data on temperature, precipitation, humidity, radiation, wind velocity, and cloud cover. These data are either station or gridded data.

Data Set 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.

Data Set List: Daymet

Hydroclimatology Collection

The ORNL DAAC compiles, archives, and distributes data on streamflow and climatology. The data are from a range of time scales (daily and monthly) and are from meteorological stations or streamflow discharge stations.

Data Set List: Hydroclimatology Collection

International Satellite Land Surface Climatology Project (ISLSCP II)

The International Satellite Land-Surface Climatology Project

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

Net Primary Productivity (NPP)

NPP (net primary production) data from existing field measurements are being compiled for approximately 100 study sites covering several major world ecosystem types. These data are used by global change modelers to develop and validate models of vegetation-soil-atmosphere interactions within the global carbon cycle and to help calibrate remote sensing of vegetation worldwide

Data Set List: Net Primary Productivity (NPP)

River Discharge (RIVDIS)

Global River Discharge Database (RivDIS v1.1)

Data Set List: River Discharge (RIVDIS)

Russian Land Cover (RLC)

The Russian Land Cover database consists of land use and land cover satellite-based map products of Russia and of the Former Soviet Union. The GIS products included provide scientists and resource managers with the information needed in the management, characterization, and measurement of Russian forest resources as well as the land use and land cover data needed for Russian land management.

Data Set List: Russian Land Cover (RLC)

Soil Collection

The ORNL DAAC compiles, archives, and distributes data on the physical and chemical properties of soils. The data are gridded at spatial scales ranging from regional to global.

Data Set List: Soil Collection

Atmospheric Tracer Model Intercomparison Project (TransCom)

The Atmospheric Tracer Model Intercomparison Project (TransCom Experiment), 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.

Data Set List: Atmospheric Tracer Model Intercomparison Project (TransCom)

Vegetation Collection

The ORNL DAAC compiles, archives, and distributes gridded data on vegetation from regional to continental scales.

Data Set List: Vegetation Collection

Vegetation-Ecosystem Modeling & Analysis Project (VEMAP)

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 compatible with the requirements of three ecosystem physiology models and three vegetation lifeform distribution models. 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, such as those with elevated greenhouse gases and sulfate aerosols.

Data Set List: Vegetation-Ecosystem Modeling & 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 Model Archive allows users to evaluate the uncertainties of model results in comparison to results from other models in assessment/policy studies. In addition, the archived models allow users to see how models treat individual processes (source code) and what the model inputs were (state parameters, spin-up data, driving variables). For each model the DAAC will have documentation, source code (with version number), input data, example output data, and post-processing or analysis code (if applicable).

Data Set List: Model Archive

Search for Data

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

Data Search

The ORNL DAAC Data Search is the Mercury metadata search system. It 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 DOI using the ORNL DAAC DOI search for data sets that are cited or referred to in an article, enter the article's digital object identifier (DOI). Related data sets are also displayed.

THREDDS Data Server (TDS) Catalog Service

For a limited number of ORNL DAAC data products, the ORNL DAAC offers a TDS Catalog Service.

Complete Data Set List

The Complete Data Set 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 data sets within each project, where the data set can be downloaded.