Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations

Yao, Yunjun; Liang, Shunlin; Li, Xianglan; Liu, Shaomin; Chen, Jiquan; Zhang, Xiaotong; Jia, Kun; Jiang, Bo; Xie, Xianhong; Munier, Simon; Liu, Meng; Yu, Jian; Lindroth, Anders; Varlagin, Andrej; Raschi, Antonio; Noormets, Asko; Pio, Casimiro; Wohlfahrt, Georg; Sun, Ge; Domec, Jean-Christophe; Montagnani, Leonardo; Lund, Magnus; Eddy, Moors; Blanken, Peter D.; Grünwald, Thomas; Wolf, Sebastian; Magliulo, Vincenzo

doi:10.1016/j.agrformet.2016.03.016

Title: Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations

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Publication Date:: 2016-06-01

Sponsoring Org.:: USDOE

OSTI Identifier:: 1348249

Grant/Contract Number:: 41201331; 41331173; 41205104; 2013AA122801

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Agricultural and Forest Meteorology

Additional Journal Information:: Journal Name: Agricultural and Forest Meteorology Journal Volume: 223 Journal Issue: C; Journal ID: ISSN 0168-1923

Publisher:: Elsevier

Country of Publication:: Netherlands

Language:: English

Citation Formats


                    Yao, Yunjun, Liang, Shunlin, Li, Xianglan, Liu, Shaomin, Chen, Jiquan, Zhang, Xiaotong, Jia, Kun, Jiang, Bo, Xie, Xianhong, Munier, Simon, Liu, Meng, Yu, Jian, Lindroth, Anders, Varlagin, Andrej, Raschi, Antonio, Noormets, Asko, Pio, Casimiro, Wohlfahrt, Georg, Sun, Ge, Domec, Jean-Christophe, Montagnani, Leonardo, Lund, Magnus, Eddy, Moors, Blanken, Peter D., Grünwald, Thomas, Wolf, Sebastian, and Magliulo, Vincenzo. Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations.  Netherlands: N. p., 2016. 
Web.  doi:10.1016/j.agrformet.2016.03.016.

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                    Yao, Yunjun, Liang, Shunlin, Li, Xianglan, Liu, Shaomin, Chen, Jiquan, Zhang, Xiaotong, Jia, Kun, Jiang, Bo, Xie, Xianhong, Munier, Simon, Liu, Meng, Yu, Jian, Lindroth, Anders, Varlagin, Andrej, Raschi, Antonio, Noormets, Asko, Pio, Casimiro, Wohlfahrt, Georg, Sun, Ge, Domec, Jean-Christophe, Montagnani, Leonardo, Lund, Magnus, Eddy, Moors, Blanken, Peter D., Grünwald, Thomas, Wolf, Sebastian, & Magliulo, Vincenzo. Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations.  Netherlands.  https://doi.org/10.1016/j.agrformet.2016.03.016

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                    Yao, Yunjun, Liang, Shunlin, Li, Xianglan, Liu, Shaomin, Chen, Jiquan, Zhang, Xiaotong, Jia, Kun, Jiang, Bo, Xie, Xianhong, Munier, Simon, Liu, Meng, Yu, Jian, Lindroth, Anders, Varlagin, Andrej, Raschi, Antonio, Noormets, Asko, Pio, Casimiro, Wohlfahrt, Georg, Sun, Ge, Domec, Jean-Christophe, Montagnani, Leonardo, Lund, Magnus, Eddy, Moors, Blanken, Peter D., Grünwald, Thomas, Wolf, Sebastian, and Magliulo, Vincenzo. Wed .  
"Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations".  Netherlands.  https://doi.org/10.1016/j.agrformet.2016.03.016.

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@article{osti_1348249,

  title        = {Assessment and simulation of global terrestrial latent heat flux by synthesis of CMIP5 climate models and surface eddy covariance observations},

  author       = {Yao, Yunjun and Liang, Shunlin and Li, Xianglan and Liu, Shaomin and Chen, Jiquan and Zhang, Xiaotong and Jia, Kun and Jiang, Bo and Xie, Xianhong and Munier, Simon and Liu, Meng and Yu, Jian and Lindroth, Anders and Varlagin, Andrej and Raschi, Antonio and Noormets, Asko and Pio, Casimiro and Wohlfahrt, Georg and Sun, Ge and Domec, Jean-Christophe and Montagnani, Leonardo and Lund, Magnus and Eddy, Moors and Blanken, Peter D. and Grünwald, Thomas and Wolf, Sebastian and Magliulo, Vincenzo},

  abstractNote = {},

  doi          = {10.1016/j.agrformet.2016.03.016},

  journal      = {Agricultural and Forest Meteorology},

  number       = C,

  volume       = 223,

  place        = {Netherlands},

  year         = {2016},

  month        = {6}

}

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