Full Title
Urban weather modeling applications: A Vienna case study
Keywords
urban climate, modeling, dynamic downscaling, morphing, data analysis
【Research Article】
本文分析了生成與地點有關的城市氣象數據的不同方法。我們將生成的氣象輸出與氣象研究和預測(WRF)模型、城市氣象生成器以及漸變算法進行了比較。這些方法是基於從奧地利維也納兩個不同城市收集的5個研究周期的經驗數據(氣溫、溼度和風速)進行比較的。我們的結果表明，在最終的模型輸出中存在顯著的時間和空間差異。結果進一步表明，在高密度的城市地區以及在春季、夏季的溫暖和極端條件下，預測性能更好。
Recently, the interest in urban weather modeling methods has been steadily increasing. This is in part due to the insight that thermal building performance simulations are typically undertaken with standardized weather files that provide a rather general perspective on urban weather conditions. This may lead toward errors in conclusions drawn from modeling efforts. In this context, present contribution reports on the potential of different approaches to generate location-dependent urban meteorological data. We compare the meteorological output generated with the Weather Research and Forecasting (WRF) model, Urban Weather Generator, and morphing approach. These methods were compared based on empirical data (air temperature, humidity, and wind speed) collected from two distinct urban locations in Vienna, Austria, over 5 study periods. Our results suggest significant temporal and spatial discrepancies in resulting modeling output. Results further suggest better predictive performance in the case of high-density urban areas and under warmer and extreme conditions in spring and summer periods, respectively.
Authors
Milena Vuckovic, Kristopher Hammerberg, Ardeshir Mahdavi
Department of Building Physics and Building Ecology, TU Vienna, Vienna, Austria
Vuckovic M, Hammerberg K, Mahdavi A(2020). Urban weather modeling applications: A Vienna case study. Building Simulation, 13: 99–111.
https://doi.org/10.1007/s12273-019-0564-y
Please click 閱讀原文 to read the full article.
公眾號：建築模擬
網址：www.springer.com/12273
編輯部：bsjournal@tsinghua.edu.cn