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Dong Jun Seo
Researcher at University of Texas at Arlington
Publications - 140
Citations - 8790
Dong Jun Seo is an academic researcher from University of Texas at Arlington. The author has contributed to research in topics: Hydrological modelling & Quantitative precipitation estimation. The author has an hindex of 42, co-authored 138 publications receiving 8067 citations. Previous affiliations of Dong Jun Seo include National Oceanic and Atmospheric Administration & Silver Spring Networks.
Papers
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Verification of Precipitation Forecasts from NCEP’s Short-Range Ensemble Forecast (SREF) System with Reference to Ensemble Streamflow Prediction Using Lumped Hydrologic Models
TL;DR: In this article, the Short-Range Ensemble Forecast (Sthis article) system of the National Centers for Environmental Prediction (NCEP) is verified for the period April 2006-August 2010.
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Independent Assessment of Incremental Complexity in NWS Multisensor Precipitation Estimator Algorithms
TL;DR: A comprehensive intercomparison analysis of different radar-based multisensor precipitation products generated operationally by the National Weather Service (NWS) Multisensor Precipitation Estimator (MPE) algorithm from the Weather Surveillance Radar–1988 Doppler version and concurrent rain gauge data provides close insight into different effects of the increasing degree of complexitzy in the MPE algorithms.
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Irrigation control in the presence of salinity: Extended linear quadratic approach
Rafael L. Bras,Dong Jun Seo +1 more
TL;DR: In this article, an extended linear quadratic (ELQ) control is used to solve an intraseasonal irrigation scheduling problem with probabilistic state constraints, which impose desired salinity and moisture levels with desired confidence level.
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Conditional bias-penalized kriging (CBPK)
TL;DR: Conditional bias-penalized kriging (CBPK) as discussed by the authors minimizes conditional bias in addition to unconditional error variance, which is a simple extension to SK and OK.
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Characterization of the climatological variability of mean areal rainfall through fractional coverage
Dong Jun Seo,James A Smith +1 more
TL;DR: In this article, the role of fractional coverage in climatological variability of mean areal rainfall is investigated, as measured by its coefficient of variation, under second-order homogeneity assumptions.