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Urban Multi-scale Environmental Predictor (UMEP): An integrated tool for city-based climate services

  • Fredrik Lindberg
  • , C. S.B. Grimmond
  • , Andrew Gabey
  • , Bei Huang
  • , Christoph W. Kent
  • , Ting Sun
  • , Natalie E. Theeuwes
  • , Leena Järvi
  • , Helen C. Ward
  • , I. Capel-Timms
  • , Yuanyong Chang
  • , Per Jonsson
  • , Niklas Krave
  • , Dongwei Liu
  • , D. Meyer
  • , K. Frans G. Olofson
  • , Jianguo Tan
  • , Dag Wästberg
  • , Lingbo Xue
  • , Zhe Zhang
  • University of Gothenburg
  • University of Reading
  • Tsinghua University
  • University of Helsinki
  • University of Innsbruck
  • Shanghai Institute of Meteorological Science
  • Tyréns AB
  • Shanghai Climate Centre
  • Yangzhou University
  • School of Environment and Sustainability

Research output: Contribution to journalArticlepeer-review

264 Scopus citations

Abstract

UMEP (Urban Multi-scale Environmental Predictor), a city-based climate service tool, combines models and tools essential for climate simulations. Applications are presented to illustrate UMEP's potential in the identification of heat waves and cold waves; the impact of green infrastructure on runoff; the effects of buildings on human thermal stress; solar energy production; and the impact of human activities on heat emissions. UMEP has broad utility for applications related to outdoor thermal comfort, wind, urban energy consumption and climate change mitigation. It includes tools to enable users to input atmospheric and surface data from multiple sources, to characterise the urban environment, to prepare meteorological data for use in cities, to undertake simulations and consider scenarios, and to compare and visualise different combinations of climate indicators. An open-source tool, UMEP is designed to be easily updated as new data and tools are developed, and to be accessible to researchers, decision-makers and practitioners.

Original languageEnglish
Pages (from-to)70-87
Number of pages18
JournalEnvironmental Modelling and Software
Volume99
DOIs
StatePublished - Jan 2018

Keywords

  • Green infrastructure
  • Heat risk
  • QGIS
  • Solar energy
  • Urban climate services

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