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Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence

ISBN-13: 9783030485788 / Angielski / Twarda / 2020 / 152 str.

Jon Ander Arrillaga Mitxelena
Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence Arrillaga Mitxelena, Jon Ander 9783030485788 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

    

Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence

ISBN-13: 9783030485788 / Angielski / Twarda / 2020 / 152 str.

Jon Ander Arrillaga Mitxelena
cena 589,72 zł
(netto: 561,64 VAT:  5%)
Termin realizacji zamówienia:
ok. 16-18 dni roboczych.

Darmowa dostawa!
inne wydania

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.

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.

Kategorie:
Informatyka
Kategorie BISAC:
Science > Earth Sciences - General
Science > Environmental Science (see also Chemistry - Environmental)
Science > Chemia - Analityczna
Wydawca:
Springer
Seria wydawnicza:
Springer Theses
Język:
Angielski
ISBN-13:
9783030485788
Rok wydania:
2020
Wydanie:
2020
Numer serii:
000416125
Ilość stron:
152
Waga:
0.43 kg
Wymiary:
23.39 x 15.6 x 1.12
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

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.

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.

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.

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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