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Dong-Jun Seo

  • Robert S. Gooch Endowed Professor of Water Resources Engineering
  • Professor, Department of Civil Engineering, The University of Texas at Arlington (UTA)

Education

  • 1988 PhD, Civil and Environmental Engineering, Utah State University
  • 1985 MS, Civil and Environmental Engineering MIT
  • 1983 BS, Soil and Water, Seoul National University

Publications

  1. Yuqiong Liu, Albrecht H. Weerts, Martyn Clark, Harrie-Jan Hendricks Franssen, Sujay Kumar, Hamid Moradkhani, Dong-Jun Seo, Dirk Schwanenberg, Paul Smith, Albert van Dijk, Nils van Velzen, Minxue He, Haksu Lee, Seong Jin Noh, Olda Rakovec, and Pedro Restrepo. 2014. Toward Advancing Data Assimilation in Operational Hydrologic Forecasting and Water Resources Management: A Review of the Current Status, Challenges, and Emerging Opportunities, accepted for publication in Special Issue on Latest Advances and Developments in Data Assimilation for Operational Hydrologic Forecasting and Water Resources Management, Hydrology and Earth Systems Sciences.
  2. Regonda, S., D.-J. Seo, B. Lawrence, 2014. Short-term Ensemble Streamflow Forecasting Using Operationally-Produced Single-valued Streamflow Forecasts - A Hydrologic Model Output Statistics (HMOS) Approach, submitted to Journal of Hydrology.
  3. Demargne, J.,  L. Wu, S. Regonda, J. Brown, H. Lee, M. He, D.-J. Seo, R. Hartman, M. Fresch, and Y. Zhu, 2014.The Science of NOAA's Operational Hydrologic Ensemble Forecast Service, submitted to the Bulletin of the American Meteorological Society.
  4. Hou, D., M. Charles, Y. Luo, Z. Toth, Y. Zhu, R. Krzysztofowicz, Y. Lin, P. Xie, D.-J. Seo, M. Pena, and B. Cui. 2014. Climatology-Calibrated Precipitation Analysis at Fine Scales: Statistical Adjustment of STAGE IV towards CPC Gauge-Based Analysis, submitted to Journal of Hydrometeorology.
  5. Lee, H., D.-J. Seo, and V. Koren, 2014. Assimilation of streamflow and in-situ soil moisture data into operational distributed hydrologic models: Effects of uncertainty in the data and initial soil moisture conditions, accepted for publication in Advances in Water Resources.
  6. Lee, H., Y. Zhang, D.-J. Seo, R. Kuligowski, D. Kitzmiller, and R. Corby. 2014. Assessment of Satellite- and Ground Sensor-based Quantitative Precipitation Estimates for Operational Flood Forecasting, submitted to Journal of Hydrology.
  7. Zhang, Y., D.-J. Seo, D. Kitzmiller, H. Lee, R. Kuligowski, D. Kim and C. Kondragunta. 2014. A Comparative Evaluation of SCaMPR Satellite QPEs vs. Gridded Gauge-Only Analyses, submitted to Journal of Hydrometeorology.
  8. Weerts, A., D.-J. Seo, M. Werner, and J. C. Schaake, 2013. Operational hydrologic ensemble forecasting, chapter to appear in Applied Uncertainty Analysis for Flood Risk Management, K. Beven and J. Hall, Editors
  9. Seo, D.-J., 2011. Toward operational hydrologic ensemble forecasting across weather and climate scales, proceedings for WIRADA Science Symposium, 1-5 August 2011, Melbourne, Australia.
  10. Lee, H., D.-J. Seo, Y. Liu, V. Koren, P. McKee, and R. Corby. 2012. Variational Assimilation of Streamflow into Operational Distributed Hydrologic Models: Effect of Spatiotemporal Adjustment Scale, Special Issue on Latest Advances and Developments in Data Assimilation for Operational Hydrologic Forecasting and Water Resources Management, Hydrology and Earth Systems Sciences,http://www.hydrol-earth-syst-sci-discuss.net/9/93/2012/hessd-9-93-2012.html.
  11. Brown, J. D. and D.-J. Seo, 2012. Evaluation of a nonparametric post-processor for bias correction and uncertainty estimation of hydrologic predictions, Hydrol. Process. Published online in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/hyp.9263.
