Refereed Journal Papers 

2025

• Bavojdan, A. H., S. Ranjbar, D. Wang, and A. Singh (2025). Signatures of varying climate on geomorphic and topologic characteristics of channel networks, Water Resources Research, in press.

2024

• Zeng, F., Y. Zhang, J. S. Geurink, K. Parajuli, L. Yao, and D. Wang (2024). A Three‐Stage Partitioning Framework for Modeling Mean Annual Groundwater Evapotranspiration. Water Resources Research, 60, e2024WR037248. https:// doi.org/10.1029/2024WR037248

• Ford, L., D. Wang, K., Mukesh, and A. Sankarasubramanian (2024). Characterization of the Urban Heat Island Effect from Remotely Sensed Data based on a Hierarchical Model. Journal of Hydrology X, 25, 100184, https://doi.org/10.1016/j.hydroa.2024.100184.

• Gao, Y., F. Huang, and D. Wang (2024). Evaluating physical controls on conduit flow contribution to spring discharge. Journal of Hydrology, 630, 130754, https://doi.org/10.1016/j.jhydrol.2024.130754

2023

• Zhang, Y., Yao, L., Geurink, J. S., Parajuli, K., & Wang, D. (2023). Climatic control on mean annual groundwater evapotranspiration in a three-stage precipitation partitioning framework. Water Resources Research, 59, e2022WR034167. https://doi.org/10.1029/2022WR034167

2022

• Chen, X., D. Wang and M. Sivapalan (2022), Data Guided Exploration of the Energy Partitioning at Land Surface in the Contiguous US, Water Resources Research, https://doi.org/10.1029/2021WR031006.

• Yao, L. and D. Wang (2022), Climatic control on spatial distribution of water storage at the catchment scale: a framework for unifying saturation excess runoff models, Journal of Geophysical Research – Atmospheres, https://doi.org/10.1029/2021JD036334.

• Yao, L. and D. Wang (2022), Hydrological basis of different Budyko equations: the spatial variability of available water for evaporation, Water Resources Research, 58(2), https://doi.org/10.1029/2021WR030921. 

• Shokri, M., Y. Gao, K.M. Kibler, D. Wang, M.J. Wightman, and N. Rice (2022).  Contaminant transport from stormwater management areas to a freshwater karst spring in Florida: Results of near-surface geophysical investigations and tracer experiments. Journal of Hydrology: Regional Studies, 40, https://doi.org/10.1016/j.ejrh.2022.101055.

2021

• Mazrooei, A., M. Reitz, D. Wang, and S. Arumugam (2021), Urbanization impacts on evapotranspiration across various spatio-temporal scales, Earth's Future, 9(8), https://doi.org/10.1029/2021EF002045.  

• Yao, L., S. Arumugam, and D. Wang (2021), Climatic and landscape controls on long-term baseflow, Water Resources Research, 57, e2020WR029284. https://doi.org/10.1029/2020WR029284. 

• Gao, Y., L. Yao, N. Chang, and D. Wang (2021), Diagnosis toward predicting mean annual runoff in ungauged basins, Hydrology and Earth System Sciences,  25, 945–956.

• Ye., L., X. Gu, D. Wang and R. M. Vogel (2021), An unbiased estimator of coefficient of variation of streamflow, Journal of Hydrology, 594,  https://doi.org/10.1016/j.jhydrol.2021.125954. 

• Shokri, M., K. M. Kibler, C. Hagglund, A. Corrado, D. Wang, M. Beazley, and M. Wanielista (2021), Hydraulic and nutrient removal performance of vegetated filter strips with engineered infiltration media for treatment of roadway runoff, Journal of Environmental Management, 300(12), https://doi.org/10.1016/j.jenvman.2021.113747.

2020 

• Ghotbi, S., D. Wang, A. Singh, T. Mayo, M. Sivapalan (2020). Climate and landscape controls of regional patterns of flow duration curves across continental United States: statistical approach, Water Resources Research, 56, e2020WR028041. https://doi.org/10.1029/2020WR028041. 

