Weather Radar Based Quantitative Precipitation Estimation in Modeling of Catchment Hydrology PDF Download

Author: Xin He
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Yang Hong
Publisher: CRC Press
ISBN: 1466514620
Category : Science
Languages : en
Pages : 176

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Book Description
Radar Hydrology: Principles, Models, and Applications provides graduate students, operational forecasters, and researchers with a theoretical framework and practical knowledge of radar precipitation estimation. The only text on the market solely devoted to radar hydrology, this comprehensive reference: Begins with a brief introduction to radar Focuses on the processing of radar data to arrive at accurate estimates of rainfall Addresses advanced radar sensing principles and applications Covers radar technologies for observing each component of the hydrologic cycle Examines state-of-the-art hydrologic models and their inputs, parameters, state variables, calibration procedures, and outputs Discusses contemporary approaches in data assimilation Concludes with methods, case studies, and prediction system design Includes downloadable MATLAB® content Flooding is the #1 weather-related natural disaster worldwide. Radar Hydrology: Principles, Models, and Applications aids in understanding the physical systems and detection tools, as well as designing prediction systems.

Author: Milan Sálek
Publisher:
ISBN: 9789289800044
Category :
Languages : en
Pages : 55

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Author: Jack L. McKee
Publisher:
ISBN:
Category :
Languages : en
Pages : 270

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Book Description
Hydrological models rely on accurate precipitation data in order to produce results with a high degree of confidence and serve as valuable flood forecasting and warning tools. Gauge-radar merging methods combine rainfall estimates from rain gauges and weather radar in order to capitalize on the strengths of the individual instruments and produce precipitation data with greater accuracy for input to hydrological models. A comprehensive review of gauge-radar merging methods reveals that there is an opportunity for near-real time application in hydrological models. The performance of four well known gauge-radar merging methods, including mean field bias correction, Brandes spatial adjustment, local bias correction using kriging and conditional merging, are examined using Environment Canada radar and the Upper Thames River basin in southwestern Ontario, Canada, as a case study. The analysis assesses the effect of gauge-radar merging methods on: 1) the accuracy of predicted rainfall accumulations; and 2) the accuracy of predicted stream flows using a semi-distributed hydrological model. In addition, several influencing factors (i.e., gauge density, storm type, basin type, proximity to the radar tower and time-step of adjustment) are analysed to determine their effect on the performance of the rainfall estimation techniques. Results indicate that gauge-radar merging methods can increase the accuracy of both rainfall accumulation estimations and predicted stream flows over the use of raw radar and rain gauges alone. Results from this study provide guidance for hydrologists and engineers assessing whether the addition of corrected radar products will improve rainfall estimation and hydrological modelling accuracy.

Author: Yasuto Tachikawa
Publisher:
ISBN: 9781901502374
Category : Hydrologic models
Languages : en
Pages : 340

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Author: William J. Charley
Publisher:
ISBN:
Category : Flood forecasting
Languages : en
Pages : 14

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Author:
Publisher:
ISBN:
Category : Flood forecasting
Languages : en
Pages : 222

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Author: Gbotemi Abraham Adediran
Publisher: Universal-Publishers
ISBN: 1612334350
Category :
Languages : en
Pages : 112

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The efficiency of a probabilistic hydrological forecasting system with weather radar and the Probability distributed hydrological model (PDM) was evaluated at the Brue catchment; south-western England. The ability of the radar to measure gauged precipitation in 2007 (regarded as the ground truth) was evaluated using Normalized Bias (NB) and Normalized Error (NE) statistics as the objective function of evaluation. The radar overestimated precipitation measurements by average gauges with NB value of 0.41 and a considerably low NE of 0.68. Furthermore, the effectiveness of a Deterministic nowcasting system (DNS) to forecast radar measured precipitation at 132 forecast time series of 6hrs forecast lead time was assessed. The DNS overestimated the radar measured precipitation with a NB value of 87% and recorded an accumulated NE of 146%. Moreover, the efficiencies of 10 ensemble precipitation forecats generated from a Stochastic nowcasting system (SNS) over the singular deterministic forecasts from the DNS was evaluated at 3 major hydrological events. Some of the ensembles significantly performed better than the deterministic forecast and brilliantly captured the radar measured precipitation at most of the forecast time series. Furthermore, the efficiencies of these sources of precipitation measurement to simulate flows with the PDM at the Brue catchment were also assessed by integrating the radar-based forecasts with measurements from average gauges. The PDM performed satisfactorily well in simulating the flows of 17th January 2007 with an average Nash–Sutcliffe Efficiency Index (NSE) of 0.65 and the model was judged insensitive to the significantly high precipitation inputs for the hydrological event of 27th of May 2007. However, the PDM performed poorly in simulating flows for the historical storms of 20th of July 2007; with the model under estimating flows with bias value of over 250 cumecs for an event popular for its devastating flooding in the Southwest of England. The model inadequacies was however associated to poor radar precipitation measurements and forecasts on which flow simulation was based. This work therefore emphasis the need for developments in hydrological modeling as well as advancement in weather radar technology to effectively correct radar errors due to radar calibration, signal attenuation, clutter and anomalous propagation, vertical variation of reflectivity, range effects, Z-R relationships, variations of drop size distributions, vertical air motions, beam overshooting the shallow precipitation and sampling issues, that has been identified to affect radar measurements.

Author: Peter Meischner
Publisher: Springer Science & Business Media
ISBN: 3662052024
Category : Science
Languages : en
Pages : 360

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Book Description
With their images practically ubiquitious in the daily media, weather radar systems provide data not only for understanding weather systems and improving forecasts (especially critical for severe weather), but also for hydrological applications, flood warnings and climate research in which ground verification is needed for global precipitation measurements by satellites. This book offers an accessible overview of advanced methods, applications and modern research from the European perspective. An extensive introductory chapter summarizes the principles of weather radars and discusses the potential of modern radar systems, including Doppler and polarisation techniques, data processing, and error-correction methods. Addressing both specialist researchers and nonspecialists from related areas, this book will also be useful for graduate students planning to specialize in this field

Author: Eugene L. Peck
Publisher:
ISBN:
Category : Hydrological forecasting
Languages : en
Pages : 92

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Book Description
The system (NWSRFS) of conceptual hydrologic models and other procedures, used in the operational river forecasting program of the United States National Weather Service, is briefly described. Complete information on the system as it existed in 1972 was published. However, since then the operational system has been expanded and revised frequently. Information on new procedures will be published in the technical literature. A major revision has been made in the soil moisture accounting for the catchment model. The components for soil moisture accounting of the Sacramento Model have replaced those of the modified Stanford Model as used in the original system. The conceptual features and characteristics of the Sacramento Model are discussed. The demonstration in the workshop of this symposium will be limited to the catchment model.