New research on the Paleocene-Eocene Thermal Maximum used probabilistic analysis to learn more about its duration and how long modern warming could affect the carbon cycle.
Modeling
Posted inEditors' Highlights
Resilient Solutions Involve Input and Data from the Community
Data dashboards assist in understanding a community’s vulnerability to climate impacts, but input from the communities themselves helps identify and support actionable solutions.
Posted inNews
Have We Finally Found the Source of the “Sargassum Surge”?
The complexity of modeling the tropical Atlantic makes identifying the source of the ongoing seaweed blooms difficult.
Posted inResearch Spotlights
The Uncertain Fate of the Beaufort Gyre
Climate models produce widely varying predictions for what will happen to this influential ocean current, but most models predict it will weaken or stop.
Posted inEditors' Highlights
Beyond Up and Down: How Arctic Ponds Stir Sideways
Contrary to common assumptions, Arctic ponds mix in more than one direction. A new study finds that nighttime sideways flows, not vertical mixing, renew bottom waters.
Posted inEditors' Highlights
First Benchmarking System of Global Hydrological Models
A benchmarking framework for global hydrological models, essential for Earth System Model evaluations, has finally been proposed.
Posted inEditors' Vox
Decoding Crop Evapotranspiration
The intricate factors influencing cropland evapotranspiration is uncovered in a new article, from stressors to diverse management practices, and reveals critical insights into changing climates.
Posted inResearch Spotlights
Mapping the Ocean Floor with Ancient Tides
A new study uses a paleotidal model to trace the formation of carbon-rich mud deposits over thousands of years.
Posted inEditors' Highlights
A Leap Toward Next-Generation Ocean Models
GPU-optimized ocean modeling achieves decade-long simulations in a day, enabling mesoscale-resolving climate simulations that open new opportunities for long-term planning in a changing climate.
Posted inEditors' Highlights
Calibrating Climate Models with Machine Learning
Using machine learning, researchers automatically calibrate a comprehensive climate model, improving simulations of difficult features and taking steps toward more reliable climate projections.