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.
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.

Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence
152
Thermally-driven Mesoscale Flows and their Interaction with Atmospheric Boundary Layer Turbulence
152Paperback(1st ed. 2020)
Product Details
ISBN-13: | 9783030485818 |
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Publisher: | Springer International Publishing |
Publication date: | 06/12/2020 |
Series: | Springer Theses |
Edition description: | 1st ed. 2020 |
Pages: | 152 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |