Spatial estimates of total carbon combustion at 30 m resolution across the 2015 fire perimeters in Saskatchewan (a) and sampled fires (b, c, d). The spatial extents of sampled fires are shown as blue rectangles in (a).
A new Arctic-Boreal Vulnerability Experiment (ABoVE) provides spatial estimates of carbon combustion and uncertainty on a 30 m grid.
Site sampling plan used for characterizing active layer soils (left). Axes are in meters. At Imnavait Creek, active layer thickness (ALT) was measured on transects intersecting a central soil pit. Soil dielectric properties, in situ moisture and temperature profiles were measured, and soil samples were collected for analyses from the soil pit (right).
Active layer thickness, soil dielectric profiles, and soil physical properties are key variables for understanding the Arctic permafrost layer.
Left: The DLR Falcon used for the SALTRACE 2013 and the A-LIFE 2017 campaigns. Right: The NASA DC-8 aircraft used during the ATom missions sitting at the Pago Pago International Airport, American Samoa.
A new dataset from the Atmospheric Tomography Mission (ATom) compares airflow and aerosol particles.
ACT-America 2019 summer airborne campaign showing the flight paths for the two aircrafts and location of ground towers. Flights were concentrated on three study domains: northeast, south-central, and midwest regions of the United States.
A new version of merged in situ atmospheric trace gases and flask data from the Atmospheric Carbon and Transport-America project is now available.
Downscaled MERRA-2 snow depth (in meters) data. Images show snow depth for two time periods: spring snow melt for 23-30 April, 2007 (left) and during early snow accumulation for 30 September-7 October, 2007 (right).
One kilometer resolution, cloud-free snow cover extent and snow depth data are available for Alaska from 2001 to 2017.
Estimated aboveground biomass (Mg/ha) for Sonoma County at 30 m spatial resolution with the 5th-95th percentile range and the standard deviation (SD) of per-pixel biomass estimates shown in the top left and bottom left, respectively.
A new dataset used a parametric modeling approach to estimate biomass from airborne LiDAR data and field measurements.