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

被引:299
|
作者
Ching, J. [1 ]
Mills, G. [2 ]
Bechtel, B. [3 ]
See, L. [4 ]
Feddema, J. [5 ]
Wang, X. [6 ]
Ren, C. [7 ]
Brousse, O. [8 ]
Martilli, A. [9 ]
Neophytou, M. [10 ]
Mouzourides, P. [10 ]
Stewart, I. [11 ]
Hanna, A. [1 ]
Ng, E. [7 ]
Foley, M. [2 ]
Alexander, P. [2 ]
Aliaga, D. [12 ]
Niyogi, D. [12 ]
Shreevastava, A. [12 ]
Bhalachandran, P. [12 ]
Masson, V. [13 ]
Hidalgo, J. [14 ]
Fung, J. [15 ]
Andrade, M. [16 ]
Baklanov, A. [17 ]
Dai, W. [6 ]
Milcinski, G. [18 ]
Demuzere, M. [19 ]
Brunsell, N. [20 ]
Pesaresi, M. [21 ]
Miao, S. [22 ]
Mu, Q. [22 ]
Chen, F. [23 ]
Theeuwes, N. [24 ]
机构
[1] Univ N Carolina, Inst Environm, Chapel Hill, NC 27515 USA
[2] Univ Coll Dublin, Dublin, Ireland
[3] Univ Hamburg, Hamburg, Germany
[4] IIASA, Vienna, Austria
[5] Univ Victoria, Victoria, BC, Canada
[6] Sun Yat Sen Univ, Guangzhou, Guangdong, Peoples R China
[7] Chinese Univ Hong Kong, Hong Kong, Hong Kong, Peoples R China
[8] Katholieke Univ Leuven, Leuven, Belgium
[9] CIEMAT, Madrid, Spain
[10] Univ Cyprus, Nicosia, Cyprus
[11] Univ Toronto, Toronto, ON, Canada
[12] Purdue Univ, W Lafayette, IN 47907 USA
[13] Meteo France, Toulouse, France
[14] Univ Toulouse II, Toulouse, France
[15] Hong Kong Univ Sci & Technol, Hong Kong, Hong Kong, Peoples R China
[16] Univ Sao Paulo, Sao Paulo, Brazil
[17] World Meteorol Org, Geneva, Switzerland
[18] Sinergise, Ljubljana, Slovenia
[19] Univ Ghent, Dept Forest & Water Management, Ghent, Belgium
[20] Univ Kansas, Lawrence, KS 66045 USA
[21] European Commiss, JRC, Ispra, Italy
[22] China Meteorol Adm, Inst Urban Meteorol, Beijing, Peoples R China
[23] NCAR, Boulder, CO USA
[24] Univ Reading, Reading, Berks, England
基金
美国国家科学基金会;
关键词
CANOPY MODEL; LAND-COVER; LAYER; PARAMETERIZATION; ENERGY; CITY; CLASSIFICATION; IMPACT; ZONES; URBANIZATION;
D O I
10.1175/BAMS-D-16-0236.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
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.
引用
收藏
页码:1907 / 1928
页数:22
相关论文
共 50 条
  • [21] Developing grid based infrastructure for climate modeling
    Taylor, J
    Dvorak, M
    Mickelson, S
    COMPUTATIONAL SCIENCE-ICCS 2002, PT II, PROCEEDINGS, 2002, 2330 : 739 - 747
  • [22] Developing a community-based worldwide urban morphology and materials database (WUDAPT) using remote sensing and crowdsourcing for improved urban climate modelling
    See, Linda
    Perger, Christoph
    Duerauer, Martina
    Fritz, Steffen
    Mills, Gerald
    Foley, Micheal
    O'Connor, Martin
    Bechtel, Benjamin
    Stewart, Iain
    Ching, Jason
    Feddema, Johannes
    Alexander, Paul
    Masson, Valery
    2015 JOINT URBAN REMOTE SENSING EVENT (JURSE), 2015,
  • [23] Urban Infrastructure Vulnerability to Climate-Induced Risks: A Probabilistic Modeling Approach Using Remote Sensing as a Tool in Urban Planning
    Rodriguez-Antunano, Ignacio
    Barros, Brais
    Martinez-Sanchez, Joaquin
    Riveiro, Belen
    INFRASTRUCTURES, 2024, 9 (07)
  • [24] Urban Development under Climate Change by Green Infrastructure
    Roessler, Stefanie
    RAUMFORSCHUNG UND RAUMORDNUNG-SPATIAL RESEARCH AND PLANNING, 2015, 73 (02): : 123 - 132
  • [25] Climate change and urban wastewater infrastructure: There is more to explore
    Langeveld, J. G.
    Schilperoort, R. P. S.
    Weijers, S. R.
    JOURNAL OF HYDROLOGY, 2013, 476 : 112 - 119
  • [26] Adapting to climate change through urban green infrastructure
    Stuart R. Gaffin
    Cynthia Rosenzweig
    Angela Y. Y. Kong
    Nature Climate Change, 2012, 2 : 704 - 704
  • [27] Assessing urban strategies for reducing the impacts of extreme weather on infrastructure networks
    Pregnolato, Maria
    Ford, Alistair
    Robson, Craig
    Glenis, Vassilis
    Barr, Stuart
    Dawson, Richard
    ROYAL SOCIETY OPEN SCIENCE, 2016, 3 (05):
  • [28] Mapping the local climate zones of urban areas by GIS-based and WUDAPT methods: A case study of Hong Kong
    Wang, Ran
    Ren, Chao
    Xu, Yong
    Lau, Kevin Ka-Lun
    Shi, Yuan
    URBAN CLIMATE, 2018, 24 : 567 - 576
  • [29] Learning through creative practices in the Anthropocene: young climate activists in urban spaces
    Kaire, Sandra
    Somerville, Margaret
    INTERNATIONAL JOURNAL OF QUALITATIVE STUDIES IN EDUCATION, 2025, 38 (01) : 141 - 161
  • [30] Urban regreeneration: Green urban infrastructure as a response to climate change mitigation and adaptation
    Senosiain J.L.
    International Journal of Design and Nature and Ecodynamics, 2020, 15 (01): : 33 - 38