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Computational EcoHydrology Lab 

Hello! I'm Dongkook

I'm an Assistant Professor at Keimyung University.

Investigations to improve understanding of ecohydrological and biogeochemical dynamics through hybrid parallel simulations and experimental techniques.


Dong Kook Woo

Assistant Professor

Department of Civil Engineering

Keimyung University, Daegu, South Korea

Faculty Affiliate

Climate & Ecosystem Sciences Division

Lawrence Berkeley National Laboratory, CA, USA

Research Area

Computational Ecohydrology and Biogeochemistry


+82) 053-580-5296



Engineering Building #2111

1095 Dalgubeoldaero, Dalseo-gu, Daegu, 42601, South Korea


Research Assistant


Assistant Professor

Keimyung University

  • Develop numerical representations of complex inter-related terrestrial ecosystem processes.


Faculty Affiliate


Postdoctoral Scholar

Lawrence Berkeley National Laboratory


Postdoctoral Research Associate

University of Illinois at Urbana-Champaign

  • Explore the impacts of weather variability on the spatial and temporal distribution of water and nutrient age.


Research Assistant

University of Illinois at Urbana-Champaign

  • Develop a hybrid CPU-GPU parallel modeling system that links distributed physically-based integrated surface and subsurface flow processes.

  • Contribute to an interdisciplinary research project, Intensively Managed Landscape - Critical Zone Observatory.


Ph.D. in Civil and Environmental Eng

with Computer Science and Engineering Conc

University of Illinois at Urbana-Champaign

Dissertation title: Dynamics of soil-inorganic nitrogen age under hydrological and micro-topographic variability.

Advisor: Dr. Praveen Kumar


M.S. in Civil and Environmental Eng

University of Illinois at Urbana-Champaign

Dissertation title: Soil carbon and nitrogen cycle modeling for bioenergy crops

Advisor: Dr. Praveen Kumar


B.S. in Civil and Environmental Eng

Dankook University


23. Lee, S., D.K. Woo*, H. Choi (2023). Estimating soil moisture without disturbing soil structure using leaky Rayleigh waves and a fully convolutional network, Vadose Zone Journal, e20285, 10.1002/vzj2.20285

22. D.K. Woo, J. Ji, H. Song (2023). Subsurface drainage pipe detection using an ensemble learning approach and aerial images. Agricultural Water Management, 287, 108455, 10.1016/j.agwat.2023.108455

21. Seo, Y., Y. Kwon, J.S. Hwang, D.K. Woo*. (2023). A Comparative Experimental Study of Green Roofs based on Radiation Budget and

Surface Energy Balance. KSCE ​Journal of Civil Engineering. 10.1007/s12205-023-1491-0

20. Woo, D.K., Y. Seo, (2022). Effects of elevated temperature and abnormal precipitation on soil carbon and nitrogen dynamics in a Pinus densiflora forest. Frontiers in Forests and Global Change, 5:1051210. 10.3389/ffgc.2022.1051210

19. Woo, D.K.*, W.J. Riley, R.F. Grant, Y. Wu. (2022). Site-specific field management adaptation is key to feeding the world in the 21st century. Agricultural and Forest Meteorology. 327, 109230. 10.1016/j.agrformet.2022.109230

18. Woo, D.K., W. Do, J. Hong, H. Choi. (2022). A novel and non-invasive approach to evaluate soil moisture without soil disturbances: Contactless ultrasonic system. Sensors. 22, 7450

17. Roque-Malo, S., Q. Yan, D.K. Woo, J.L. Druhan, P. Kumar. (2022). Advances in Biogeochemical Modeling for Intensively Managed Landscapes. Biogeochemistry of the Critical Zone. 10.1007/978-3-030-95921-0_6

16. Cain, M., D.K. Woo, P. Kumar, L. Keefer, and A. Ward. (2022). Antecedent conditions control thresholds of tile-runoff generation and nitrogen export in intensively managed landscapes. Water Resour. Res. 10.1029/2021WR030507

15. Woo, D.K.*, W, Do, (2021). The role of forest in climate change for carbon, nitrogen, and water: A case study of Pinus densiflora, Water, 13, 3050.

