395 results on '"Seo, Dong-Jun"'
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2. Adaptive Conditional Bias-Penalized Kalman Filter for Improved Estimation of Extremes and its Approximation for Reduced Computation
3. A reinforced composite membrane of two-layered asymmetric structure with Nafion ionomer and polyethylene substrate for improving proton exchange membrane fuel cell performance
4. Adaptive conditional bias-penalized Kalman filter with minimization of degrees of freedom for noise for superior state estimation and prediction of extremes
5. Ionomer immobilized onto nitrogen-doped carbon black as efficient and durable electrode binder and electrolyte for polymer electrolyte fuel cells
6. Fuel cell performance improvement via the steric effect of a hydrocarbon-based binder for cathode in proton exchange membrane fuel cells
7. Multi-model streamflow prediction using conditional bias-penalized multiple linear regression
8. A Nonhomogeneous Regression-Based Statistical Postprocessing Scheme for Generating Probabilistic Quantitative Precipitation Forecast
9. Multiscale Postprocessor for Ensemble Streamflow Prediction for Short to Long Ranges
10. Improving Multisensor Precipitation Estimation via Adaptive Conditional Bias–Penalized Merging of Rain Gauge Data and Remotely Sensed Quantitative Precipitation Estimates
11. High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation
12. Analytical solution for nonlinear hydrologic routing with general power-law storage function
13. A novel hybrid artificial neural network - Parametric scheme for postprocessing medium-range precipitation forecasts
14. Evaluation and blending of ATMS and AMSR2 snow water equivalent retrievals over the conterminous United States
15. An ultralight-weight polymer electrolyte fuel cell based on woven carbon fiber-resin reinforced bipolar plate
16. Assimilation of Streamflow Observations
17. Improving flood forecasting using conditional bias-penalized ensemble Kalman filter
18. Simple and modular integrated modeling of storm drain network with gridded distributed hydrologic model via grid-rendering of storm drains for large urban areas
19. Adaptive conditional bias-penalized kriging for improved spatial estimation of extremes
20. Assessing the Skill of Medium-Range Ensemble Precipitation and Streamflow Forecasts from the Hydrologic Ensemble Forecast Service (HEFS) for the Upper Trinity River Basin in North Texas
21. Improving multisensor estimation of heavy-to-extreme precipitation via conditional bias-penalized optimal estimation
22. Toward parsimonious modeling of frequency of areal runoff from heavy-to-extreme precipitation in large urban areas under changing conditions: a derived moment approach
23. Antifungal activity and patterns of N-acetyl-chitooligosaccharide degradation via chitinase produced from Serratia marcescens PRNK-1
24. Comparative Presentation of Machine Learning Algorithms in Flood Prediction Using Spatio-Temporal Data
25. Recursive estimators of mean-areal and local bias in precipitation products that account for conditional bias
26. A weakly-constrained data assimilation approach to address rainfall-runoff model structural inadequacy in streamflow prediction
27. Hydrological Visualization and Analysis System
28. iSPUW: A Vision for Integrated Sensing and Prediction of Urban Water for Sustainable Cities
29. Conditional bias-penalized Kalman filter for improved estimation and prediction of extremes
30. Fast stack activation procedure and effective long-term storage for high-performance polymer electrolyte membrane fuel cell
31. The impacts of climatological adjustment of quantitative precipitation estimates on the accuracy of flash flood detection
32. Degradation of polymer electrolyte membrane fuel cell by siloxane in biogas
33. Toward high-resolution flash flood prediction in large urban areas – Analysis of sensitivity to spatiotemporal resolution of rainfall input and hydrologic modeling
34. Improving high-resolution quantitative precipitation estimation via fusion of multiple radar-based precipitation products
35. Assimilation of Streamflow Observations
36. Utilizing satellite precipitation estimates for streamflow forecasting via adjustment of mean field bias in precipitation data and assimilation of streamflow observations
37. Differences in scale-dependent, climatological variation of mean areal precipitation based on satellite and radar-gauge observations
38. Climatology-Calibrated Precipitation Analysis at Fine Scales : Statistical Adjustment of Stage IV toward CPC Gauge-Based Analysis
39. Assimilation of hydrologic and hydrometeorological data into distributed hydrologic model: Effect of adjusting mean field bias in radar-based precipitation estimates
40. Improving water quality forecasting via data assimilation – Application of maximum likelihood ensemble filter to HSPF
41. Comparative evaluation of maximum likelihood ensemble filter and ensemble Kalman filter for real-time assimilation of streamflow data into operational hydrologic models
42. Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 1. Experimental design and forcing verification
43. Verification of temperature, precipitation, and streamflow forecasts from the NOAA/NWS Hydrologic Ensemble Forecast Service (HEFS): 2. Streamflow verification
44. Improving real-time estimation of heavy-to-extreme precipitation using rain gauge data via conditional bias-penalized optimal estimation
45. An enhanced meteorological ensemble postprocessing scheme for improving the prediction of extreme rainfall events
46. Improving Probabilistic Quantitative Precipitation Forecasts Using Short Training Data through Artificial Neural Networks
47. Utility of SCaMPR Satellite versus Ground-Based Quantitative Precipitation Estimates in Operational Flood Forecasting : The Effects of TRMM Data Ingest
48. Correction to: Conditional bias-penalized Kalman filter for improved estimation and prediction of extremes
49. Antifungal Activity and Properties of Crude Enzymes Produced from Cellulomonas fimi JH-1
50. Geometric Analysis of Conditional Bias-Informed Kalman Filters
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