• Ranjbar, S., Singh, A., and Wang, D. (2020). Controls of the topological connectivity on the structural and functional complexity of river networks, Geophysical Research Letters, 47, e2020GL087737. https://doi.org/10.1029/2020GL087737. 

• Yao, L., D. A. Libera, M. Kheimi, A. Sankarasubramanian, and D. Wang (2020), The roles of climate forcing and its variability on streamflow at daily, monthly, annual, and long-term scales, Water Resources Research, 55, e2020WR027111. https://doi.org/10.1029/2020WR027111. 

• Ghotbi, S., D. Wang, A. Singh, G. Blöschl, M. Sivapalan (2020), A new framework for exploring process controls of flow duration curves, Water Resources Research, 56, e2019WR026083. https://doi.org/10.1029/2019WR026083.

• Gao, Y., D. Libera, D. Wang, K. Kibler, and N. Chang (2020), Evaluating the performance of BAM-based blanket filter on nitrate reduction in a karst spring, Journal of Hydrology, 591:125491, https://doi.org/10.1016/j.jhydrol.2020.125491. 

• Arumugam, S., D. Wang, S. Archfield, M. Reitz, R. M. Vogel, A. Mazrooei, and S, Mukhopadhyaya (2020), Evolving Budyko’s legacy for the anthropocene towards a global synthesis of land-surface fluxes under natural and human-altered watersheds, Hydrology and Earth System Sciences, 24, 1975–1984.

• Sandhu, D., A. Singh, and D. Wang (2020), Can we infer the age of karst conduit from the profile of potentiometric surface? Journal of Hydrology, https://doi.org/10.1016/j.jhydrol.2020.124679

• Xie, K., P. Liu, J. Zhang, D. A. Libera, G. Wang, Z. Li, and D. Wang (2020). Verification of a New Spatial Distribution Function of Soil Water Storage Capacity Using Conceptual and SWAT Models, Journal of Hydrologic Engineering, 25(3): 04020001.

 2019 

• Hooshyar, M., A. Singh, D. Wang, and E. Foufoula-Georgiou (2019), Climatic controls on landscape dissection and network structure in the absence of vegetation, Geophysical Research Letters, 46(6), 3216-3224, https://doi.org/10.1029/2019GL082043.

• Hooshyar, M., A. Singh, and D. Wang (2019), Inter- and intra-basin competitions control drainage network density, Geophysical Research Letters, 46(2), 661-669, https://doi.org/10.1029/2018GL081020.

• Deng, C., P. Liu, W. Wang, Q. Shao, and D. Wang (2019), Modelling time-variant parameters of a two-parameter monthly water balance model, Journal of Hydrology,  573, 918-936, https://doi.org/10.1016/j.jhydrol.2019.04.027.

• Xiao, H., M. V. Bilskie, D. Wang, S. C. Medeiros, S. C. Hagen, C. R. Hall (2019), Exploration of the effects of storm surge on the extent of saltwater intrusion into the surficial aquifer in coastal east-central Florida (USA), Science of the Total Environment, 648, 1002-1017, https://doi.org/10.1016/j.scitotenv.2018.08.199.

2018 

• Wang, D. (2018), A new probability density function for spatial distribution of soil water storage capacity leads to SCS curve number method, Hydrology and Earth System Sciences, 22, 6567–6578, https://doi.org/10.5194/hess-22-6567-2018.

• Yao, L., D. Wang, M. Hooshyar, A. Singh, and M. Sivapalan (2018), Time compression approximation relationship for infiltration in the presence of a shallow water table: evaluating the role of Péclet number, Water Resources Research, 54. https://doi.org/10.1029/2018WR023293.

• Ranjbar, S., Hooshyar, M., Singh, A., and Wang, D. (2018). Quantifying climatic controls on river network branching structure across scales, Water Resources Research, 54. https://doi.org/10.1029/2018WR022853.

• Ye, L., L. S. Hanson, P. Ding, D. Wang, and R. M. Vogel (2018), The probability distribution of daily precipitation at the point and catchment scales in the United States, Hydrology and Earth System Sciences, 22, 6519–6531, https://doi.org/10.5194/hess-22-6519-2018.

