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pro vyhledávání: '"Roman Krzysztofowicz"'
Autor:
Roman Krzysztofowicz
Account for uncertainties and optimize decision-making with this thorough exposition Decision theory is a body of thought and research seeking to apply a mathematical-logical framework to assessing probability and optimizing decision-making. It has d
Autor:
Roman Krzysztofowicz, Henry D. Herr
Publikováno v:
Journal of Hydrology. 575:1328-1344
A typical deficiency of ensemble forecasts is the lack of calibration; e.g., ensemble members are under-dispersed and, consequently, probabilities estimated from them cannot be taken at their face values. Self-calibration is one of the unique theoret
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 31:915-933
To alert the public to the possibility of tornado (T), hail (H), or convective wind (C), the National Weather Service (NWS) issues watches (V) and warnings (W). There are severe thunderstorm watches (SV), tornado watches (TV), and particularly danger
Autor:
Roman Krzysztofowicz, Henry D. Herr
Publikováno v:
Journal of Hydrology. 524:789-802
Summary The ensemble Bayesian forecasting system (EBFS), whose theory was published in 2001, is developed for the purpose of quantifying the total uncertainty about a discrete-time, continuous-state, non-stationary stochastic process such as a time s
Autor:
Yan Luo, Dong Jun Seo, Roman Krzysztofowicz, Malaquias Peña, Bo Cui, Michael E. Charles, Dingchen Hou, Pingping Xie, Yuejian Zhu, Ying Lin, Zoltan Toth
Publikováno v:
Journal of Hydrometeorology. 15:2542-2557
Two widely used precipitation analyses are the Climate Prediction Center (CPC) unified global daily gauge analysis and Stage IV analysis based on quantitative precipitation estimate with multisensor observations. The former is based on gauge records
Autor:
Roman Krzysztofowicz
Publikováno v:
Journal of Hydrology. 517:643-651
Summary For quantification of predictive uncertainty at the forecast time t 0 , the future hydrograph is viewed as a discrete-time continuous-state stochastic process { H n : n = 1 , … , N } , where H n is the river stage at time instance t n > t 0
Autor:
Henry D. Herr, Roman Krzysztofowicz
Publikováno v:
Journal of Hydrology. 515:304-306
Summary Ensemble size requirements were analyzed using Bayesian ensemble forecasts ( Herr and Krzysztofowicz, 2010 ). These forecasts were generated using output from an analytic–numerical Bayesian forecasting system (BFS) within a Monte-Carlo algo
Autor:
Roman Krzysztofowicz
Publikováno v:
Hydrological Sciences Journal. 55:1033-1050
The novel research paradigm, dubbed the “court of miracles of hydrological modelling”, focuses on achieving scientific progress in circumstances which traditionally would be called model failures. Many of the associated modelling issues can be ad
Autor:
Henry D. Herr, Roman Krzysztofowicz
Publikováno v:
Journal of Hydrology. 387:151-164
Summary The problem is to provide a short-term, probabilistic forecast of a river stage time series { H 1 , … , H N } based on a probabilistic quantitative precipitation forecast. The Bayesian forecasting system (BFS) for this problem is implemente
Autor:
W. Britt Evans, Roman Krzysztofowicz
Publikováno v:
Monthly Weather Review. 136:4572-4592
A sequence of meteorological predictands of one kind (e.g., temperature) forms a discrete-time, continuous-state stochastic process, which typically is nonstationary and periodic (because of seasonality). Three contributions to the field of probabili