Data from research on optimal water use strategies to mitigate high urban temperatures

Datacite citation style:
bin liu (2019): Data from research on optimal water use strategies to mitigate high urban temperatures. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/uuid:01621202-7ec4-4643-84b5-5f9ec2966004
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
usage stats
1125
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downloads
geolocation
Beijing
lat (N): 39.92
lon (E): 116.38
view on openstreetmap
time coverage
2000/2017
licence
cc-0.png logo CC0
These data are validation and results of the research on optimal water use strategies to mitigate high urban temperatures, the validation data include both the regional (1km, summer time averaged from 2008-2014, originated from China Meteorological Administration Land Data Assimilation System (CLDAS)) and in-situ data (hourly, from 2000-2017, 20 stations) of Beijing. And the result data is the relationships between cooling effect and water amount which is got from sensitivity analysis of Weather Research and Forecasting (WRF) model (detail data description can see README.doc).
history
  • 2019-09-19 first online, published, posted
publisher
4TU.Centre for Research Data
format
media types: application/pdf, application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, application/x-netcdf, application/x-netcdf, application/zip
organizations
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China;
School of Software Engineering, Chengdu University of Information Technology, Chengdu, China;
University of Chinese Academy of Sciences, Beijing, China

DATA

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