Peer Reviewed Journal Articles

Shah, D., Zhao, G., Li, Y., Singh, V. P., & Gao, H. Assessing Global Reservoir‐Based Hydrological Droughts by Fusing Storage and Evaporation. Geophysical Research Letters, 51(1), e2023GL106159, 2024
Román, M. O., Justice, C., Paynter, I., Boucher, P. B., Devadiga, S., Endsley, A., Erb, A., Friedl, M,. H. Gao,. … & Wolfe, R. Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products. Remote Sensing of Environment, 302, 113963, 2024.
Kumar, S., Imen, S., Sridharan, V. K., Gupta, A., McDonald, W., … H.Gao, … & Baskaran, L. Perceived barriers and advances in integrating earth observations with water resources modeling. Remote Sensing Applications: Society and Environment, 33, 101119, 2024
Li, D., Zhang, Z., Alizadeh, B., Zhang, Z., Duffield, N., Meyer, M.A., Thompson, C.M., Gao, H. and Behzadan, A.H., A reinforcement learning-based routing algorithm for large street networks. International Journal of Geographical Information Science, pp.1-33, 2023.
Li, Y., G. Zhao, G. Allen, and H. Gao, Diminishing storage returns of reservoir construction, Nature Communications, DOI: 10.1038/s41467-023-38843-5, 2023.
Shao, M, N. Fernando, J. Zhu, G. Zhao, S.C. Kao, B. Zhao, E Roberts, and H. Gao, Estimating Future Surface Water Availability through an Integrated Climate‐Hydrology‐Management Modeling Framework at a Basin Scale under CMIP6 Scenarios, Water Resources Research, DOI. 10.1029/2022WR034099, 2023.
Zhao, B, S. Kao, G. Zhao, S. Gangrade, D. Rastogi, M. Ashfaq, and H. Gao, Evaluating Enhanced Reservoir Evaporation Losses from CMIP6-Based Future Projections in the Contiguous United States, Earth’s Future, DOI: 10.1029/2022EF002961, 2023.
Li, X, D. Fu, J. Nielsen-Gammon, S. Gangrade, S. Kao, P. Chang, M. M. Hernández, N. Voisin, Z. Zhang, and H. Gao, Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2022.128774, 2023.
Quinn, N, V. Sridharan, J. Ramirez-Avila, S. Imen, H. Gao, R. Talchabhadel, S. Kumar, and W. McDonald, Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management, Socio-Environmental Systems Modelling, DOI: 10.18174/sesmo.18149, 2022.
Zhao G, Li Y, Zhou L, Gao H., Evaporative water loss of 1.42 million global lakes. Nature Communications, https://doi.org/10.1038/s41467-022-31125-6, 2022.
Li, X., C. Rankin, S. Gangrade, G. Zhao, K. Lander, N. Voisin, M. Shao, M. Morales-Hernández, S. Kao, and H. Gao, Evaluating precipitation, streamflow, and inundation forecasting skills during extreme weather events: A case study for an urban watershed, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2021.127126, 2021.
Hsu, H., C. Huang, M. Jasinski, Y. Li, H. Gao, T. Yamanokuchi, C. Wang, H. Ren, C. Kuo, and K. Tseng, A semi-empirical scheme for bathymetric mapping in shallow water by ICESat-2 and Sentinel-2: A case study in the South China Sea, ISPRS Journal of Photogrammetry and Remote Sensing, DOI: 10.1016/j.isprsjprs.2021.05.012, 2021.
Li, Y., G. Zhao, D. Shah, M. Zhao, S. Sarkar, S. Devadiga, B. Zhao, S. Zhang, and H. Gao, NASA’s MODIS/VIIRS global water reservoir product suite from moderate resolution remote sensing data, Remote Sensing, DOI: 3390/rs13040565, 2021.
Li, Y., H. Gao, G. Allen, and Z. Zhang, Constructing reservoir Area-Volume-Elevation curve from TanDEM-X DEM data, IEEE Topics in Applied Earth Observations and Remote Sensing, DOI:10.1109/JSTARS.2021.3051103, 2021.
Zhao, G., H. Gao, and S. Kao, The implications of future climate change on the blue water footprint of hydropower in the contiguous US, Environmental Research Letters, DOI:10.1088/1748-9326/abd78d, 2021.
Li, X., G. Zhao, J. Nielsen-Gammon, J. Salazar, M. Wigmosta, N. Sun, D. Judy, and H. Gao, Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey, Environmental Research Letters, DOI: 10.1088/1748-9326/abc4ff, 2020.
Zhao, G., H. Gao, and X. Cai, Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data, Remote Sensing of Environment, DOI:10.1016/j.rse.2020.112104, 2020.
Li, Y., H. Gao, G. Zhao, and K. Tseng, A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry, Remote Sensing of Environment, DOI: 10.1016/j.rse.2020.111831, 2020.
Nielsen‐Gammon, J., J. Banner, B. Cook, D. Tremaine, C. Wong, R. Mace, H. Gao, Z. Yang, M. Gonzalez, R. Hoffpauir, T. Gooch, K. Kloesel, Unprecedented drought challenges for Texas water resources in a changing climate: what do researchers and stakeholders need to know? Earth’s Future, DOI: 10.1029/2020EF001552, 2020.
Shao, M., G. Zhao, S. Kao, L. Cuo, C. Rankin, and H. Gao, Quantifying the Effects of Urbanization on Floods in a Changing Environment to Promote Water Security—A Case Study of Two Adjacent Basins in Texas, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2020.125154, 2020.
Zhang, S. and H. Gao, Using the Digital Elevation Model (DEM) to improve the spatial coverage of the MODIS based reservoir monitoring network in South Asia, Remote Sensing, DOI: 10.3390/rs12050745, 2020.
Li, Z, X. Shi, Q. Tang, Y. Zhang, H. Gao, X. Pan, S. Dery, P. Zhou, Partitioning the contributions of glacier melt and precipitation to the 1971-2010 runoff increases in a headwater basin of the Tarim River, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2020.124579, 2020.
Zhao, G. and H. Gao, Towards global hydrological drought monitoring using remotely sensed reservoir surface area, Geophysical Research Letters, DOI: 10.1029/2019GL085345, 2019.
Li, Y., C. Hu, A. Quigg, and H. Gao, Potential influence of the Deepwater Horizon oil spill on phytoplankton primary productivity in the northern Gulf of Mexico, Environmental Research Letters, DOI: 10.1088/1748-9326/ab3735, 2019.
Li, Y., H. Gao, M. F. Jasinski, S. Zhang, and Jeremy D Stoll, Deriving High-Resolution Reservoir Bathymetry From ICESat-2 Prototype Photon-Counting Lidar and Landsat Imagery, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2019.2917012, 2019.
Zhao, G. and H. Gao, Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches, Remote Sensing of Environment, 226, 109-124,
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, https://doi.org/10.5194/hess-23-277-2019, 2019.
Zhao, G. and H. Gao, Automatic correction of contaminated images for assessment of reservoir surface area dynamics, Geophysical Research Letters, https://doi.org/10.1029/2018GL078343, 2018. Download the Global Reservoir Surface Area Dataset (GRSAD)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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)
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.
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)
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Tang, Q., H. Gao, H. Lu, and D. P. Lettenmaier: Remote sensing: Hydrology, Progresses in Physical Geography, 33(4), 490-509, 2009.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Shah, D., Zhao, G., Li, Y., Singh, V. P., & Gao, H. Assessing Global Reservoir‐Based Hydrological Droughts by Fusing Storage and Evaporation. Geophysical Research Letters, 51(1), e2023GL106159, 2024

