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  • 1
    UID:
    edoccha_BV046633932
    Format: 1 Online-Ressource : , Illustrationen.
    Edition: Living reference work, continuously updated edition
    ISBN: 978-3-642-40457-3
    Language: English
    Subjects: Physics
    RVK:
    RVK:
    Keywords: Numerische Wettervorhersage ; Hydrometeorologie
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  • 2
    UID:
    almafu_BV046633932
    Format: 1 Online-Ressource : , Illustrationen.
    Edition: Living reference work, continuously updated edition
    ISBN: 978-3-642-40457-3
    Series Statement: Springer reference
    Language: English
    Subjects: Physics
    RVK:
    RVK:
    Keywords: Numerische Wettervorhersage ; Hydrometeorologie ; Aufsatzsammlung ; Aufsatzsammlung
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 3
    Online Resource
    Online Resource
    Washington, D.C. :American Geophysical Union,
    UID:
    almafu_9959328219002883
    Format: 1 online resource (vi, 345 pages) : , illustrations (some color), maps
    ISBN: 9781118665671 , 1118665678
    Series Statement: Water science and application ; 6
    Content: This volume presents a state-of-the-art analysis of mathematical methods used in the identification of models for hydrologic forecasting, design, and water resources management.
    Note: "Published under the aegis of AGU Books Board"--Title page verso. , "Derives from a special session, "Advances in Calibration of Watershed Models", held at the 2000 Fall meeting of the American Geophysical Union (AGU) in San Francisco, Calif."--Preface. , Preface / Qingyun Duan [and others] -- Introduction / John C. Schaake -- Advances in automatic calibration of watershed models / Hoshin V. Gupta [and others] -- Identification and evaluation of watershed models / Thorsten Wagener, Howard S. Wheater, and Hoshin V. Gupta -- Confronting input uncertainty in environmental modelling / Dmitri Kavetski, Stewart W. Franks, and George Kuczera -- Multivariate seasonal period model rejection within the generalised likelihood uncertainty estimation procedure / Jim Freer, Keith Beven, and Norman Peters -- Global optimization for watershed model calibration / Qingyun Duan -- A shuffled complex evolution metropolis algorithm for estimating the posterior distribution of watershed model parameters / Jasper A. Vrugt . [and others] -- Bayesian recursive estimation of parameter and output uncertainty for watershed models / Feyzan Misirli [and others] -- Multiple criteria global optimization for watershed model calibration / Hoshin V. Gupta [and others] -- Hydrologic model calibration in the National Weather Service / Michael B. Smith [and others] -- A process-oriented, multiple-objective calibration strategy accounting for model structure / Richard Turcotte [and others] -- A multi-step automatic calibration scheme for watershed models / Terri S. Hogue [and others] -- Hydrologic-hydraulic calibration and testing in an impacted flood plain : forensic hydrology / Hugo A. Loaiciga -- Multicriteria calibration of hydrological models / Douglas P. Boyle, Hoshin V. Gupta, and Soroosh Sorooshian -- Multi-resolution calibration methodology for hydrologic models : application to a sub-humid catchment / Laura M. Parada, Jonathan P. Fram, and Xu Liang -- Estimating parameters and structure of a hydrochemical model using multiple criteria / Thomas Meixner [and others] -- Parameter, structure, and model performance evaluation for land-surface schemes / Luis A. Bastidas [and others] -- Use of a priori parameter estimates in the derivation of spatially consistent parameter sets of rainfall-runoff models / Victor Koren, Michael Smith, and Qingyun Duan -- Use of a priori parameter-estimation methods to constrain calibration of distributed-parameter models / George H. Leavesley [and others] -- Ordered physics-based parameter adjustment of a distributed model / Baxter E. Vieux and Fekadu G. Moreda -- Process representation, measurements, data quality, and criteria for parameter estimation of watershed models / Stephen J. Burges -- The quest for an improved dialog between modeler and experimentalist / Jan Seibert and Jeffrey J. McDonnell -- Effects of model complexity and structure, parameter interactions and data on watershed modeling / Thian Yew Gan and Getu Fana Biftu -- Parameter sensitivity in calibration and validation of an annualized agricultural non-point source model / Barbara Baginska and William A. Milne-Home.
    Additional Edition: Print version: Calibration of watershed models. Washington, D.C. : American Geophysical Union, ©2003 ISBN 087590355X
    Language: English
    Keywords: Electronic books. ; Aufsatzsammlung. ; Electronic books. ; Aufsatzsammlung. ; Electronic books. ; Aufsatzsammlung.
