Hi, I am Qiaozhen Mu, My LiveDNA is 1.8813
 
   
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Dr. Qiaozhen Mu
 
Highest Degree: Ph.D. in Climatology from Peking University, Beijing, China
 
Institute: Science Systems and Applications, Inc., USA
 
Area of Interest: Environmental Sciences
  •   Water and Carbon Cycles
  •   Land Surface Processes
  •   Land-Atmosphere Interactions
  •   Evapotranspiration
 
URL: http://livedna.org/1.8813
 
My SELECTED Publications
1:   Chen, Y., J. Xia, S. Liang, J. Feng and J.B. Fisher et al., 2014. Comparison of Satellite-based evapotranspiration models over terrestrial ecosystems in China. Remote Sens. Environ., 140: 279-293.
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2:   Cleugh, H.A., R. Leuning, Q. Mu and S.W. Running, 2007. Regional evaporation estimates from flux tower and MODIS satellite data. Remote Sens. Environ., 106: 285-304.
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3:   Jovanovic, N., Q. Mu, R.D. Bugan and M. Zhao, 2015. Dynamics of MODIS evapotranspiration in South Africa. Water SA, 41: 79-90.
4:   Jung, M., M. Reichstein, P. Ciais, S.I. Seneviratne and J. Sheffield et al., 2010. Recent decline in the global land evapotranspiration trend due to limited moisture supply. Nature, 467: 951-954.
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5:   Kim, H.W., K. Hwang, Q. Mu, S.O. Lee and M. Choi, 2012. Validation of MODIS 16 global terrestrial evapotranspiration products in various climates and land cover types in Asia. KSCE J. Civil Eng., 16: 229-238.
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6:   Li, Y., M. Zhao, S. Motesharrei, Q. Mu, E. Kalnay and S. Li, 2015. Local cooling and warming effects of forests based on satellite observations. Nat. Commun., Vol. 6. 10.1038/ncomms7603.
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7:   Loarie, S.R., D.B. Lobell, G.P. Asner, Q. Mu and C.B. Field, 2011. Direct impacts on local climate of Sugar-cane expansion in Brazil. Nat. Clim. Change, 1: 105-109.
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8:   Montenegro, A., M. Eby, Q. Mu, M. Mulligan, A.J. Weaver, E.C. Wiebe and M. Zhao, 2009. The net carbon drawdown of small scale afforestation from satellite observations. Global Planetary Change, 69: 195-204.
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9:   Mu, Q., F.A. Heinsch, M. Zhao and S.W. Running, 2007. Development of a global evapotranspiration algorithm based on MODIS and global meteorology data. Remote Sens. Environ., 111: 519-536.
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10:   Mu, Q., L.A. Jones, J.S. Kimball, K.C. McDonald and S.W. Running, 2009. Satellite assessment of land surface evapotranspiration for the pan‐Arctic domain. Water Resour. Res., Vol. 45. 10.1029/2008WR007189.
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11:   Mu, Q., M. Zhao and S.W. Running, 2011. Evolution of hydrological and carbon cycles under a changing climate. Hydrol. Process., 25: 4093-4102.
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12:   Mu, Q., M. Zhao and S.W. Running, 2011. Improvements to a MODIS global terrestrial evapotranspiration algorithm. Remote Sens. Environ., 115: 1781-1800.
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13:   Mu, Q., M. Zhao, F.A. Heinsch, M. Liu, H. Tian and S.W. Running, 2007. Evaluating water stress controls on primary production in biogeochemical and remote sensing based models. J. Geophys. Res.: Biogeosci., Vol. 112. 10.1029/2006JG000179.
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14:   Mu, Q., M. Zhao, J.S. Kimball, N.G. McDowell and S.W. Running, 2013. A remotely sensed global terrestrial drought severity index. Bull. Am. Meteorol. Soc., 94: 83-98.
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15:   Mu, Q., M. Zhao, S.W. Running, M. Liu and H. Tian, 2008. Contribution of increasing CO2 and climate change to the carbon cycle in China's ecosystems. J. Geophys. Res.: Biogeosci. Vol. 113. 10.1029/2006JG000316.
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16:   Mu, Q., S. Wang, J. Cai, Z. Xie and J. Zhu, 2002. Modeling studies on the changes of the subtropical high over the western pacific during the last 100 years. Chin. Sci. Bull., 47: 945-948.
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17:   Qiaozhen, M., W. Shaowu, Z. Jinhorig and G. Daoyi, 2001. Summer variations of the eastern pacific subtropical high during the last hundred years. Chin. Atmns. Sal, 25: 325-336.
18:   Renzullo, L.J., D.J. Barrett, A.S. Marks, M.J. Hill, J.P. Guerschman, Q. Mu and S.W. Running, 2008. Multi-sensor model-data fusion for estimation of hydrologic and energy flux parameters. Remote Sens. Environ., 112: 1306-1319.
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19:   Ruhoff, A.L., A.R. Paz, L.E.O.C. Aragao, Q. Mu and Y. Malhi et al., 2013. Assessment of the MODIS global evapotranspiration algorithm using eddy covariance measurements and hydrological modelling in the Rio Grande basin. Hydrol. Sci. J., 58: 1658-1676.
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20:   Shaowu, M.Q.W. and G. Daoyi, 2002. Variations of Western pacific subtropical high in four seasons during the last hundred years. Acta Meteorol. Sin., 60: 668-679.
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21:   Shaowu, W., C. Jingning, M. Qiaozhen, X. Zhihui, Z. Jinhong and G. Daoyi, 2002. Modeling and diagnostic studies on the variations of the subtropical high over the Western pacific from 1880 to 1999. Adv. Atmos. Sci., 19: 1148-1152.
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22:   Smettem, K.R.J., R.H. Waring, J.N. Callow, M. Wilson and Q. Mu, 2013. Satellite-derived estimates of forest leaf area index in southwest Western Australia are not tightly coupled to interannual variations in rainfall: Implications for groundwater decline in a drying climate. Global Change Biol., 19: 2401-2412.
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23:   Sun, G., P. Caldwell, A. Noormets, S.G. McNulty and E. Cohen et al., 2011. Upscaling key ecosystem functions across the conterminous United States by a water-centric ecosystem model. J. Geophys. Res., Vol. 116. 10.1029/2010JG001573.
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24:   Wang, S., M. Pan, Q. Mu, X. Shi and J. Mao et al., 2015. Comparing evapotranspiration from eddy covariance measurements, water budgets, remote sensing and land surface models over Canada. J. Hydrometeorol., 10.1175/JHM-D-14-0189.1.
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25:   Wang, S.W., J.N. Cai, Q.Z. Mu, Z. Xie and W. Dong, 2002. Climate change of annual precipitations in western China. J. Nat. Resour., 17: 415-422.
26:   Xia, Y., M.T. Hobbins, Q. Mu and M.B. Ek, 2015. Evaluation of NLDAS-2 evapotranspiration against tower flux site observations. Hydrol. Process., 29: 1757-1771.
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27:   Yao, Y., S. Liang, X. Li, Y. Hong and J.B. Fisher et al., 2014. Bayesian multimodel estimation of global terrestrial latent heat flux from eddy covariance, meteorological and satellite observations. J. Geophys. Res.: Atmos., 119: 4521-4545.
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28:   Zhang, K., J.S. Kimball, Q. Mu, L.A. Jones, S.J. Goetz and S.W. Running, 2009. Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005. J. Hydrol., 379: 92-110.
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