東亞水環境可持續發展研究中心 (WEEA)

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Senior Research Fellow (Di Long)
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LONG Di

Position:Associate Professor

Address: Room 202, New Hydraulic Engineering Building, Tsinghua University

Tel:010-62787394

Fax:010-62773576

E-mail: dlong@tsinghua.edu.cn


Educational Background

B.S.: Sep.2001 – July.2005, Hydrology and Hydraulics, Department of Hydraulic Engineering, Tsinghua University

M.S.: Sep.2005 – Jun. 2008, Hydrology and Remote Sensing, Institute of Geography, Chinese Academy of Sciences

PhD: Aug.2008 -Aug.2011, Hydrology and Remote Sensing, Department of Biological & Agricultural Engineering, Texas A&M University


Work Experience

06/2006-06/2008 Graduate Research Assistant, Institute of Geography, Chinese Academy of Sciences

09/2008-05/2009 Graduate Teaching Assistant, Department of Geography, Texas A&M University

06/2009-08/2011 Graduate Research Assistant, Department of Biological & Agricultural Engineering, Texas A&M University

09/2011-11/2014 Postdoctoral Fellow, Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin

12/2014-06/2017 Assistant Professor, Department of Hydraulic Engineering, Tsinghua University

07/2017-01/2020 Associate Professor, Department of Hydraulic Engineering, Tsinghua University

02/2020-present Tenured Associate Professor, Department of Hydraulic Engineering, Tsinghua University


Research Interests

1. Theories, methods, and applications of GRACE satellites to derive terrestrial water and groundwater storage changes

2. Theories, methods, and applications of multisource remote sensing to derive surface water storage for lakes, reservoirs, glaciers, and snow.

3. Theories, methods, and applications of thermal infrared remote sensing and data fusion in deriving land surface temperature, evapotranspiration, and soil moisture.

4. Cryospheric hydrology and prediction in ungauged basins (PUB), including quantification of runoff components (e.g., snow, glaciers, and rainfall) using multisource remote sensing and modeling   

5. Socio-hydrology and modeling and projection of hydrological processes for areas with intensive human activities such as the North China Plain and Beijing.


Academic Achievement


[1] *Long, D., Yang W.T., Scanlon, B.R., Zhao, J.S., Liu, D.G., Burek, P., Pan, Y., You, L. Z., and Wada, Y (2020). South-to-North Water Diversion stabilizing Beijing’s groundwater levels. Nature Communications, 11(1), 1‒10.

[2] *Long, D., Yan, L., Bai, L.L., Zhang, C.J., Li, X.Y., Lei, H.M., Yang, H.B., Tian, F.Q., Zeng, C., Meng, X.Y., and Shi, C.X(2020). Generation of MODIS-like land surface temperatures under all-weather conditions based on a data fusion approach. Remote Sensing of Environment, 246, 111863

[3] *Long, D., Bai, L., Yan, L., Zhang, C., Yang, W., Lei, H., *Quan, J., Meng, X., and Shi, C. (2019). Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution. Remote Sensing of Environment, 233, 111364.

[4] *Long, D., Pan, Y., Zhou, J., Chen, Y., Hou, X.Y., Hong, Y., Scanlon, B.R., and Longuevergne, L. (2017). Global analysis of spatiotemporal variability in merged total water storage changes using multiple GRACE products and global hydrological models. Remote Sensing of Environment, 192, 198-216.

[5] *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.

[6] *Long, D., Longuevergne, L., and Scanlon, B.R. (2015a). Global analysis of approaches for deriving total water storage changes from GRACE satellites. Water Resources Research, 51, 2574-2594.

[7] *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. (2015b). 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.

[8] *Long, D., Longuevergne, L., and Scanlon, B.R. (2014a). Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites. Water Resources Research, 50, 1131–1151.

[9] *Long, D., Shen, Y.J., Sun, A.Y., Hong, Y., Longuevergne, L., Yang, Y.T., Li, B., and Chen, L. (2014b). Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data. Remote Sensing of Environment, 145–160.

[10] *Long, D., Scanlon, B.R., Longuevergne, L., Sun, A.-Y., Fernando, D.N., and Save, H. (2013). GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas. Geophysical Research Letters, 40, 3395–3401.

[11] *Long, D., and Singh, V.P. (2013a). Assessing the impact of end-member selection on the accuracy of satellite-based spatial variability models for actual evapotranspiration estimation. Water Resources Research, 49, 2601–2618.

[12] *Long, D., and Singh, V.P. (2013b). An entropy-based multispectral image classification algorithm. IEEE Transactions on Geoscience and Remote Sensing, 51, 5225–5238.

[13] *Long, D., Scanlon, B.R., Fernando, D.N., Meng, L., and Quiring, S.M. (2012a). Are Temperature and Precipitation Extremes Increasing over the U.S. High Plains? Earth Interactions, 16, 1–20.

[14] *Long, D., Singh, V.P., and Scanlon, B.R. (2012b). Deriving theoretical boundaries to address scale dependencies of triangle models for evapotranspiration estimation. Journal of Geophysical Research-Atmospheres, 117.

[15] *Long, D., and Singh, V.P. (2012a). A modified surface energy balance algorithm for land (M-SEBAL) based on a trapezoidal framework. Water Resources Research, 48.

[16] *Long, D., and Singh, V.P. (2012b). A Two-source Trapezoid Model for Evapotranspiration (TTME) from satellite imagery. Remote Sensing of Environment, 121, 370–388.

[17] *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.

[18] *Long, D., Gao, Y.C., and Singh, V.P. (2010). Estimation of daily average net radiation from MODIS data and DEM over the Baiyangdian watershed in North China for clear sky days. Journal of Hydrology, 388, 217–233.

[19] *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.