Peer Reviewed Journal Articals


40. Naz, B., W. Kurtz, C. Montzka, W. Sharples, K. Goergen, J. Keune, H. Gao, A. Springer, H. Franssen, and S. Kollet, Improving soil moisture and runoff simulations over Europe using a high-resolution data-assimilation modeling framework, Hydrology and Earth System Sciences,, accepted.


39. Zhao, G. and H. Gao, Automatic correction of contaminated images for assessment of reservoir surface area dynamics, Geophysical Research Letters,, 2018. Download the Global Reservoir Surface Area Dataset (GRSAD)

38. Zhao, G., H. Gao, N. Voisin, S.-C. Kao, and B. Naz, A modeling framework for evaluating the drought resilience of a surface water supply system under non-stationarity, Journal of Hydrology, vol. 563, 22-32, 2018.

37. Naz, B., S. Kao, M. Ashfaq, H. Gao, B. Rastogi, and R. Gangrade, Effects of climate change on streamflow extremes and implications for reservoir inflow in the United States, Journal of Hydrology, vol. 556, 359-370, 2018.


36. McCabe, M. F., M. Rodell, D. E. Alsdorf, D. G. Miralles, R. Uijlenhoet, W. Wagner, A. Lucieer, R. Houborg, N. E. C. Verhoest, T. E. Franz, J. Shi, H. Gao, and E. F. Wood, The future of Earth observation in hydrology, Hydrol. Earth Syst. Sci., 21, 3879-3914, 2017.

35. Lee, K., H. Gao, M. Huang, J. Sheffield, and X. Shi, Development and application of improved long-term datasets of surface hydrology for Texas, Advances in Meteorology, Article ID 8485130, 13 pages, 2017.


34. Zhao, G., H. Gao, B. S. Naz, S.-C. Kao, and N. Voisin, Integrating a reservoir regulation scheme into a spatially distributed hydrological model, Advances in Water Resources, 98, 16-31, 2016.

33. Zhang, S. and H. Gao, A novel algorithm for monitoring reservoirs under all-weather conditions at a high temporal resolution through passive microwave remote sensing, Geophysical Research Letters, 43, 8052-8059, 2016.

32. Zhao, G., H. Gao, and L. Cuo, Effects of urbanization and climate change on peak flows over the San Antonio River Basin, Texas, J. Hydrometeorology, 17, 2371-2389, 2016.

31. Kang, D., H. Gao, X. Shi, S. Islam, and S. J. Dery, Impacts of a rapidly declining mountain snowpack on streamflow timing in Canadas Fraser River Basin, Scientific Reports - Nature, 6, Article number 19299, 2016.

30. Zhou, T., B. Nijssen, H. Gao, and D.P. Lettenmaier, The contribution of reservoirs to global land surface water storage variations, J. Hydrometeorology, 17, 309-325, 2016.

29. Gao, H., S. Zhang*, R. Fu, W. Li, and R. E. Dickinson, Inter-annual Variation of the Surface Temperature of Tropical Forests from SSM/I Observations, Advances in Meteorology, Article ID 4741390, 2016. (Invited)


28. Qiao, X., J. Hu, S. Zhang, S. H. Kota, J. Li, L. Wu, H. Gao, H. Zhang, Y. Tang and Q. Ying, Modeling Dry and Wet Deposition of Sulfate, Nitrate, and Ammonium Ion in Jiuzhaigou National Nature Reserve, China using a Source-Oriented CMAQ Model: Part I. Base Case Model Results, Atmospheric Environment, doi:10.1016/j.scitotenv.2015.05.108, 2015.

27. Gao, H., Satellite remote sensing of large lakes and reservoirs: from elevation and area to storage, WIREs WATER,doi:10.1002/wat2.1065, 2015. (invited)


26. Zhang, S, H. Gao, and B. Naz, Monitoring reservoir storage in South Asia from satellite remote sensing, Water Resource Research, 50, doi:10.1002/2014WR015829, 2014.

25. Nijssen, B., S. Shukla, C. Lin, H. Gao, T. Zhou, J. Sheffield, E. F. Wood, D. P. Lettenmaier: A prototype global drought information system based on multiple land surface models, J. Hydrometeorol., 15, 1661-1676, 2014.

24. Kang, D., X. Shi, H. Gao, and S. Dery, A modeling study of the changing contribution of snow to the hydrology of the Fraser River Basin, J. Hydrometeorol., 15, 1344-1365, 2014.

23. Leng, G., M. Huang, Q. Tang, H. Gao, L.R. Leung, Modeling the effects of groundwater-fed irrigation on terrestrial hydrology over the conterminous United States. J. Hydromet., 15, 957-972, 2014.


22. Gao, H., C. Birkett, and D. P. Lettenmaier, Global monitoring of large reservoir storage from satellite remote sensing. Water Resources Research, 48, doi:10.1029/2012WR012063, 2012.


21. Gao, H., T.J. Bohn, E. Podest, K.C. McDonald, and D.P. Lettenmaier, On the causes of the shrinking of Lake Chad. Environ. Res. Lett. 6, doi:10.1088/1748-9326/6/3/034021, 2011.

