Icosahedral maps for a multi-resolution representation of earth data

Mohammad Imrul Jubair; Usman Alim; Niklas Röber; John Clyne; Ali Mahdavi-Amiri

doi:10.2312/vmv.20161355

Icosahedral maps for a multi-resolution representation of earth data

Mohammad Imrul Jubair, Usman Alim, Niklas Röber, John Clyne, Ali Mahdavi-Amiri

Visualization and Analysis Software Team

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

The icosahedral non-hydrostatic (ICON) model is a digital Earth model based on an icosahedral representation and used for numerical weather prediction. In this paper, we introduce icosahedral maps that are designed to fit the geometry of different cell configurations in the ICON model. These maps represent the connectivity information in ICON in a highly structured two-dimensional hexagonal representation that can be adapted to fit different cell configurations. Our maps facilitate the execution of a multiresolution analysis on the ICON model. We demonstrate this by applying a hexagonal version of the discrete wavelet transform in conjunction with our icosahedral maps to decompose ICON data to different levels of detail and to compress it via a thresholding of the wavelet coefficients.

Original language	English
Title of host publication	VMV 2016 - Vision, Modeling and Visualization
Editors	Dieter Fellner
Publisher	Eurographics Association
Pages	161-168
Number of pages	8
ISBN (Electronic)	9783038680253
DOIs	https://doi.org/10.2312/vmv.20161355
State	Published - 2016
Event	21st International Symposium on Vision, Modeling and Visualization, VMV 2016 - Bayreuth, Germany Duration: Oct 10 2016 → Oct 12 2016

Publication series

Name	VMV 2016 - Vision, Modeling and Visualization

Conference

Conference	21st International Symposium on Vision, Modeling and Visualization, VMV 2016
Country/Territory	Germany
City	Bayreuth
Period	10/10/16 → 10/12/16

Access to Document

10.2312/vmv.20161355

Cite this

@inproceedings{7c764a1646d74ad195a3e5147cd598fa,

title = "Icosahedral maps for a multi-resolution representation of earth data",

abstract = "The icosahedral non-hydrostatic (ICON) model is a digital Earth model based on an icosahedral representation and used for numerical weather prediction. In this paper, we introduce icosahedral maps that are designed to fit the geometry of different cell configurations in the ICON model. These maps represent the connectivity information in ICON in a highly structured two-dimensional hexagonal representation that can be adapted to fit different cell configurations. Our maps facilitate the execution of a multiresolution analysis on the ICON model. We demonstrate this by applying a hexagonal version of the discrete wavelet transform in conjunction with our icosahedral maps to decompose ICON data to different levels of detail and to compress it via a thresholding of the wavelet coefficients.",

author = "Jubair, \{Mohammad Imrul\} and Usman Alim and Niklas R{\"o}ber and John Clyne and Ali Mahdavi-Amiri",

note = "Publisher Copyright: {\textcopyright} 2016 The Author(s) Eurographics Proceedings {\textcopyright} 2016 The Eurographics Association.; 21st International Symposium on Vision, Modeling and Visualization, VMV 2016 ; Conference date: 10-10-2016 Through 12-10-2016",

year = "2016",

doi = "10.2312/vmv.20161355",

language = "English",

series = "VMV 2016 - Vision, Modeling and Visualization",

publisher = "Eurographics Association",

pages = "161--168",

editor = "Dieter Fellner",

booktitle = "VMV 2016 - Vision, Modeling and Visualization",

address = "Switzerland",

}

Jubair, MI, Alim, U, Röber, N, Clyne, J & Mahdavi-Amiri, A 2016, Icosahedral maps for a multi-resolution representation of earth data. in D Fellner (ed.), VMV 2016 - Vision, Modeling and Visualization. VMV 2016 - Vision, Modeling and Visualization, Eurographics Association, pp. 161-168, 21st International Symposium on Vision, Modeling and Visualization, VMV 2016, Bayreuth, Germany, 10/10/16. https://doi.org/10.2312/vmv.20161355

Icosahedral maps for a multi-resolution representation of earth data. / Jubair, Mohammad Imrul; Alim, Usman; Röber, Niklas et al.
VMV 2016 - Vision, Modeling and Visualization. ed. / Dieter Fellner. Eurographics Association, 2016. p. 161-168 (VMV 2016 - Vision, Modeling and Visualization).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Icosahedral maps for a multi-resolution representation of earth data

AU - Jubair, Mohammad Imrul

AU - Alim, Usman

AU - Röber, Niklas

AU - Clyne, John

AU - Mahdavi-Amiri, Ali

PY - 2016

Y1 - 2016

N2 - The icosahedral non-hydrostatic (ICON) model is a digital Earth model based on an icosahedral representation and used for numerical weather prediction. In this paper, we introduce icosahedral maps that are designed to fit the geometry of different cell configurations in the ICON model. These maps represent the connectivity information in ICON in a highly structured two-dimensional hexagonal representation that can be adapted to fit different cell configurations. Our maps facilitate the execution of a multiresolution analysis on the ICON model. We demonstrate this by applying a hexagonal version of the discrete wavelet transform in conjunction with our icosahedral maps to decompose ICON data to different levels of detail and to compress it via a thresholding of the wavelet coefficients.

AB - The icosahedral non-hydrostatic (ICON) model is a digital Earth model based on an icosahedral representation and used for numerical weather prediction. In this paper, we introduce icosahedral maps that are designed to fit the geometry of different cell configurations in the ICON model. These maps represent the connectivity information in ICON in a highly structured two-dimensional hexagonal representation that can be adapted to fit different cell configurations. Our maps facilitate the execution of a multiresolution analysis on the ICON model. We demonstrate this by applying a hexagonal version of the discrete wavelet transform in conjunction with our icosahedral maps to decompose ICON data to different levels of detail and to compress it via a thresholding of the wavelet coefficients.

UR - https://www.scopus.com/pages/publications/85019543797

U2 - 10.2312/vmv.20161355

DO - 10.2312/vmv.20161355

M3 - Conference contribution

AN - SCOPUS:85019543797

T3 - VMV 2016 - Vision, Modeling and Visualization

SP - 161

EP - 168

BT - VMV 2016 - Vision, Modeling and Visualization

A2 - Fellner, Dieter

PB - Eurographics Association

T2 - 21st International Symposium on Vision, Modeling and Visualization, VMV 2016

Y2 - 10 October 2016 through 12 October 2016

ER -

Icosahedral maps for a multi-resolution representation of earth data

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