Román, M. O., Justice, C., Paynter, I., Boucher, P. B., Devadiga, S., Endsley, A., Erb, A., Friedl, M,. H. Gao,. … & Wolfe, R. Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products. Remote Sensing of Environment, 302, 113963, 2024.

Kumar, S., Imen, S., Sridharan, V. K., Gupta, A., McDonald, W., … H.Gao, … & Baskaran, L. Perceived barriers and advances in integrating earth observations with water resources modeling. Remote Sensing Applications: Society and Environment, 33, 101119, 2024

Li, D., Zhang, Z., Alizadeh, B., Zhang, Z., Duffield, N., Meyer, M.A., Thompson, C.M., Gao, H. and Behzadan, A.H., A reinforcement learning-based routing algorithm for large street networks. International Journal of Geographical Information Science, pp.1-33, 2023.

Li, Y., G. Zhao, G. Allen, and H. Gao, Diminishing storage returns of reservoir construction, Nature Communications, DOI: 10.1038/s41467-023-38843-5, 2023.

Shao, M, N. Fernando, J. Zhu, G. Zhao, S.C. Kao, B. Zhao, E Roberts, and H. Gao, Estimating Future Surface Water Availability through an Integrated Climate‐Hydrology‐Management Modeling Framework at a Basin Scale under CMIP6 Scenarios, Water Resources Research, DOI. 10.1029/2022WR034099, 2023.

Zhao, B, S. Kao, G. Zhao, S. Gangrade, D. Rastogi, M. Ashfaq, and H. Gao, Evaluating Enhanced Reservoir Evaporation Losses from CMIP6-Based Future Projections in the Contiguous United States, Earth’s Future, DOI: 10.1029/2022EF002961, 2023.

