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Citation: Kenkenberg, Alexander: Real-time Volumetric Cloud Visualization of Meteorological Simulation Data. 28. September 2022. Open Data LMU. 10.5282/ubm/data.311

Real-time Volumetric Cloud Visualization of Meteorological Simulation Data
Real-time Volumetric Cloud Visualization of Meteorological Simulation Data

Notes: This archive contains a cyclone simulation as png/csv files and as Unreal Engine 4.27 assets. Documentation can be found in the linked git repository.

Abstract: I present a concept for visualizing realistic volumetric clouds in real-time in the Unreal Engine using a scientific weather simulation as a basis. From the simulation files, I extract and compress non-linearly spaced variables such as cloud density, rainfall, and wind speed. Cloud density is used as the basis for ray-marched volumetric clouds in Unreal Engine. The clouds use wind speed as a flow map and rain density as a color map. I add Voronoi noise to the clouds and mask it with wind speed to add dynamic detail. I am also able to animate all time steps of the simulation in real-time. A user study shows that most of the added effects improve realism and my implementation is five out of six times more realistic than previous methods. The median performance of a playable prototype on consumer-grade hardware is 128~FPS and meets the performance target.

Volumetric Cloud, Unreal Engine, Python, Real Time, Simulation, Meteorological Simulation
Kenkenberg, Alexander
2022

[thumbnail of Cyclone PNG and CSV Files] Other (Cyclone PNG and CSV Files)
cyclone_png_csv.zip.001 - Supplemental Material

4GB
[thumbnail of Cyclone PNG and CSV Files] Other (Cyclone PNG and CSV Files)
cyclone_png_csv.zip.002 - Supplemental Material

4GB
[thumbnail of Cyclone as PNG and CSV Files] Other (Cyclone as PNG and CSV Files)
cyclone_png_csv.zip.003 - Supplemental Material

4GB
[thumbnail of Cyclone as PNG and CSV Files] Other (Cyclone as PNG and CSV Files)
cyclone_png_csv.zip.004 - Supplemental Material

4GB
[thumbnail of Cyclone as PNG and CSV Files] Other (Cyclone as PNG and CSV Files)
cyclone_png_csv.zip.005 - Supplemental Material

579MB
[thumbnail of Cyclone as Unreal Asset] Other (Cyclone as Unreal Asset)
cloud-thesis_ue_textures.zip.001 - Supplemental Material

4GB
[thumbnail of Cyclone as Unreal Asset] Other (Cyclone as Unreal Asset)
cloud-thesis_ue_textures.zip.002 - Supplemental Material

4GB
[thumbnail of Cyclone as Unreal Asset] Other (Cyclone as Unreal Asset)
cloud-thesis_ue_textures.zip.003 - Supplemental Material

4GB
[thumbnail of Cyclone as Unreal Asset] Other (Cyclone as Unreal Asset)
cloud-thesis_ue_textures.zip.004 - Supplemental Material

4GB
[thumbnail of Cyclone as Unreal Asset] Other (Cyclone as Unreal Asset)
cloud-thesis_ue_textures.zip.005 - Supplemental Material

2GB
[thumbnail of Playable Windows Build of the Gitrepository] Other (Playable Windows Build of the Gitrepository)
CloudThesis_Build_220924_Win_64bit.zip

6GB
[thumbnail of Information about Zip files] Plain Text (Information about Zip files)
README.txt - Supplemental Material

2kB

DOI: 10.5282/ubm/data.311

Official URL: https://gitlab.lrz.de/kenkenberg/cloud-thesis

This dataset is available unter the terms of the following Creative Commons LicenseCC BY 4.0

Abstract

Notes: This archive contains a cyclone simulation as png/csv files and as Unreal Engine 4.27 assets. Documentation can be found in the linked git repository. Abstract: I present a concept for visualizing realistic volumetric clouds in real-time in the Unreal Engine using a scientific weather simulation as a basis. From the simulation files, I extract and compress non-linearly spaced variables such as cloud density, rainfall, and wind speed. Cloud density is used as the basis for ray-marched volumetric clouds in Unreal Engine. The clouds use wind speed as a flow map and rain density as a color map. I add Voronoi noise to the clouds and mask it with wind speed to add dynamic detail. I am also able to animate all time steps of the simulation in real-time. A user study shows that most of the added effects improve realism and my implementation is five out of six times more realistic than previous methods. The median performance of a playable prototype on consumer-grade hardware is 128~FPS and meets the performance target.

Uncontrolled Keywords

Volumetric Cloud, Unreal Engine, Python, Real Time, Simulation, Meteorological Simulation

Item Type:Data
Contact Person:Kenkenberg, Alexander
E-Mail of Contact:alex.kenkenberg at gmail.com
Subjects:Mathematics, Computer Science and Statistics
Physics
Dewey Decimal Classification:500 Natural sciences and mathematics
500 Natural sciences and mathematics > 530 Physics
ID Code:311
Deposited By: Alexander Kenkenberg
Deposited On:30. Sep 2022 08:20
Last Modified:05. Oct 2022 14:48

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