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Related Experiment Video

Updated: Jul 8, 2026

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
13:27

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

Published on: June 8, 2015

Comment on "improved ray tracing air mass numbers model".

Siebren Y van der Werf1

  • 1University of Groningen, Groningen, The Netherlands. vdwerf@kvi.nl

Applied Optics
|January 12, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a novel ray tracing method using path length for calculating air mass, avoiding traditional integration singularities. This approach offers a more robust and accurate way to measure atmospheric conditions.

Related Experiment Videos

Last Updated: Jul 8, 2026

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
13:27

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

Published on: June 8, 2015

Area of Science:

  • Atmospheric optics
  • Radiative transfer
  • Geophysics

Background:

  • Traditional air mass calculations integrate using height, leading to singularities at the horizon.
  • Existing methods require ad hoc solutions to manage these inherent mathematical issues.

Discussion:

  • This research surveys integration methods, including height, zenith angle, and path length.
  • Ray tracing by path length effectively bypasses horizon and zenith singularities.
  • A fourth-order Runge-Kutta scheme treats refraction and air mass as path integrals.

Key Insights:

  • Path length integration in ray tracing offers a singularity-free method for air mass determination.
  • The proposed numerical integration scheme enhances accuracy in atmospheric modeling.
  • Atmospheric constituent contributions can be optionally separated within the path integral framework.

Outlook:

  • This method could improve atmospheric remote sensing and climate modeling.
  • Further research may explore applications in astronomical observations and air quality monitoring.
  • Refinement of the numerical scheme could lead to real-time atmospheric parameter estimation.