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

Arrillaga Mitxelena, Jon Ander

Brossura

ISBN 10: 3030485811 ISBN 13: 9783030485818

Casa editrice: Springer, 2021

Riassunto

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.

Su questo libro

Informazioni sull?autore

<p>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.</p><p></p>

Dalla quarta di copertina

<p>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.</p><p>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.</p><p></p>

Dettagli dell?edizione

• Editore: Springer
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 3030485811
• ISBN 13: 9783030485818
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 180
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania