2017
DOI: 10.1175/jas-d-16-0160.1
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Structure Function Analysis of Water Vapor Simulated with a Convection-Permitting Model and Comparison to Airborne Lidar Observations

Abstract: The spatial scale dependence of midlatitude water vapor variability in the high-resolution limited-area model COSMO is evaluated using diagnostics of scaling behavior. Past analysis of airborne lidar measurements showed that structure function scaling exponents depend on the corresponding airmass characteristics, and that a classification of the troposphere into convective and nonconvective layers led to significantly different power-law behaviors for each of these two regimes. In particular, scaling propertie… Show more

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Cited by 4 publications
(6 citation statements)
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“…In all cases, the maps comprise millions of independent measurements making it possible to resolve structures of magnitudes smaller than the single-pixel noise. All acquisitions, including the extreme shallow scaling of flightlines C and D, are in the range of exponents predicted for convective airmasses by Selz et al (2017). This is consistent with the presence of convective clouds in the flightlines.…”
Section: Results: Structure Function Measurementsupporting
confidence: 80%
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“…In all cases, the maps comprise millions of independent measurements making it possible to resolve structures of magnitudes smaller than the single-pixel noise. All acquisitions, including the extreme shallow scaling of flightlines C and D, are in the range of exponents predicted for convective airmasses by Selz et al (2017). This is consistent with the presence of convective clouds in the flightlines.…”
Section: Results: Structure Function Measurementsupporting
confidence: 80%
“…However, their study did not conclusively identify the cause. More recently, Selz et al (2017) compared airborne LiDAR measurements with simulations at scales above 11 km. This study confirmed that power law exponents were strongly related to altitude and the presence or absence of convection.…”
mentioning
confidence: 99%
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“…However, previous analyses have generally been restricted to far larger spatial ranges, with Dorrestijn et al (2018) referring to 55-165 km scale variance as occurring at the "tiny scale". Other examples at higher resolution generally use airborne measurements, with few calculations for separations under 1 km using onboard sensors (Cho et al, 1999), using lidar at 5-100 km (Fischer et al, 2013), or evaluating simulations with lidar for separations > 11 km (Selz et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…However, previous analyses have generally been restricted to far larger spatial ranges with Dorrestijn et al (2018) referring to 55-165 km scale variance as occurring at the "tiny scale". Other examples at higher resolution generally use airborne measurements, with few calculations for separations under 1 km using onboard sensors (Cho et al, 1999), using lidar at 5-100 km (Fischer et al, 2013) or evaluating simulations with lidar for separations >11 km (Selz et al, 2017).…”
mentioning
confidence: 99%