Výsledky vyhledávání

  1. 1.
    0585235 - ÚI DATA Vědecká data      2024
    Geletič, Jan - Bauerová, P. - Belda, M. - Bureš, Martin - Eben, Kryštof - Fuka, V. - Karel, J. - Keder, J. - Krč, Pavel - Jareš, R. - Patiño, W. - Radović, J. - Resler, Jaroslav - Řezníček, Hynek - Šindelářová, A. - Vlček, O.

    Scenarios simulations of Prague (D05).

    Popis: Basic information
    This dataset contains simulation results for the so-called Holešovičky domain, an area in the city of Prague, Czech Republic, expected to undergo major traffic infrastructure changes in the near future. Three scenarios were modelled: current infrastructure with traffic intensity projections for 2023 (C1), future outlook with a finished part of city inner ring-road in 2030 (C2) and effect of finishing the northern part of the Prague outer ring-road (C3), which will decrease heavy traffic in the domain. Note that all scenarios have slightly different landcover (trees, buildings, bridges, tunnels etc.), so there could be small areas containing NA values in the maps and GIS files. All times are in UTC (local time, CEST is UTC +02:00).

    For more detailed description of the experiments see the TURBAN project website at https://www.project-turban.eu/.

    General organisation
    Each scenario has two folders; post-processed results from the PALM model as averaged ASCII files that can be viewed in many GIS applications (output-gis) and maps in the PNG format (output-png). Each variable was averaged from original 10min values to 1, 3 and 24-hour averages. The C1 scenario was used as a baseline. In addition to that, also differences for all variables were calculated for the scenarios C2 and C3. In total, the C1 scenario has 3 subfolders with absolute values (prefix abs), the scenarios C2 and C3 have 6 (3 with absolute values and 3 with differences; prefix diff).

    Modelled variables
    Each subfolder includes 7 subfolders with variables. Variable bio_mrt is the Mean Radiant Temperature (MRT), bio_pet is the Physiological Equivalent Temperature (PET), bio_utci is the Universal Thermal Climate Index (UTCI), kc_PM10_02m is the concentration of PM10 at 2m above ground, theta_2m is the potential temperature at 2m above ground, tsurf is the surface temperature and wspeed_10m is the wind speed at 10m above ground.

    File nomenclature
    Each file (PRJ or ASC, 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 best regional meteorological model can provide inappropriate input conditions for some episode. This needs to be checked in detail before any following interpretation.
    Klíčová slova: air quality * thermal comfort * micro-scale * CFD modeling * cities
    Obor OECD: Meteorology and atmospheric sciences
    Trvalý link: https://hdl.handle.net/11104/0353007
    Vkladatel: admin
    Datum publikování: 17.4.2024
     
     
    Licence:
    Uveďte původ Mezinárodní licence
     
    ÚložištěPřístupKomentář
    Zenodo.orgpovolen
    Grant CEP: GA TA ČR(CZ) TO01000219
    Institucionální podpora: RVO:67985807
  2. 2.
    0585232 - ÚI DATA Vědecká data      2024
    Geletič, Jan

    Satellite remote sensing dataset for urban climate in Bergen and Prague.

    Popis: Shared dataset contains remote sensing data necessary for a land surface temperature (LST) calculation. Layers were processed for two cities; Bergen (Norway) and Prague (Czech Republic). Original data were downloaded from the U.S. Geological Survey (https://doi.org/10.5066/P975CC9B). For a LST calculation, a land surface emissivity (LSE) algorithm was used.

    Processing of LANDSAT-8 and LANDSAT-9 data
    Reading metadata file for each scene (*MTL.txt)
    Reprojection of scene (note: Bergen scenes have two UTM Zones; 31N and 32N)
    Cloud cover raster (see folder 01_CloudCover)
    Calculation Top-Of-Atmosphere (TOA) reflectance for bands 10 and 11 (TB_10 and TB_11), saving to folder 02_TOA-reflectance
    Calculating of NDVI and Fractional Vegetation Cover (FVC), saving to folder 03_FVC-NDVI
    Calculating of LSE for both bands, same as different and mean LSE (folder 04_LSE)
    Calculating of LST
    Saving of metadata file (see *metadata.txt)
    Klíčová slova: land and surface temperature * landsat * Prague * Bergen * Land surface emissivity
    Obor OECD: Meteorology and atmospheric sciences
    Trvalý link: https://hdl.handle.net/11104/0353010
    Vkladatel: admin
    Datum publikování: 17.4.2024
     
     
    Licence:
    Uveďte původ Mezinárodní licence
     
    ÚložištěPřístupKomentář
    Zenodo.orgpovolen
    Grant CEP: GA TA ČR(CZ) TO01000219
    Institucionální podpora: RVO:67985807
  3. 3.
    0585178 - ÚI DATA Vědecká data      2024
    Bauerová, P. - Šindelářová, A. - Keder, J. - Vlček, O. - Patiño, W. - Resler, Jaroslav - Krč, Pavel - Řezníček, Hynek - Geletič, Jan - Bureš, Martin - Eben, Kryštof - Belda, M. - Radović, J. - Fuka, V. - Jareš, R. - Ezau, I.

