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Yongjiu Dai
Researcher at Sun Yat-sen University
Publications - 151
Citations - 11540
Yongjiu Dai is an academic researcher from Sun Yat-sen University. The author has contributed to research in topics: Snow & Precipitation. The author has an hindex of 47, co-authored 129 publications receiving 9537 citations. Previous affiliations of Yongjiu Dai include Georgia Institute of Technology & Academia Sinica.
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Journal ArticleDOI
The Common Land Model
Yongjiu Dai,Xubin Zeng,Robert E. Dickinson,Ian Baker,Gordon B. Bonan,Michael G. Bosilovich,A. Scott Denning,Paul A. Dirmeyer,Paul R. Houser,Guo Yue Niu,Keith W. Oleson,C. Adam Schlosser,Zong-Liang Yang +12 more
TL;DR: The Common Land Model (CLM) as mentioned in this paper was developed for community use by a grassroots collaboration of scientists who have an interest in making a general land model available for public use and further development.
Technical Description of the Community Land Model (CLM)
Keith W. Oleson,Yongjiu Dai,B. Bonan,Mike Bosilovichm,Robert E. Dickinson,Paul A. Dirmeyer,Forrest M. Hoffman,Paul R. Houser,Samuel Levis,Guo Yue Niu,Peter E. Thornton,Mariana Vertenstein,Zong-Liang Yang,Xubin Zeng +13 more
Journal ArticleDOI
The land surface climatology of the community land model coupled to the NCAR community climate model
Gordon B. Bonan,Keith W. Oleson,Mariana Vertenstein,Samuel Levis,Xubin Zeng,Yongjiu Dai,Robert E. Dickinson,Zong-Liang Yang +7 more
TL;DR: In this paper, the community land model (CLM2) was proposed, where the surface is represented by five primary subgrid land cover types (glacier, lake, wetland, urban, vegetated) in each grid cell.
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A Two-Big-Leaf Model for Canopy Temperature, Photosynthesis, and Stomatal Conductance
TL;DR: In this article, a two-big-leaf model was proposed to simulate the responses of stomatal conductance to changes in atmospheric and soil environments, and the model was incorporated into the Common Land Model (CLM) and is denoted CLM 2L.
Journal ArticleDOI
A global soil data set for earth system modeling
TL;DR: The Global Soil Dataset (GSDE) as discussed by the authors provides soil information such as soil particle-size distribution, organic carbon, and nutrients, and quality control information in terms of confidence level at 30″ × 30″ horizontal resolution and for eight vertical layers to a depth of 2.3 m.