• Lei, X., J. Zhao, D. Wang, M. Sivapalan (2018), A Budyko-type Model for Human Water Consumption, Journal of Hydrology, 567, 212-226. https://doi.org/10.1016/j.jhydrol.2018.10.021.

• Sandhu, D., A. Singh, S. J. Duranceau, B. H. Nam, T. Mayo, and D. Wang (2018), Fate and transport of radioactive gypsum stack water entering the Floridan aquifer due to a sinkhole collapse, Scientific Report, 8:11439, DOI:10.1038/s41598-018-29541-0.

•  J. Fan, D. Sumner, D. Wang (2018), A simple method for partitioning total solar radiation into diffuse/direct components in the United States, International Journal of Green Energy, 15:9, 497-506, DOI: 10.1080/15435075.2018.1484357.

• Tang, Y., D. Gooding, L. M. Castro Morales, D. Wang, P. F. Quintana-Ascencio, D. Hall, and J. E. Fauth (2018), Effect of herbicides on evapotranspiration of willow marshes in the Upper St. Johns River basin, east-central Florida, Journal of Hydrologic Engineering, 23(9): 05018018.

• Xiao, H., D. Wang, S. C. Medeiros, S. C. Hagen, C. R. Hall (2018), Assessing sea-level rise impact on saltwater intrusion into the root zone of a geo-typical area in coastal east-central Florida, Science of the Total Environment, 630, 211-221, https://doi.org/10.1016/j.scitotenv.2018.02.184.

• Reed, E. M., D. Wang, S. J. Duranceau (2018), Evaluating nitrate management in the Volusia Blue Springshed, Journal of Environmental Engineering, 144 (3), DOI: 10.1061/(ASCE)EE.1943-7870.0001324.

• Deng, C., P. Liu, D. Wang, and W. Wang (2018), Temporal variation and scaling of parameters for a monthly hydrologic model, Journal of Hydrology, 558, 290–300, https://doi.org/10.1016/j.jhydrol.2018.01.049.

2017 

• Tang, Y. and D Wang (2017), Evaluating the role of watershed properties in long-term water balance through a Budyko equation based on two-stage partitioning of precipitation, Water Resources Research, 53, 4142–4157, doi:10.1002/2016WR019920. Download data: github 

• Hooshyar, M., A. Singh, and D. Wang (2017), Hydrologic controls on junction angle of river networks, Water Resources Research, 53, doi:10.1002/2016WR020267.

• Tang, Y., M. Hooshyar, T. Zhu, C. Ringler, A.Y. Sun, D. Long, and D. Wang (2017), Reconstructing annual groundwater storage changes in a large-scale irrigation region using GRACE data and Budyko model, Journal of Hydrology, 551, 397–406.

• Bacopoulos, P., Y. Tang, D. Wang, and S.C. Hagen (2017), Integrated hydrologic-hydrodynamic modeling of estuarine-riverine flooding (Tropical Storm Fay, 2008), Journal of Hydrologic Engineering, 22(8), DOI:10.1061/(ASCE)HE.1943-5584.0001539.

• Reed, E., S. Duranceau, and D. Wang (2017), Modeling anthropogenic boron in groundwater flow and discharge at Volusia Blue Spring (Florida, U.S.), 25(1), Hydrogeology Journal, DOI 10.1007/s10040-016-1461-4.

2016 

• Zhang, C., W. Ding, Y. Li, Y. Tang, and D. Wang (2016), Catchments' hedging strategy on evapotranspiration for climatic variability, Water Resources Research, 52, doi:10.1002/2016WR019384.

• Hooshyar, M., D. Wang, S. Kim, S.C. Medeiros and S.C. Hagen (2016), Valley and channel network extraction based on local topographic curvature and K-means clustering of contour lines, Water Resources Research, 52, doi:10.1002/ 2015WR018479. Download the computer code: github 

• Hooshyar, M. and D. Wang (2016), An analytical solution of Richards' equation providing the physical basis of SCS curve number method and its proportionality relationship, Water Resources Research, 52, doi:10.1002/2016WR018885. 

• Zhao, J., D. Wang, H. Yang, and M.Sivapalan (2016), Unifying catchment water balance models for different time scales through the maximum entropy production principle, Water Resources Research, 52, doi:10.1002/2016WR018977. 

