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Advisor(s)
Abstract(s)
Urbanized hot spots incorporate a great diversity of microclimates dependent, among
other factors, on local meteorological conditions. Until today, detailed analysis of the combination
of climatic variables at local scale are very scarce in urban areas. Thus, there is an urgent need to
produce a LocalWeather Type (LWT) classification that allows to exhaustively distinguish di erent
urban thermal patterns. In this study, hourly data from air temperature, wind speed and direction,
accumulated precipitation, cloud cover and specific humidity (2009–2018) were integrated in a cluster
analysis (K-means) in order to produce a LWT classification for Lisbon’s urban area. This dataset
was divided by daytime and nighttime and thermal periods, which were generated considering the
annual cycle of air temperatures. Therefore, eight LWT sets were generated. Results show that N and
NW LWT are quite frequent throughout the year, with a moderate speed (daily average of 4–6 m/s).
In contrast, the frequency of rainy LWT is considerably lower, especially in summer (below 10%).
Moreover, during this season the moisture content of the air masses is higher, particularly at night.
This methodology will allow deepening the knowledge about the multiple Urban Heat Island (UHI)
patterns in Lisbon.
Description
Keywords
Local weather types (LWTs) Lisbon Cluster analysis Local meteorological conditions Thermal periods Urban heat island (UHI)
Pedagogical Context
Citation
Reis, C., Lopes, A., Correia, E., & Fragoso, M. (2020). Local Weather Types by thermal periods: deepening the knowledge about Lisbon’s urban climate. Atmosphere, 11(8), 840. https://doi.org/10.3390/atmos11080840
Publisher
MDPI