Data in Action: Globally Averaged Sea Level
Image Credit: NASA/JPL-Caltech
Animation: CYGNSS Level 3 Soil Moisture from UCAR/CU Version 1.0 (March 2017 and August 2020)
This animation depicts gridded, daily volumetric water content estimated for the 0-5 cm surface soil layer between March 2017 and August 2020. These soil moisture data constitute the first land product from CYGNSS, a NASA Earth Ventures mission and satellite constellation for ocean surface remote sensing using a technique called GNSS-Reflectometry, and represent a starting point to explore land surface research applications using this promising new technique.
New PO.DAAC animation now available!
This animation depicts gridded, daily volumetric water content estimated for the 0-5 cm surface soil layer between March 2017 and August 2020.
CYGNSS Level 3 Soil Moisture from UCAR/CU Version 1.0 Dataset Release
2020-11-13
The PO.DAAC is pleased to announce the public release of the CYGNSS Level 3 Soil Moisture Version 1.0, representing the first published land-based geophysical dataset derived from CYGNSS. More information regarding the CYGNSS mission and instrumentation is available from PO.DAAC’s mission webpage.
Newsletter:
Sea Level Change Data Pathfinder
According to the United Nations, 40% of the world's population lives within 100 km of a coast, meaning that close to three billion people could be impacted by changes in sea level.
Solving the Data Puzzle of Sea Level Rise
The new Sea Level Change Data Pathfinder highlights the diversity of datasets used to piece together the status and drivers of sea level rise.
Solving the Data Puzzle of Sea Level Rise
Solving the Data Puzzle of Sea Level Rise
The new Sea Level Change Data Pathfinder highlights the diversity of datasets used to piece together the status and drivers of sea level rise.
Sea levels are rising at an average of 3.3 millimeters per year around the world. Rising seas are already having catastrophic effects in coastal communities through flooding, erosion, and storm-related hazards.
Sea Level Change Data Pathfinder
Sea Level Change Data Pathfinder
Error in MODIS Aqua/Terra L2P/L3 SST datasets
2020-11-03
It has been discovered that the MODIS Aqua/Terra Level 2P/Level 3 sea surface temperature (SST) datasets produced since 1 September 2020 have an input error from the MERRA-2 auxiliary dataset used in the SST derivation for the “Refined” SST files. These files will be reprocessed once the error is more well understood, but in the meantime they should not be used. Forward stream “Quicklook” or “NRT” files which use a different input for the SST derivation are unaffected.
Newsletter:
Animation: “Science is International” Says French Sea Level Rise NASA Scientist | Sentinel-6 Michael Freilich
For NASA scientist Severine Fournier, studying our planet knows no borders. Our changing ocean affects everyone across the globe. That’s why the new Sentinel-6 Michael Freilich satellite, launching Nov. 10, is a truly international mission that will study our rising seas from space.