• Wang D. (2016), Comment on "Climate and agricultural land use change impacts on streamflow in the upper midwestern United States", Water Resources Research, 52, 4193–4194, doi:10.1002/2015WR018469. 

• Chen, X., D. Wang, F. Tian, and M. Sivapalan (2016), From channelization to restoration: socio-hydrologic modeling with changing community preferences in the Kissimmee River basin, Florida, Water Resources Research, 52(2), 1227–1244. doi:10.1002/2015WR018194. 

• Sandhu, D., A. Singh, N. Fan, D. Wang, and S. J. Duranceau (2016), Hydro-geomorphic response of Everglades to changing climate and anthropogenic activities, Journal of Hydrology, http://dx.doi.org/10.1016/j.jhydrol.2016.11.004. 

• Huang, W., S. C. Hagen, D. Wang, P. A. Hovenga, F. Teng, and J. F. Weishampel (2016), Suspended sediment projections in Apalachicola Bay in response to altered river flow and sediment loads under climate change and sea level rise, Earth’s Future, 4, doi:10.1002/2016EF000384. 

• Hovenga, P. A., D. Wang, S. C. Medeiros, S. C. Hagen, and K. Alizad (2016), The response of runoff and sediment loading in the Apalachicola River, Florida to climate and land use landcover change, Earth’s Future, 4, doi:10.1002/2015EF000348. 

• Ghosh, D.K., D. Wang, and T. Zhu (2016), On the transition of base flow recession from early stage to late stage, Advances in Water Resources, 88, 8-13. 

• Ghosh, D. K., D. Wang, M. V. Bilskie, and S. C. Hagen (2016), Quantifying changes of springshed area and net recharge through recession analysis of spring flow, Hydrological Processes, DOI:10.1002/hyp.10970. 

• Reed, E., S. Duranceau, and D. Wang (2016), Modeling anthropogenic boron in groundwater flow and discharge at Volusia Blue Spring (Florida, U.S.), Hydrogeology Journal, DOI 10.1007/s10040-016-1461-4. 

• Xiao, H., D. Wang, S. C. Hagen, S. C. Medeiros, C. R. Hall (2016), Assessing the impacts of sea-level rise and precipitation change on the surficial aquifer in the low-lying coastal alluvial plains and barrier islands, east-central Florida (USA), Hydrogeology Journal, doi:10.1007/s10040-016-1437-4. 

• Liu, M., X. Xu, D. Wang, A. Y. Sun, and K. Wang (2016), Karst catchments exhibited higher degradation stress from climate change than the non-karst catchments in southwest China: An ecohydrological perspective, Journal of Hydrology, 535, 173–180. 

2015 

• Hooshyar, M., S. Kim, D. Wang, and S.C. Medeiros (2015), Wet channel network extraction by integrating LiDAR intensity and elevation data, Water Resources Research, 51, doi:10.1002/2015WR018021. 

• Wang, D., J. Zhao, Y. Tang, and M. Sivapalan (2015), A thermodynamic interpretation of Budyko and L’vovich formulations of annual water balance: proportionality hypothesis and maximum entropy production, Water Resources Research, 51, 3007–3016. 

• Passeri, D. L., S. C. Hagen, S. C. Medeiros, M. V. Bilskie, K. Alizad, and D. Wang (2015), The dynamic effects of sea level rise on coastal landscapes: a review, Earth's Future, 3, doi:10.1002/2015EF000298. 

• Chen, X. and D. Wang (2015), Modeling seasonal surface runoff and base flow based on the generalized proportionality hypothesis, Journal of Hydrology, 527, 367–379. 

• Deng, C., P. Liu, S. Guo, H. Wang, and D. Wang (2015), Estimation of nonfluctuating reservoir inflow from water level observations using methods based on flow continuity, Journal of Hydrology, 529, 1198–1210. 

• Davtalab, R., D. Wang, T. Zhu, and C. Ringler (2015), Paleoprecipitation reconstruction in the Indus and Ganges basins by inverse modeling of tree-ring-based PDSI, Journal of Hydrometeorology, 16, 1372–1386. 

