4.7 Article

WUDAPT An Urban Weather, Climate, and Environmental Modeling Infrastructure for the Anthropocene

Journal

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
Volume 99, Issue 9, Pages 1907-1928

Publisher

AMER METEOROLOGICAL SOC
DOI: 10.1175/BAMS-D-16-0236.1

Keywords

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Funding

  1. Argonne National Laboratory
  2. Chinese University of Hong Kong
  3. General Research Fund Project Grants of the Hong Kong Research Grants Council [RGC-GRF 14611015, 14643816, 16300715]
  4. Cluster of Excellence CliSAP, University of Hamburg through the German Science Foundation (DFG) [EXC 177]
  5. US NSF [AGS-0847472]
  6. NSF [AGS-1522492, CBET 1250232]
  7. ESSO-MoES, India under Monsoon Mission [MM/SERP/CNRS/2013/INT-10/002]
  8. U.S. NSF [AGS-1243095]
  9. National Nature Science Foundation of China [41425020, 91644215]
  10. Spanish government [CGL2016-80154-R]
  11. EU FP7-funded ERC grant CrowdLand [617754]
  12. REACT project - STEREO-IIl program of the Belgian Science Policy (BELSPO) [SR/00/337]
  13. Div Atmospheric & Geospace Sciences
  14. Directorate For Geosciences [0847472] Funding Source: National Science Foundation

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The World Urban Database and Access Portal Tools (WUDAPT) is an international community-based initiative to acquire and disseminate climate relevant data on the physical geographies of cities for modeling and analysis purposes. The current lacuna of globally consistent information on cities is a major impediment to urban climate science toward informing and developing climate mitigation and adaptation strategies at urban scales. WUDAPT consists of a database and a portal system; its database is structured into a hierarchy representing different levels of detail, and the data are acquired using innovative protocols that utilize crowdsourcing approaches, Geowiki tools, freely accessible data, and building typology archetypes. The base level of information (L0) consists of local climate zone (LCZ) maps of cities; each LCZ category is associated with a range of values for model-relevant surface descriptors (roughness, impervious surface cover, roof area, building heights, etc.). Levels 1 (L1) and 2 (L2) will provide specific intra-urban values for other relevant descriptors at greater precision, such as data morphological forms, material composition data, and energy usage. This article describes the status of the WUDAPT project and demonstrates its potential value using observations and models. As a community-based project, other researchers are encouraged to participate to help create a global urban database of value to urban climate scientists.

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