14. Woo, D.K.*, W.J. Riley, A. Paez-Garcia, A. R. Marklein, Z. A. Mekonnen, X. Liu, X. Ma, E. Blancaor, Y. Wu, (2021). Impoverishing roots will improve wheat yield and profitability through increased water and nitrogen use efficiencies, JGR-Biogeosciences, 126, e2020JG005829

13. Nandan, R. D.K. Woo, P. Kumar, and J. Adinarayana. (2021). Impact of irrigation scheduling methods on corn yield under climate change, Agricultural Water Management, 255, 106990

12. Song, H, D.K. Woo*, and Q. Yan. (2021). Detecting subsurface drainage pipes using a fully convolutional network with optical images, Agricultural Water Management, 249, 106791 

11. Roque-Malo, S., D.K. Woo, and P. Kumar. (2020). Modeling the role of root exudation in critical zone nutrient dynamics, Water Resour. Res., e2019WR026606

10. Woo, D.K.*, W.J. Riley, and Y. Wu. (2020). More fertilizer and impoverished root required for improving wheat yields and profits under climate change, Field Crops Research, 249, 107756.

9. Kratt, C.B., D.K. Woo, K.N. Johnson, M. Haagsma, P. Kumar, J. Selker, and S. Tyler. (2020). Field trials to detect drainage pipe networks using thermal and RGB data from unmanned aircraft. Agricultural Water Management, 229, 105895

8. Woo, D.K., H. Song, and P. Kumar. (2019). Mapping subsurface tile drainage systems with thermal images. Agricultural Water Management, 218, 94–101


7. Woo, D.K., and P. Kumar. (2019). Impacts of subsurface tile drainage on age–concentration dynamics of inorganic nitrogen in soil. Water Resour. Res., 55, 1470–1489


6. Yan, Q., P.V.V. Le, D.K. Woo, T. Hou, T. Filley and P. Kumar. (2019). 3-D modeling of the coevolution of landscape and soil organic carbons. Water Resour. Res., 55, 1218–1241


5. Wilson, C., L. Keefer, B. Abban, K. Wacha, D. Dermisis, C. Giannopoulos, S. Zhou, A. Goodwell, D.K. Woo, et al. (2018). The Intensively Managed Landscape Critical Zone Observatory: A Scientific testbed for agroecosystem functions and services. Vadose Zone Journal. 17, 180088.


4. Woo, D.K., and P. Kumar. (2017). Role of micro-topographic variability on the distribution of inorganic soil-nitrogen age in Intensively Managed Landscape. Water Resour. Res., 53, 8404-8422.


3. Dutta, D., K. Wang, E. Lee, A. Goodwell, D.K. Woo, D. Wagner, and P. Kumar. (2016). Characterizing vegetation canopy structure using airborne remote sensing data. Geoscience and Remote Sensing, IEEE Transaction on. 99, 1-19.


2. Woo, D.K., and P. Kumar. (2016). Mean age distribution of inorganic soil-nitrogen. Water Resour. Res, 48, 12090-12098.

1. Woo, D.K., J.C. Quijano, P. Kumar, S. Chaoka, and C.J. Bernacchi. (2014). Threshold dynamics in soil carbon storage for bioenergy crops. Environmental Science & Technology, 48, 12090-12098.

Domestic Journal

3. Noh, S.J., G. Lee, B. Lee, J. Jo, D.K. Woo*. (2023). Climate change impact analysis on water supply reliability and flood risk using combined rainfall-runoff and reservoir operation modeling: Hapcheon-Dam catchment case. J. Korea Water Resour. Assoc. Accepted

2. WooD.K., J. Jo, B. Kang, S. Lee, G. Lee, S.J. Noh. (2023). Assessing the sensitivity of runoff projections under precipitation and temperature variability using lumped runoff-rainfall models: IHACRES and GR4J. KSCE Journal of Civil and Environmental Engineering Research. Accepted.

1. Lee, G., S. Lee, B. Kim, D.K. Woo, S.J. Noh. (2022). Comparative assessment and uncertainty analysis of ensemble-based hydrologic data assimilation using airGRdatassim. J. Korea Water Resour. Assoc. 31,761-774

* Corresponding author

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Site-specific field management adaptation is key to feeding the world in the 21st century

  • Over the 21st century, anthropogenic climate change has added, and will continue to add, pressure on food security

  • Through synergistic interactions between field management strategies, considerable improvements in global wheat yields can be achieved

  • Spatially heterogeneous adaption strategies had the potential to improve global wheat yields by 91% by 2100 compared to the present day 

Thet Nway Nyein

Master Student

Graduate Research Assistant

Seoungmin Lee

Master Student

Graduate Research Assistant

Jihyun Jo

Mater Student

Graduate Research Assistant

Taegue Yoon

Undergraduate Research


Mingak Kim

Undergraduate Research


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Our history
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