Li, Yunfei; Schubert, Sebastian; Kropp, Jürgen P; Rybski, Diego (2020): Urban canopy parameterization data for urban climate simulation using CCLM/DCEP and hourly 2m temperature output [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.914906
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Published: 2020-04-17 • DOI registered: 2020-04-20
Abstract:
This dataset includes artificial/scenario Urban Canopy Parameterization (UCP) data for urban climate modelling with COSMO-CLM/DCEP and the hourly 2-meter temperature output of the corresponding simulations. Each simulation has a resolution of 0.009 degree (~1km) and covers a domain of around 300x300km centred at Berlin area. The temperature output covers a 1-week heatwave event which lasted from 1st to 7th of August 2003. All the simulations are driven by the same lateral boundary climate data down-scaled from ERA-Interim data, and the purpose of the work is to study the influence of urban morphology on urban heat island effect. UCP files are created using R package (https://github.com/sebschub/dcepucp) by incorporating designed scenarios (varying urban forms) of detailed urban street canyon structures which include urban fraction, street canyon orientation, building width, street canyon width and building height distribution. The details about the generation of the UCP dataset and conducted simulations can be found in Li Y, Schubert S, Rybski D, Kropp JP (2020): Urban Form and Heat. Nature Communications.
Supplement to:
Li, Yunfei; Schubert, Sebastian; Kropp, Jürgen P; Rybski, Diego (in review): Urban Form and Heat. Nature Communications
Coverage:
Latitude: 52.030000 * Longitude: 13.060000
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File name | File name | Li, Yunfei | |||
| 2 | File format | File format | Li, Yunfei | |||
| 3 | File size | File size | kByte | Li, Yunfei | ||
| 4 | Uniform resource locator/link to file | URL file | Li, Yunfei |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
24 data points