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龙笛 (Di Long)

Tenure-Track Assistant Professor

Curriculum vitae
 

longdi

龙笛 个人简介


职 务:特聘研究员、博士生导师
Water Resources Research和Journal of Hydrology副主编
单 位:清华大学水利水电工程系
荣 誉:中组部”青年千人”入选者
通讯地址:清华大学新水利馆224B
电话号码:+86 185-1696-3665
E-mail:dlong@tsinghua.edu.cn
ResearchGate:https://www.researchgate.net/profile/Di_Long
网 页:http://www.hydrosky.org



研究兴趣:


教育背景:
 

08/2008-08/2011Ph.D. Hydrology and remote sensing, Department of Biological & Agricultural Engineering, Texas A&M University, College Station, Texas, USA. Dissertation: Modeling Evapotranspiration at Varying Spatial and Temporal Scales Using Satellite Remote Sensing
09/2005-06/2008M.S. Hydrology and remote sensing, Institute of Geography,Chinese Academy of Sciences, Beijing, China. Thesis:Estimation of Evapotranspiration from MODIS Data Products and DEMs for the Baiyangdian Watershed, North China
09/2001-07/2005B.S. Hydrology and hydraulics, Department of Hydraulic Engineering,Tsinghua University, Beijing, China. Project: Evaluation of Watershed Ecosystem Health


职业经历:


12/2014-presentAssistant Professor, State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University
09/2011-11/2014Postdoctoral Fellow, Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin
06/2009-08/2011Graduate Research Assistant, Department of Biological & Agricultural Engineering, Texas A&M University
09/2008-05/2009Graduate Teaching Assistant, Department of Geography, Texas A&M University
06/2006-06/2008Graduate Research Assistant, Institute of Geography, Chinese Academy of Sciences


荣誉与奖励:


Ÿ2014: A Thousand Young Talents Program, the Chinese Government

2014: Editors’ Citations for Excellence in Refereeing-Geophysical Research Letters, American Geophysical Union

2013-2014: Author Achievement Award and nomination of the Best Paper Award (the second place), Bureau of Economic Geology, The University of Texas at Austin

2012-2013: Author Achievement Award, Bureau of Economic Geology, The University of Texas at Austin

2009-2011: Graduate Research Assistantship, Department of Biological & Agricultural Engineering, Texas A&M University

2009-2010: Mills Scholarship Award, Texas Water Resources Institute

2008-2009: Graduate Teaching Assistantship, Department of Geography, TexasA&MUniversity

2008-2009: Graduate Enhancement Funds, Department of Geography, Texas A&M University

2008-2009: Incentive Scholarship, College of Geosciences, Texas A&M University

2006-2008: Excellent Graduate Student Award, Graduate University of the Chinese Academy of Sciences

国际期刊:
 

Published (37; Total citations: 781; H index: 16; Updated by Jul 19, 2016)
 
[1] Long, D.*, Chen, X., Scanlon, B.R., Wada, Y., Hong, Y., Singh, V. P., Chen, Y., Wang, C., Han, Z, and Yang, W., 2016, Have GRACE satellites overestimated groundwater depletion in the Northwest India Aquifer?, Scientific Reports, 6, 24398 (IF=5.228, 2015, Times Cited: 1).
 
[2] Long, D.*, Longuevergne, L., and Scanlon, B.R., 2015. Global analysis of approaches for deriving total water storage changes from GRACE satellites. Water Resources Research, 51:  2574-2594. (IF=3.792, 2015, Times Cited: 20)
 
[3] Long, D.*, Yang, Y. T., Wada, Y., Hong, Y., Liang, W., Chen, Y. N., Yong, B., Hou, A. Z., Wei, J. F., and Chen, L., 2015. Deriving scaling factors using a global hydrological model to restore GRACE total water storage changes for China’s Yangtze River basin. Remote Sensing of Environment, 168: 177-193. (IF=5.881, 2015, Time Cited:11)
 
[4] Long, D.*, Shen, Y.J., Sun, A.Y., Hong, Y., Longuevergne, L., Yang, Y.T., Li, B., Chen, L., 2014. Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data. Remote Sensing of Environment, 155:145-160. (IF=5.881, 2015, Times Cited: 22)
 
[5] Long, D.*, Scanlon, B. R., Longuevergne, L., 2014. Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites. Water Resources Research, 50(2):1131-1151. (IF=3.792, 2015, Times Cited: 67)
 
[6] Long, D.*, Scanlon, B. R., Longuevergne, L., Sun, A-Y, Fernando, D. N., Save, H. V., 2013. GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas. Geophysical Research Letters, 40(13):3395-3401. (IF=4.212, 2015, Times Cited: 73)
 
[7] Long, D.* and Singh V. P., 2013. Assessing the impact of end-member selection on actual evapotranspiration estimates from satellite-based spatial variability models. Water Resources Research, 49(5): 2601-2618. (IF=3.792, 2015, Times Cited: 34)
 