  12. Seo D-J. 2012. Conditional bias-penalized kriging. Stochastic Environmental Research and Risk Assessment. DOI 10.1007/s00477-012-0567-z (online first),http://www.springerlink.com/content/f5q475570q08252t/.
  13. Habib, E., L. Qin and D.-J. Seo. 2012. Comparison of Different Radar-Gauge Merging Techniques in the NWS Multi-sensor Precipitation Estimator Algorithm, accepted for publication in Weather Radar and Hydrology Special Issue, IAHS Publ. 351 (Red Books).
  14. Lee, H., D.-J. Seo, and V. Koren, 2011. Assimilation of streamflow and in-situ soil moisture data into operational distributed hydrologic models: Effects of uncertainty in the data and initial soil moisture conditions, Advances in Water Resources, 34, 1597-1615.
  15. Liu, Y., J. Brown, J. Demargne, and D.-J. Seo, 2011. A wavelet-based approach to assessing timing errors in hydrologic predictions, J. Hydrol., 397(3-4), 210-224.
  16. Zhang, J., K. Howard, C. Langston, S. Vasiloff, B. Kaney, A. Arthur, S. V. Cooten, K. Kelleher,D. Kitzmiller, F. Dong, D.-J. Seo, E. Wells, M. Mullusky and C. Dempsey, 2011. NationalMosaic and Multi-sensor QPE (NMQ) System – Description, Results and Future Plans, to appear in Bulletin of the American Meteorological Society.
  17. Brown, J. B., J. Du, and D.-J. Seo, 2011. Verification of precipitation forecasts from NCEP's Short Range Ensemble Forecast (SREF) system with reference to hydrologic forecasting in lumped basins, Journal of Hydrometeorology, doi: http://dx.doi.org/10.1175/JHM-D-11-036.1.
  18. Habib, E., Qin, L., D.-J. Seo, G. Ciach, and B. R. Nelson, 2011. Independent Assessment of Incremental Complexity in the NWS Multi-Sensor Precipitation Estimator Algorithms, Journal of Hydrologic Engineering, doi: http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000638
  19. Wu, L., D.-J. Seo, J. Demargne, J. Brown, S. Cong, and J. Schaake, 2011. Generation of ensemble precipitation forecast from single-valued quantitative precipitation forecast via meta-Gaussian distribution-based models, J. Hydrol., 399(3-4), 281-298.
  20. D.-J. Seo, J. Demargne, L. Wu, Y. Liu, J. D. Brown, S. Regonda, and H. Lee, Hydrologic Ensemble Prediction for Risk-Based Water Resources Management and Hazard Mitigation, 4th Federal Interagency Hydrologic Modeling Conference, June 27-July 1, 2010, Las Vegas, NV.
  21. Nelson, B., D.-J. Seo, and D. Kim, 2010. Multisensor Precipitation Reanalysis. Journal of Hydrometeorology. 11(3), 666-682.
  22. Brown, J.D. and Seo, D-J., 2010. A nonparametric post-processor for bias correcting ensemble forecasts of hydrometeorological and hydrologic variables. Journal of Hydrometeorology. 11(3), 642-665.
  23. Brown, J.D., Demargne, J., Seo, D-J. and Liu, Y., 2010. The Ensemble Verification System (EVS): a software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations. Environmental Modelling and Software. 25(7), 854-872.
  24. Demargne J., Brown J.D., Liu Y., Seo D-J., Wu L., Toth Z., and Zhu Y. (2010) Diagnostic verification of hydrometeorological and hydrologic ensembles. Atmospheric Science Letters, 11 (2), 114-122.
  25. Seo, D.-J., A. Seed, and G. Delrieu, 2010. Radar-based rainfall estimation, chapter in AGU Book Volume on Rainfall: State of the Science, F. Testik and M. Gebremichael, Editors.
  26. Restrepo, P., J. Schaake, and D.-J. Seo, OHD Core Project Progress Report for FY08, Office of Hydrologic Development, NWS, Silver Spring, Feb 2009.
  27. Seo, D.-J., L. Cajina, R. Corby and T. Howieson, 2009: Automatic State Updating for Operational Streamflow Forecasting via Variational Data Assimilation, 367, Journal of Hydrology, 255-275.
