Maps of the simulations and observations (TURBAN-D17)
<h3>Basic information</h3> <p>This dataset contains two folders; in <em>output-measurements</em> are daily averaged <strong>TURDATA</strong> (see <a href="../records/10655033">https://zenodo.org/records/10655033</a>) results for air quality measurements. In folder <em>output-simulations</em> contains simulation results for the so-called Legerova domain, an area in the city of Prague, Czech Republic, centered around the traffic-heavy streets Legerova and Sokolská. All times are in UTC (local time in winter, CET, is UTC +01:00, summer time, CEST, is UTC +02:00). In total 6 episodes in 2022 and 2023 was selected:</p> <ol> <li>s1 2022-07-17 00:00:00 - 2022-07-20 00:00:00</li> <li>s2: 2022-08-02 00:00:00 - 2022-08-05 00:00:00</li> <li>s3: 2022-09-22 00:00:00 - 2022-09-25 00:00:00</li> <li>s4: 2022-12-08 00:00:00 - 2022-12-11 00:00:00</li> <li>s5: 2023-01-27 00:00:00 - 2023-01-30 00:00:00</li> <li>s6: 2023-02-13 00:00:00 - 2023-02-16 00:00:00</li> </ol> <p>For all episode’s boundary conditions from regional model ICON (see <em>icon</em> in folder nomenclature) were used. However, for a very stable condition during s6 two additional regional models were used (WRF and ALADIN; see <em>wrf</em> or <em>alad</em>) that provided boundary conditions closer to the observed meteorology. For more detailed description of the experiments see the <strong>TURBAN</strong> project website at <a href="https://www.project-turban.eu/">https://www.project-turban.eu/</a>.</p> <h3>General organisation</h3> <p>Each selected epizode (s1-s6) has three folders; post-processed results from the PALM model as averaged ASCII (output-ascii) or GeoTiff (output-gis) files that can be viewed in many GIS applications and maps in the PNG format (output-png). Each variable was averaged from original 10min values to 1 and 24-hour averages.</p> <h3>Modelled variables</h3> <p>Each subfolder includes 3 subfolders with variables. Variable <em>bio_pet</em> is the Physiological Equivalent Temperature (PET), <em>bio_utci</em> is the Universal Thermal Climate Index (UTCI) and <em>kc_PM10</em> is the concentration of PM10 at 3m above ground. Episodes s4 and s6 includes 3 more subfolders: <em>kc_NO</em> is the concentration of NO, <em>kc_NO2</em> is the concentration of NO2 and <em>kc_PM25</em> is the concentration of PM2.5 at 3m above ground.</p> <h3>File nomenclature</h3> <p>Each file (PRJ, TIF, ASC or PNG) has the same nomenclature. An example (bio_utci_abs-01h_20190724_1200-1300.png) could be parsed as: variable name (bio_utci), processed output (abs-01h), date (20190724) and averaged period (1200-1300). So, the result is a map with hourly averaged UTCI for 24 Jul 2019 between 12:00 and 13:00 UTC.</p> <h3>Important note</h3> <p>During the processing phase a few potentially important problems were identified and need to be analysed in detail. One of them are extremely overestimated concentrations due to stable conditions from boundary condition inputs. In certain situations, it can happen that the overall best regional meteorological model can provide inappropriate input conditions for some episode. This needs to be checked in detail before any following interpretation. The issue will be addressed in an upcoming manuscript that will be available through the project website.</p> <h3>Acknowledgements</h3> <p>The PALM simulations, and pre- and postprocessing were performed partially on the HPC infrastructure of the Institute of Computer Science of the Czech Academy of Sciences (ICS), supported by the long-term strategic development financing of the ICS (RVO:67985807) and partially on the IT4I HPC infrastructure supported by the Ministry of Education, Youth and Sports of the Czech Republic through the e-INFRA CZ (ID:90254). The work was performed within the project TURBAN (TO01000219; TURBAN – Turbulent-resolving urban modelling of air quality and thermal comfort) supported by Norway Grants and Technology Agency of the Czech Republic.</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8
Topics
Dataset details
- Repository
- zenodo
- Published
- April 16, 2024
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.10982835
Scored with release 0.9.0
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