20. Su, F., H. Gao, G. J. Huffman, and D. P. Lettenmaier, Potential utility of the real-time TMPA-RT precipitation estimates in Streamflow prediction, J. Hydromet., 12, 444-455, 2011.

19. Waring, R. H., J. Chen, and H. Gao, Plant-water relations at multiple scales: integration from observations, modeling and remote sensing, J. Plant Ecology, 4(1-2), 1-2, 2011.

18. Ni-Meister, W., H. Gao, Assessing the impacts of vegetation heterogeneity on energy fluxes and snowmelt in boreal forests, J. Plant Ecology, 4(1-2), 37-47, 2011.


17. Gao, H., Q. Tang, C. Ferguson, E.F. Wood, and D. P. Lettenmaier, Estimating the water budget of major U.S. river basins via remote sensing. Int. J. Rem. Sen., 31(14), 3955-3978, 2010.

16. Ferguson, C. R., E. F. Wood, J. Sheffield, and H. Gao, Quantifying uncertainty in remote sensing based estimates of evapotranspiration due to data inputs over the continental United States, Int. J. Rem. Sen., 31(14), 3821-3865, 2010.

15. Tang, Q., H. Gao, P. Yeh, T. Oki, F. Su, and D. P. Lettenmaier, Dynamics of terrestrial water storage change from observations and modeling, J. Hydromet., 11, 156-170, 2010.


14. Tang, Q., H. Gao, H. Lu, and D. P. Lettenmaier: Remote sensing: Hydrology, Progresses in Physical Geography, 33(4), 490-509, 2009.


13. Negron Juarez, R., R. Fu, R. B. Myneni, R. E. Dickinson, S. Bernardes, H. Gao, M. Goulden, S. C. Wofsy, An empirical approach to retrieve monthly evapotranspiration over Amazonia, Int. J. Rem. Sens., 29, 7045-7063, 2008.

12. Gao, H., R. Fu, R. E. Dickinson, R. Negron Juarez, A practical method for retrieving land surface temperature from AMSR-E over the Amazon forest, IEEE Transactions on Geosciences and Remote Sensing, 46, 193-199, 2008.

11. McCabe, M. F., M. Pan, R. , J. Sheffield, H. Gao, H. Su, and E. F. Wood, Multi-sensor remote sensing data for water and energy balance studies: towards hydrological consistency through observation and data assimilation, Remote Sensing of Environment, 112, 430-444, 2008.


10. Gao, H., E. F. Wood, M. Drusch, and M. McCabe, Copula derived observation operators for assimilating TMI and AMSR-E soil moisture into land surface models. J. Hydromet., 8, 413-429, 2007.


9. Gao, H., E. F. Wood, M. Drusch, T. Jackson, R. Bindlish, Using TRMM/TMI to retrieve soil moisture over the southern United States from 1998 to 2002. J. Hydromet., 7, 23?38, 2006.


8. McCabe, M. F., H. Gao, and E.F. Wood, An evaluation of AMSR-E derived soil moisture retrievals using ground based, airborne and ancillary data during SMEX 02, J. Hydromet., 6, 864-877, 2005.

7. McCabe, M.F., E.F. Wood, and H. Gao, Initial soil moisture retrievals from AMSR-E: Large scale comparisons with SMEX 02 field observations and rainfall patterns over Iowa, Geophysical Research Letters, 32, L06403, doi:10.1029/2004GL021222, 2005.

6. M. Drusch, E.F. Wood, and H. Gao, Observation operators for the direct Assimilation of satellite retrieved soil moisture into land surface models. Geophysical Research Letters, 32, L15403, doi:10.1029/2005GL023623, 2005.


5. Gao, H., E. F. Wood, M. Drusch, W. Crow, and T. J. Jackson, Using a microwave emission model to estimate soil moisture from ESTAR observations during SGP99, J. Hydromet., (5), 49-63, 2004.

4. Drusch, M., E. F. Wood, and H. Gao, Soil moisture retrieval during the Southern Great Plains Hydrology experiment 1999: A comparison between experimental remote sensing data and operational products, Water Resource Research, 40 (2): Art. No.W02504FEB 122004, 2004.


3. Bindlish, R., T. J. Jackson, E. F. Wood, H. Gao, P. Starks, D. Bosch and V. Lakshmi, Soil moisture estimates from TRMM Microwave Imager observations over the Southern United States, Rem. Sens. Envir., (85),507-515,2003.


2. Gu,S., H. Gao, Y. Zhu, B. Zhao, N. Lu, W. Zhang, Remote sensing land surface wetness by use of TRMM/TMI microwave data, Meteorol. Atmos. Phys., (80),59-63, 2002.


1. Zhao, B. L., Z. Y. Yao, W. B. Li, J. Yuan, Y. Chen, H. L. Gao, and Y. J. Zhu, Rainfall retrieval and flooding monitoring in China using TRMM Microwave Imager (TMI). Journal of the Meteorological Society of Japan, 79, 301-315, 2001.