  28. Kim, D., B. Nelson, and D.-J. Seo, 2009. Characteristics of Reprocessed Hydrometeorological Automated Data System (HADS) Hourly Precipitation Data. Weather and Forecasting, 24, 1287-1296.
  29. Restrepo, P., J. Schaake, and D.-J. Seo, OHD Core Project Progress Report for FY06-07, Office of Hydrologic Development, NWS, Silver Spring, Feb 2008.
  30. Kuzmin, V., Seo, D.-J., Koren, V., 2008. Fast and efficient optimization of hydrologic model parameters using a priori estimates and stepwise line search. J. Hydrol. 353 (1–2), 109–128.
  31. Schaake, J. C., P. J. Restrepo, D.-J. Seo, R. Hartman, K. Werner, L. Wu, and J. Demargne, 2007. Development of a strategy for including long-range climate forecast information in ensemble forcing for hydrologic ensemble prediction, 6B.7, 21st Conference on Hydrology, AMS Annual Meeting, 2007
  32. Demargne, J., L. Wu, D.-J. Seo, and J. Schaake, 2007. Experimental hydrometeorological and hydrologic ensemble forecasts and their verification in the U.S. National Weather Service, IUGG General Assembly, Perugia, Italy, 2007.
  33. Hartman, R., D.-J. Seo, B. Lawrence, S. Shumate, J. Ostrowski, J. Halquist, C. Dietz, and M. Mullusky, 2007. The Experimental Ensemble Forecast System (XEFS) Design and Gap Analysis, NOAA/NWS, Silver Spring, MD, May 2007.
  34. Carter, G., P. Restrepo, J.Kochendorfer, M. Smith, S. Reed, V. Koren, D. Kitzmiller, D. Riley, D. Miller, D.J. Seo, J. Demargne, 2007. Chapter, Office of Hydrologic Development Hydrology Laboratory Strategic Science Plan, NWS, Silver Spring, MD, Dec 2007.
  35. Restrepo, P., J. Schaake, and D.-J. Seo, 2007. OHD Core Project Progress Report for FY06, Office of Hydrologic Development, NWS, Silver Spring, Apr 2007.
  36. Vasiloff, S. V., D.-J. Seo, K. W. Howard, J. Zhang, D. H. Kitzmiller, M. G. Mullusky, W. F. Krajewski, E. A. Brandes, R. M. Rabin, D. S. Berkowitz, H. E. Brooks, J. A. McGinley, R. J. Kuligowski, B. G. Brown, 2007: Improving QPE and Very Short-Term QPF: An Initiative for a Community-wide Integrated Approach, Bulletin of the American Meteorological Society, December, 1899-1911.
  37. Demargne, J., L. Wu, D.-J. Seo, and J. Schaake, Experimental hydrometeorological and hydrologic ensemble forecasts and their verification in the U.S. National Weather Service. IAHS Publications Series (Red Books), 313, 177-187, 2007.
  38. Nelson, B. R, D. Kim, D.-J. Seo, and J. Bates, 2006. Multi-sensor precipitation reanalysis, 4.6, 20th Conference on Hydrology, AMS Annual Meeting, 2006.
  39. Restrepo, P., J. Schaake, and D.-J. Seo, 2006. OHD Core Project Progress Report for FY06, Office of Hydrologic Development, NWS, Silver Spring, Apr 2006.
  40. Seo, D.-J., H. Herr and J. Schaake, 2006. A statistical post-processor for accounting of hydrologic uncertainty in short-range ensemble streamflow prediction, Hydrol. Earth Syst. Sci. Discuss., 3, 1987-2035.
  41. Seo, D.-J., C. R. Kondragunta, K. Howard, S. V. Vasiloff, and J. Zhang, 2005. The National Mosaic and Multisensor QPE (NMQ) Project—Status and plans for a community testbed for high-resolution multisensor quantitative precipitation estimation (QPE) over the United States, 1.3, 19th Conf on Hydrology, AMS Annual Meeting, 2005.
  42. Ding, F., D. Kitzmiller, D.-J. Seo, D. Riley, C. Dietz, C. Pham, and D. Miller, A multi-site evaluation of the range correction and convective-stratiform separation algorithms for improving WSR-88D rainfall estimates, 19th Conf on Hydrol, P2.11, AMS Annual Meeting, 2005.
