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  Upscaling with the dynamic two-layer classification concept (D2C): TreeMig-2L, an efficient implementation of the forest-landscape model TreeMig

Nabel, J. E. M. S. (2015). Upscaling with the dynamic two-layer classification concept (D2C): TreeMig-2L, an efficient implementation of the forest-landscape model TreeMig. Geoscientific Model Development, 8, 3563-3577. doi:10.5194/gmd-8-3563-2015.

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資料種別: 学術論文

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gmd-8-3563-2015.pdf (出版社版), 4MB
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https://hdl.handle.net/11858/00-001M-0000-0028-FB77-3
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gmd-8-3563-2015.pdf
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application/pdf / [MD5]
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gmd-8-3563-2015-supplement.pdf (出版社版), 5MB
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https://hdl.handle.net/11858/00-001M-0000-0028-FB78-1
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gmd-8-3563-2015-supplement.pdf
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Supplement
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 作成者:
Nabel, Julia E. M. S.1, 著者                 
所属:
1Emmy Noether Junior Research Group Forest Management in the Earth System, The Land in the Earth System, MPI for Meteorology, Max Planck Society, ou_1832286              

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 要旨: Models used to investigate impacts of climatic changes on spatio-temporal vegetation dynamics need to balance required accuracy with computational feasibility. To enhance the computational efficiency of these models, upscaling methods are required that maintain key fine-scale processes influencing vegetation dynamics. In this paper, an adjustable method – the dynamic two-layer classification concept (D2C) – for the upscaling of time- and space-discrete models is presented. D2C aims to separate potentially repetitive calculations from those specific to single grid cells. The underlying idea is to extract processes that do not require information about a grid cell's neighbourhood to a reduced-size non-spatial layer, which is dynamically coupled to the original two-dimensional layer. The size of the non-spatial layer is thereby adaptive and depends on dynamic classifications according to pre-specified similarity criteria. I present how D2C can be used in a model implementation on the example of TreeMig-2L, a new, efficient version of the intermediate-complexity forest-landscape model TreeMig. To discuss the trade-off between computational expenses and accuracy, as well as the applicability of D2C, I compare different model stages of TreeMig-2L via simulations of two different application scenarios. This comparison of different model stages demonstrates that applying D2C can strongly reduce computational expenses of processes calculated on the new non-spatial layer. D2C is thus a valuable upscaling method for models and applications in which processes requiring information about the neighbourhood constitute the minor share of the overall computational expenses.

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言語: eng - English
 日付: 2015-11-052015-11-05
 出版の状態: 出版
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 査読: 査読あり
 識別子(DOI, ISBNなど): DOI: 10.5194/gmd-8-3563-2015
 学位: -

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出版物 1

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出版物名: Geoscientific Model Development
  省略形 : GMD
種別: 学術雑誌
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出版社, 出版地: -
ページ: - 巻号: 8 通巻号: - 開始・終了ページ: 3563 - 3577 識別子(ISBN, ISSN, DOIなど): その他: 1991-959X
CoNE: https://pure.mpg.de/cone/journals/resource/1991-959X