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Author: Jack L. McKee Publisher: ISBN: Category : Languages : en Pages : 270
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: Jack L. McKee Publisher: ISBN: Category : Languages : en Pages : 270
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: Qiuhong Tang Publisher: MDPI ISBN: 3039288075 Category : Science Languages : en Pages : 260
Book Description
This book provides a practical introduction to remote sensing applications for detecting changes in the terrestrial water cycle and understanding the causes and consequences of these changes. Covering a wide range of innovative remote sensing approaches for hydrological study, this book contributes significantly to the knowledge base of hydrology in the Anthropocene, i.e., global change hydrology. It is an excellent reference for students and professionals in the fields of hydrology, climate change, and geography.
Author: Yang Hong Publisher: CRC Press ISBN: 1466514620 Category : Science Languages : en Pages : 176
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: David Atlas Publisher: Springer ISBN: 193570415X Category : Science Languages : en Pages : 817
Book Description
This fully illustrated volume covers the history of radar meteorology, deals with the issues in the field from both the operational and the scientific viewpoint, and looks ahead to future issues and how they will affect the current atmosphere. With over 200 contributors, the volume is a product of the entire community and represents an unprecedented compendium of knowledge in the field.
Author: Silas C. Michaelides Publisher: Springer Science & Business Media ISBN: 3540776559 Category : Science Languages : en Pages : 552
Book Description
This volume is the outcome of contributions from 51 scientists who were invited to expose their latest findings on precipitation research and in particular, on the measurement, estimation and prediction of precipitation. The reader is presented with a blend of theoretical, mathematical and technical treatise of precipitation science but also with authentic applications, ranging from local field experiments and country-scale campaigns to multinational space endeavors.
Author: V. N. Bringi Publisher: Cambridge University Press ISBN: 9780521623841 Category : Science Languages : en Pages : 666
Book Description
This 2001 book provides a detailed introduction to the principles of Doppler and polarimetric radar, focusing in particular on their use in the analysis of weather systems. The design features and operation of practical radar systems are highlighted throughout the book in order to illustrate important theoretical foundations. The authors begin by discussing background topics such as electromagnetic scattering, polarization, and wave propagation. They then deal in detail with the engineering aspects of pulsed Doppler polarimetric radar, including the relevant signal theory, spectral estimation techniques, and noise considerations. They close by examining a range of key applications in meteorology and remote sensing. The book will be of great use to graduate students of electrical engineering and atmospheric science as well as to practitioners involved in the applications of polarimetric radar systems.
Author: Jack L. McKee
Author: Jack L. McKee
Author: Qiuhong Tang
Author: Yang Hong
Author: Erma Yulihastin
Author: David Atlas
Author: Alain Tommy Foehn
Author: Silas C. Michaelides
Author: V. N. Bringi
Author: Uwe Ehret
Author: Milan Sálek