  43. Kondragunta, C., D. Kitzmiller, D.-J. Seo, and K. Shrestha, 2005. Objective Integration of Satellite, Rain Gauge, and Radar Precipitation Estimates in the Multisensor Precipitation Estimator Algorithm, 2.8, 19th Conf on Hydrology, AMS Annual Meeting, 2005.
  44. Ding, F., D. H. Kitzmiller, D. Riley, K. Shrestha, F. Moreda, and D.-J. Seo, Evaluation of the Range Correction Algorithm and Convective Stratiform Separation Algorithm for Improving Hydrological Modeling, 13R.2, 32nd Conference on Radar Meteorology, 2005.
  45. Salek, M., P. Novak and D.-J. Seo, 2004. Operational application of combined radar and raingauges precipitation estimation at the CHMI, Proceedings of ERAD (2004): 16–20 c  Copernicus GmbH 2004 ERAD, 2004.
  46. Ding, F., D.-J. Seo and D. H. Kitzmiller, 2004. Validation of Range Correction Algorithm Using Real time Radar Data From Sterling, VA, J1.5, 18th Conference on Hydrology, AMS Annual Meeting, 2004.
  47. Reed, S., J. Schaake, V. Koren, D. J. Seo, and M. Smith, 2004. A statistical-distributed modeling approach for flash flood prediction, 6.2, 18th Conference on Hydrology, AMS Annual Meeting, 2004.
  48. Chandra Kondragunta, NOAA/NWS, Silver Spring, MD; and D.-J. Seo, Toward Integration of Satellite Precipitation Estimates into the Multi-sensor Precipitation Estimator Algorithm, J1.7, 18th Conference on Hydrology, AMS Annual Meeting, 2004.
  49. Smith, M., V. Koren, Z. Zhang, S. Reed, D.-J. Seo, F. Moreda, V. Kuzmin, Z. Cui and R. Anderson, 2004. NOAA NWS Distributed Hydrologic Modeling Research and Development, NOAA Technical Report NWS 45, U.S. Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, Apr 2004.
  50. Carter, G., Seo, D.-J., D. Cline, R. Hartman, K. Mitchell and J. Zhou, 2004. The NWS Integrated Water Science Plan, NOAA/NWS, Silver Spring, MD, Nov 2004.
  51. Reed, S., V. Koren, M. Smith, Z. Zhang, F. Moreda, D.-J. Seo, and DMIP participants, 2004: Overall Distributed Model Intercomparison Project results. Journal of Hydrology (DMIP special issue), 298(1-4), 27-60.
  52. Smith, M. B., D.-J. Seo, V. I. Koren, S. Reed, Z. Zhang, Q.-Y. Duan, F. Moreda, and S. Cong, 2004: The Distributed Model Intercomparison Project (DMIP): Motivation and experimental design. Journal of Hydrology (DMIP special issue), 298(1-4), 4-26.
  53. Koren, V., S. Reed, M. Smith, Z. Zhang, and D.-J. Seo, 2004: Hydrology laboratory research modeling system (HL-RMS) of the US national weather service. Journal of Hydrology, 291(3-4), 297-318.
  54. Georgakakos, K., D.-J. Seo, H. Gupta, J. Schaake, and M. B. Butts, 2004: Towards the characterization of streamflow simulation uncertainty through multimodel ensembles. Journal of Hydrology (DMIP special issue), 298(1-4), 222-241.
  55. Seo, D.-J., V. Koren, and L. Cajina, 2003. Real-time assimilation of radar-based precipitation data and streamflow observations into a distributed hydrologic model. IAHS Publications Series (Red Books) 282, 109-113, 2003.
  56. Seo, D.-J., V. Koren, and N. Cajina, 2003: Real-time variational assimilation of hydrologic and hydrometeorological data into operational hydrologic forecasting. Journal of Hydrometeorology, 4, 627-641.
  57. Seo, D.-J., V. Koren, and S. Reed, 2003. Improving a priori estimates of hydraulic parameters in a distributed routing model via variational assimilation of long-term streamflow data. IAHS Publications Series (Red Books) 282, 138-142, 2003.
