MMM: Mesoscale & Microscale Meteorology Laboratory

2017-Aug-25	NCAR\|UCAR hurricane experts available to explain storm behavior, potential impacts	The scientists are observing the potentially deadly storm and testing high-resolution computer models.
2017-Jun-21	UCAR collaboration with The Weather Company to improve weather forecasts worldwide	The partnership will leverage the innovative MPAS software platform to advance the accuracy of forecasts with longer lead times.
2017-Jun-09	Offshore wind turbines vulnerable to Category 5 hurricane gusts	Offshore wind turbines built to current standards may not be able to withstand the powerful gusts of a Category 5 hurricane.
2016-Dec-05	Extreme downpours could increase fivefold across parts of the U.S.	At century's end, the number of summertime storms that produce extreme downpours could increase by more than 400 percent across parts of the United States.
2016-Nov-01	High-res model captures explosive increase in hurricane strength	An advanced version of the Weather Research and Forecasting model (WRF-ARW) accurately forecast Hurricane Patricia's rapid intensification when run at a high enough resolution.
2016-Oct-18	Soil moisture, snowpack data could help predict 'flash droughts'	New research suggests that "flash droughts" — like the one that unexpectedly gripped the Southern Rockies and Midwest in the summer of 2012 — could be predicted months in advance using soil moisture and snowpack data.
2016-Oct-06	Advanced computer model focuses on Hurricane Matthew	As Hurricane Matthew churns toward the southeastern U.S. coast, NCAR scientists study how well MPAS can predict it.
2016-Jul-01	NCAR weather ensemble offers glimpse at forecasting's future	NCAR's ensemble forecasting system has become a favorite among professional weather forecasters and atmospheric researchers.
2016-May-18	Sizing up cyclones	NCAR scientists have developed a new index for quantifying a hurricane's ability to cause destruction.
2016-May-17	A 3D window into a tornado	Scientists use advanced software to visualize details of the powerful storms.