Second Workshop on Information Theory and the Earth Sciences; Santander, Spain, 16–19 May 2018
Modeling
Insensitivity of Total Sediment Flux to Hydraulic Details
The total sediment mass transported by flow under different sets of regimes is insensitive to the exact details of hydraulic forcing, but what matters is cumulative transport capacity.
Using Microbes to Predict the Flow of Arctic Rivers
Bacterial DNA provides a good estimate of river discharge.
Calibrating Hydrological Models by Satellite
Hydrological models are usually calibrated using observations of streamflow, but a new method uses remotely sensed land surface temperature for this purpose.
On Integrating Sedimentology and Hydrogeology in Streambeds
A new modeling blueprint seeks to unify sedimentology, hydrology, and hydrogeology in the modeling of streambeds.
How Will Climate Change Affect the United States in Decades to Come?
A new U.S. government report shows that climate is changing and that human activities will lead to many more changes. These changes will affect sea levels, drought frequency, severe precipitation, and more.
When Less Is More: Opening the Door to Simpler Climate Models
Earth system models are resource intensive and complex. To cut through this complexity, the Community Earth System Model project will now be embracing a hierarchy of simpler climate models.
A New Model for River Meanders
A river’s twists and turns are shaped by its past flood events.
Follow Earthworm Tracks to Better Simulate Water Flow in Soils
Incorporating paths carved by the critters and by tree roots helps scientists align simulations of tropical soils more closely with real-world data.
Tracking River Flows from Space
Satellite observations, combined with algorithms borrowed from river engineering, could fill large gaps in our knowledge of global river flows where field data are lacking.