  58. Herr, H., E. Welles, M. Mullusky, L. Wu, J. Schaake, and D.-J. Seo, 2002. Probabilistic hydrologic forecasting: An ensemble approach, 2nd Federal Interagency Hydrologic Modeling Conference, Las Vegas, NV, Jul 2002.
  59. Reed, S., V. Koren, Z. Zhang, M. Smith and D.-J. Seo, 2002. Distributed modeling for improved NWS river forecasts, 2nd Federal Interagency Hydrologic Modeling Conference, Las Vegas, NV, Jul 2002.
  60. Breidenbach, J., D.-J. Seo, P. Tilles and M. Fortune, Multisensor precipitation estimation for use by the National Weather Service River Forecast Centers, 16th Conf on Hydrology, AMS, 2002.
  61. Fortune, M. A., J. P. Breidenbach, and D.-J. Seo, 2002. Integration of bias corrected, satellite-based estimates of precipitation into AWIPS at River Forecast Centers, 18th Conf on Interactive Information Processing Systems, AMS, Orlando, FL, Jan 2002.
  62. Istok, M., A. Stern, T. Ganger, D. Smalley, D.-J. Seo, and C. McAdie, 2002. Experiences using WSR-88D CODE as a developmental tool for radar algorithm development, 18th Conf on Interactive Information Processing Systems, AMS, Orlando, FL, Jan 2002. 
  63. Seo, D.-J., F. Ding and R. Fulton, 2002. Final Report Interagency Memorandum of Understanding Among the NEXRAD Program, The WSR-88D Radar Operations Center, and the NWS Office of Hydrologic Development, NWS/OHD/HL, Silver Spring, MD, Aug 2002. 
  64. Seo, D.-J. And J. P. Breidenbach, 2002. Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements, J. Hydrometeorol., 3, 93-111, 2002. 
  65. Breidenbach, J. P, M. A. Fortune, D. J. Seo, and P. Tilles, 2001. Multi-sensor Precipitation Estimation for use by River Forecast Centers During Heavy Rainfall Events, Precipitation Extremes: Prediction, Impacts, and Responses, P3.19, AMS Annual Meeting, 2001.
  66. Breidenbach, J. P, D. J. Seo, P. Tilles, and C. Pham, 2001.Seasonal Variation in Multi-Radar Coverage for WSR-88D Precipitation Estimation in a Mountainous Region, Precipitation Extremes: Prediction, Impacts, and Responses, P2.38, AMS Annual Meeting, 2001.
  67. Seo, D.-J., and J. P. Breidenbach, Real-time correction of spatially nonuniform bias in radar rainfall data using rain gauge measurements, 5th Int. Symp. on Hydrol. Appl. of Weather Radar, Kyoto, Japan, Nov 2001.
  68. Seo, D.-J., V. Koren, and N. Cajina, 2001. Variational assimilation of radar-derived rainfall estimates and streamflow observations for state updating in operational flood forecasting, 5th Int. Symp. on Hydrol. Appl. of Weather Radar, Kyoto, Japan, Nov 2001. 
  69. Perica, S., J. Schaake, M. Mullusky, and D.-J. Seo, Statistical analysis of global ensemble precipitation forecasts, Conf on Precipitation, AMS, 2001.
  70. Perica, S., J. Schaake, M. Mullusky, and D. J. Seo, Statistical Analysis of Global Ensemble Precipitation Forecasts, P1.27, Precipitation Extremes: Prediction, Impacts, and Responses, AMS Annual Meeting, 2001.
  71. Mullusky, M., J. Schaake, S. Perica, and D.-J. Seo, 2001. Accounting for uncertainty in short term deterministic precipitation forecasts, Conf on Precipitation, AMS, 2001.
  72. Fulton, R., D. Miller, J. Breidenbach, and D.-J. Seo, 2001. Final Report for Interagency Memorandum of Understanding Among the NEXRAD Program, The WSR-88D Radar Operations Center, and the NWS Office of Hydrologic Development, NWS/OHD/HL, Silver Spring, MD, Jul 2001. 
  73. Perica, S., J. C. Schaake, and D.-J. Seo, 2000. Hydrological application of global ensemble precipitation forecasts, 15th Conf on Hydrol, AMS, Long Beach, CA, Jan 2000. 
