Articles | Volume 14, issue 8
https://doi.org/10.5194/gmd-14-4797-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-4797-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model evaluation paper
| 
03 Aug 2021
Model evaluation paper |
| 03 Aug 2021
| 03 Aug 2021
Validation of the PALM model system 6.0 in a real urban environment: a case study in Dejvice, Prague, the Czech Republic
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Kryštof Eben
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Jan Geletič
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Pavel Krč
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Martin Rosecký
Institute of Computer Science of the Czech Academy of Sciences, Prague, Czech Republic
Matthias Sühring
Institute of Meteorology and Climatology, Leibniz University Hannover, Hanover, Germany
Michal Belda
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Vladimír Fuka
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Tomáš Halenka
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Peter Huszár
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Jan Karlický
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Nina Benešová
Czech Hydrometeorological Institute, Prague, Czech Republic
Jana Ďoubalová
Department of Atmospheric Physics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic
Czech Hydrometeorological Institute, Prague, Czech Republic
Kateřina Honzáková
Czech Hydrometeorological Institute, Prague, Czech Republic
Josef Keder
Czech Hydrometeorological Institute, Prague, Czech Republic
Šárka Nápravníková
Czech Hydrometeorological Institute, Prague, Czech Republic
Ondřej Vlček
Czech Hydrometeorological Institute, Prague, Czech Republic
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Pavel Krč, Jaroslav Resler, Matthias Sühring, Sebastian Schubert, Mohamed H. Salim, and Vladimír Fuka
Geosci. Model Dev., 14, 3095–3120, https://doi.org/10.5194/gmd-14-3095-2021, https://doi.org/10.5194/gmd-14-3095-2021, 2021
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An atmospheric chemistry model has been implemented in the microscale PALM model system 6.0. This article provides a detailed description of the model, its structure, input requirements, various features and limitations. Several pre-compiled ready-to-use chemical mechanisms are included in the chemistry model code; however, users can also easily implement other mechanisms. A case study is presented to demonstrate the application of the new chemistry model in the urban environment.
Yilin Chen, Huizhong Shen, Jennifer Kaiser, Yongtao Hu, Shannon L. Capps, Shunliu Zhao, Amir Hakami, Jhih-Shyang Shih, Gertrude K. Pavur, Matthew D. Turner, Daven K. Henze, Jaroslav Resler, Athanasios Nenes, Sergey L. Napelenok, Jesse O. Bash, Kathleen M. Fahey, Gregory R. Carmichael, Tianfeng Chai, Lieven Clarisse, Pierre-François Coheur, Martin Van Damme, and Armistead G. Russell
Atmos. Chem. Phys., 21, 2067–2082, https://doi.org/10.5194/acp-21-2067-2021, https://doi.org/10.5194/acp-21-2067-2021, 2021
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Ammonia (NH3) emissions can exert adverse impacts on air quality and ecosystem well-being. NH3 emission inventories are viewed as highly uncertain. Here we optimize the NH3 emission estimates in the US using an air quality model and NH3 measurements from the IASI satellite instruments. The optimized NH3 emissions are much higher than the National Emissions Inventory estimates in April. The optimized NH3 emissions improved model performance when evaluated against independent observation.
Jan Karlický, Peter Huszár, Tereza Nováková, Michal Belda, Filip Švábik, Jana Ďoubalová, and Tomáš Halenka
Atmos. Chem. Phys., 20, 15061–15077, https://doi.org/10.5194/acp-20-15061-2020, https://doi.org/10.5194/acp-20-15061-2020, 2020
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Cities are characterized by their impact on various meteorological variables. Our study aims to generalize these modifications into a single phenomenon – the urban meteorology island (UMI). A wide ensemble of Weather Research and Forecasting (WRF) and Regional Climate Model (RegCM) simulations investigated urban-induced modifications as individual UMI components. Significant changes are found in most of the discussed meteorological variables with a strong impact of specific model simulations.
Wieke Heldens, Cornelia Burmeister, Farah Kanani-Sühring, Björn Maronga, Dirk Pavlik, Matthias Sühring, Julian Zeidler, and Thomas Esch
Geosci. Model Dev., 13, 5833–5873, https://doi.org/10.5194/gmd-13-5833-2020, https://doi.org/10.5194/gmd-13-5833-2020, 2020
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For realistic microclimate simulations in urban areas with PALM 6.0, detailed description of surface types, buildings and vegetation is required. This paper shows how such input data sets can be derived with the example of three German cities. Various data sources are used, including remote sensing, municipal data collections and open data such as OpenStreetMap. The collection and preparation of input data sets is tedious. Future research aims therefore at semi-automated tools to support users.
