Koray K. Yilmaz

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0022-1694/$ see front matter 2009 Elsevier B.V. A doi:10.1016/j.jhydrol.2009.08.003 * Corresponding author. Present address: IWHW, Un and Applied Life Sciences, Muthgasse 18, 1190 Vien 9712; fax: +1 520 621 1422. E-mail address: harald.kling@boku.ac.at (H. Kling) 1 Present addresses: Earth System Science Interdisc Maryland, College Park, MD 20742, USA; NASA(More)
The Coupled Routing and Excess STorage model (CREST, jointly developed by the University of Oklahoma and NASA SERVIR) is a distributed hydrological model developed to simulate the spatial and temporal variation of land surface, and subsurface water fluxes and storages by cell-to-cell simulation. CREST’s distinguishing characteristics include: (1)(More)
[1] Distributed hydrological models have the potential to provide improved streamflow forecasts along the entire channel network, while also simulating the spatial dynamics of evapotranspiration, soil moisture content, water quality, soil erosion, and land use change impacts. However, they are perceived as being difficult to parameterize and evaluate, thus(More)
Floods are among the most catastrophic natural disasters around the globe impacting human lives and infrastructure. Implementation of a flood prediction system can potentially help mitigate flood-induced hazards. Such a system typically requires implementation and calibration of a hydrologic model using in situ observations (i.e., rain and stream gauges).(More)
This study compares mean areal precipitation (MAP) estimates derived from three sources: an operational rain gauge network (MAPG), a radar/gauge multisensor product (MAPX), and the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) satellitebased system (MAPS) for the time period from March 2000 to November(More)
Floods are among the most catastrophic natural disasters around the globe impacting human lives and infrastructure. Implementation of a flood prediction system can potentially help mitigate flood-induced hazards. Such a system typically requires implementation and calibration of a hydrologic model using in situ observations (i.e., rain gauges and stream(More)
In this study, non-parametric constant false alarm rate (CFAR) radar processors are investigated. Performance analysis of the system, which uses generalized sign test in its detector, is done in homogeneous and non-homogeneous environments. Also the performance of the system is compared with the performance of the cell averaging constant false alarm rate(More)
  • Koray K. Yilmazab, Robert F. Adlerab, +7 authors HAROLD F. PIERCE‡j
  • 2010
Evaluation of a satellite-based global flood monitoring system Koray K. Yilmazab; Robert F. Adlerab; Yudong Tianbc; Yang Hongd; Harold F. Piercebe a Earth System Science Interdisciplinary Center, University of Maryland, College Park, MD, USA b NASA Goddard Space Flight Center, Greenbelt, MD, USA c Goddard Earth Sciences and Technology Center, University of(More)
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