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Thermally-driven mesoscale flows and...
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Arrillaga Mitxelena, Jon Ander.
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence
Record Type:
Electronic resources : Monograph/item
Title/Author:
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulenceby Jon Ander Arrillaga Mitxelena.
Author:
Arrillaga Mitxelena, Jon Ander.
Published:
Cham :Springer International Publishing :2020.
Description:
xxvi, 152 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Boundary layer (Meteorology)
Online resource:
https://doi.org/10.1007/978-3-030-48579-5
ISBN:
9783030485795$q(electronic bk.)
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence
Arrillaga Mitxelena, Jon Ander.
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence
[electronic resource] /by Jon Ander Arrillaga Mitxelena. - Cham :Springer International Publishing :2020. - xxvi, 152 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..
Introduction and Objectives -- Data and Methodology -- Characterisation of Sea-Breeze Events Over Complex Terrain -- Impacts of Sea-Breeze Fronts on Local Turbulence and Scalar Transport -- Modelling Sea Breezes and their Interaction with Atmospheric Turbulence -- Weak and Intense Katabatics: Influence on Turbulence and Co2 Transport -- Conclusions and Outlook.
This book presents developments of novel techniques and applies them in order to understand the interactions between thermally driven mesoscale flows (sea and mountain breezes) and the turbulent exchange within the atmospheric boundary layer. These interactions are not accurately reproduced in the meteorological models currently employed for weather forecasting. Consequently, important variables such as air temperature and wind speed are misrepresented. Also, the concentrations of relevant greenhouse gases such as CO2 are considerably affected by these interactions. By applying a systematic algorithm based on objective criteria (presented here), the thesis explores complete observational databases spanning up to 10 years. Further, it presents statistically significant and robust results on the topic, which has only been studied in a handful of cases in the extant literature. Lastly, by applying the algorithm directly to the outputs of the meteorological model, the thesis helps readers understand the processes discussed and reveals the biases in such models.
ISBN: 9783030485795$q(electronic bk.)
Standard No.: 10.1007/978-3-030-48579-5doiSubjects--Topical Terms:
736845
Boundary layer (Meteorology)
LC Class. No.: QC880.4.B65 / A775 2020
Dewey Class. No.: 551.515
Thermally-driven mesoscale flows and their Interaction with atmospheric boundary layer turbulence
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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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Mathematics and Statistics (Springer-11649)
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EB QC880.4.B65 A776 2020 2020
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