Capturing Characteristics of Atmospheric Refractivity Using Observations and Modeling Approaches

Abstract

Electromagnetic wave propagation is sensitive to gradients of refractivity derived from atmospheric temperature, humidity, and pressure. It is thus critical to understand the atmospheric conditions leading to the formation of the gradient layers and explore methods to better represent the gradients in forecast models. This study first examines the sensitivity of the surface evaporative ducts to key physical parameters of the atmospheric surface layers. This analytical study is followed by analyses of relationships between the ducting/propagation variables and air-sea interaction parameters using input from buoy-based measurements in diverse meteorological conditions. We further explore numerical simulations using a single column model (SCM) forced by the 3-dimensional Coupled Ocean- Atmosphere Mesoscale Prediction System (COAMPS). This hybrid modeling approach leverages the mesoscale model s strength to provide large-scale forcing while using high vertical resolution simulations to capture the strong gradient layers. The SCM approach works effectively for the stratocumulus-topped boundary layers. Its performance for the cloud-free cases from Trident Warrior 2013 was limited due to the complexity of external forcing in coastal regions. A new blending technique is developed based on SCM to effectively patch the surface evaporative duct to forecasts from COAMPS with consistent model physics throughout the entire atmospheric column.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2015
Accession Number
ADA632291

Entities

People

  • Robin C. Cherrett

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Boundary Layer
  • Energy Transfer
  • Heat Energy
  • Humidity
  • Jet Propulsion
  • Latent Heat
  • Measurement
  • Meteorology
  • Radar
  • Refractive Index
  • Surface Properties
  • Thermodynamics
  • Three Dimensional
  • Turbulence
  • Unmanned Aerial Vehicles
  • Weather Forecasting

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers