标題：A high-fidelity multiresolution digital elevation model for Earth systems作者：Duan, Xinqiao; Li, Lin; Zhu, Haihong; Ying, Shen

來源出版物：GEOSCIENTIFIC MODEL DEVELOPMENT 卷：10 期：1 頁碼：239-253 DOI：10.5194/gmd-10-239-2017 出版年：JAN 16 2017

摘要：The impact of topography on Earth systems variability is well recognised. As numerical simulations evolved to incorporate broader scales and finer processes, accurately assimilating or transforming the topography to produce more exact land-atmosphere-ocean interactions, has proven to be quite challenging. Numerical schemes of Earth systems often use empirical parameterisation at sub-grid scale with downscaling to express topographic endogenous processes, or rely on insecure point interpolation to induce topographic forcing, which creates bias and input uncertainties. Digital elevation model (DEM) generalisation provides more sophisticated systematic topographic transformation, but existing methods are often difficult to be incorporated because of unwarranted grid quality. Meanwhile, approaches over discrete sets often employ heuristic approximation, which are generally not best performed. Based on DEM generalisation, this article proposes a high-fidelity multiresolution DEM with guaranteed grid quality for Earth systems. The generalised DEM surface is initially approximated as a triangulated irregular network (TIN) via selected feature points and possible input features. The TIN surface is then optimised through an energy-minimised centroidal Voronoi tessellation (CVT). By devising a robust discrete curvature as density function and exact geometry clipping as energy reference, the developed curvature CVT (cCVT) converges, the generalised surface evolves to a further approximation to the original DEM surface, and the points with the dual triangles become spatially equalised with the curvature distribution, exhibiting a quasi-uniform high-quality and adaptive variable resolution. The cCVT model was then evaluated on real lidar-derived DEM datasets and compared to the classical heuristic model. The experimental results show that the cCVT multiresolution model outperforms classical heuristic DEM generalisations in terms of both surface approximation precision and surface morphology retention.

入藏号：WOS:000393685500002

文獻類型：Article

語種：English

擴展關鍵詞：CENTROIDAL VORONOI TESSELLATIONS; SHALLOW-WATER EQUATIONS; COMPLEX TERRAIN; OPTIMAL TRANSPORT; FLOOD INUNDATION; RESOLUTION; MESHES; INTERPOLATION; DIAGRAMS; SENSITIVITY

通訊作者地址：Li, L (reprint author), Wuhan Univ, SRES Sch, Geog Informat Sci Fac, Wuhan 430079, Peoples R China.

Wuhan Univ, Geospatial Informat Sci Collaborat Innovat Ctr, Wuhan 430079, Peoples R China.

Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

電子郵件地址：lilin@whu.edu.cn

地址：

[Duan, Xinqiao; Li, Lin; Zhu, Haihong; Ying, Shen] Wuhan Univ, SRES Sch, Geog Informat Sci Fac, Wuhan 430079, Peoples R China.

[Duan, Xinqiao] Hubei Geomat Informat Ctr, Wuhan 430074, Peoples R China.

[Li, Lin] Wuhan Univ, Geospatial Informat Sci Collaborat Innovat Ctr, Wuhan 430079, Peoples R China.

[Li, Lin; Zhu, Haihong; Ying, Shen] Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

研究方向：Geology

ISSN：1991-959X

eISSN: 1991-9603

影響因子：3.549