• Jiang, C., L. Xiong, D. Wang, P. Liu, S. Guo and C. Xu (2015), Separating the impacts of climate change and human activities on runoff using the Budyko-type equations with time-varying parameters, Journal of Hydrology, 522, 326-338. 

2014 

• Wang, D. and Y. Tang (2014), A one-parameter Budyko model for water balance captures emergent behavior in Darwinian hydrologic models, Geophysical Research Letters , 41, doi:10.1002/2014GL060509. 

• Tamura, H., P. Bacopoulos, D. Wang, S. C. Hagen, and E. J. Kubatko (2014), State estimation of tidal hydrodynamics using ensemble Kalman filter, Advances in Water Resources, 63, 45-56, http://dx.doi.org/10.1016/j.advwatres.2013.11.002. 

• Huang, W., S. C. Hagen, P. Bacopoulos, and D. Wang (2014), Hydrodynamic modeling and analysis of sea-level rise impacts on salinity for oyster growth in Apalachicola Bay, Florida, Estuarine, Coastal and Shelf Science, doi:10.1016/j.ecss.2014.11.008. 

• Chen, X., K. Alizad, D. Wang and S. C. Hagen (2014), Climate change impact on runoff and sediment loads to the Apalachicola River at seasonal and event scales, Journal of Coastal Research, 68, 35-42, DOI: 10.2112/SI68-005.1. 

• Deng, C., P. Liu, Y. Liu, Z. Wu, and D. Wang (2014), Integrated hydrologic and reservoir routing model for real-time water level forecasts, Journal Hydrologic Engineering , 10.1061/(ASCE)HE.1943-5584.0001138, 05014032. 

• Ehret, U., H. V. Gupta, M. Sivapalan, S. V. Weijs, S. J. Schymanski, G. Blöschl, A. N. Gelfan, C. Harman, A. Kleidon, T. A. Bogaard, D. Wang, T. Wagener, U. Scherer, E. Zehe, M. F. P. Bierkens, G. Di Baldassarre, J. Parajka, L. P. H. van Beek, A. van Griensven, M. C. Westhoff, and H. C. Winsemius (2014), Advancing catchment hydrology to deal with predictions under change, Hydrology and Earth System Sciences, 18, 649-671, doi:10.5194/hess-18-649-2014. 

• Sun, A. Y., D. Wang, and X. Xu (2104), Monthly streamflow forecasting using Gaussian process regression, Journal of Hydrology, 511, 72-81, http://dx.doi.org/10.1016/j.jhydrol.2014.01.023. 

• Zhang, F., Zhang, H., Hagen, S. C., Ye, M., Wang, D., Gui, D., Zeng, C., Tian, L. and Liu, J. (2014), Snow cover and runoff modelling in a high mountain catchment with scarce data: effects of temperature and precipitation parameters, Hydrological Processes, doi: 10.1002/hyp.10125. 

2013 

• Chen, X., N. Alimohammadi and D. Wang (2013), Modeling inter-annual variability of seasonal evaporation and storage change based on the extended Budyko framework, Water Resources Research, 49, doi:10.1002/wrcr.20493. 

• Chen, X. and D. Wang (2013), Evaluating the effect of partial contributing storage on storage–discharge function from recession analysis, Hydrology and Earth System Sciences, 10, 5767-5798. 

• Wang, D. and L. Wu (2013), Similarity of climate control on base flow and perennial stream density in the Budyko framework, Hydrology and Earth System Sciences, 17, 315-324. 

• Wang, D., S. C. Hagen, and K. Alizad (2013), Climate change impact and uncertainty analysis of extreme rainfall events in the Apalachicola River Basin, Florida, Journal of Hydrology, 480, 125–135. 

• Gohari A., Eslamian S., Abedi-Koupaei J., Massah Bavani A., Wang D., Madani K. (2013), Climate change impacts on crop productivity in Iran’s Zayandeh-Rud River basin, Science of the Total Environment, 442, 405-419, doi:10.1016/j.scitotenv.2012.10.029. 

2012 

• Wang, D. and N. Alimohammadi (2012), Responses of annual runoff, evaporation, and storage change to climate variability at the watershed scale, Water Resources Research, 48, W05546, doi:10.1029/2011WR011444. 

