Building a Virtual Ecosystem Dynamic Model for Root Research |
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| Affiliation: | 1. Department of Geography, University of Tennessee, Knoxville, TN, USA;2. Environmental Science Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN, USA;3. Senseable City Laboratory, SMART Centre, Singapore 138602, Singapore;1. Department of Plant Science, University of Manitoba, 222 Agriculture Building, 66 Dafoe Road, Winnipeg, MB R3T 2N2, Canada;2. Department of Soil Science, University of Manitoba, 262 Ellice Building, 13 Feedman Crescent, Winnipeg, MB R3T 2N2, Canada;3. The James Hutton Institute, Invergowrie, Dundee, DD2 5DA, UK;1. College of Computer, Henan Institute of Engineering, Henan 451191, PR China;2. College of Computer, Chongqing University, Chongqing 400044, PR China;1. Division of Dynamics, Lodz University of Technology, 1/15 Stefanowskiego St., Poland;2. Institute of Mathematics, Lodz University of Technology, 215 Wolczanska St., Poland;1. Department of Surgery, City of Hope National Medical Center, Duarte, CA;2. Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea;3. Department of Biostatistics, Yonsei University College of Medicine, Seoul, Republic of Korea;4. Gastric Cancer Center, Yonsei Cancer Hospital, Seoul, Republic of Korea;5. Robot and MIS Center, Severance Hospital, Yonsei University Health System, Seoul, Republic of Korea |
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| Abstract: | Understanding the fundamental mechanistic processes within large environmental models has great implications in model interpretation and future improvement. However, obtaining a good understanding of these processes can be challenging due to the complexities in model structures and software configurations. This paper introduces a functional test framework - with unique approaches to tackling software complexities in large environmental models – to facilitate process-based model exploration and validation. A Virtual Ecosystem Dynamic Model is developed as a case study to better understand and validate root-related processes in the Community Land Model (CLM). The proposed framework could help empiricists better access the inner workings of large environmental models, and facilitate integrative collaborations among broad scientific communities including field scientists, environmental system modelers, and computer scientists. |
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| Keywords: | Functional test framework Community Land Model Root function Ecosystem processes |
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