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Authors

Fredrik Lindberg, Department of Earth Sciences, University of Gothenburg, Gothenburg, SwedenFollow
Sue Grimmond, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Andrew Gabey, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Bei Huang, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Christoph W. Kent, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Ting Sun, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Natalie E. Theeuwes, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Leena Järvi, Department of Physics, University of Helsinki, FinlandFollow
Helen Ward, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Izzy Capel-Timms, Department of Meteorology, University of Reading, Reading, United KingdomFollow
YY Chang, Shanghai Institute of Meteorological Science, Shanghai Meteorological Service, ChinaFollow
Per Jonsson, Tyréns AB, Gothenburg, SwedenFollow
Niklas Krave, Department of Earth Sciences, University of Gothenburg, Gothenburg, SwedenFollow
Dongwei Liu, Shanghai Institute of Meteorological Science, Shanghai Meteorological Service, ChinaFollow
D Meyer, Department of Meteorology, University of Reading, Reading, United KingdomFollow
K Frans G. Olofson, Department of Earth Sciences, University of Gothenburg, Gothenburg, SwedenFollow
Jian-Guo Tan, Shanghai Institute of Meteorological Science, Shanghai Meteorological Service, ChinaFollow
Dag Wästberg, Tyréns AB, Gothenburg, SwedenFollow
Lingbo Xue, Department of Meteorology, University of Reading, Reading, United KingdomFollow
Zhe Zhang, Department of Meteorology, University of Reading, Reading, United KingdomFollow

Abstract

The city based climate service tool UMEP (Urban Multi-scale Environmental Predictor) is a coupled modelling system that combines models essential for urban climate processes and is developed as an extensive QGIS plugin. An application is presented to illustrate its potential, specifically of the identification of heat waves and cold waves in cities. The tool has broad utility for applications related to outdoor thermal comfort, urban energy consumption, climate change mitigation etc. It includes tools to: enable users to input atmospheric and surface data from multiple sources, prepare meteorological data for use in urban areas, undertake simulations and consider scenarios, and compare and visualize different combinations of climate indicators.

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