  74. Fulton, R. A., and D.-J. Seo, 2000. A prototype operational 0-1 hour radar-based flash flood potential algorithm, 15th Conf on Hydrol, AMS, Long Beach, CA, Jan 2000. 
  75. Seo, D.-J., J. P. Breidenbach, R. A. Fulton, D. Miller, B. Vignal, and W. F. Krajewski, 2000. Final Report for Interagency Memorandum of Understanding Among the NEXRAD Program, WSR-88D OSF, NWS/OH/HRL and Iowa Institute of Hydraulic Research, The University of Iowa, NWS/OH/HRL, Silver Spring, MD, Jun 2000.
  76. Seo, D.-J., J. P. Breidenbach, R. A .Fulton, D. A. Miller, and T. O’Bannon, Real-time adjustment of range-dependent biases in WSR-88D rainfall data due to nonuniform vertical profile of reflectivity, J. Hydrometeorol., 1(3), 222-240. 
  77. Seo, D.-J., S. Perica, E. Welles, and J. Schaake, 2000. Simulation precipitation fields from Probabilistic Quantitative Precipitation Forecast, J. Hydrol., 239, 203-229. 
  78. Seo, D.-J., S. Perica, J. C. Schaake, and E. Welles, 1999. An Ensemble Precipitation Processor (EPP) for generating precipitation ensemble for the next 24 hours, 14th Conf on Hydrol, AMS, Dallas, TX, Jan 1999. 
  79. Schaake, J. C., D.-J. Seo, and S. Perica, Parameter estimation for short-range ensemble precipitation generation, 14th Conf on Hydrol, AMS, Dallas, TX, Jan 1999. 
  80. Seo, D.-J., J. P. Breidenbach, and D. Miller, Real-time adjustment of mean field and range-dependent biases in WSR-88D rainfall estimation, 15th Conf on IIPS, AMS, Dallas, TX, Jan 1999. 
  81. Breidenbach, J. P., D.-J. Seo, P. Tilles, and K. Roy, 1999. Accounting for radar beam blockage patterns in radar-derived precipitation mosaics for River Forecast Centers, 15th Conf on IIPS, AMS, Dallas, TX, Jan 1999.
  82. Miller, D., J. P. Breidenbach, R. A. Fulton, and D.-J. Seo, 1999. Radar-based precipitation processing for NWS hydrologic forecast services, ASCE Conf, Tempe, AZ, June 1999.
  83. Krajewski, W. F., A. Kruger, D.-J. Seo, and J. P. Breidenbach, 1999. Development of a large radar database for hydrometeorological studies, 29th Int. Conf. On Radar Meteorol., Montreal, Quebec, July 12-16, 1999. 
  84. Perica, S., J. C. Schaake, and D.-J. Seo, 1999. National Weather Service River Forecast System (NWSRFS) operational procedure for using short and long range precipitation forecasts as input to Ensemble Streamflow Prediction (ESP), 14th Conf on Hydrology, AMS, Dallas, TX, Jan 1999.
  85. Perica, S., J. C. Schaake, and D.-J. Seo, 1999. Accounting for hydrologic model errors in Ensemble Streamflow Prediction, 14th Conf on Hydrology, AMS, Dallas, TX, Jan 1999. 
  86. Seo, D.-J., R. A. Fulton, and J. P. Breidenbach, 1999. Final Report for Interagency Memorandum of Understanding Among the NEXRAD Program, WSR-88D OSF, NWS/OH/HRL, NWS/OH/HRL, Silver Spring, MD, Jun 1999. 
  87. Koren, V. I., B. D. Finnerty, J. C. Schaake, M. B. Smith, D.-J. Seo, and Q.-Y. Duan, 1999. Scale dependencies of hydrologic models to spatial variability of precipitation, J. Hydrol., 217, 285-302.
  88. Seo, D.-J., J. P. Breidenbach, and E. R. Johnson, 1999. Real-time estimation of mean field bias in radar rainfall data, J. Hydrol., 233. 
  89. Seo, D.-J., R. A. Fulton, and J. P. Breidenbach, 1998. Rainfall estimation in the WSR-88D era for operational hydrologic forecasting in the National Weather Service, Special Symp on Hydrol, AMS, Phoenix, Jan 1998.
