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Maps of the simulations and observations (TURBAN-D17)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00585436" target="_blank" >RIV/67985807:_____/24:00585436 - isvavai.cz</a>

  • Alternative codes found

    RIV/00020699:_____/24:N0000142

  • Result on the web

    <a href="https://doi.org/10.5281/zenodo.10982836" target="_blank" >https://doi.org/10.5281/zenodo.10982836</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Maps of the simulations and observations (TURBAN-D17)

  • Original language description

    Basic informationnThis dataset contains two folders, in output-measurements are daily averaged TURDATA (see https://zenodo.org/records/10655033) results for air quality measurements. In folder output-simulations 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:nns1 2022-07-17 00:00:00 - 2022-07-20 00:00:00ns2: 2022-08-02 00:00:00 - 2022-08-05 00:00:00ns3: 2022-09-22 00:00:00 - 2022-09-25 00:00:00ns4: 2022-12-08 00:00:00 - 2022-12-11 00:00:00ns5: 2023-01-27 00:00:00 - 2023-01-30 00:00:00ns6: 2023-02-13 00:00:00 - 2023-02-16 00:00:00nFor all episode’s boundary conditions from regional model ICON (see icon in folder nomenclature) were used. However, for a very stable condition during s6 two additional regional models were used (WRF and ALADIN, see wrf or alad) that provided boundary conditions closer to the observed meteorology. For more detailed description of the experiments see the TURBAN project website at https://www.project-turban.eu/.

  • Czech name

  • Czech description

Classification

  • Type

    N<sub>map</sub> - Specialized map with scientific content

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

    <a href="/en/project/TO01000219" target="_blank" >TO01000219: Turbulent-resolving urban modeling of air quality and thermal comfort</a><br>

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Internal product ID

    TURBAN-D17

  • Regulation ID

  • Technical parameters

    General organisation: 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. Modelled variables: Each subfolder includes 3 subfolders with variables. Variable bio_pet is the Physiological Equivalent Temperature (PET), bio_utci is the Universal Thermal Climate Index (UTCI) and kc_PM10 is the concentration of PM10 at 3m above ground. Episodes s4 and s6 includes 3 more subfolders: kc_NO is the concentration of NO, kc_NO2 is the concentration of NO2 and kc_PM25 is the concentration of PM2.5 at 3m above ground. File nomenclature: 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. Important note: 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.

  • Economical parameters

    This dataset contains two folders, in output-measurements are daily averaged TURDATA (see https://zenodo.org/records/10655033) results for air quality measurements. In folder output-simulations 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. This is the first output in a similar level of detail simulated using LES and freely available for state administration. It is available under CC BY 4.0 licence.

  • Certification body designation

  • Date of certification

  • Method of use

    C - Výsledek je využíván bez omezení okruhu uživatelů