A vast machine : computer models, climate data, and the politics of global warming
Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, "sound science." In A Vast Machine Paul Edwards has news for these doubters: without models...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Edwards, Paul N. [verfasserIn] |
|---|
| Format: |
E-Book |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
Cambridge, Massachusetts: MIT Press ; c2010 |
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| Schlagwörter: |
Klima / Klimaänderung / Erwärmung, Meteorologie / Computersimulation |
|---|---|
| Schlagwörter: |
| Anmerkung: |
Academic Complete Subscription 2011-2012. - ""Multi-User"". - Includes bibliographical references (p. [441]-507) and index. - Description based on PDF viewed 12/23/2015 |
|---|---|
| Umfang: |
1 PDF (xxvii, 518 pages) ; illustrations, maps. |
| Beschreibung: |
Mode of access: World Wide Web. |
| Links: | |
|---|---|
| ISBN: |
978-0-262-29410-2 |
| Katalog-ID: |
1727349091 |
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9780262294102 electronic 978-0-262-29410-2 (DE-627)1727349091 (DE-599)KEP05512044X (OCoLC)846468758 (MITPRESS)6267526 (EBP)05512044X DE-627 ger DE-627 rda eng 551.63 22 Edwards, Paul N. verfasserin aut A vast machine computer models, climate data, and the politics of global warming Paul N. Edwards Cambridge, Massachusetts MIT Press c2010 1 PDF (xxvii, 518 pages) illustrations, maps. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Academic Complete Subscription 2011-2012. - ""Multi-User"". - Includes bibliographical references (p. [441]-507) and index. - Description based on PDF viewed 12/23/2015 Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, "sound science." In A Vast Machine Paul Edwards has news for these doubters: without models, there are no data. Today, no collection of signals or observations--even from satellites, which can "see" the whole planet with a single instrument--becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere--to measure it, trace its past, and model its future. Edwards argues that all our knowledge about climate change comes from three kinds of computer models: simulation models of weather and climate; reanalysis models, which recreate climate history from historical weather data; and data models, used to combine and adjust measurements from many different sources. Meteorology creates knowledge through an infrastructure (weather stations and other data platforms) that covers the whole world, making global data. This infrastructure generates information so vast in quantity and so diverse in quality and form that it can be understood only by computer analysis--making data global. Edwards describes the science behind the scientific consensus on climate change, arguing that over the years data and models have converged to create a stable, reliable, and trustworthy basis for the reality of global warming. Mode of access: World Wide Web. Weather forecasting Climatology ; History Meteorology ; History Climatology ; Technological innovations Global temperature changes s (DE-588)4031170-3 (DE-627)106266977 (DE-576)208990925 Klima gnd s (DE-588)4164199-1 (DE-627)104288116 (DE-576)209886927 Klimaänderung gnd s (DE-588)4344515-9 (DE-627)155480960 (DE-576)211458287 Erwärmung Meteorologie gnd s (DE-588)4148259-1 (DE-627)105570354 (DE-576)209763132 Computersimulation gnd (DE-627) 9780262518635 9780262013925 Erscheint auch als Druck-Ausgabe 9780262518635 https://ieeexplore.ieee.org/book/6267526 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 BO 045F 551.63 22 01 0018 3848475170 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3957240670 olr-MIT i z 23-07-21 100 01 3100 447246778X 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011222097 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3740750472 00 --%%-- --%%-- p --%%-- Campuslizenz l01 18-08-20 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/6267526 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/6267526 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/6267526 100 01 3100 https://ieeexplore.ieee.org/book/6267526 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/6267526 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/6267526 2015 01 DE-93 https://ieeexplore.ieee.org/book/6267526 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01 |
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9780262294102 electronic 978-0-262-29410-2 (DE-627)1727349091 (DE-599)KEP05512044X (OCoLC)846468758 (MITPRESS)6267526 (EBP)05512044X DE-627 ger DE-627 rda eng 551.63 22 Edwards, Paul N. verfasserin aut A vast machine computer models, climate data, and the politics of global warming Paul N. Edwards Cambridge, Massachusetts MIT Press c2010 1 PDF (xxvii, 518 pages) illustrations, maps. Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Academic Complete Subscription 2011-2012. - ""Multi-User"". - Includes bibliographical references (p. [441]-507) and index. - Description based on PDF viewed 12/23/2015 Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, "sound science." In A Vast Machine Paul Edwards has news for these doubters: without models, there are no data. Today, no collection of signals or observations--even from satellites, which can "see" the whole planet with a single instrument--becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere--to measure it, trace its past, and model its future. Edwards argues that all our knowledge about climate change comes from three kinds of computer models: simulation models of weather and climate; reanalysis models, which recreate climate history from historical weather data; and data models, used to combine and adjust measurements from many different sources. Meteorology creates knowledge through an infrastructure (weather stations and other data platforms) that covers the whole world, making global data. This infrastructure generates information so vast in quantity and so diverse in quality and form that it can be understood only by computer analysis--making data global. Edwards describes the science behind the scientific consensus on climate change, arguing that over the years data and models have converged to create a stable, reliable, and trustworthy basis for the reality of global warming. Mode of access: World Wide Web. Weather