2015 USNC-URSI Radio Science Meeting (Joint With AP-S Symposium) 2015
DOI: 10.1109/usnc-ursi.2015.7303526
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Further improvements and validation for the Navy Atmospheric Vertical Surface Layer Model (NAVSLaM)

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Cited by 24 publications
(19 citation statements)
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“…The MAGIC data can be used for this purpose although the spatial coverage is limited. The EDH climatology data we used here were computed using the Navy Atmospheric Vertical Surface Layer Model (NAVSLaM) [ Frederickson , ]. The input to NAVSLaM is the atmospheric temperature and specific humidity at 2 m, wind speed at 10 m in the Climate Forecast System Reanalysis data set.…”
Section: Comparison Of Observations With Climatologysupporting
confidence: 91%
“…The MAGIC data can be used for this purpose although the spatial coverage is limited. The EDH climatology data we used here were computed using the Navy Atmospheric Vertical Surface Layer Model (NAVSLaM) [ Frederickson , ]. The input to NAVSLaM is the atmospheric temperature and specific humidity at 2 m, wind speed at 10 m in the Climate Forecast System Reanalysis data set.…”
Section: Comparison Of Observations With Climatologysupporting
confidence: 91%
“…Depending on whether an "instantaneous" or "time-averaged" (i.e., turbulence is averaged out) predictive capability is needed, there have been two primary approaches to solving this environmental issue. The first, which addresses more of the time-averaged atmospheric condition scenario, is the development of robust numerical weather prediction (NWP) approaches [Fairall et al, 1996[Fairall et al, , 2003Haack et al, 2010;Frederickson et al, 2008;Frederickson, 2010]. For the "instantaneous" conditions, inversion approaches have become the most commonly implemented method, such as refractivity from clutter (RFC) techniques [Rogers et al, 2000;Gerstoft et al, 2003;Karimian et al, 2011Karimian et al, , 2013.…”
Section: Introductionmentioning
confidence: 99%
“…NAVSLaM is the U.S. Navy model for characterizing nearsurface radio-frequency refractivity over the ocean. NAVSLaM employs the Monin-Obukhov similarity theory (MOST) to find the air-sea fluxes, and, in conjunction with near-surface profiles of temperature and humidity, determines modified refractivity profiles [2]. In what follows, these profiles are taken as "ground truth" in comparison with XBBR determined estimates.…”
Section: Socal 2013 Resultsmentioning
confidence: 99%
“…The propagation loss between transmitters at multiple heights and receivers at multiple heights was measured, and the received power recorded at each of the receivers from each of the transmitters, standardized by the total received power, was compared to Variable Terrain Radio Parabolic Equation (VTRPE) [1] model predictions in order to estimate the EDH. Point meteorological data was also recorded and used with the Navy Atmospheric Vertical Surface Layer Model (NAVSLaM) [2] to obtain in-situ measurements of the EDH. Comparisons show a high degree of correlation between EDH values inferred from XBBR and from meteorological information.…”
mentioning
confidence: 99%