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contributor authorFernando, H. J. S.
contributor authorPardyjak, E. R.
contributor authorDi Sabatino, S.
contributor authorChow, F. K.
contributor authorDe Wekker, S. F. J.
contributor authorHoch, S. W.
contributor authorHacker, J.
contributor authorPace, J. C.
contributor authorPratt, T.
contributor authorPu, Z.
contributor authorSteenburgh, W. J.
contributor authorWhiteman, C. D.
contributor authorWang, Y.
contributor authorZajic, D.
contributor authorBalsley, B.
contributor authorDimitrova, R.
contributor authorEmmitt, G. D.
contributor authorHiggins, C. W.
contributor authorHunt, J. C. R.
contributor authorKnievel, J. C.
contributor authorLawrence, D.
contributor authorLiu, Y.
contributor authorNadeau, D. F.
contributor authorKit, E.
contributor authorBlomquist, B. W.
contributor authorConry, P.
contributor authorCoppersmith, R. S.
contributor authorCreegan, E.
contributor authorFelton, M.
contributor authorGrachev, A.
contributor authorGunawardena, N.
contributor authorHang, C.
contributor authorHocut, C. M.
contributor authorHuynh, G.
contributor authorJeglum, M. E.
contributor authorJensen, D.
contributor authorKulandaivelu, V.
contributor authorLehner, M.
contributor authorLeo, L. S.
contributor authorLiberzon, D.
contributor authorMassey, J. D.
contributor authorMcEnerney, K.
contributor authorPal, S.
contributor authorPrice, T.
contributor authorSghiatti, M.
contributor authorSilver, Z.
contributor authorThompson, M.
contributor authorZhang, H.
contributor authorZsedrovits, T.
date accessioned2017-06-09T16:45:03Z
date available2017-06-09T16:45:03Z
date copyright2015/11/01
date issued2015
identifier issn0003-0007
identifier otherams-73443.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215558
description abstractmerging 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.
publisherAmerican Meteorological Society
titleThe MATERHORN: Unraveling the Intricacies of Mountain Weather
typeJournal Paper
journal volume96
journal issue11
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-13-00131.1
journal fristpage1945
journal lastpage1967
treeBulletin of the American Meteorological Society:;2015:;volume( 096 ):;issue: 011
contenttypeFulltext


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