Toward the assimilation of the atmospheric surface layer using numerical weather prediction and radar clutter observations

TitleToward the assimilation of the atmospheric surface layer using numerical weather prediction and radar clutter observations
Publication TypeJournal Article
Year of Publication2013
AuthorsKarimian A., Yardim C, Haack T., Gerstoft P, Hodgkiss WS, Rogers T.
JournalJournal of Applied Meteorology and Climatology
Volume52
Pagination2345-2355
Date Published2013/10
ISBN Number1558-8424
Accession NumberWOS:000325482000010
Abstract

Radio wave propagation on low-altitude paths over the ocean above 2 GHz  is significantly affected by negative refractivity gradients in the  atmospheric surface layer, which form what is often referred to as an  evaporation duct (ED). Refractivity from clutter (RFC) is an inversion  approach for the estimation of the refractivity profile from radar  clutter, and RFC-ED refers to its implementation for the case of  evaporation ducts. An approach for fusing RFC-ED output with evaporation  duct characterization that is based on ensemble forecasts from a  numerical weather prediction (NWP) model is examined here. Three  conditions of air-sea temperature difference (ASTD) are examined.  Synthetic radar clutter observations are generated using the Advanced  Propagation Model. The impacts of ASTD on the evaporation duct  refractivity profile, atmospheric parameter inversion, and propagation  factor distributions are studied. Relative humidity at a reference  height and ASTD are identified as state variables. Probability densities  from NWP ensembles, RFC-ED, and joint inversions are compared. It is  demonstrated that characterization of the near-surface atmosphere by  combining RFC-ED and NWP reduces the estimation uncertainty of ASTD and  relative humidity in an evaporation duct, with respect to using either  method alone.

 

Short TitleJ. Appl. Meteorol. Climatol.
Integrated Research Themes: 
Student Publication: 
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