Hydrolight 3.0 User's Guide.

Abstract

HYDROLIGHT 3.0 is a radiative transfer numerical model that computes spectral radiance distributions and related quantities for natural water bodies. The model solves the time-independent, one-dimensional radiative transfer equation using computationally efficient techniques based on invariant imbedding theory. Input to the model consists of information about the absorbing and scattering properties of the water body, about the sky radiance incident on the water surface, about the state of the wind-blown sea surface, and about the bottom of the water column. The water optical properties can vary arbitrarily with depth and wavelength. The model includes internal sources such as bioluminescence, fluorescence by chlorophyll and by dissolved organic matter, and Raman scattering. Output from the model includes the spectral radiance as a function of depth, direction, and wavelength as well as derived quantities such as irradiances, reflectances, and diffuse attenuation functions. This report is a self-contained guide to running the HYDROLIGHT 3.0 model, which is written in FORTRAN 77. The report first gives a descriptive overview of the HYDROLIGHT 3.0 model. Input to the model is then described in detail. The report includes graphical examples of the model's output. (MM)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1995
Accession Number
ADA299649

Entities

People

  • Curtis D. Mobley

Organizations

  • SRI International

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Cloud Cover
  • Computer Programming
  • Computer Programs
  • Computers
  • Differential Equations
  • Digital Data
  • Equations
  • Forward Scattering
  • Operating Systems
  • Optical Properties
  • Optics
  • Radiative Transfer
  • Raman Scattering
  • Reflectance
  • Remote Sensing
  • Scattering
  • Solar Spectrum

Readers

  • Atmospheric Remote Sensing.
  • Coastal Oceanography
  • Computational Modeling and Simulation