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GEDI Data Released at LP DAAC, More Data to Come

Submitted by ORNL DAAC Staff on 2020-01-21

GEDI data will help further refine our understanding of the carbon cycle and atmospheric concentrations of carbon dioxide (CO2).

Level 1 and 2 high-resolution, laser altimetry data from the Global Ecosystem Dynamics Investigation (GEDI) are now available from the LP DAAC.

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Historical and Future Leaching from the Mississippi River Basin

Submitted by ORNL DAAC Staff on 2020-01-21

Distribution map of mean dissolved inorganic carbon leaching.

Spatial distribution of mean dissolved inorganic carbon (DIC) leaching (g c/m2/yr) in the 2090s estimated by S(ALL) simulation experiment (including future climate, elevated CO2, and land use changes). Climate change scenarios were derived from three climate models named CCSM3 (panels a and b), ECHAM (c and d), and CCCMA (e and f) under high (A2) and low (B1) emission scenarios, respectively.

New data from the Carbon Monitoring System (CMS) offers insights into how environmental factors affect the dynamics of leaching.

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Seasonality and Peak Greenness in the Arctic

Submitted by ORNL DAAC Staff on 2020-01-21

Peak greenness derived from the Normalized Difference Vegetation Index (NDVI) for the year 2010 in the ABoVE grid cell Bh07v07.

Maps of annual seasonality and greenness are now available from the Arctic-Boreal Vulnerability Experiment.

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Snowoff Date from 1988-2016

Submitted by ORNL DAAC Staff on 2020-01-13

Summary statistics for the snowoff date from 1988-2016 across the study domain: mean (left), standard deviation (middle), and coefficient of variation (right).

Snowoff dates, detected by passive microwave, are available across Alaska, northwestern Canada, and the Russian Far East.

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Predicted Annual Soil Respiration from the Carbon Monitoring System

Submitted by ORNL DAAC Staff on 2020-01-13

A global map of predicted annual soil respiration (Rs) at 1 km spatial resolution created by applying the QRF model to gridded covariates. Right is a plot of the latitudinal mean predicted annual Rs.

A machine learning approach was used to derive the predicted annual soil respiration and uncertainty at a 1 km spatial resolution.

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Atmospheric Concentrations of Halocarbons and Hydrocarbons

Submitted by ORNL DAAC Staff on 2020-01-13

Mixing ratio of CFC-11 measured by Whole Air Sampler (WAS) during ATom-4 flights in April-May 2018.

The UC-Irvine Whole Air Sampler (WAS) instrument was used during the Atmospheric Tomography (ATom) mission.

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Amazonia Forest Canopy Structure from LiDAR

Submitted by ORNL DAAC Staff on 2020-01-07

Bounding boxes for LiDAR tiles from surveys over western Para, Brazil, are depicted in Google Earth from the KMZ companion file. Each feature in the KMZ provides key metadata about the corresponding tile.

LiDAR surveys over forest research sites across the Amazon rainforest in Brazil are available.

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Volatile Organic Compound Concentrations

Submitted by ORNL DAAC Staff on 2020-01-07

Global map showing measurements by TOGA.

Measurements of atmospheric acetone concentration from samples collected by the Trace Organic Gas Analyzer (TOGA) during ATom-3 flights in 2017.

Concentrations of volatile organic compounds (VOCs), measured by the Trace Organic Gas Analyzer (TOGA), are available.

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Carbon Fluxes From US Coastal Wetlands

Submitted by ORNL DAAC Staff on 2019-12-30

Estimated CO2e fluxes and confidence interval ranges for the Mississippi River outlet in Louisiana, United States. This area contains palustrine and estuarine wetlands, and includes stable wetlands, wetland gains and loss events from 2006 to 2011. A: Total flux from 2006 to 2011. B. Uncertainty, as represented by confidence interval range (0.975 - 0.025 quantile distributions of the results of the Monte Carlo Analysis). C-E. The relative contributions of soil, biomass, and methane to the total flux (A).

A new dataset provides maps of surface elevation, land cover, biomass, and estimated coastal wetland carbon fluxes.

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