Ever wonder what the water depth covering a certain area would be if the snowcover was in a liquid state? LANCE now has a dataset that shows exactly that. Snow water equivalent (SWE) imagery is now available in NASA Worldview from the NASA Land Atmosphere Near real-time Capability for EOS (LANCE) Advanced Microwave Scanning Radiometer 2 (AMSR2) processing element. LANCE AMSR2 is a component of the AMSR Science Investigator-led Processing System (SIPS) at the GHRC DAAC. This NASA Worldview image shows snow in the Andes as seen from AMSR2 on August 25.
GHRC News
Global Hydrology Resource Center (GHRC) Manager Dr. Rahul Ramachandran was selected to the Data Science Journal Editorial Board. The Data Science Journal is dedicated to the advancement of data science and its application in policies, practices and management (such as Open Data) to ensure that data are used in the most effective and efficient way in promoting knowledge and learning.
The NASA Land Atmosphere Near real-time Capability for EOS (LANCE) Advanced Microwave Scanning Radiometer 2 (AMSR2) processing element, a component of the AMSR Science Investigator–led Processing System (SIPS) at the Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC) in Huntsville, Alabama, announced the availability of the dataset NRT AMSR2 Daily L3 Global Snow Water Equivalent EASE-Grids. This dataset contains snow water equivalent (SWE) data and quality assurance flags mapped to the Northern and Southern Hemisphere 25 km Equal-Area Scalable Earth Grids (EASE-Grids). It is generated incrementally in near real-time, as data are acquired from the AMSR2 instrument on the Japanese Aerospace Exploration Agency (JAXA) Global Change Observation Mission for Water - 1 (GCOM-W1) satellite. LANCE AMSR2 snow imagery is available through the Global Image Browse Service (GIBS) and will be visible in Worldview very soon. View the LANCE website for more information.
Global Hydrology Resource Center (GHRC) Manager Dr. Rahul Ramachandran has published an article in IEEE Geoscience and Remote Sensing Magazine.
Ramachandran, Rahul, and Siri Jodha S. Khalsa. 2015. “Moving from Data to Knowledge: Challenges and Opportunities.” IEEE Geoscience and Remote Sensing Magazine.
The Global Hydrology Resource Center (GHRC) continues preparation for product generation and archiving of data from the Lightning Imaging Sensor (LIS), to be deployed on the International Space Station (ISS) in 2016. William Ellett, ISS LIS team lead for the Global Hydrology Resource Center (GHRC), attended the External Payloads Splinter of the 38th Payload Operations and Integration Working Group (POIWG) for ISS on July 22. The new GHRC processing server, which will host ISS LIS product generation, is now fully operational and has firewall exceptions for ISS LIS data ingest.
