Uncertainties in numerical weather prediction:
Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to...
Gespeichert in:
Weitere Verfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Amsterdam, Netherlands ; Oxford ; Cambridge, MA
Elsevier
[2021]
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Schlagworte: | |
Zusammenfassung: | Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts.- Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers- Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts- Includes references to climate prediction models to allow applications of these techniques for climate simulations |
Beschreibung: | xii, 351 Seiten Illustrationen, Diagramme |
ISBN: | 9780128154915 |
Internformat
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520 | |a Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts.- Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers- Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts- Includes references to climate prediction models to allow applications of these techniques for climate simulations | ||
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Datensatz im Suchindex
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adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Ólafsson, Haraldur Bao, Jian-Wen |
author2_role | edt edt |
author2_variant | h ó hó j w b jwb |
author_GND | (DE-588)1229483799 (DE-588)1229485082 |
author_facet | Ólafsson, Haraldur Bao, Jian-Wen |
building | Verbundindex |
bvnumber | BV046900138 |
classification_rvk | UT 6210 RT 10444 |
ctrlnum | (OCoLC)1226700081 (DE-599)BVBBV046900138 |
discipline | Physik Geographie |
discipline_str_mv | Physik Geographie |
format | Book |
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id | DE-604.BV046900138 |
illustrated | Illustrated |
index_date | 2024-07-03T15:24:05Z |
indexdate | 2024-07-10T08:56:57Z |
institution | BVB |
isbn | 9780128154915 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032309810 |
oclc_num | 1226700081 |
open_access_boolean | |
owner | DE-29T DE-703 DE-19 DE-BY-UBM |
owner_facet | DE-29T DE-703 DE-19 DE-BY-UBM |
physical | xii, 351 Seiten Illustrationen, Diagramme |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | Elsevier |
record_format | marc |
spelling | Uncertainties in numerical weather prediction edited by Haraldur Ólafsson, Jian-Wen Bao Amsterdam, Netherlands ; Oxford ; Cambridge, MA Elsevier [2021] xii, 351 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Uncertainties in Numerical Weather Prediction is a comprehensive work on the most current understandings of uncertainties and predictability in numerical simulations of the atmosphere. It provides general knowledge on all aspects of uncertainties in the weather prediction models in a single, easy to use reference. The book illustrates particular uncertainties in observations and data assimilation, as well as the errors associated with numerical integration methods. Stochastic methods in parameterization of subgrid processes are also assessed, as are uncertainties associated with surface-atmosphere exchange, orographic flows and processes in the atmospheric boundary layer. Through a better understanding of the uncertainties to watch for, readers will be able to produce more precise and accurate forecasts. This is an essential work for anyone who wants to improve the accuracy of weather and climate forecasting and interested parties developing tools to enhance the quality of such forecasts.- Provides a comprehensive overview of the state of numerical weather prediction at spatial scales, from hundreds of meters, to thousands of kilometers- Focuses on short-term 1-15 day atmospheric predictions, with some coverage appropriate for longer-term forecasts- Includes references to climate prediction models to allow applications of these techniques for climate simulations Messunsicherheit (DE-588)4210374-5 gnd rswk-swf Numerisches Verfahren (DE-588)4128130-5 gnd rswk-swf Wettervorhersage (DE-588)4079256-0 gnd rswk-swf Fehlerquelle (DE-588)4194427-6 gnd rswk-swf Wettervorhersage (DE-588)4079256-0 s Numerisches Verfahren (DE-588)4128130-5 s Messunsicherheit (DE-588)4210374-5 s Fehlerquelle (DE-588)4194427-6 s DE-604 Ólafsson, Haraldur (DE-588)1229483799 edt Bao, Jian-Wen (DE-588)1229485082 edt |
spellingShingle | Uncertainties in numerical weather prediction Messunsicherheit (DE-588)4210374-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd Wettervorhersage (DE-588)4079256-0 gnd Fehlerquelle (DE-588)4194427-6 gnd |
subject_GND | (DE-588)4210374-5 (DE-588)4128130-5 (DE-588)4079256-0 (DE-588)4194427-6 |
title | Uncertainties in numerical weather prediction |
title_auth | Uncertainties in numerical weather prediction |
title_exact_search | Uncertainties in numerical weather prediction |
title_exact_search_txtP | Uncertainties in numerical weather prediction |
title_full | Uncertainties in numerical weather prediction edited by Haraldur Ólafsson, Jian-Wen Bao |
title_fullStr | Uncertainties in numerical weather prediction edited by Haraldur Ólafsson, Jian-Wen Bao |
title_full_unstemmed | Uncertainties in numerical weather prediction edited by Haraldur Ólafsson, Jian-Wen Bao |
title_short | Uncertainties in numerical weather prediction |
title_sort | uncertainties in numerical weather prediction |
topic | Messunsicherheit (DE-588)4210374-5 gnd Numerisches Verfahren (DE-588)4128130-5 gnd Wettervorhersage (DE-588)4079256-0 gnd Fehlerquelle (DE-588)4194427-6 gnd |
topic_facet | Messunsicherheit Numerisches Verfahren Wettervorhersage Fehlerquelle |
work_keys_str_mv | AT olafssonharaldur uncertaintiesinnumericalweatherprediction AT baojianwen uncertaintiesinnumericalweatherprediction |