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  • 4
    UID:
    edocfu_BV046633932
    Format: 1 Online-Ressource : , Illustrationen.
    Edition: Living reference work, continuously updated edition
    ISBN: 978-3-642-40457-3
    Language: English
    Subjects: Physics
    RVK:
    RVK:
    Keywords: Numerische Wettervorhersage ; Hydrometeorologie
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    Book
    Book
    Washington, DC : American Geophysical Union
    UID:
    b3kat_BV035149542
    Format: VI, 345 S. , Ill., graph. Darst. , Kt.
    ISBN: 087590355X
    Series Statement: Water science and application 6
    Note: "Published under the aegis of AGU Books Board"--T.p. verso. -- "Derives from a special session, "Advances in Calibration of Watershed Models", held at the 2000 Fall meeting of the American Geophysical Union (AGU) in San Francisco, Calif."--Preface.- Includes bibliographical references
    Language: English
    Keywords: Einzugsgebiet ; Mathematisches Modell ; Einzugsgebiet ; Bewirtschaftung ; Hydrologie ; Aufsatzsammlung
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  • 6
    UID:
    almahu_BV045448487
    Format: 1 Online-Ressource (xxxvi, 1528 Seiten) : , Illustrationen, Diagramme, Karten (überwiegend farbig).
    ISBN: 978-3-642-39925-1
    Series Statement: Springer reference
    Note: Online-Ressource einer mehrteiligen Monografie, die Print-Ausgabe ist in 2 Bänden erschienen
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-642-39924-4
    Language: English
    Subjects: Physics
    RVK:
    Keywords: Numerische Wettervorhersage ; Hydrometeorologie
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (URL des Erstveröffentlichers)
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  • 7
    UID:
    almahu_9948126390902882
    Format: 1200 p. 200 illus., 100 illus. in color. , online resource.
    ISBN: 9783642404573
    Content: Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorological elements -- including precipitation, temperature, humidity, soil moisture, river discharge, groundwater, etc.-- at different space and time scales. Such forecasts form an important scientific basis for informing public of natural hazards such as cyclones, heat waves, frosts, droughts and floods. Traditionally, and at most currently operational centers, hydrometeorological forecasts are deterministic, “single-valued” outlooks: i.e., the weather and hydrological models provide a single best guess of the magnitude and timing of the impending events. These forecasts suffer the obvious drawback of lacking uncertainty information that would help decision-makers assess the risks of forecast use. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational collection of hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are a multiple forecasts of the same events. The ensemble forecasts are generated by perturbing uncertain factors such as model forcings, initial conditions, and/or model physics. Ensemble techniques are attractive because they not only offer an estimate of the most probable future state of the hydrometeorological system, but also quantify the predictive uncertainty of a catastrophic hydrometeorological event occurring. The Hydrological Ensemble Prediction Experiment (HEPEX), initiated in 2004, has signaled a new era of collaboration toward the development of hydrometeorological ensemble forecasts. By bringing meteorologists, hydrologists and hydrometeorological forecast users together, HEPEX aims to improve operational hydrometeorological forecast approaches to a standard that can be used with confidence by emergencies and water resources managers. HEPEX advocates a hydrometeorological ensemble prediction system (HEPS) framework that consists of several basic building blocks. These components include:(a) an approach (typically statistical) for addressing uncertainty in meteorological inputs and generating statistically consistent space/time meteorological inputs for hydrological applications; (b) a land data assimilation approach for leveraging observation to reduce uncertainties in the initial and boundary conditions of the hydrological system; (c) approaches that address uncertainty in model parameters (also called ‘calibration’); (d) a hydrologic model or other approach for converting meteorological inputs into hydrological outputs; and finally (e) approaches for characterizing hydrological model output uncertainty. Also integral to HEPS is a verification system that can be used to evaluate the performance of all of its components. HEPS frameworks are being increasingly adopted by operational hydrometeorological agencies around the world to support risk management related to flash flooding, river and coastal flooding, drought, and water management. Real benefits of ensemble forecasts have been demonstrated in water emergence management decision making, optimization of reservoir operation, and other applications.
    Note: Introduction -- Generation and calibration of meteorological ensemble forecast -- Hydrometeorological observations and data assimilation techniques -- Model parametric uncertainty analysis techniques -- Hydrological models for converting meteorological inputs into hydrological outputs -- Post-processing of hydrological model outputs and generation of ensemble hydrological forecast products -- Verification systems -- Communication and Decision making -- Application showcases -- Mathematical basics and statistical methods. Please find the attachment for more details.
