TY - JOUR
T1 - Watershed System Model
T2 - The Essentials to Model Complex Human-Nature System at the River Basin Scale
AU - Li, Xin
AU - Cheng, Guodong
AU - Lin, Hui
AU - Cai, Ximing
AU - Fang, Miao
AU - Ge, Yingchun
AU - Hu, Xiaoli
AU - Chen, Min
AU - Li, Weiyue
N1 - Funding Information:
This work is supported by the National Natural Science Foundation of China (grants 91425303 and 41630856) and the National Key Basic Research Program of China (2015CB954103). We thank Dawen Yang, Chunmiao Zheng, Xiangzheng Deng, Junguo Liu, and Xujun Han for their valuable comments. All the data related to this work are available at the data center of the “Integrated research on the eco- hydrological process of the Heihe River basin” (http://www.heihedata.org) and the World Data System Cold and Arid Regions Science Data Center (http:// card.westgis.ac.cn).
PY - 2018/3/27
Y1 - 2018/3/27
N2 - Watershed system models are urgently needed to understand complex watershed systems and to support integrated river basin management. Early watershed modeling efforts focused on the representation of hydrologic processes, while the next-generation watershed models should represent the coevolution of the water-land-air-plant-human nexus in a watershed and provide capability of decision-making support. We propose a new modeling framework and discuss the know-how approach to incorporate emerging knowledge into integrated models through data exchange interfaces. We argue that the modeling environment is a useful tool to enable effective model integration, as well as create domain-specific models of river basin systems. The grand challenges in developing next-generation watershed system models include but are not limited to providing an overarching framework for linking natural and social sciences, building a scientifically based decision support system, quantifying and controlling uncertainties, and taking advantage of new technologies and new findings in the various disciplines of watershed science. The eventual goal is to build transdisciplinary, scientifically sound, and scale-explicit watershed system models that are to be codesigned by multidisciplinary communities.
AB - Watershed system models are urgently needed to understand complex watershed systems and to support integrated river basin management. Early watershed modeling efforts focused on the representation of hydrologic processes, while the next-generation watershed models should represent the coevolution of the water-land-air-plant-human nexus in a watershed and provide capability of decision-making support. We propose a new modeling framework and discuss the know-how approach to incorporate emerging knowledge into integrated models through data exchange interfaces. We argue that the modeling environment is a useful tool to enable effective model integration, as well as create domain-specific models of river basin systems. The grand challenges in developing next-generation watershed system models include but are not limited to providing an overarching framework for linking natural and social sciences, building a scientifically based decision support system, quantifying and controlling uncertainties, and taking advantage of new technologies and new findings in the various disciplines of watershed science. The eventual goal is to build transdisciplinary, scientifically sound, and scale-explicit watershed system models that are to be codesigned by multidisciplinary communities.
KW - decision support system
KW - human-nature system
KW - integration
KW - modeling environment
KW - water-land-air-plant-human nexus
KW - watershed model
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U2 - 10.1002/2017JD028154
DO - 10.1002/2017JD028154
M3 - Comment/debate
AN - SCOPUS:85044848374
SN - 2169-897X
VL - 123
SP - 3019
EP - 3034
JO - Journal of Geophysical Research: Atmospheres
JF - Journal of Geophysical Research: Atmospheres
IS - 6
ER -