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© 2020

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

Benefits

  • Nominated as an outstanding PhD thesis by Universidad Complutense de Madrid, Spain

  • Presents, describes and applies a systematic algorithm that can be extended to other studies in mesoscale meteorology

  • Combines observational analyses and numerical simulations, yielding promising results for weather forecasting

  • Draws on large databases (from a few months to 10 years) to improve the consistency and validity of the research presented, setting it apart from other mesoscale and microscale studies

Book
  • 650 Downloads

Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xxvi
  2. Jon Ander Arrillaga Mitxelena
    Pages 1-24
  3. Jon Ander Arrillaga Mitxelena
    Pages 25-43
  4. Jon Ander Arrillaga Mitxelena
    Pages 45-69
  5. Jon Ander Arrillaga Mitxelena
    Pages 143-148
  6. Back Matter
    Pages 149-152

About this book

Introduction

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.

Keywords

Mesoscale Meteorology Sea Breezes Mountain Breezes Atmospheric Boundary Layer Boundary Layer Turbulence WRF Modelling CO2 Variability

Authors and affiliations

  1. 1.Departamento de Física de la Tierra y AstrofísicaUniversidad Complutense de MadridMadridSpain

About the authors

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.

Bibliographic information

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