  90. Miller, D., D.-J. Seo, J. Breidenbach, and R. A. Fulton, 1998. Evolution of the NEXRAD Precipitation PPS) in the Open Systems Era, 14th Conf on IIPS, AMS, Phoenix, Jan 1998.
  91. Breidenbach, J. P., D.-J. Seo, and R. A. Fulton, 1998. Stage II and III post processing of the NEXRAD precipitation estimates in the modernized National Weather Service, 14th Conf on IIPS, AMS, Phoenix, Jan 1998.
  92. Seo, D.-J., and J. P. Breidenbach, 1998. Final Report for Interagency Memorandum of Understanding Among the NEXRAD Program, WSR-88D OSF, NWS/OH/HRL, NWS/OH/HRL, Silver Spring, MD, Jun 1998.
  93. Anagnostou, E. N., W. F. Krajewski, D.-J. Seo, and E. R. Johnson, 1998. Mean-field radar rainfall bias studies for NEXRAD, ASCE J. Hydrol. Eng., 3(3), 149-159.
  94. Fulton, R. A., J. P. Breidenbach, D-J. Seo, D. A. Miller, and T. O’Bannon,1998. The WSR-88D  rainfall algorithm, Weather and Forecasting, 13, 377-395.
  95. Seo, D.-J., 1998. Real-time estimation of rainfall fields using rain gage data under fractional coverage, J. Hydrol., 208, 25-36.
  96. Seo, D.-J., 1998. Real-time estimation of rainfall fields using radar rainfall and rain gage data, J. Hydrol., 208, 37-52.
  97. Green, J. L., J. C. Schaake, and D.-J. Seo, Strategies for comparing Eta model precipitation forecasts with Stage III NEXRAD precipitation estimates, Preprint Volume, 13th Conference on Hydrology, American Meteorological Society, Long Beach, CA, Feb 1997.
  98. Seo, D.-J., R. A. Fulton, and J. P. Breidenbach, Final Report for Interagency Memorandum of Understanding Among the NEXRAD Program, WSR-88D OSF, NWS/OH/HRL, NWS/OH/HRL, Silver Spring, MD, Jun 1997.
  99. Seo, D.-J. 1997: Precipitation and temperature ensemble forecasts from single-value forecasts, 4, Hydrology and Earth System Sciences, 655-717.
  100. Schaake J., J. Demargne, M. Mullusky, E. Welles, L. Wu, H. Herr, X. Fan, and D.-J. Seo, 1997: Precipitation and temperature ensemble forecasts from single-value forecasts, 4, Hydrology and Earth System Sciences, 655-717.
  101. Finnerty, B. D., M. B. Smith, D.-J. Seo, V. Koren, and G. Moglen, 1997. Space-time scale sensitivity of the Sacramento model to radar-gage precipitation inputs, J. Hydrol., 203.
  102. Seo, D.-J., R. A. Fulton, J. P. Breidenbach, M. Taylor, and D. Miller, 1996. Final Report for Interagency MOU Among the NEXRAD Program, WSR-88D OSF, NWS/OH/HRL, NWS/OH/HRL, Silver Spring, MD, 1996.
  103. Seo, D.-J., 1996. Nonlinear Estimation of Spatial Distribution of Rainfall - An Indicator Cokriging, Stoch. Hydrol. Hydraul., 10(2).
  104. Smith, J. A., D.-J. Seo, M. L. Baeck and M. D. Hudlow, 1996. An intercomparison study of NEXRAD Precipitation Estimates, Water Res. Resour., 32(7).
  105. Seo, D.-J. and J. A. Smith, Characterization of the Climatological Variability of Mean Areal Rainfall Through Fractional Coverage, Water Res. Resour., 32(7), 1996a.
  106. Seo, D.-J. and J. A. Smith, 1996. On the Relationship between Catchment Scale and Climatological Variability of Areal Runoff Volume, Water Res. Resour., 32(3), 1996.
  107. Seo, D.-J. and E. R. Johnson, 1995. The WSR-88D Precipitation Processing Subsystem - An Overview and a Performance Evaluation, Proceedings, III Int. Symp. on Hydrol. Appl. of Weather Radars, São Paulo, Brazil, Aug 1995.
  108. Fulton, R. A., D-J. Seo, J. P. Breidenbach and E. R. Johnson, 1995. Performance of the WSR-88D Radar-Raingage Rainfall Bias Adjustment Algorithm, Proceedings, III Int. Symp. on Hydrol. Appl. of Weather Radars, São Paulo, Brazil, Aug 1995.
  109. Seo, D.-J., R. A. Fulton, J. P. Breidenbach, D. E. Miller and E. P. Friend, 1995. Final Report for Interagency MOU Among the NEXRAD Program, WSR-88D OSF, NWS/OH/HRL, NWS/OH/HRL, Silver Spring, MD, Jan 1995.
  110. Seo, D.-J., K.-M. Chang, and M.-S. Seo, A Study on Real-Time Rainfall Estimation Using Data from Geostationary Meteorological Satellite and Weather Radar, Joint Res. Report, Systems Eng. Res. Inst., Korea Inst. of Sci. and Tech. and Water Resour. Res. Inst., Korea Water Resour. Corp., Mar 1993 (in Korean with English summary). [Non-refereed/non-juried]
  111. Seo, D.-J., 1992. Rainfall Estimation Using Radar Data and Rain Gage Measurements - An Indicator Approach, Proceedings, 6th IAHR Int. Symp. on Stochastic Hydraulics, Taipei, May 1992.
  112. Seo, D.-J., M.-S. Seo, and H.-O. Nam, Rainfall Estimation Using Rain Gages and Radar (I), Systems Eng. Res. Inst. Research Report to the Korea Ministry of Sci. and Tech., Feb 1992 (part Korean with English summary).
  113. Seo, D.-J., M.-S. Seo, C.-H. Park, K.-M. Chang, Y.-K. Yang, and K.-Y. Park, 1992. Integrated Precipitation Analysis System,  in Ch 4, Meteorol. Res. Inst. Res. Report to the Korea Ministry of Sci. and Tech., A Study on the Development of Very Short Range Precipitation Forecasting System Using Data from Satellite and Radar Observations (II), Sep 1992 (in Korean with English summary).
  114. Seo, D.-J. and J. A. Smith, Radar-Based Short-Term Rainfall Prediction, J. Hydrol., 131, 1992.
  115. Seo, D.-J., and J. A. Smith, Radar‑Based Short‑Term Rainfall Prediction, Proceedings, 8th Conf. on Hydrometeorol., Am. Meteorol. Soc., Oct 1991.
  116. Seo, D.-J., 1991. On state estimation using remotely sensed data and ground measurements – An overview of some useful tools, J. Korean Soc. Remote Sensing, 7(1), 45-67.
  117. Seo, D.-J. and J. A. Smith, 1991. Rainfall Estimation Using Rain Gages and Radar ‑ A Bayesian Approach 1. Derivation of Estimators, Stoch. Hydrol. Hydraul., 5(2).
  118. Seo, D.-J. and J. A. Smith, 1991. Rainfall Estimation Using Rain Gages and Radar ‑ A Bayesian Approach 2. An Application, Stoch. Hydrol. Hydraul., 5(2).
  119. Seo, D.-J., W. F. Krajewski and D. S. Bowles, 1990. Stochastic Interpolation of Co‑Kriging 1. Design of Experiments, Water Resour. Res., 26(3). 
  120. Seo, D.-J., W. F. Krajewski and D. S. Bowles, 1990. Stochastic Interpolation of Co‑Kriging 2. Results, Water Resour. Res., 26(5).
  121. Azim;Zonooz, A., W. F. Krajewski, D. S. Bowles and D.‑J. Seo, 1989. Spatial Rainfall Estimation by Linear and Non‑Linear Co‑Kriging of Radar‑Rainfall and Raingage Data, Stoch. Hydrol. Hydraul., 3.
  122. Bras, R. L. and D.J. Seo, 1987. Irrigation Control in the Presence of  Salinity ‑ Extended Linear Quadratic Approach, Water Resour. Res., 23(7).
  123. Seo, D.J. and R. L. Bras, 1986. Irrigation Control in the Presence of Salinity Extended Linear Quadratic Approach, MIT Parsons Lab. Tech. Report No. 310, Jan 1986.