Although the total surface area of Earth’s lakes emits less methane than previously believed, it is still among the largest natural methane sources.
everything atmospheric
Machine Learning Emulation of Atmospheric Radiative Transfer
Using machine learning to represent sub-grid processes in weather and climate models holds promise, but also faces challenges. Incorporating physical knowledge can help.
A Unified Atmospheric Model for Uranus and Neptune
In a new model, three substantial atmospheric layers appear consistent between the ice giants.
Modeling Entrainment with Machine Learning
Researchers present a new approach to modeling the stochastic mixing process of convection using a machine learning technique.
Fiona Lo: A “Really Long, Convoluted Path” to Health
Lo uses her background in atmospheric sciences to forecast pollen concentrations.
Nobel Recognition for the Roles of Complexity and Intermittency
The 2021 Nobel Prize in Physics was awarded to three scientists “for groundbreaking contributions to our understanding of complex physical systems.”
Atmospheric Rivers Help Coastal Wetlands Build Up Sediment
Accounting for these storms and flooding can help experts predict and respond to rising sea levels.
An Ocean Surface Layer with Potential
The depth of the ocean’s surface mixed layer is typically defined based on density thresholds. However, a more physically appealing definition can be constructed from potential energy considerations.
Comparing Methods for Analysis of Atmospheric Rivers
Results from the Atmospheric River Tracking Method Intercomparison Project (ARTMIP) describe the similarity and difference of using eleven detection algorithms and three reanalysis products.
Despite Improvements, China’s Air Remains Unsafe
Toxic particulate matter has decreased by about a third over the past decade, but levels are still above what’s considered healthy.