• Wang D. (2012), Evaluating interannual water storage changes at watersheds in Illinois based on long-term soil moisture and groundwater level data, Water Resources Research, 48, W03502, doi:10.1029/2011WR010759. 

• Cheng, L., Z. Xu, D. Wang, and X. Cai (2012), Reply to comment by Jozsef Szilagyi on "Assessing interannual variability of evapotranspiration at the catchment scale using satellite-based evapotranspiration data sets", Water Resources Research, 48, W03802, doi:10.1029/2011WR011799. 

2011 

• Wang D. and M. Hejazi (2011), Quantifying the relative contribution of the climate and direct human impacts on mean annual streamflow in the contiguous United States, Water Resources Research, 47, W00J12, doi:10.1029/2010WR010283. 

• Wang D. (2011), On the base flow recession at the Panola Mountain Research Watershed, Georgia, USA, Water Resources Research, 47, W03527, doi:10.1029/2010WR009910. 

• Wang D., M. Hejazi, X. Cai, and A. J. Valocchi (2011), Climate change impact on meteorological, hydrological, and agricultural drought in central Illinois, Water Resources Research, 47, W09527, doi:10.1029/2010WR009845. 

• Cheng, L., Z. Xu, D. Wang, and X. Cai (2011), Assessing interannual variability of evapotranspiration at the catchment scale using satellite-based evapotranspiration data sets, Water Resources Research, 47, W09509, doi:10.1029/2011WR010636. 

• Cai, X., X. Zhang, and D. Wang (2011), Land availability for biofuel production, Environmental Science and Technology, 45 (1): 334-339, DOI: 10.1021/es103338e. 

• Cai, X., M. Hejazi, and D. Wang (2011), The value of probabilistic weather forecasts-an assessment by real-time optimization of irrigation scheduling, Journal of Water Resources Planning and Management, doi:10.1061/(ASCE)WR.1943-5452.0000126. 

2010 

• Wang, D. and X. Cai (2010), Recession slope curve analysis under human interferences, Advances in Water Resources, doi:10.1016/j.advwatres.2010.06.010. 

• Wang, D. and X. Cai (2010), Comparative study of climate and human impacts on seasonal base flow in urban and agricultural watersheds, Geophysical Research Letters, 37, L06406, doi: 10.1029/2009GL041879. 

Before 2010 

• Wang, D., Y. Chen, and X. Cai (2009), State and parameter estimation of hydrologic models using the constrained ensemble Kalman filter, Water Resources Research, 45, W11416, doi: 10.1029/2008WR007401. 

• Wang, D. and X. Cai (2009), Detecting human interferences to low flows through base flow recession analysis, Water Resources Research, 45, W07426, doi: 10.1029/2009WR007819. 

• Cai, X., D. Wang, T. Zhu, and C. Ringler (2009), Assessing the regional variability of GCM simulations, Geophysical Research Letters, 36, L02706, doi: 10.1029/2008GL036443. 

• Wang, D. and X. Cai (2009), Irrigation scheduling – the role of weather forecasting and farmers’ behavior, Journal of Water Resources Planning and Management, 135(5), 1-9. 

• Cai, X., D. Wang, and R. Laurent (2009), Impact of soil moisture under climate change on crop yield – a case study of rainfed corn in central Illinois, Journal of Applied Meteorology and Climatology, 48(9), 1968-1881. DOI: 10.1175/2009JAMC1880.1. 

• Wang, D. and X. Cai (2008), Robust data assimilation in hydrological modeling – a comparison of Kalman and H-infinity filters, Advances in Water Resources, 31, 455-472. 

• Wang, D. and X. Cai (2007), Optimal estimation of irrigation schedule - an example of quantifying human interferences to hydrologic processes, Advances in Water Resourses, 30, 1844-1857. 

• Cai, X. and D. Wang (2006), Spatial autocorrelation of topographic index in catchments, Journal of Hydrology, 328, 581-591. 

• Cai, X. and D. Wang (2006), Calibrating a holistic water resources-economic model, Journal of Water Resources Planning and Management, 132(6), 414-423.