    TURDATA: a database of low-cost air quality and remote sensing measurements for the validation of micro-scale models in the real Prague urban environments.

    Popis: TURDATA is a supplementary data set for the TURBAN project Prague observation campaign described in the manuscript Bauerová et al. 2024 (submitted for publication). The measurement campaign focused on air pollution and meteorological measurement, including vertical profiles in selected part of Prague city centre called here as Legerova domain. Within this area, one professional meteorological station (MS) Prague Karlov and one reference traffic air quality monitoring (AIM) station Prague 2-Legerova (classified as traffic hotspot) are located. To gain high spatial and temporal resolution data, the supplementary measurement network was established, which consisted of:
    - 20 combined low-cost sensor (LCS) stations for monitoring of PM10, PM2.5, NO2 and O3 concentrations (using Plantower PMS7003 particle counters and Envea Cairsense electrochemical sensors) placed in different sites and different height levels AGL (higher = H, lower = L),
    - 1 mobile telescopic meteorological mast for measuring temperature, relative humidity, wind velocity and direction and air pressure (using 2D ultrasonic anemometer Gill WindSonic 60 and weather station Gill MetConnect THP),
    - 1 MTP-5-He microwave radiometer (MWR; Attex) for temperature vertical profile,
    - 1 StreamLine XR Doppler LIDAR (HALO Photonics) for wind vertical profile.
    Klíčová slova: air quality * monitoring * low-cost sensor network * street * LIDAR
    Obor OECD: Meteorology and atmospheric sciences
    Trvalý link: https://hdl.handle.net/11104/0352954
    Vkladatel: admin
    Datum publikování: 16.4.2024
     
     
    Licence:
    Uveďte původ Mezinárodní licence
     
    ÚložištěPřístupKomentář
    Zenodo.orgpovolen
    Grant CEP: GA TA ČR(CZ) TO01000219
    Institucionální podpora: RVO:67985807
  4. 4.
    0567160 - ÚI DATA Vědecká data      2023
    Geletič, Jan - Daniel, Milan - Krč, Pavel - Resler, Jaroslav - Kozhevnikov, S. - Svítek, M.

    Evropská Street Resiliency.

    Popis: Archiv s daty obsahuje výsledný index zranitelnosti pro letní simulaci současného stavu, tzv. basecase, a 5 scénářů možné zástavby. Každá simulace obsahuje 2 složky: mapy ve formátu PNG a rastrová GIS data ve formátu ASCII (s projekcí). Všechny hodnoty indexu jsou uvedené v absolutních hodnotách a zprůměrovány do 10-minutových, 1-hodinových, 3-hodinových a denních průměrů.
    [The data archive contains the vulnerability index results for the summer simulation of the current state, the so-called baseline, and 5 possible development scenarios. Each simulation contains 2 folders: maps in PNG format and GIS raster data in ASCII format (with geographical projection). All index values are given in absolute values and averaged into 10-min, 1-h, 3-h and daily averages.]
    Klíčová slova: PALM * zranitelnost * Evropská * tepelný komfort * znečištění ovzduší * vulnerability * Evropska Street * thermal comfort * air quality
    Obor OECD: Meteorology and atmospheric sciences
    DOI: https://doi.org/10.57680/0567160
    Handle: https://hdl.handle.net/11104/0338466
    Vkladatel: admin
    Datum publikování: 20.1.2023
     
    Publikace ASEP:
    Evropská Street Resiliency

     
         Licence: BY-NC-SA
     
    Název souboru StaženoVelikostKomentářPřístup
    NCK_Vulnerability-Evropska.zip Přehled souborů29873.4 MBpovolen
    Grant CEP: GA TA ČR(CZ) TN01000024
    Institucionální podpora: RVO:67985807
  5. 5.
    0541377 - ÚI DATA Vědecká data      2022
    Geletič, Jan - Lehnert, Michal

    Prostorové modelování horkých vln a letních klimatických indexů – výsledky.
    [Spatial modelling of heat waves and summer climate indices.]

