AMS Publications

The Bulletin of the American Meteorological Society, high-impact, peer-reviewed scientific journals, a long-standing series of meteorological monographs, the Glossary of Meteorology, and award-winning books.

 

Simultaneous Assimilation of Planetary Boundary Layer Observations from Radar and All-Sky Satellite Observations to Improve Forecasts of Convection Initiation

A recent study in MWR explores the use of underused data from both the GOES-16 satellite and the national network of WSR-88D radars to better define the atmospheric state used to start weather prediction models, with the hope that this will lead to better forecasts of new thunderstorm development.

Learn more

Publish with AMS

Submit a journal or BAMS article or organize a special collection or monograph.

Submit to AMS

Why Publish with AMS?

Get Involved

Volunteer to be a journal reviewer or submit your name to be considered for a journal editor role.

Volunteer for Journals

 

News and Updates

AMS implements GetFTR for enhanced access to journals
AMS implements GetFTR for enhanced access to journals

AMS Publications is pleased to announce that we have entered into an agreement with the GetFTR (Get Full Text Research) organization. GetFTR is designed to improve the journey from discovery to access, and to support publishers in helping their researchers quickly reach published content they are entitled to read via their institutional subscriptions. GetFTR also provides researchers with access to up-to-date open content including articles in hybrid journals.

The Tornado Probability Algorithm: A Probabilistic Machine Learning Tornadic Circulation Detection Algorithm
The Tornado Probability Algorithm: A Probabilistic Machine Learning Tornadic Circulation Detection Algorithm

A recent article in WAF describes the tornado probability algorithm (TORP), which uses a random forest machine learning technique to estimate a probability of tornado occurrence based on single-radar data, and its performance. TORP can provide real-time guidance for tornado warning decisions, which can increase forecaster confidence and encourage swift decision-making.

Understanding Energy Pathways in the Gulf Stream
Understanding Energy Pathways in the Gulf Stream

Using a high-resolution (∼2 km) ocean model, a new study in JPO characterizes the spatial and temporal distribution of turbulent cascades in the Gulf Stream over a period of 5 years.

Characteristics of Dust Storms Generated by Trapped Waves in the Lee of Mountains
Characteristics of Dust Storms Generated by Trapped Waves in the Lee of Mountains

There are a wide variety of meteorological processes that can generate high winds and dust, and thus the physical processes underlying dust emission and subsequent transport are not always understood. A recent article in JAS uses in situ measurements and numerical modeling of three dust outbreaks that occurred in the northwestern Sonoran Desert to demonstrate that vertically trapped atmospheric waves generated by air flowing over a mountain are one mechanism that can produce dust storms.

Recent Journal Articles

{{getPrettyDate(article.pubdate)}}
{{article.title}}
{{getJournalName(article.link)}}