Environmental Impact Bonds for financing new water and environmental infrastructure can be properly priced with the help of watershed modelling.
Modeling
Ensemble Modeling of Coronal Mass Ejection Arrival at 1 AU
Heliospheric imaging data can be used in ensemble modeling of CME arrival time at Earth to improve space weather forecasts, treating the solar wind as a 1-D incompressible hydrodynamic flow.
Improving Proxy Representations of Ocean Properties
Many oceanic properties are not directly observed but are instead estimated using proxy measurements. A new method uses physics-based correlations to reduce uncertainty in this relationship.
Deep-Ocean Oxygen May Increase with Climate Change
A millennial-scale ocean simulation indicates that oxygen gains in the deep ocean may offset oxygen losses in the upper water layer under a protracted climate change scenario.
Dams Alter Nutrient Flows to Coasts
New models indicate how dams worldwide influence the mix of nutrients in river water reaching the ocean. As more dams are built, changing nutrient loads may adversely affect coastal ecosystems.
New Tool Quantifies and Predicts Snow Droughts
A new metric for calculating snow water equivalence relies on three methodologies: modeling, satellite imagery, and direct observation.
Characteristics of Polar Sea Ice in Latest Climate Models
Sea ice area in CMIP6 is similar to previous versions while its sensitivity to external forcing is subtly different and closer to observations, but still not in step with global surface temperature.
Gas-Rich, Transcrustal Magma Storage in the Main Ethiopian Rift
Increments of melt trapped in crystals reveal upper crustal magmas in the Main Ethiopian Rift are rich in water and other volatiles, leading to extensive diffuse degassing and hydrothermal systems.
Measuring, Monitoring, and Modeling Ecosystem Cycling
Scientists leverage long-term environmental measurements, emerging satellite observations, and recent modeling advances to examine changes in ecosystem carbon and water cycling.
Weathering Environmental Change Through Advances in AI
Developing trustworthy artificial intelligence for weather and ocean forecasting, as well as for long-term environmental sustainability, requires integrating collaborative efforts from many sources.
