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Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence (Springer Theses) - Tapa dura

 
9783030485788: Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence (Springer Theses)

Sinopsis

This book presents developments of novel techniques and applies them in order to understand the interactions between thermally driven mesoscale flows (sea and mountain breezes) and the turbulent exchange within the atmospheric boundary layer. These interactions are not accurately reproduced in the meteorological models currently employed for weather forecasting. Consequently, important variables such as air temperature and wind speed are misrepresented. Also, the concentrations of relevant greenhouse gases such as CO2 are considerably affected by these interactions.

By applying a systematic algorithm based on objective criteria (presented here), the thesis explores complete observational databases spanning up to 10 years. Further, it presents statistically significant and robust results on the topic, which has only been studied in a handful of cases in the extant literature. Lastly, by applying the algorithm directly to the outputs of the meteorological model, the thesis helps readers understand the processes discussed and reveals the biases in such models.

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Acerca del autor

Dr Jon Ander Arrillaga Mitxelena received his Ph.D. in Physics from the Complutense University of Madrid, Spain, in January 2019. At present, he works as a temporary full-time teacher at the University of the Basque Country. He is acquainted with the analysis of large observational meteorological databases and numerical simulations with mesoscale models such as WRF. His main interests are in applied meteorology and related research, particularly with regard to weather forecasting, biometeorology and wind energy.

De la contraportada

This book presents developments of novel techniques and applies them in order to understand the interactions between thermally driven mesoscale flows (sea and mountain breezes) and the turbulent exchange within the atmospheric boundary layer. These interactions are not accurately reproduced in the meteorological models currently employed for weather forecasting. Consequently, important variables such as air temperature and wind speed are misrepresented. Also, the concentrations of relevant greenhouse gases such as CO2 are considerably affected by these interactions.

By applying a systematic algorithm based on objective criteria (presented here), the thesis explores complete observational databases spanning up to 10 years. Further, it presents statistically significant and robust results on the topic, which has only been studied in a handful of cases in the extant literature. Lastly, by applying the algorithm directly to the outputs of the meteorological model, the thesis helps readers understand the processes discussed and reveals the biases in such models.

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  • EditorialSpringer
  • Año de publicación2020
  • ISBN 10 3030485781
  • ISBN 13 9783030485788
  • EncuadernaciónTapa dura
  • IdiomaInglés
  • Número de edición1
  • Número de páginas180
  • Contacto del fabricanteno disponible

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9783030485818: Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence (Springer Theses)

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ISBN 10:  3030485811 ISBN 13:  9783030485818
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Jon Ander Arrillaga Mitxelena
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ISBN 10: 3030485781 ISBN 13: 9783030485788
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Nominated as an outstanding PhD thesis by&nbspUniversidad Complutense de Madrid, SpainPresents, describes and applies a systematic algorithm that can be extended to other studies in mesoscale meteorologyCombines observation. Nº de ref. del artículo: 448683184

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Jon Ander Arrillaga Mitxelena
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents developments of novel techniques and applies them in order to understand the interactions between thermally driven mesoscale flows (sea and mountain breezes) and the turbulent exchange within the atmospheric boundary layer. These interactions are not accurately reproduced in the meteorological models currently employed for weather forecasting. Consequently, important variables such as air temperature and wind speed are misrepresented. Also, the concentrations of relevant greenhouse gases such as CO2 are considerably affected by these interactions.By applying a systematic algorithm based on objective criteria (presented here), the thesis explores complete observational databases spanning up to 10 years. Further, it presents statistically significant and robust results on the topic, which has only been studied in a handful of cases in the extant literature. Lastly, by applying the algorithm directly to the outputs of the meteorological model, the thesis helps readers understand the processes discussed and reveals the biases in such models. 180 pp. Englisch. Nº de ref. del artículo: 9783030485788

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Jon Ander Arrillaga Mitxelena
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents developments of novel techniques and applies them in order to understand the interactions between thermally driven mesoscale flows (sea and mountain breezes) and the turbulent exchange within the atmospheric boundary layer. These interactions are not accurately reproduced in the meteorological models currently employed for weather forecasting. Consequently, important variables such as air temperature and wind speed are misrepresented. Also, the concentrations of relevant greenhouse gases such as CO2 are considerably affected by these interactions.By applying a systematic algorithm based on objective criteria (presented here), the thesis explores complete observational databases spanning up to 10 years. Further, it presents statistically significant and robust results on the topic, which has only been studied in a handful of cases in the extant literature. Lastly, by applying the algorithm directly to the outputs of the meteorological model, the thesis helpsreaders understand the processes discussed and reveals the biases in such models. Nº de ref. del artículo: 9783030485788

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Arrillaga Mitxelena, Jon Ander
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Arrillaga Mitxelena, Jon Ander
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Mitxelena, Jon Ander Arrillaga
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