The MATERHORN: Unraveling the Intricacies of Mountain Weather
|Authors:||Fernando, H. J. S.|
|Resource type:||Composite Resource|
|Created:||Mar 31, 2018 at 9:18 p.m.|
|Last updated:||Apr 09, 2018 at 8:27 p.m. by CTEMPs OSU-UNR|
Emerging application areas such as air pollution in megacities, wind energy, urban security, and operation of unmanned aerial vehicles have intensified scientific and societal interest in mountain meteorology. To address scientific needs and help improve the prediction of mountain weather, the U.S. Department of Defense has funded a research effort—the Mountain Terrain Atmospheric Modeling and Observations (MATERHORN) Program—that draws the expertise of a multidisciplinary, multi-institutional, and multinational group of researchers. The program has four principal thrusts, encompassing modeling, experimental, technology, and parameterization components, directed at diagnosing model deficiencies and critical knowledge gaps, conducting experimental studies, and developing tools for model improvements. The access to the Granite Mountain Atmospheric Sciences Testbed of the U.S. Army Dugway Proving Ground, as well as to a suite of conventional and novel high-end airborne and surface measurement platforms, has provided an unprecedented opportunity to investigate phenomena of time scales from a few seconds to a few days, covering spatial extents of tens of kilometers down to millimeters. This article provides an overview of the MATERHORN and a glimpse at its initial findings. Orographic forcing creates a multitude of time-dependent submesoscale phenomena that contribute to the variability of mountain weather at mesoscale. The nexus of predictions by mesoscale model ensembles and observations are described, identifying opportunities for further improvements in mountain weather forecasting.
Raw project data is available by contacting firstname.lastname@example.org
air pollution,orographic,mountain meteorology,CTEMPs,DTS,MATERHORN,fiber optic
How to cite
This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/
|Fernando, H. J. S.|
Select content in the file browser to see metadata specific to that content. Metadata will only display here when the the content is selected above. Content specific metadata does not display on the Discover page.
Please wait for the process to complete.