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Historical and Future Leaching from the Mississippi River Basin

Submitted by ORNL DAAC Staff on 2020-01-20
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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.

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

Predicted Annual Soil Respiration from the Carbon Monitoring System

Submitted by ORNL DAAC Staff on 2020-01-13
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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.

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

Amazonia Forest Canopy Structure from LiDAR

Submitted by ORNL DAAC Staff on 2020-01-06
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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.

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

Snowoff Date from 1988-2016

Submitted by ORNL DAAC Staff on 2020-01-06
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Summary statistics for the snowoff date from 1988-2016 across the study domain: mean (left), standard deviation (middle), and coefficient of variation (right).

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

Carbon Fluxes From US Coastal Wetlands

Submitted by ORNL DAAC Staff on 2019-12-30
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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).

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

Mapping Methane Emissions Across California

Submitted by ORNL DAAC Staff on 2019-12-30
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Vista-CA provides locations of methane (CH4) emitting facilities and infrastructure in the State of California. In this figure, the distribution of digesters, feed lots, and dairies across the San Francisco Bay Area and Central Valley are shown.

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The Vista-CA dataset provides locations of potential methane (CH4) emitting facilities and infrastructure across the state of California.