MMM: Mesoscale & Microscale Meteorology Laboratory

2018-Jul-24	Fanning the flames of megafires	Detailed observations and modeling of a California megafire highlight the role of small-scale winds in driving a conflagration.
2018-Apr-17	Past tornado experience shapes perception of risk	People's past experiences with tornadoes inform how they approach this type of extreme weather in the future, including their perception of the risk.
2017-Nov-20	North American storm clusters could produce 80 percent more rain	Storm clusters known as mesoscale convective systems will pose a much greater flooding risk later this century in a warming climate.
2017-Nov-14	UCAR Congressional Briefing: Moving research to industry
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.