Remote Sensing of the Refractive Environment Above the Marine Stratocumulus-Topped Boundary Layer

Abstract

Electro-Magnetic propagation paths are subject to refraction as they travel through moisture and temperature gradients found within the inversion layer at the top of the stratocumulus-topped marine boundary layers (STBL). The NPS Meteorology Department is developing an automated program called SEMEO (Satellite Electro-Magnetic Electro-Optical) that will use remote sensors to estimate the cloud-top height, and characterize the ducting conditions over large regions. In addition to estimating the location and strength of elevated ducts, the probability that each duct will reach the surface will also be assigned by the SEMEO program. This thesis tests the SEMEO program with a unique dataset and provides recommendations as appropriate. Results indicate that the SEMEO cloud-top height algorithm has the most success when the inversion layer is greater than 400m, there is a troughing pattern aloft (500mb level), and there is greater than three degrees Celsius difference between the cloud-top and surface temperature. The SEMEO refractive algorithm over estimates the duct strength by ~100% for shallow boundary layer cases (<400m), and overestimates their corresponding trapping layer depth by ~20%. For deeper boundary layer cases the duct strength was well represented, however, the trapping layer depth was over estimated by ~33%.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2006
Accession Number
ADA457016

Entities

People

  • Dennis T. Derley

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Satellites
  • Boundaries
  • Boundary Layer
  • California
  • Detectors
  • Geosynchronous Orbits
  • Lapse Rate
  • Measurement
  • Meteorology
  • Refractive Index
  • Remote Detectors
  • Sea Surface Temperature
  • Surface Temperature
  • Temperature Gradients
  • Temperature Inversion
  • United States

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers

Technology Areas

  • Space