Researchers review the challenges and prospects of Earth System Models that incorporate a consistent closed energy budget.
The capability to fully model the global methane cycle advances the international climate science community’s ability of providing essential evidence to underpin climate mitigation policy.
Online training produces more accurate and stable machine-learned models than classic offline learning from big data sets.
A new two-step Polar Mesospheric Cloud detection technique is applied towards the Himawari-8/Advanced Himawari Imager full-disk images leading to a new high-quality dataset.
Dual‐frequency Precipitation Radar observations reveal the characteristics and microphysical processes of the melting layer in cyclone precipitation over the western North Pacific.
Studying the interactions between the atmosphere and forests is a key component of understanding forest ecosystems and the interplay between our atmosphere and the living world.
A study of the impacts of radiative interactions with different cloud types on aggregation of rainstorms finds that interactions with high-clouds and water vapor are key.
Satellite data has been used to correct the aerosol loading and land surface albedo in several AeroCom models, which has improved shortwave flux biases between models and observations.
New metrics used to quantify errors in precipitation show that convection permitting simulations outperform coarser resolution simulations.
Global emissions dropped markedly in 2020, due in large part to lockdowns that slowed economic and social activity, but the climate likely won’t be noticeably affected.