[8] Long, D.* and Singh V. P., 2013. An entropy-based multispectral imagery classification algorithm. IEEE Transactions on Geoscience and Remote Sensing, 51(12): 5225-5238. (IF=3.360, 2015, Times Cited: 7)
 
[9] Long, D.* and Singh, V. P., 2012. A modified surface energy balance algorithm for land (M-SEBAL) based on a trapezoidal framework. Water Resources Research, 48, W02528, doi:10.1029/2011WR010607. (IF=3.792, 2015, Times Cited: 39)
 
[10] Long, D.* Singh, V. P., and Scanlon, B. R., 2012. Deriving theoretical boundaries to address scale dependencies of triangle models for evapotranspiration estimation. Journal of Geophysical Research-Atmospheres, 117, D05113, doi:10.1029/2011JD017079. (IF=3.318, 2015, Times Cited: 37)
 
[11] Long, D.* and Singh, V. P., 2012. A two-source trapezoidal model for evapotranspiration (TTME) from satellite imagery. Remote Sensing of Environment, 121: 370-388. (IF=5.881, 2015, Times Cited: 61)
 
[12] Long, D.*, Scanlon, B. R., Fernando, D. N., Meng, L., and Quiring, S., 2012. Are temperature and precipitation extremes increasing over the US High Plains? Earth Interactions, 16(16): 1-20. (IF=1.319, 2015, Times Cited: 4)
 
[13] Long, D.*, Singh, V. P., and Li, Z.-L., 2011. How sensitive is SEBAL to changes in input variables, domain size and satellite sensor? Journal of Geophysical Research-Atmospheres, 116, D21107, doi:10.1029/2011JD016542. (IF=3.318, 2015, Times Cited: 47)
 
[14] Long, D.* and Singh, V. P., 2010. Integration of the GG model with SEBAL to produce time series of evapotranspiration of high spatial resolution at watershed scales. Journal of Geophysical Research-Atmospheres, 115, D21128, doi:10.1029/2010JD014092. (IF=3.318, 2015, Times Cited: 28)
 
[15] Long, D.*, Gao, Y. C., and Singh, V. P., 2010. Estimation of daily average net radiation from MOIDS data and DEM over the Baiyangdian watershed in North China for clear sky days. Journal of Hydrology, 388 (3-4): 217-233. (IF=3.043, 2015, Times Cited: 50)
 
[16] Wan, W., Long, D., Hong, Y.*, Ma, Y., Yuan, Y., Xiao, P., Duan, H., Han, Z., and Gu, X.*, A lake data set for the Tibetan Plateau from the 1960s, 2005, and 2014. Scientific Data, 3, 160039. 
 
[17] Yang, Y.T.*, Long, D., Guan, H.D., Batelaan, O., Liang, W., and Simmons, C., 2015. Comparison of three dual-source remote sensing evapotranspiration models during the MUSOEXE-12 Campaign: Revisit of Model Physics. Water Resources Research, 51 (5): 3145-3165. (IF=3.792, 2015, Times Cited: 12)
 
[18] Yang, Y.T.*, Long, D., Guan, H.D., Simmons, C., Jiang, L., and Xu, X., 2014. GRACE satellite observed hydrological control on inter-annual and seasonal variability of surface greenness over mainland Australia. Journal of Geophysical Research-Biogeoscience, 119(12):  2245-2260. (IF=3.318, 2015, Times Cited: 16)
 
[19] Meng, L., Long, D., Quiring, S. Q., and Shen, Y. J.*, 2014. Statistical analysis of the relationship between spring soil moisture and summer precipitation in East China. International Journal of Climatology, 34: 1511-1523. (IF=3.609, 2015, Times Cited: 14)
 
[20] Yang Y. T.*, Long, D., and Shang, S. H., 2013. Remote estimation of terrestrial evapotranspiration without using meteorological data. Geophysical Research Letters, 40(12): 3026-3030. (IF=4.212, 2015, Times Cited: 29)
 
[21] Gao, Y. C.* and Long, D., 2008. Intercomparison of remote sensing-based models for estimation of evapotranspiration and accuracy assessment based on SWAT. Hydrological Processes, 22(25): 4850-4869. (IF=2.768, 2015, Times Cited: 42)
 
[22] Gao, Y. C.*, Long, D., and Li, Z. L., 2008. Estimation of daily actual evapotranspiration from remotely sensed data under complex terrain over the upper Chao river basin in North China. International Journal of Remote Sensing, 29(11): 3295-3315. (IF=1.640, 2015, Times Cited: 49)
 
[23] Tang, G., Zeng, Z., Long, D.*, Guo, X., Yong, B., Zhang, W., and Hong, Y., 2016. Statistical and hydrological comparisons between TRMM and GPM level-3 products over a mid-latitude basin: Is Day-1 IMERG a good successor for TMPA 3B42V7? Journal of Hydrometeorology, 17: 121-137. (IF=3.511, 2015, Times Cited: 3)
 
