Atmospheric scientists evaluate the influence of human-made structures on lightning data.
monitoring networks
Posted inResearch Spotlights
Autonomous Floats Shed New Light on the Ocean’s Many Hues
Argo float data reveal regional deviations from existing models of the relationship between ocean color and biogeochemistry.
Posted inScience Updates
A New Data Set to Keep a Sharper Eye on Land-Air Exchanges
FLUXNET2015, the latest update of the longest global record of ecosystem carbon, water, and energy fluxes, features improved data quality, new data products, and more open data sharing policies.
Posted inScience Updates
Bringing Biogeochemistry into the Argo Age
Plans are underway to integrate and augment a collection of regional programs to form a global biogeochemical monitoring network.
Posted inScience Updates
Developing a Remote Sensing System to Track Marine Debris
Workshop on Mission Concepts for Marine Debris Sensing; Honolulu, Hawaii, 19–21 January 2016
Posted inScience Updates
Submarine Cable Systems for Future Societal Needs
5th Workshop on SMART Cable Systems: Latest Developments and Designing the Wet Demonstrator Project; Dubai, United Arab Emirates, 17–18 April 2016
Posted inScience Updates
One for All, All for One: A Global River Research Network
Intermittent rivers are an increasing share of the world's river network, but current models don't include them. One research network is gathering knowledge about these rivers from around the world.
Posted inScience Updates
Does Geothermal Exploitation Trigger Earthquakes in Tuscany?
For the past 25 years, power production has been accompanied by a small but steady increase in seismicity near geothermal wells. A new project seeks to explore why.
Posted inScience Updates
Ocean Floor Networks Capture Low-Frequency Earthquake Event
Last August, stations on a newly deployed permanent ocean floor observation network recorded rarely seen, very low frequency signals from shallow earthquakes.
Posted inResearch Spotlights
Streamlining Rapid Tsunami Forecasting
With enough sensors, traditional forecasting methods could be replaced by models continuously updated with real-time wave data.