Center for Global Change and Earth Observation, Department of Geography, Michigan State University, East Lansing, MI, 48824, USA
Zexia Duan
Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
Zhiqiu Gao
Collaborative Innovation Centre on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing, 210044, China
State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
Hiroki Iwata
Department of Environmental Science, Faculty of Science, Shinshu University, Nagano 390-8621, Japan
Joseph P. McFadden
Department of Geography, University of California, Santa Barbara, CA, 93106, USA
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Total article views: 2,659 (including HTML, PDF, and XML)
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1,947
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129
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BibTeX: 97
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Total article views: 3,648 (including HTML, PDF, and XML)
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Total article views: 2,659 (including HTML, PDF, and XML)
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This paper extends the applicability of the SUEWS to extensive pervious areas outside cities. We derived various parameters such as leaf area index, albedo, roughness parameters and surface conductance for non-urban areas. The relation between LAI and albedo is also explored. The methods and parameters discussed can be used for both online and offline simulations. Using appropriate parameters related to non-urban areas is essential for assessing urban–rural differences.
This paper extends the applicability of the SUEWS to extensive pervious areas outside cities. We...
