MMM: Mesoscale & Microscale Meteorology Laboratory

2020-Oct-13	Gretchen Mullendore chosen to lead NCAR’s Mesoscale & Microscale Meteorology Laboratory	Gretchen Mullendore has been selected to lead the Mesoscale & Microscale Meteorology Laboratory (MMM) at the National Center for Atmospheric Research (NCAR). Mullendore, who currently serves as a professor and chair of the atmospheric sciences department at the University of North Dakota (UND), will join NCAR January 18, 2021.
2020-Aug-26	NCAR to collaborate on national initiative to advance artificial intelligence
2020-Aug-20	Survey: Indigenous populations face unique COVID-19 risks
2020-Aug-03	Hurricane experts available to explain storm behavior, potential impacts	As hurricane season starts to peak, NCAR and UCAR scientists are closely watching the potential for strong winds, torrential rains, and widespread flooding.
2020-May-26	Individualists are less likely to obey hurricane evacuation orders	Residents with individualist world views are less likely to be persuaded by official predictions of risks or evacuate from an approaching hurricane, new research finds.
2020-Mar-30	Steering a (virtual) hurricane: New model gives scientists more control	A new tool developed at NCAR can help scientists better quantify the range of possible impacts from landfalling storms.
2019-Dec-03	NCAR scientists win prestigious AMS, AGU honors
2019-Nov-22	A new frontier in hurricane observations	A new type of disposable drone will enable scientists to collect detailed observations of intense hurricane winds that blast just above the ocean surface near the eyewall.
2019-Aug-15	Communicating coastal storm risks through a sense of place	NCAR is leading a new project studying how maps and other visualizations can help communicate forecasts and help residents better understand the risks to their communities.
2019-Jul-22	Confronting the unpredictable	Even with the ideal computer model and nearly perfect observations, new research confirms what meteorologists have long thought: there's a limit to how far in advance we can forecast the weather.