An empirically derived adjustable model for particle size distributions in advection fog

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F24%3A10483925" target="_blank" >RIV/00216208:11320/24:10483925 - isvavai.cz</a>

Result on the web

<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=CY0fb5-~Mx" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=CY0fb5-~Mx</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1111/cgf.15008" target="_blank" >10.1111/cgf.15008</a>

Result language

angličtina

Original language name

An empirically derived adjustable model for particle size distributions in advection fog

Original language description

Realistically modelled atmospheric phenomena are a long-standing research topic in rendering. While significant progress has been made in modelling clear skies and clouds, fog has often been simplified as a medium that is homogeneous throughout, or as a simple density gradient. However, these approximations neglect the characteristic variations real advection fog shows throughout its vertical span, and do not provide the particle distribution data needed for accurate rendering. Based on data from meteorological literature, we developed an analytical model that yields the distribution of particle size as a function of altitude within an advection fog layer. The thickness of the fog layer is an additional input parameter, so that fog layers of varying thickness can be realistically represented. We also demonstrate that based on Mie scattering, one can easily integrate this model into a Monte Carlo renderer. Our model is the first ever non-trivial volumetric model for advection fog that is based on real measurement data, and that contains all the components needed for inclusion in a modern renderer. The model is provided as open source component, and can serve as reference for rendering problems that involve fog layers.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

R - Projekt Ramcoveho programu EK

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Computer Graphics Forum

ISSN

0167-7055

e-ISSN

1467-8659

Volume of the periodical

43

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

10

Pages from-to

e15008

UT code for WoS article

001204422500001

EID of the result in the Scopus database

2-s2.0-85190597213