Peter Huszar, Jan Karlický, Jana Ďoubalová, Tereza Nováková, Kateřina Šindelářová, Filip Švábik, Michal Belda, Tomáš Halenka, and Michal Žák
Atmos. Chem. Phys., 20, 11655–11681, https://doi.org/10.5194/acp-20-11655-2020, https://doi.org/10.5194/acp-20-11655-2020, 2020
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The paper shows how extreme meteorological conditions change due to the urban land-cover forcing and how this translates to the impact on the extreme air pollution over central European cities. It focuses on ozone, nitrogen dioxide, and particulate matter with a diameter of less than 2.5 μm and shows that, while for the extreme daily maximum 8 h ozone, changes are same as for the mean ones, much larger modifications are calculated for extreme NO2 and PM2.5 compared to their mean changes.
Cited articles
Belda, M., Resler, J., Geletič, J., Krč, P., Maronga, B., Sühring, M., Kurppa, M., Kanani-Sühring, F., Fuka, V., Eben, K., Benešová, N., and Auvinen, M.: Sensitivity analysis of the PALM model system 6.0 in the urban environment, Geosci. Model Dev., 14, 4443–4464, https://doi.org/10.5194/gmd-14-4443-2021, 2021. a, b, c, d
Bougeault, P. and Lacarrère, P.: Parameterization of Orography-Induced Turbulence in a Mesobeta-Scale Model, Mon. Weather Rev., 117, 1872–1890,
https://doi.org/10.1175/1520-0493(1989)117<1872:POOITI>2.0.CO;2, 1989. a
Briscolini, M., and Santangelo, P.: Development of the mask method for incompressible unsteady flows, J. Comp. Phys., 84, 57–75,
https://doi.org/10.1016/0021-9991(89)90181-2, 1989. a
Britter, R. and Schatzmann, M.: Model Evaluation Guidance and Protocol
Document, COST Office Brussels, Brussels/Belgium, 28 pp., ISBN 3-00-018312-4, 2007. a
Brugger, P., Banerjee, T., De Roo, F., Kröniger, K., Qubaja, R., Rohatyn, S., Rotenberg, E., Tatarinov, F., Yakir, D., Yang, F., and Mauder, M.: Effect of Surface Heterogeneity on the Boundary-Layer Height: A Case Study at a Semi-Arid Forest, Bound.-Lay. Meteorol., 169, 233–250,
https://doi.org/10.1007/s10546-018-0371-5, 2018.
Byun, D. W.: Dynamically Consistent Formulations in Meteorological and Air Quality Models for Multiscale Atmospheric Studies. Part II: Mass Conservation Issues, J. Atmos. Sci., 56, 3808–3820,
https://doi.org/10.1175/1520-0469(1999)056<3808:DCFIMA>2.0.CO;2, 1999. a
Carslaw, D. C. and Ropkins, K.: openair – an R package for air quality data analysis, Environ. Modell. Softw., 27–28, 52–61,
https://doi.org/10.1016/j.envsoft.2011.09.008, 2012. a
Chang, J. and Hanna, S.: Air quality model performance evaluation, Meteorol. Atmos. Phys., 87, 167–196,
https://doi.org/10.1007/s00703-003-0070-7, 2004. a, b
Chen, F. and Dudhia, J.: Coupling an advanced land-surface/ hydrology model with the Penn State/ NCAR MM5 modeling system. Part I: Model description and implementation, Mon. Weather Rev., 129, 569–585,
https://doi.org/10.1175/1520-0493(2001)129<0569:CAALSH>2.0.CO;2, 2001. a
Ching, J., Rotunno, R., LeMone, M., Martilli, A., Kosovic, B., Jimenez, P. A., and Dudhia, J.: Convectively Induced Secondary Circulations in Fine-Grid Mesoscale Numerical Weather Prediction Models, Mon. Weather Rev., 142, 3284–3302,
https://doi.org/10.1175/MWR-D-13-00318.1, 2014. a
ČHMÚ (Czech Hydrometeorological Institute): Measurements of air quality and micrometeorology in street canyons in Prague 6 – Dejvice, 2018. Campaign within the Urbi Pragensi project financed from the Operational Programme Prague – Growth Pole of the Czech Republic, project No. CZ.07.1.02/0.0/0.0/16_040/0000383, ČHMÚ’s Technical document No. TD 000129, Prague, Czech Rep., 2020. a
Deardorff, J. W.: Stratocumulus-capped mixed layers derived from a three-dimensional model, Bound.-Lay. Meteorol., 18, 495–527,
