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Thermally-driven mesoscale flows and...
~
Arrillaga Mitxelena, Jon Ander.
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Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence/ by Jon Ander Arrillaga Mitxelena.
作者:
Arrillaga Mitxelena, Jon Ander.
出版者:
Cham :Springer International Publishing : : 2020.,
面頁冊數:
xxvi, 152 p. :ill., digital ;24 cm.
內容註:
Introduction and Objectives -- Data and Methodology -- Characterisation of Sea-Breeze Events Over Complex Terrain -- Impacts of Sea-Breeze Fronts on Local Turbulence and Scalar Transport -- Modelling Sea Breezes and their Interaction with Atmospheric Turbulence -- Weak and Intense Katabatics: Influence on Turbulence and Co2 Transport -- Conclusions and Outlook.
Contained By:
Springer eBooks
標題:
Boundary layer (Meteorology) -
電子資源:
https://doi.org/10.1007/978-3-030-48579-5
ISBN:
9783030485795
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence
Arrillaga Mitxelena, Jon Ander.
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence
[electronic resource] /by Jon Ander Arrillaga Mitxelena. - Cham :Springer International Publishing :2020. - xxvi, 152 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Introduction and Objectives -- Data and Methodology -- Characterisation of Sea-Breeze Events Over Complex Terrain -- Impacts of Sea-Breeze Fronts on Local Turbulence and Scalar Transport -- Modelling Sea Breezes and their Interaction with Atmospheric Turbulence -- Weak and Intense Katabatics: Influence on Turbulence and Co2 Transport -- Conclusions and Outlook.
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.
ISBN: 9783030485795
Standard No.: 10.1007/978-3-030-48579-5doiSubjects--Topical Terms:
673954
Boundary layer (Meteorology)
LC Class. No.: QC880.4.B65 / A775 2020
Dewey Class. No.: 551.515
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Introduction and Objectives -- Data and Methodology -- Characterisation of Sea-Breeze Events Over Complex Terrain -- Impacts of Sea-Breeze Fronts on Local Turbulence and Scalar Transport -- Modelling Sea Breezes and their Interaction with Atmospheric Turbulence -- Weak and Intense Katabatics: Influence on Turbulence and Co2 Transport -- Conclusions and Outlook.
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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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