This winter has brought multiple rounds of devastating severe weather to the southeastern U.S., with more than 200 reported tornadoes and 14 fatalities. To better understand the deadly storms in this region, scientists will conduct research as they travel through seven states in the second year of one of the largest and most comprehensive severe storm field projects to date.
A research team led by scientists from the University of California Berkeley and NOAA found that HRRR-Smoke accurately predicted the intensification of smoke pollution from the Camp …
Kimberly Hoogewind is a research scientist at the Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) at the University of Oklahoma, working in affiliation with the …
All tornadoes — whether large or small — originate from thunderstorms, but not all thunderstorms are the same. Nighttime twisters, summer tornadoes and smaller events can be tougher to forecast. New research in the Bulletin of the American Meteorological Society presents a method for rating the skill of tornado warnings based on environmental challenges.
Sept. 23-25, a FACETs post-doc orientation meeting and OAR working group are hosted by OWAQ at NSSL's offices in Norman, Oklahoma. The goal of the workshop is to familiarize post-docs with the project and progress on the project, while coordinating ideas for the future of the project during the working group. FACETs is Forecasting a Continuum of Environmental Threats and is a proposed next-generation framework for communicating hazardous weather information to be utilized and developed by labs throughout OAR.
This study used 20 years of Oklahoma Mesonet data to investigate the changes of near surface water vapor mixing ratio (qv) during the afternoon to evening transition (AET). Similar to past studies, increases in qv are found to occur near sunset. Next to known changes in low-level wind shear, these changes in instability and moisture demonstrate new ways the AET can modify the presence of the key ingredients relevant to explaining the climatological increase in severe convective storm hazards around sunset.
Evaluation of numerical weather prediction (NWP) is critical for both forecasters and researchers. Through such evaluation, forecasters can understand the strengths and weaknesses of NWP guidance, and researchers can work to improve NWP models. However, evaluating high-resolution convection-allowing models (CAMs) requires unique verification metrics tailored to high-resolution output, particularly when considering extreme events. Metrics used and fields evaluated often differ between verification studies, hindering the effort to broadly compare CAMs. The purpose of this article is to summarize the development and initial testing of a CAM-based scorecard, which is intended for broad use across research and operational communities and is similar to scorecards currently available within the enhanced Model Evaluation Tools package (METplus) for evaluating coarser models.