https://doi.org/10.1007/BF00119502, 1980. a
Denier van der Gon, H., Hendriks, C., Kuenen, J., Segers, A., and Visschedijk, A.: Description of current temporal emission patterns and sensitivity of predicted AQ for temporal emission patterns. EU FP7 MACC deliverable report D_D-EMIS_1.3, available at:
https://atmosphere.copernicus.eu/sites/default/files/2019-07/MACC_TNO_del_1_3_v2.pdf (last access: 28 June 2021), 2011. a
Ďoubalová, J., Huszár, P., Eben, K., Benešová, N., Belda, M., Vlček, O., Karlický, J., Geletič, J., and Halenka, T.: High Resolution Air Quality Forecasting Over Prague within the URBI PRAGENSI Project: Model Performance During the Winter Period and the Effect of Urban Parameterization on PM, Atmosphere, 11, 625, https://doi.org/10.3390/atmos11060625, 2020. a
ENVIRON, CAMx User’s Guide, Comprehensive Air Quality model with Extensions, version 6.50,
Novato, California, available at: https://www.camx.com, (last access: 28 June 2021), 2018. a
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., and Taylor, K. E.: Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization, Geosci. Model Dev., 9, 1937–1958, https://doi.org/10.5194/gmd-9-1937-2016, 2016. a
FLIR: FLIR SC660 R and D INFRARED CAMERA SYSTEM, Product leaflet, available at:
https://www.flir.eu/support/products/t660 (last access: 28 June 2021), 2008. a
Gehrke, K. F., Sühring, M., and Maronga, B.: Modeling of land-surface interactions in the PALM model system 6.0: Land surface model description, first evaluation, and sensitivity to model parameters, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2020-197, in review, 2020. a, b, c
Geletič, J., Lehnert, M., Savić, S., and Milošević, D.: Modelled spatiotemporal variability of outdoor thermal comfort in local climate zones of the city of Brno, Czech Republic, Sci. Total Environ., 624, 385–395,
https://doi.org/10.1016/j.scitotenv.2017.12.076, 2018. a
Geletič, J., Lehnert, M., Krč, P., Resler, J., and Krayenhoff, E. S.: High-Resolution Modelling of Thermal Exposure during a Hot Spell: A Case Study Using PALM-4U in Prague, Czech Republic, Atmosphere, 12, 175,
https://doi.org/10.3390/atmos12020175, 2021. a
Giorgi, F., Jones, C., and Asrar, G.: Addressing climate information needs at the regional level: the CORDEX framework, WMO Bulletin, 58, 175–183, 2009. a
Gutowski Jr., W. J., Giorgi, F., Timbal, B., Frigon, A., Jacob, D., Kang, H.-S., Raghavan, K., Lee, B., Lennard, C., Nikulin, G., O'Rourke, E., Rixen, M., Solman, S., Stephenson, T., and Tangang, F.: WCRP COordinated Regional Downscaling EXperiment (CORDEX): a diagnostic MIP for CMIP6, Geosci. Model Dev., 9, 4087–4095, https://doi.org/10.5194/gmd-9-4087-2016, 2016. a
Halenka, T., Belda, M., Huszar, P., Karlicky, J., Novakova, T., and Zak, M.: On the comparison of urban canopy effects parameterisation, Int. J. Environ. Pollut., 65, 1–3,
https://doi.org/10.1504/IJEP.2019.101840, 2019. a
Heldens, W., Burmeister, C., Kanani-Sühring, F., Maronga, B., Pavlik, D., Sühring, M., Zeidler, J., and Esch, T.: Geospatial input data for the PALM model system 6.0: model requirements, data sources and processing, Geosci. Model Dev., 13, 5833–5873, https://doi.org/10.5194/gmd-13-5833-2020, 2020. a
Hellsten, A., Ketelsen, K., Sühring, M., Auvinen, M., Maronga, B., Knigge, C., Barmpas, F., Tsegas, G., Moussiopoulos, N., and Raasch, S.: A nested multi-scale system implemented in the large-eddy simulation model PALM model system 6.0, Geosci. Model Dev., 14, 3185–3214, https://doi.org/10.5194/gmd-14-3185-2021, 2021. a, b, c
