GFDL Physical Scientist Ming Zhao has been awarded the 2022 American Geophysical Union’s Ascent Award for his “growing research accomplishments and leadership in climate model development.” Zhao conducts research focused on challenging topics with societal and economic implications while also developing climate models.
Cloud-computing technology that improves climate prediction counts among the NOAA’s successful technology partnerships in 2022.
A study partially funded by CPO's Sectoral Applications Research Program and published in the Journal of Hydrometeorology found after simulation experiments that climate variability phenomena can ...
A study partially funded by CPO's Sectoral Applications Research Program and published in the Journal of Hydrometeorology found after simulation experiments that climate variability phenomena can ...
In the wake of historic flooding along the Missouri River in spring and summer 2011, NOAA scientists are exploring how climate patterns like La Niña and others can set the stage for floods or drought in the Northern Rockies and the Upper Great Plains.
Researchers have found that late-20th-century hurricane frequency aligns statistically with patterns seen over the past thousand years, challenging common assumptions about recent trends.
A new paper: “Modeling regional aerosol variability over California and its sensitivity to emissions and long-range transport during the 2010 CalNex and CARES campaigns,” has been published in the …
A new modeling study using Hurricane Harvey as an example suggests that climate change will worsen the severity of flooding by the late 21st century.
Home to critical productive farmland, Missouri experienced a heatwave in July 2012. Operational models have failed to predict such events, but a new study raises hopes of improving future predictions.
Drought frequently strikes the U.S. Southern Plains, so understanding how drought affects water availability has significant economic benefits. But modeling water availability is challenging because so many physical processes must be considered. A new study examines how a frequently used model compares with observations.