D
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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Improving Multisensor Precipitation Estimation via Adaptive Conditional Bias–Penalized Merging of Rain Gauge Data and Remotely Sensed Quantitative Precipitation Estimates
TL;DR: In this paper, adaptive conditional bias-penalized cokriging (CBPCK) was used for improved multisensor precipitation estimation using rain gauge data and remotely sensed quantitative preci...
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Simple and modular integrated modeling of storm drain network with gridded distributed hydrologic model via grid-rendering of storm drains for large urban areas
Hamideh Habibi,Dong Jun Seo +1 more
TL;DR: In this article, a modular storm drain model was proposed for real-time flash flood forecasting and stormwater planning and management in large urban areas using the equivalent storm drain network (ESDN) which approximates the actual network on the same grid as that of the distributed hydrologic model.
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Comparative Strengths of SCaMPR Satellite QPEs with and without TRMM Ingest versus Gridded Gauge-Only Analyses
Yu Zhang,Dong Jun Seo,David Kitzmiller,Haksu Lee,Robert J. Kuligowski,Dongsoo Kim,Chandra R. Kondragunta +6 more
TL;DR: In this paper, the accuracy of satellite quantitative precipitation estimates (QPEs) from two versions of the Self-Calibrating Multivariate Precipitation Retrieval (SCaMPR) algorithm relative to that of gridded gauge-only QPEs is assessed.
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Hydrologic applications of weather radar
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
Dong Jun Seo,Chandra R. Kondragunta,David Kitzmiller,Kenneth W. Howard,Jian Zhang,Steven V. Vasiloff +5 more
TL;DR: The National Mosaic and QPE (NMQ) project as discussed by the authors is a joint initiative between the NOAA/National Severe Storms Laboratory and the National Weather Service/Office of Hydrologic Development to address the pressing needs for highresolution multisensor QPE for all seasons, regions, and terrains in support of comprehensive hydrometeorological and hydrologic data assimilation and distributed hydrogrologic modeling.