    Popis: Mapy s prostorovým rozložením vybraných letních extrémních klimatických indexů, které budou znázorňovat prostorovou variabilitu indexů v závislosti na charakteristickém druhu land cover. Detailní popis struktury adresářů v archivu je popsán v přiloženém souboru.
    [Spatial modelling of summer climate indices based on urban-climate based classification and expected changes in the future climate of Brno, Prague and Ostrava.]
    Klíčová slova: urban climate * summer climate indices * maps
    Obor OECD: Meteorology and atmospheric sciences
    DOI: https://doi.org/10.57680/asep.0541377
    Handle: http://hdl.handle.net/11104/0318939
    Vkladatel: admin
    Datum publikování: 20.3.2022
     
    Publikace ASEP:
    Prostorové modelování horkých vln a letních klimatických indexů – výsledky

     
         Licence: BY-NC-SA
     
    Název souboru StaženoVelikostKomentářPřístup
    0541293+0541377.zip Přehled souborů21442.1 MBpovolen
    Grant CEP: GA TA ČR(CZ) TL01000238
    Institucionální podpora: RVO:67985807
  6. 6.
    0537176 - ÚI DATA Vědecká data      2021
    Resler, Jaroslav - Eben, Kryštof - Geletič, Jan - Krč, Pavel - Rosecký, Martin - Sühring, M. - Belda, M. - Fuka, V. - Halenka, T. - Huszár, P. - Karlický, J. - Benešová, N. - Ďoubalová, J. - Honzáková, K. - Keder, J. - Nápravníková, Š. - Vlček, O.

    Validation of the PALM model system 6.0 in real urban environment: case study of Prague-Dejvice, Czech Republic.

    Popis: This archive contains drivers and configurations for the PALM model validation study done with observation campaign done in Prague-Dejvice in 2018 and described in GMD paper https://gmd.copernicus.org/preprints/gmd-2020-175/. The input drivers follow PALM input data standard which is described on the model website (https://palm.muk.uni-hannover.de/trac/wiki/doc/app/iofiles/pids). The simulations are configured with two nested domains, the files for the parent domain are without a sufix, the child domain related files have a sufix "_N02". The static input files (*static*) contain all static information, such as topography, geographical coordinates, surface and vegetation information. The dynamic input files (*dynamic*) contain information on the initial state of the atmosphere and on time-dependent boundary conditions. The chemistry input files (*emission*) contain information on temporally and spatially dependent emission of chemical species. The *p3d* files contain configuration of the model.
    Klíčová slova: drivers * static * dynamic * emission * radiation * PALM * input data
    Obor OECD: Meteorology and atmospheric sciences
    DOI: https://doi.org/10.57680/asep.0537176
    Handle: http://hdl.handle.net/11104/0315416
    Vkladatel: admin
    Datum publikování: 14.1.2021
     
    Publikace ASEP:
    Validation of the PALM model system 6.0 in real urban environment: case study of Prague-Dejvice, Czech Republic
    Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic

     
         Licence: BY-NC-ND
     
    Název souboru StaženoVelikostKomentářPřístup
    Resler_GMD-2020-175.zip Přehled souborů4959.1 GBpovolen
    Grant CEP: GA KHP(CZ) UH0383
    Institucionální podpora: RVO:67985807
  7. 7.
    0525499 - ÚI DATA Vědecká data      2020
    Belda, M. - Eben, Kryštof - Fuka, V. - Geletič, Jan - Kanani-Sühring, F. - Krč, Pavel - Maronga, B. - Resler, Jaroslav - Benešová, N. - Sühring, M. - Auvinen, M. - Kurppa, M.

    Sensitivity Analysis of the PALM Model System 6.0 in the Urban Environment.

    Popis: These two archives contains graps and maps for all sensitivity scenarios briefely described in paper submitted to the journal Geoscientific Model Development (manuscript ID: gmd-2020-126). There were analyzed 5 variables in total (air temperature, surface temperature, mean radiant temperature – MRT, physiological equivalent temperature – PET and PM10). Maps are processed as the differences from the base simulation and as a absolute value. Moreover, selected averages were plotted (01, 03 and 24h).
    Klíčová slova: Large-eddy simulation (LES) * meteorology * sensitivity * PALM
    Obor OECD: Meteorology and atmospheric sciences
    DOI: https://doi.org/10.57680/asep.0525499
    Handle: http://hdl.handle.net/11104/0309669
    Vkladatel: admin
    Datum publikování: 13.7.2020
     
    Publikace ASEP:
    Sensitivity Analysis of the PALM Model System 6.0 in the Urban Environment
    Validation of the PALM model system 6.0 in real urban environment: case study of Prague-Dejvice, Czech Republic
    Importance of radiative transfer processes in urban climate models: A study based on the PALM model system 6.0
    Radiative Transfer Model 3.0 integrated into the PALM model system 6.0
    Sensitivity analysis of the PALM model system 6.0 in the urban environment
    Sensitivity Analysis of the PALM Model System 6.0 in the Urban Environment
    Grant CEP: GA KHP(CZ) UH0383
    Grant ostatní: Ga MŠk(CZ) LM2015070
    Institucionální podpora: RVO:67985807


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