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contributor authorLundquist, Julie K.
contributor authorWilczak, James M.
contributor authorAshton, Ryan
contributor authorBianco, Laura
contributor authorBrewer, W. Alan
contributor authorChoukulkar, Aditya
contributor authorClifton, Andrew
contributor authorDebnath, Mithu
contributor authorDelgado, Ruben
contributor authorFriedrich, Katja
contributor authorGunter, Scott
contributor authorHamidi, Armita
contributor authorIungo, Giacomo Valerio
contributor authorKaushik, Aleya
contributor authorKosović, Branko
contributor authorLangan, Patrick
contributor authorLass, Adam
contributor authorLavin, Evan
contributor authorLee, Joseph C.-Y.
contributor authorMcCaffrey, Katherine L.
contributor authorNewsom, Rob K.
contributor authorNoone, David C.
contributor authorOncley, Steven P.
contributor authorQuelet, Paul T.
contributor authorSandberg, Scott P.
contributor authorSchroeder, John L.
contributor authorShaw, William J.
contributor authorSparling, Lynn
contributor authorMartin, Clara St.
contributor authorPe, Alexandra St.
contributor authorStrobach, Edward
contributor authorTay, Ken
contributor authorVanderwende, Brian J.
contributor authorWeickmann, Ann
contributor authorWolfe, Daniel
contributor authorWorsnop, Rochelle
date accessioned2017-06-09T16:46:05Z
date available2017-06-09T16:46:05Z
date copyright2017/02/01
date issued2016
identifier issn0003-0007
identifier otherams-73741.pdf
identifier urihttp://onlinelibrary.yabesh.ir/handle/yetl/4215888
description abstracto assess current capabilities for measuring flow within the atmospheric boundary layer, including within wind farms, the U.S. Department of Energy sponsored the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) campaign at the Boulder Atmospheric Observatory (BAO) in spring 2015. Herein, we summarize the XPIA field experiment, highlight novel measurement approaches, and quantify uncertainties associated with these measurement methods. Line-of-sight velocities measured by scanning lidars and radars exhibit close agreement with tower measurements, despite differences in measurement volumes. Virtual towers of wind measurements, from multiple lidars or radars, also agree well with tower and profiling lidar measurements. Estimates of winds over volumes from scanning lidars and radars are in close agreement, enabling the assessment of spatial variability. Strengths of the radar systems used here include high scan rates, large domain coverage, and availability during most precipitation events, but they struggle at times to provide data during periods with limited atmospheric scatterers. In contrast, for the deployment geometry tested here, the lidars have slower scan rates and less range but provide more data during nonprecipitating atmospheric conditions. Microwave radiometers provide temperature profiles with approximately the same uncertainty as radio acoustic sounding systems (RASS). Using a motion platform, we assess motion-compensation algorithms for lidars to be mounted on offshore platforms. Finally, we highlight cases for validation of mesoscale or large-eddy simulations, providing information on accessing the archived dataset. We conclude that modern remote sensing systems provide a generational improvement in observational capabilities, enabling the resolution of finescale processes critical to understanding inhomogeneous boundary layer flows.
publisherAmerican Meteorological Society
titleAssessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign
typeJournal Paper
journal volume98
journal issue2
journal titleBulletin of the American Meteorological Society
identifier doi10.1175/BAMS-D-15-00151.1
journal fristpage289
journal lastpage314
treeBulletin of the American Meteorological Society:;2016:;volume( 098 ):;issue: 002
contenttypeFulltext


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