Li, X, D. Fu, J. Nielsen-Gammon, S. Gangrade, S. Kao, P. Chang, M. M. Hernández, N. Voisin, Z. Zhang, and H. Gao, Impacts of climate change on future hurricane induced rainfall and flooding in a coastal watershed, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2022.128774, 2023.

Quinn, N, V. Sridharan, J. Ramirez-Avila, S. Imen, H. Gao, R. Talchabhadel, S. Kumar, and W. McDonald, Applications of GIS and remote sensing in public participation and stakeholder engagement for watershed management, Socio-Environmental Systems Modelling, DOI: 10.18174/sesmo.18149, 2022.

Zhao G, Li Y, Zhou L, Gao H., Evaporative water loss of 1.42 million global lakes. Nature Communications, https://doi.org/10.1038/s41467-022-31125-6, 2022.

Li, Y., G. Zhao, D. Shah, M. Zhao, S. Sarkar, S. Devadiga, B. Zhao, S. Zhang, and H. Gao, NASA’s MODIS/VIIRS global water reservoir product suite from moderate resolution remote sensing data, Remote Sensing, DOI: 3390/rs13040565, 2021.

Li, Y., H. Gao, G. Allen, and Z. Zhang, Constructing reservoir Area-Volume-Elevation curve from TanDEM-X DEM data, IEEE Topics in Applied Earth Observations and Remote Sensing, DOI:10.1109/JSTARS.2021.3051103, 2021.

Zhao, G., H. Gao, and S. Kao, The implications of future climate change on the blue water footprint of hydropower in the contiguous US, Environmental Research Letters, DOI:10.1088/1748-9326/abd78d, 2021.

Li, X., G. Zhao, J. Nielsen-Gammon, J. Salazar, M. Wigmosta, N. Sun, D. Judy, and H. Gao, Impacts of urbanization, antecedent rainfall event, and cyclone tracks on extreme floods at Houston reservoirs during Hurricane Harvey, Environmental Research Letters, DOI: 10.1088/1748-9326/abc4ff, 2020.

Zhao, G., H. Gao, and X. Cai, Estimating lake temperature profile and evaporation losses by leveraging MODIS LST data, Remote Sensing of Environment, DOI:10.1016/j.rse.2020.112104, 2020.

Li, Y., H. Gao, G. Zhao, and K. Tseng, A high-resolution bathymetry dataset for global reservoirs using multi-source satellite imagery and altimetry, Remote Sensing of Environment, DOI: 10.1016/j.rse.2020.111831, 2020.

Shao, M., G. Zhao, S. Kao, L. Cuo, C. Rankin, and H. Gao, Quantifying the Effects of Urbanization on Floods in a Changing Environment to Promote Water Security—A Case Study of Two Adjacent Basins in Texas, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2020.125154, 2020.

Zhang, S. and H. Gao, Using the Digital Elevation Model (DEM) to improve the spatial coverage of the MODIS based reservoir monitoring network in South Asia, Remote Sensing, DOI: 10.3390/rs12050745, 2020.

Li, Z, X. Shi, Q. Tang, Y. Zhang, H. Gao, X. Pan, S. Dery, P. Zhou, Partitioning the contributions of glacier melt and precipitation to the 1971-2010 runoff increases in a headwater basin of the Tarim River, Journal of Hydrology, DOI: 10.1016/j.jhydrol.2020.124579, 2020.

Zhao, G. and H. Gao, Towards global hydrological drought monitoring using remotely sensed reservoir surface area, Geophysical Research Letters, DOI: 10.1029/2019GL085345, 2019.

Li, Y., C. Hu, A. Quigg, and H. Gao, Potential influence of the Deepwater Horizon oil spill on phytoplankton primary productivity in the northern Gulf of Mexico, Environmental Research Letters, DOI: 10.1088/1748-9326/ab3735, 2019.

Li, Y., H. Gao, M. F. Jasinski, S. Zhang, and Jeremy D Stoll, Deriving High-Resolution Reservoir Bathymetry From ICESat-2 Prototype Photon-Counting Lidar and Landsat Imagery, IEEE Transactions on Geoscience and Remote Sensing, DOI: 10.1109/TGRS.2019.2917012, 2019.

Zhao, G. and H. Gao, Estimating reservoir evaporation losses for the United States: Fusing remote sensing and modeling approaches, Remote Sensing of Environment, 226, 109-124,

Zhao, G. and H. Gao, Automatic correction of contaminated images for assessment of reservoir surface area dynamics, Geophysical Research Letters, https://doi.org/10.1029/2018GL078343, 2018. Download the Global Reservoir Surface Area Dataset (GRSAD)

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.

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.

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.

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.

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.

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.

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.

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.

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.

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)

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)

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.