Polynomial chaos and Bayesian compressive sensing are applied to a land surface model to understand how large numbers of tunable parameters interact and may be optimized.
Journal of Advances in Modeling Earth Systems (JAMES)
Posted inResearch Spotlights
Critical Role of Grazing Animals in an Ecosystem
Scientists model the effect of horses, cattle, sheep, and goats on local environments and global climate.
Posted inEditors' Highlights
Wet Soils Elevate Nighttime Temperatures
Soil moisture can elevate overnight temperatures, offsetting daytime cooling, especially over areas of strong land-atmosphere interactions.
Posted inEditors' Highlights
Improved Simulation of Gross Primary Productivity
A new model better explains seasonal variations in biomass.
Posted inResearch Spotlights
How Do Clouds React to Regional Warming?
Researchers illuminate how and why cloud feedbacks depend on spatial patterns of global warming.
Posted inResearch Spotlights
Open-Source Tool Aims to Boost Confidence in Ice Sheet Models
The software could help strengthen ice sheet models to provide a better basis for policy decisions.
Posted inResearch Spotlights
How to Find an Iceberg’s Breaking Point
Researchers develop a mathematical method of modeling tabular icebergs, like the one that broke away from an Antarctic ice shelf earlier this year.
Posted inResearch Spotlights
How Shifting Winds Turn Tropical Storms into Hurricanes
Researchers present a novel method for analyzing how wind shear affects tropical cyclone strength and structure.
Posted inResearch Spotlights
Clouds in Climate Models of a Simulated Water-Covered Earth
Researchers use aquaplanet experiments to zero in on the effects of small-scale processes in the tropics that cause discrepancies between climate models.
Posted inResearch Spotlights
Climate Change May Reduce Future Corn Supply
A suite of simulations run with a spectrum of starting conditions shows that climate change will reduce corn crop yield, although the degree of reductions varies widely.