Kevin Murphy received the 2016 Charles S. Falkenberg Award at the American Geophysical Union Fall Meeting Honors Ceremony, held on 14 December 2016 in San Francisco, Calif. The award honors an "early- to mid-career scientist who has contributed to the quality of life, economic opportunities, and stewardship of the planet through the use of Earth science information and to the public awareness of the importance of understanding our planet."
data management
Award Highlights Need to Preserve Historic Geoscience Data
The award raises awareness about the importance of preserving and having access to research data, and it showcases a diversity of initiatives to recover and reuse older research data.
Unifying Ocean Data into One Searchable Set
A new system called SeaView integrates data from five online ocean data sets, helping to paint a more detailed picture of the world's oceans.
It’s Not Just Fracking: New Database of Human-Induced Quakes
In the largest compilation of anthropogenically induced earthquakes, causes range from building water reservoirs to mining.
Tracking Global Change with a Cloud-Based Living Atlas
With their feet in the cloud, Descartes Labs is pushing the limit of how we study the Earth with satellite images.
Upscaling Peatland Science Through Collaborative Big Data
PeatDataHub launch meeting; Leeds, United Kingdom, 23–24 May 2016
Data Rules for Water Management, Continental Roots, and More
The importance of relevant and consistent data (as well as more samples) spans discussions of water resources and crustal roots at the IGC.
Building an Accessible Archive for Water Column Sonar Data
The Water Column Sonar Data Archive aggregates and curates sonar data sets from many sources, giving researchers access to much more information than they could collect on their own.
Closing the Pacific Rainfall Data Void
A new climatology tool uses satellite data to map precipitation in a data-sparse region of the Pacific Ocean.
Adapting Weather Forecasting Techniques to Paleoclimate Studies
First results of the Last Millennium Climate Reanalysis Project demonstrate the potential of the method to improve historical climate estimates by linking proxy data with climate models.
