In celebration of Earth Month, GFDL shares how the lab is investing to meet weather and climate goals through some of its advanced global models: CM4, SPEAR, ESM4, and SHiELD. These models enhance our comprehension of the Earth system.
The National Integrated Drought Information System (NIDIS) has released its annual report, highlighting accomplishments from 2023 and future opportunities.
In the mid- and high latitudes, ocean currents drive most changes in sea surface temperatures over long periods of time, overpowering atmospheric influences by two to three times. In subtropical regions, atmospheric forces have more influence.
Cold, dense water from the Southern Ocean transfers heat and carbon to the Northern Hemisphere via the Atlantic Meridional Overturning Circulation. But a new study finds that the northward transport of cold water at 16°N weakened by about 12 percent during 2000-2020.
The Adaptation Sciences research program funded a project to assess vulnerability to sea level rise and implement feasible strategies to cope.
The use of sulfuryl fluoride as a pesticide has raised concerns due to its potent greenhouse gas properties. A new study reveals California as the largest emitter, particularly in coastal regions such as Los Angeles, Orange, and San Diego counties.
Tropical deep convection is one of the leading sources of uncertainty in future projections of the Earth’s temperature. There are uncertainties in the radiative response of convective clouds, which can have negative or positive radiative effects.
Levels of the three most important human-caused greenhouse gases – carbon dioxide (CO2), methane and nitrous oxide – continued their steady climb during 2023, according to NOAA scientists.
A new study shows it’s possible to collect measurements of fire and smoke chemistry, weather conditions, and smoke plume dynamics in real time around an active wildfire.
A new study demonstrates an innovative approach combining two artificial intelligence methods to predict a key ENSO indicator up to a year and a half in advance. The method proved capable of predicting extreme ENSO events at about 85 percent accuracy.