[24] Tang, G., Ma, Y., Long, D.*, Zhong, L., and Hong, Y.*, 2016. Evaluation of GPM Day-1 IMERG and TMPA version-7 legacy products over Mainland China at multiple spatiotemporal scales. Journal of Hydrology, 533: 152-167. (IF=3.043, 2015, Times Cited: 3)
 
[25] Ma, Y., Tang, G., Long, D.*, Yong, B., Zhong, L., Wan, W., and Hong, Y.*, 2016. Similarity and error intercomparison of the GPM and its predecessor-TRMM Multisatellite Precipitation Analysis using the best available hourly gauge network over the Tibetan Plateau. Remote Sensing, 8: 569 (IF=3.036, 2015) 
 
[26] Yang, Y.T.*, Guan, H.D., Long, D., Jiang, L., Simmons, C.T., Qin, J., 2015. Estimation of surface soil moisture from thermal infrared remote sensing using the trapezoid method. Remote Sensing, 7: 8250-8270. (IF=3.036, 2015, Times Cited: 1)
 
[27] Scanlon, B.R.*, Longuevergne, L., and Long, D., 2012. Ground referencing GRACE satellite estimates of groundwater storage changes in the California Central Valley, US. Water Resources Research, 48, W04520, DOI:10.1029/2011WR011312. (IF=3.792, 2015, Times Cited: 56)
 
[28] Wan, W., Bai, W. H., Zhao, L. M., Long, D., Sun, Y. Q., Meng, X. G., Chen, H., Cui, X., and Hong, Y.*, 2015, Initial results of China’s GNSS-R airborne campaign: Soil moisture retrievals. Science Bulletin, 60 (10): 964-971. (IF = 1.789, 2015, Times Cited: 1)  
 
[29] Yang, Y. T.*, Guan, H. D., Shang, S. H., Long, D., and Simmons, T., 2014. Toward the use of the MODIS ET product to estimate terrestrial GPP for non-forest ecosystems. IEEE Geoscience and Remote Sensing Letters, 11(9):1624-1628. (IF = 2.228, 2015, Times Cited: 7)
 
[30] Yang, Y.*, Guan, H., Batelaan, O., McVicar, T. R., Long, D., Piao, S., Liang, W., Liu, B., Jin, Z., Craig, T. S., 2016. Contrasting responses of water use efficiency to drought across global terrestrial ecosystems. Scientific Reports, 6: 23284 (IF=5.228, 2015, Times Cited: 2)
 
[31] Tong, X., Liu, T.*, Singh, V.P., Duan, L., and Long, D., 2016. Development of in situ experiments for evaluation of anisotropic reflectance effect on spectral mixture analysis for vegetation cover. IEEE Geoscience and Remote Sensing Letters, 11(9):1624-1628. (IF = 2.228, 2015)
 
[32] Pei, H., Scanlon, B. R., Shen, Y.*, Reedy, R. C., Long, D., and Liu, C., 2015. Impacts of varying agricultural intensification on crop yield and groundwater resources: comparison of the North China Plain and US High Plains. Environmental Research Letters, 10, 044013. (IF = 4.134, 2015, Times Cited: 4)
 
[33] Scanlon, B. R.*, Zhang, Z., Reedy, R. C., Pool, D. R., Save, H., Long, D., Chen, J., Wolock, D. M., Conway, B. D., and Winester, D., 2015. Hydrologic implications of GRACE satellite data in the Colorado River basin. Water Resources Research, 51: 9891-9903. (IF=3.792, 2015, Times Cited: 3)
 
[34] Liang, W., Yang, Y.T., Fan, D.M., Guan, H.D., Zhang, T., Long, D., Zhou, Y., and Bai, D.*, 2015. Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010. Agricultural and Forest Meteorology, 204: 22-36. (IF=4.461, 2015, Times Cited: 12)
 
[35] Yang, L., Song, X.*, Zhang, Y., Han, D., Zhang, B., and Long, D., 2012. Characterizing interactions between surface water and groundwater in the Jialu River basin using major ion chemistry and stable isotopes. Hydrology and Earth System Sciences, 16: 4265-4277. (IF=3.990, 2015, Times Cited: 11)
 
[36] Liu, X., Song, X. F.*, Zhang, Y. H., Xia, J., Zhang, X. C., Yu, J. J., Long, D., Li, F. D., and Zhang, B, 2011. Spatial-temporal variations of δ2H and δ18O in precipitation and shallow groundwater in the Hilly Loess Regions of the Loess Plateau, China. Environmental Earth Sciences, 63(5):1105-1118. (IF=1.765, 2014, Times Cited: 7)
 
[37] Liang, W.*, Bai, D., Wang, F., Fu, B., Yan, J., Wang, S., Yang, Y., Long, D., and Feng, M. Quantifying the impacts of climate change and ecological restoration on streamflow changes based on Budyko hydrological model in China’s Loess Plateau. Water Resources Research, 51: 6500-6519. (IF=3.792, 2015, Times Cited: 7)
 
■ Citation numbers of the publications above are from Google Scholar; “*” indicates corresponding author.