    In: Springer Nature Living Reference
    Language: English
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  • 8
    Book
    Book
    Berlin : Springer ; (2019)Vol. 1 - 2
    Show associated volumes
    UID:
    kobvindex_ZLB34240378
    Format: 2 Bände , 25 cm
    ISBN: 9783642399244 , 364239924X
    Note: Erscheint auch als Online-Ausgabe 9783642399268 (ISBN) , Erscheint auch als Online-Ausgabe 9783642399251 (ISBN)
    Language: English
    Keywords: Hydrometeorologie ; Numerische Wettervorhersage
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  • 9
    UID:
    almafu_9959027261302883
    Format: 1 online resource (439 illus., 345 illus. in color. eReference.)
    Edition: 1st ed. 2019.
    ISBN: 3-642-39925-8
    Series Statement: Springer Reference
    Content: Hydrometeorological prediction involves the forecasting of the state and variation of hydrometeorological elements -- including precipitation, temperature, humidity, soil moisture, river discharge, groundwater, etc. at different space and time scales. Such forecasts form an important scientific basis for informing public of natural hazards such as cyclones, heat waves, frosts, droughts and floods. Traditionally, and at most operational centers, hydrometeorological forecasts are deterministic, “single-valued” outlooks: i.e., the weather and hydrological models provide a single best guess of the magnitude and timing of the impending events. These forecasts suffer the obvious drawback of lacking uncertainty information that would help decision-makers make risk-based decisions. Recently, hydrometeorological ensemble forecast approaches have begun to be developed and used by operational hydrometeorological services. In contrast to deterministic forecasts, ensemble forecasts are multiple forecasts of the same events. The ensemble forecasts are generated by perturbing uncertain factors such as model forcings, initial conditions, and/or model physics. Ensemble techniques are attractive because they not only offer an estimate of the most probable future state of the hydrometeorological system, but also quantify the predictive uncertainty of a catastrophic hydrometeorological event occurring. “Handbook of Hydrometeorological Ensemble Forecasting” is mainly contributed by the group of experts from HEPEX as a central reference work from this field. The Hydrological Ensemble Prediction Experiment (HEPEX), initiated in 2004, has signaled a new era of collaboration toward the development of hydrometeorological ensemble forecasts. By bringing meteorologists, hydrologists and hydrometeorological forecast users together, HEPEX aims to improve operational hydrometeorological forecasts that can be used with confidence by emergencies and water resources managers. HEPEX advocates a hydrometeorological ensemble prediction system (HEPS) framework that consists of several basic building blocks. These components include:(a) an approach (typically statistical) for addressing uncertainty in meteorological inputs and generating statistically consistent space/time meteorological inputs for hydrological applications; (b) a land data assimilation approach for leveraging observation to reduce uncertainties in the initial and boundary conditions of the hydrological system; (c) approaches that address uncertainty in model parameters (also called ‘calibration’); (d) a hydrologic model or other approach for converting meteorological inputs into hydrological outputs; and finally (e) approaches for characterizing hydrological model output uncertainty. Also integral to HEPS is a verification system that can be used to evaluate the performance of all of its components. HEPS frameworks are being increasingly adopted by operational hydrometeorological agencies around the world to support risk management related to flash flooding, river and coastal flooding, drought, and water management. Real benefits of ensemble forecasts have been demonstrated in water emergence management decision making, optimization of reservoir operation, and other applications. This book not only covers the theoretical and methodological aspects involved in hydrometeorological ensemble forecasting, but also presents a large number of successful application showcases. It should serves as an excellent reference book for researchers and practitioners in hydrometeorological forecasting.
    Note: Introduction -- Overview of Meteorological Ensemble Forecasting -- Post-processing of Meteorological Ensemble Forecasting for Hydrological Applications -- Hydrological Models -- Model Parameter Estimation and Uncertainty Analysis -- Observation and data assimilation -- Post-processing of Hydrological Ensemble Forecasts -- Verification of Hydrometeorological Ensemble Forecasts -- Communication and Use of Ensemble Forecasts for Decision Making -- Ensemble Forecast Application Showcases -- Mathematical and Statistical Fundamentals for Hydrometeorological Ensemble Forecasting.
    Additional Edition: ISBN 3-642-39926-6
    Additional Edition: ISBN 3-642-39924-X
    Language: English
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  • 10
    UID:
    gbv_1822249465
    Format: 7 Illustrationen
    ISBN: 364232617X
    In: Cartography from pole to pole, Berlin : Springer, 2014, (2014), Seite 139-153, 364232617X
    In: 9783642326172
    In: year:2014
    In: pages:139-153
    Language: English
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