forecasting Climatology ; History Meteorology ; History Climatology ; Technological innovations Global temperature changes s (DE-588)4031170-3 (DE-627)106266977 (DE-576)208990925 Klima gnd s (DE-588)4164199-1 (DE-627)104288116 (DE-576)209886927 Klimaänderung gnd s (DE-588)4344515-9 (DE-627)155480960 (DE-576)211458287 Erwärmung Meteorologie gnd s (DE-588)4148259-1 (DE-627)105570354 (DE-576)209763132 Computersimulation gnd (DE-627) 9780262518635 9780262013925 Erscheint auch als Druck-Ausgabe 9780262518635 https://ieeexplore.ieee.org/book/6267526 X:MITPRESS Verlag lizenzpflichtig ZDB-37-IEM 2012 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_2015 ISIL_DE-93 BO 045F 551.63 22 01 0018 3848475170 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3957240670 olr-MIT i z 23-07-21 100 01 3100 447246778X 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011222097 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 2015 01 DE-93 3740750472 00 --%%-- --%%-- p --%%-- Campuslizenz l01 18-08-20 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/6267526 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/6267526 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/6267526 100 01 3100 https://ieeexplore.ieee.org/book/6267526 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/6267526 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/6267526 2015 01 DE-93 https://ieeexplore.ieee.org/book/6267526 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01 |
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Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, "sound science." In A Vast Machine Paul Edwards has news for these doubters: without models, there are no data. Today, no collection of signals or observations--even from satellites, which can "see" the whole planet with a single instrument--becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere--to measure it, trace its past, and model its future. Edwards argues that all our knowledge about climate change comes from three kinds of computer models: simulation models of weather and climate; reanalysis models, which recreate climate history from historical weather data; and data models, used to combine and adjust measurements from many different sources. Meteorology creates knowledge through an infrastructure (weather stations and other data platforms) that covers the whole world, making global data. This infrastructure generates information so vast in quantity and so diverse in quality and form that it can be understood only by computer analysis--making data global. Edwards describes the science behind the scientific consensus on climate change, arguing that over the years data and models have converged to create a stable, reliable, and trustworthy basis for the reality of global warming. Academic Complete Subscription 2011-2012. - ""Multi-User"". - Includes bibliographical references (p. [441]-507) and index. - Description based on PDF viewed 12/23/2015 |
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Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, "sound science." In A Vast Machine Paul Edwards has news for these doubters: without models, there are no data. Today, no collection of signals or observations--even from satellites, which can "see" the whole planet with a single instrument--becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere--to measure it, trace its past, and model its future. Edwards argues that all our knowledge about climate change comes from three kinds of computer models: simulation models of weather and climate; reanalysis models, which recreate climate history from historical weather data; and data models, used to combine and adjust measurements from many different sources. Meteorology creates knowledge through an infrastructure (weather stations and other data platforms) that covers the whole world, making global data. This infrastructure generates information so vast in quantity and so diverse in quality and form that it can be understood only by computer analysis--making data global. Edwards describes the science behind the scientific consensus on climate change, arguing that over the years data and models have converged to create a stable, reliable, and trustworthy basis for the reality of global warming. Academic Complete Subscription 2011-2012. - ""Multi-User"". - Includes bibliographical references (p. [441]-507) and index. - Description based on PDF viewed 12/23/2015 |
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Global warming skeptics often fall back on the argument that the scientific case for global warming is all model predictions, nothing but simulation; they warn us that we need to wait for real data, "sound science." In A Vast Machine Paul Edwards has news for these doubters: without models, there are no data. Today, no collection of signals or observations--even from satellites, which can "see" the whole planet with a single instrument--becomes global in time and space without passing through a series of data models. Everything we know about the world's climate we know through models. Edwards offers an engaging and innovative history of how scientists learned to understand the atmosphere--to measure it, trace its past, and model its future. Edwards argues that all our knowledge about climate change comes from three kinds of computer models: simulation models of weather and climate; reanalysis models, which recreate climate history from historical weather data; and data models, used to combine and adjust measurements from many different sources. Meteorology creates knowledge through an infrastructure (weather stations and other data platforms) that covers the whole world, making global data. This infrastructure generates information so vast in quantity and so diverse in quality and form that it can be understood only by computer analysis--making data global. Edwards describes the science behind the scientific consensus on climate change, arguing that over the years data and models have converged to create a stable, reliable, and trustworthy basis for the reality of global warming. Academic Complete Subscription 2011-2012. - ""Multi-User"". - Includes bibliographical references (p. [441]-507) and index. - Description based on PDF viewed 12/23/2015 |
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