Using Meteorology Probability Forecasts in Operational Hydrology

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9780784404591: Using Meteorology Probability Forecasts in Operational Hydrology
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This is the first book to simplify atmospheric predictions enabling laypersons to make their own derivative forecasts. Scientists and engineers can learn to predict weather-dependent phenomena to assess the risks associated with decisions in the construction and operation phases of water resource planning. This self-educating method simultaneously uses probabilistic meteorology forecasts over different time scales, time periods, spatial domains, probability statements, and meteorology variables. This is a practical, hands-on guide with comprehensive and straightforward theory, procedures, and examples for using short-term, seasonal, and interannual forecasts of meteorology probabilities, available from the National Oceanic and Atmospheric Administration, Environment Canada, and other agencies. The examples use different hydrology models; employ both user-defined and agency-produced meteorology probability forecasts in the United States and Canada; illustrate El Nino and La Nina conditional probabilities and examples of their derivation; and provide sufficient information for the reader's own applications. An extensive appendix describes the acquisition, installation, and use of freely available software to prepare historical files for individualized applications, to input forecast meteorology probabilities of a specific site, to extract reference quantile estimates, to prioritize forecasts, and to solve the resulting set of equations for derivative forecasts.

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Croley, Thomas
ISBN 10: 0784404593 ISBN 13: 9780784404591
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Descripción Estado de conservación: New. Depending on your location, this item may ship from the US or UK. Nº de ref. de la librería 97807844045910000000

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Thomas Croley
Editorial: American Society of Civil Engineers, United States (2000)
ISBN 10: 0784404593 ISBN 13: 9780784404591
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Descripción American Society of Civil Engineers, United States, 2000. Paperback. Estado de conservación: New. 226 x 150 mm. Language: English . Brand New Book. This is the first book to simplify atmospheric predictions enabling laypersons to make their own derivative forecasts. Scientists and engineers can learn to predict weather-dependent phenomena to assess the risks associated with decisions in the construction and operation phases of water resource planning. This self-educating method simultaneously uses probabilistic meteorology forecasts over different time scales, time periods, spatial domains, probability statements, and meteorology variables. This is a practical, hands-on guide with comprehensive and straightforward theory, procedures, and examples for using short-term, seasonal, and interannual forecasts of meteorology probabilities, available from the National Oceanic and Atmospheric Administration, Environment Canada, and other agencies. The examples use different hydrology models; employ both user-defined and agency-produced meteorology probability forecasts in the United States and Canada; illustrate El Nino and La Nina conditional probabilities and examples of their derivation; and provide sufficient information for the reader s own applications.An extensive appendix describes the acquisition, installation, and use of freely available software to prepare historical files for individualized applications, to input forecast meteorology probabilities of a specific site, to extract reference quantile estimates, to prioritize forecasts, and to solve the resulting set of equations for derivative forecasts. Nº de ref. de la librería AAN9780784404591

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Thomas Croley
Editorial: American Society of Civil Engineers, United States (2000)
ISBN 10: 0784404593 ISBN 13: 9780784404591
Nuevos Paperback Cantidad: 1
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The Book Depository US
(London, Reino Unido)
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Descripción American Society of Civil Engineers, United States, 2000. Paperback. Estado de conservación: New. 226 x 150 mm. Language: English . Brand New Book. This is the first book to simplify atmospheric predictions enabling laypersons to make their own derivative forecasts. Scientists and engineers can learn to predict weather-dependent phenomena to assess the risks associated with decisions in the construction and operation phases of water resource planning. This self-educating method simultaneously uses probabilistic meteorology forecasts over different time scales, time periods, spatial domains, probability statements, and meteorology variables. This is a practical, hands-on guide with comprehensive and straightforward theory, procedures, and examples for using short-term, seasonal, and interannual forecasts of meteorology probabilities, available from the National Oceanic and Atmospheric Administration, Environment Canada, and other agencies. The examples use different hydrology models; employ both user-defined and agency-produced meteorology probability forecasts in the United States and Canada; illustrate El Nino and La Nina conditional probabilities and examples of their derivation; and provide sufficient information for the reader s own applications.An extensive appendix describes the acquisition, installation, and use of freely available software to prepare historical files for individualized applications, to input forecast meteorology probabilities of a specific site, to extract reference quantile estimates, to prioritize forecasts, and to solve the resulting set of equations for derivative forecasts. Nº de ref. de la librería AAN9780784404591

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Thomas Croley
Editorial: American Society of Civil Engineers (2000)
ISBN 10: 0784404593 ISBN 13: 9780784404591
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Descripción American Society of Civil Engineers, 2000. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería CE-9780784404591

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Thomas Croley
Editorial: American Society of Civil Engineers
ISBN 10: 0784404593 ISBN 13: 9780784404591
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Descripción American Society of Civil Engineers. Paperback. Estado de conservación: new. BRAND NEW, Using Meteorology Probability Forecasts in Operational Hydrology, Thomas Croley, This is the first book to simplify atmospheric predictions enabling laypersons to make their own derivative forecasts. Scientists and engineers can learn to predict weather-dependent phenomena to assess the risks associated with decisions in the construction and operation phases of water resource planning. This self-educating method simultaneously uses probabilistic meteorology forecasts over different time scales, time periods, spatial domains, probability statements, and meteorology variables. This is a practical, hands-on guide with comprehensive and straightforward theory, procedures, and examples for using short-term, seasonal, and interannual forecasts of meteorology probabilities, available from the National Oceanic and Atmospheric Administration, Environment Canada, and other agencies. The examples use different hydrology models; employ both user-defined and agency-produced meteorology probability forecasts in the United States and Canada; illustrate El Nino and La Nina conditional probabilities and examples of their derivation; and provide sufficient information for the reader's own applications. An extensive appendix describes the acquisition, installation, and use of freely available software to prepare historical files for individualized applications, to input forecast meteorology probabilities of a specific site, to extract reference quantile estimates, to prioritize forecasts, and to solve the resulting set of equations for derivative forecasts. Nº de ref. de la librería B9780784404591

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Croley, Thomas E.
Editorial: Amer Society of Civil Engineers (2000)
ISBN 10: 0784404593 ISBN 13: 9780784404591
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Descripción Amer Society of Civil Engineers, 2000. Paperback. Estado de conservación: New. book. Nº de ref. de la librería 0784404593

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Thomas E. Croley
Editorial: Amer Society of Civil Engineers (2000)
ISBN 10: 0784404593 ISBN 13: 9780784404591
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Descripción Amer Society of Civil Engineers, 2000. Paperback. Estado de conservación: Brand New. 206 pages. 8.75x6.00x0.50 inches. In Stock. Nº de ref. de la librería __0784404593

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