Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Victor Koren"'
Autor:
Andrea Thorstensen, Victor Koren, Soroosh Sorooshian, Kuolin Hsu, Amir AghaKouchak, Brett F. Sanders, Phu Nguyen, Michael Smith, Zhengtao Cui
Publikováno v:
Journal of Hydrology. 541:401-420
Summary HiResFlood-UCI was developed by coupling the NWS’s hydrologic model (HL-RDHM) with the hydraulic model (BreZo) for flash flood modeling at decameter resolutions. The coupled model uses HL-RDHM as a rainfall-runoff generator and replaces the
Publikováno v:
Journal of Hydrology. 519:3475-3491
Summary This paper presents the first of two physically-based modifications to a widely-used and well-validated hydrologic precipitation–runoff model. Here, we modify the Sacramento Soil Moisture Accounting (SAC-SMA) model to include a physically-b
Autor:
Victor Koren, Michael Smith, Naoki Mizukami, Ziya Zhang, Brian Cosgrove, Zhengtao Cui, David E. Kingsmill
Publikováno v:
Journal of Hydrometeorology. 14:1139-1158
Hourly surface precipitation type (Ptype) grids (a total of 408 h from 1 December 2005 through April 20, 2006) were generated by mapping the elevation of the radar-detected brightband height (BBH) to terrain elevation during the 2005/06 observation p
Autor:
Eric A. Anderson, Ziya Zhang, Naoki Mizukami, Fekadu Moreda, Victor Koren, Seann Reed, Brian Cosgrove, Michael B. Smith, Yu Zhang, Zhengtao Cui
Publikováno v:
Journal of Hydrology. :3-16
Summary The Office of Hydrologic Development (OHD) of the National Oceanic and Atmospheric Administration’s (NOAA) National Weather Service (NWS) conducted the second phase of the Distributed Model Intercomparison Project (DMIP 2). After DMIP 1, th
Publikováno v:
Journal of Hydrology. :216-227
Summary Deriving a priori gridded parameters is an important step in the development and deployment of an operational distributed hydrologic model. Accurate a priori parameters can reduce the manual calibration effort and/or speed up the automatic ca
Autor:
Michael B. Smith, Victor Koren, Ziya Zhang, Yu Zhang, Seann M. Reed, Zhengtao Cui, Fekadu Moreda, Brian A. Cosgrove, Naoki Mizukami, Eric A. Anderson, Vazken Andreassian, Julien Lerat, Cecile Loumagne, Charles Perrin, Pierre Ribstein, Hoshin V. Gupta, Koray K. Yilmaz, Prafulla Pokhrel, Thorsten Wagener, Michael Butts, Keiko Yamagata, Soroosh Sorooshian, Behnaz Khakbaz, Alireza Behrangi, Kuolin Hsu, Bisher Imam, Florimond De Smedt, Ali Safari, Mohsen Tavakoli, Lan Li, Xin Wang, Jian Wu, Chao Yang, Mengfei Yang, Zhongbo Yu, Thian Gan, Zahidul Islam, Baxter Vieux, Jonathan Looper, Youlong Xia, Kenneth Mitchell, Michael Ek, Neil McIntyre, Barbara Orellana, Murugesu Sivapalan, Hongyi Li, Fuqiang Tian, Jae Ryu, Jeff Arnold, Gerald Whittaker, Remegio Confesor, Mauro Di Luzio
Publikováno v:
Journal of Hydrology. :17-48
Phase 2 of the Distributed Model Intercomparison Project (DMIP 2) was formulated primarily as a mechanism to help guide the US National Weather Service (NWS) as it expands its use of spatially distributed watershed models for operational river, flash
Publikováno v:
Advances in Water Resources. 34:1597-1615
We assess the potential of updating soil moisture states of a distributed hydrologic model by assimilating streamflow and in situ soil moisture data for high-resolution analysis and prediction of streamflow and soil moisture. The model used is the gr
Publikováno v:
Computers & Geosciences. 37:219-231
This paper presents an automated approach for processing the Soil Survey Geographic (SSURGO) Database and the National Land Cover Database (NLCD), and deriving gridded a priori parameters for the National Weather Service (NWS) Sacramento Soil Moistur
Publikováno v:
Rangeland Ecology & Management. 64:56-66
To estimate annual forage production from moisture conditions it is important to consider the timing and seasonality of precipitation events as well as the past history of storm events. In this study we examined this relationship using 16 yr of annua
Publikováno v:
Journal of Hydroinformatics. 13:181-197
Distributed hydrologic models provide accurate river streamflow forecasts and a multitude of spatially varied products on basin scales. The distributed elements of the basins are pieced together using drainage networks. An efficient representation of