Numerical weather and climate prediction:
This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2011
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 Volltext |
Zusammenfassung: | This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xxii, 526 pages) |
ISBN: | 9780511763243 |
DOI: | 10.1017/CBO9780511763243 |
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245 | 1 | 0 | |a Numerical weather and climate prediction |c Thomas Tomkins Warner |
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505 | 8 | |a Machine generated contents note: Preface; List of acronyms; List of symbols; 1. Introduction; 2. The governing systems of equations; 3. Numerical solutions to the equations; 4. Physical-process parameterizations; 5. Modeling surface processes; 6. Model initialization; 7. Ensemble methods; 8. Predictability; 9. Verification methods; 10. Experimental design in model-based research; 11. Techniques for analyzing model output; 12. Operational numerical weather prediction; 13. Statistical post processing of model output; 14. Coupled special-applications models; 15. Computational fluid-dynamics models; 16. Climate modeling and downscaling; Appendix A. Suggested code structure and experiments for a simple shallow-fluid model; References; Index | |
520 | |a This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Warner, Thomas T. |
author_facet | Warner, Thomas T. |
author_role | aut |
author_sort | Warner, Thomas T. |
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building | Verbundindex |
bvnumber | BV043944039 |
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contents | Machine generated contents note: Preface; List of acronyms; List of symbols; 1. Introduction; 2. The governing systems of equations; 3. Numerical solutions to the equations; 4. Physical-process parameterizations; 5. Modeling surface processes; 6. Model initialization; 7. Ensemble methods; 8. Predictability; 9. Verification methods; 10. Experimental design in model-based research; 11. Techniques for analyzing model output; 12. Operational numerical weather prediction; 13. Statistical post processing of model output; 14. Coupled special-applications models; 15. Computational fluid-dynamics models; 16. Climate modeling and downscaling; Appendix A. Suggested code structure and experiments for a simple shallow-fluid model; References; Index |
ctrlnum | (ZDB-20-CBO)CR9780511763243 (OCoLC)839034645 (DE-599)BVBBV043944039 |
dewey-full | 551.63/4 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 551 - Geology, hydrology, meteorology |
dewey-raw | 551.63/4 |
dewey-search | 551.63/4 |
dewey-sort | 3551.63 14 |
dewey-tens | 550 - Earth sciences |
discipline | Geologie / Paläontologie Physik Geographie |
doi_str_mv | 10.1017/CBO9780511763243 |
format | Electronic eBook |
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id | DE-604.BV043944039 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:39:20Z |
institution | BVB |
isbn | 9780511763243 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029353010 |
oclc_num | 839034645 |
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publishDate | 2011 |
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publisher | Cambridge University Press |
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spelling | Warner, Thomas T. Verfasser aut Numerical weather and climate prediction Thomas Tomkins Warner Numerical Weather & Climate Prediction Cambridge Cambridge University Press 2011 1 online resource (xxii, 526 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Machine generated contents note: Preface; List of acronyms; List of symbols; 1. Introduction; 2. The governing systems of equations; 3. Numerical solutions to the equations; 4. Physical-process parameterizations; 5. Modeling surface processes; 6. Model initialization; 7. Ensemble methods; 8. Predictability; 9. Verification methods; 10. Experimental design in model-based research; 11. Techniques for analyzing model output; 12. Operational numerical weather prediction; 13. Statistical post processing of model output; 14. Coupled special-applications models; 15. Computational fluid-dynamics models; 16. Climate modeling and downscaling; Appendix A. Suggested code structure and experiments for a simple shallow-fluid model; References; Index This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and professionals. It teaches the strengths, weaknesses and best practices for the use of atmospheric models. It is ideal for the many scientists who use such models across a wide variety of applications. The book describes the different numerical methods, data assimilation, ensemble methods, predictability, land-surface modeling, climate modeling and downscaling, computational fluid-dynamics models, experimental designs in model-based research, verification methods, operational prediction, and special applications such as air-quality modeling and flood prediction. This volume will satisfy everyone who needs to know about atmospheric modeling for use in research or operations. It is ideal both as a textbook for a course on weather and climate prediction and as a reference text for researchers and professionals from a range of backgrounds: atmospheric science, meteorology, climatology, environmental science, geography, and geophysical fluid mechanics/dynamics Mathematisches Modell Numerical weather forecasting Weather forecasting / Mathematical models Climatology / Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Numerische Wettervorhersage (DE-588)4268740-8 gnd rswk-swf Klimatologie (DE-588)4031178-8 gnd rswk-swf Numerische Wettervorhersage (DE-588)4268740-8 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Klimatologie (DE-588)4031178-8 s 2\p DE-604 Erscheint auch als Druckausgabe 978-0-521-51389-0 https://doi.org/10.1017/CBO9780511763243 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Warner, Thomas T. Numerical weather and climate prediction Machine generated contents note: Preface; List of acronyms; List of symbols; 1. Introduction; 2. The governing systems of equations; 3. Numerical solutions to the equations; 4. Physical-process parameterizations; 5. Modeling surface processes; 6. Model initialization; 7. Ensemble methods; 8. Predictability; 9. Verification methods; 10. Experimental design in model-based research; 11. Techniques for analyzing model output; 12. Operational numerical weather prediction; 13. Statistical post processing of model output; 14. Coupled special-applications models; 15. Computational fluid-dynamics models; 16. Climate modeling and downscaling; Appendix A. Suggested code structure and experiments for a simple shallow-fluid model; References; Index Mathematisches Modell Numerical weather forecasting Weather forecasting / Mathematical models Climatology / Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Numerische Wettervorhersage (DE-588)4268740-8 gnd Klimatologie (DE-588)4031178-8 gnd |
subject_GND | (DE-588)4114528-8 (DE-588)4268740-8 (DE-588)4031178-8 |
title | Numerical weather and climate prediction |
title_alt | Numerical Weather & Climate Prediction |
title_auth | Numerical weather and climate prediction |
title_exact_search | Numerical weather and climate prediction |
title_full | Numerical weather and climate prediction Thomas Tomkins Warner |
title_fullStr | Numerical weather and climate prediction Thomas Tomkins Warner |
title_full_unstemmed | Numerical weather and climate prediction Thomas Tomkins Warner |
title_short | Numerical weather and climate prediction |
title_sort | numerical weather and climate prediction |
topic | Mathematisches Modell Numerical weather forecasting Weather forecasting / Mathematical models Climatology / Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Numerische Wettervorhersage (DE-588)4268740-8 gnd Klimatologie (DE-588)4031178-8 gnd |
topic_facet | Mathematisches Modell Numerical weather forecasting Weather forecasting / Mathematical models Climatology / Mathematical models Numerische Wettervorhersage Klimatologie |
url | https://doi.org/10.1017/CBO9780511763243 |
work_keys_str_mv | AT warnerthomast numericalweatherandclimateprediction AT warnerthomast numericalweatherclimateprediction |