Hong, S.-Y., Noh, Y., and Dudhia, J.: A new vertical diffusion package with an explicit treatment of entrainment processes, Mon. Weather Rev., 134, 2318–2341,
https://doi.org/10.1175/MWR3199.1, 2006. a
Hukseflux: TRSYS01 heat flux measuring system, available at: https://www.hukseflux.com/products/heat-flux-sensors/heat-flux-measuring-systems/trsys01-heat-flux-measuring-system (last access: 28 June 2021), 2020. a
Huszár, P., Karlický, J., Belda, M., Halenka, T., and Pišoft, P.: The impact of urban canopy meteorological forcing on summer photochemistry, Atmos. Environ., 176, 209–228, https://doi.org/10.1016/j.atmosenv.2017.12.037, 2018a. a
Huszar, P., Belda, M., Karlický, J., Bardachova, T., Halenka, T., and Pisoft, P.: Impact of urban canopy meteorological forcing on aerosol concentrations, Atmos. Chem. Phys., 18, 14059–14078, https://doi.org/10.5194/acp-18-14059-2018, 2018b. a
Huszar, P., Karlický, J., Ďoubalová, J., Šindelářová, K., Nováková, T., Belda, M., Halenka, T., Žák, M., and Pišoft, P.: Urban canopy meteorological forcing and its impact on ozone and PM2.5: role of vertical turbulent transport, Atmos. Chem. Phys., 20, 1977–2016, https://doi.org/10.5194/acp-20-1977-2020, 2020a. a
Huszar, P., Karlický, J., Ďoubalová, J., Nováková, T., Šindelářová, K., Švábik, F., Belda, M., Halenka, T., and Žák, M.: The impact of urban land-surface on extreme air pollution over central Europe, Atmos. Chem. Phys., 20, 11655–11681, https://doi.org/10.5194/acp-20-11655-2020, 2020b. a
Iacono, M. J., Delamere, J. S., Mlawer, E. J., Shephard, M. W., Clough, S. A., and Collins, W. D.: Radiative forcing by long‐lived greenhouse gases: Calculations with the AER radiative transfer models, J. Geophys. Res., 113, D13103,
https://doi.org/10.1029/2008JD009944, 2008. a
IPCC: Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Field, C. B., Barros, V. R., Dokken, D. J., Mach, K. J., Mastrandrea, M. D., Bilir, T. E., Chatterjee, M., Ebi, K. L., Estrada, Y. O., Genova, R. C., Girma, B., Kissel, E. S., Levy, A. N., MacCracken, S., Mastrandrea, P. R., and White, L. L., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 1132 pp.,
https://doi.org/10.1017/CBO9781107415379, 2014a. a
IPCC: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Edenhofer, O., Pichs-Madruga, R., Sokona, Y., Farahani, E., Kadner, S., Seyboth, K., Adler, A., Baum, I., Brunner, S., Eickemeier, P., Kriemann, B., Savolainen, J., Schlömer, S., von Stechow, C., Zwickel, T., and Minx, J. C., Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA,
https://doi.org/10.1017/CBO9781107415416, 2014b. a
Kadasch, E., Sühring, M., Gronemeier, T., and Raasch, S.: Mesoscale nesting interface of the PALM model system 6.0, Geosci. Model Dev. Discuss. [preprint], https://doi.org/10.5194/gmd-2020-285, in review, 2020. a, b, c
Khan, B., Banzhaf, S., Chan, E. C., Forkel, R., Kanani-Sühring, F., Ketelsen, K., Kurppa, M., Maronga, B., Mauder, M., Raasch, S., Russo, E., Schaap, M., and Sühring, M.: Development of an atmospheric chemistry model coupled to the PALM model system 6.0: implementation and first applications, Geosci. Model Dev., 14, 1171–1193, https://doi.org/10.5194/gmd-14-1171-2021, 2021. a
Krč, P., Resler, J., Sühring, M., Schubert, S., Salim, M. H., and Fuka, V.: Radiative Transfer Model 3.0 integrated into the PALM model system 6.0, Geosci. Model Dev., 14, 3095–3120, https://doi.org/10.5194/gmd-14-3095-2021, 2021. a, b, c
Lee, G.-J., Muñoz-Esparza, D., Yi, Ch., and Choe, H. J.: Application of the Cell Perturbation Method to Large-Eddy Simulations of a Real Urban Area, J. Appl. Meteorol. Clim., 58, 1125–1139,
https://doi.org/10.1175/JAMC-D-18-0185.1, 2018. a
Lemonsu, A., Bélair, S., Mailhot, J., Benjamin, M., Morneau, G., Harvey, B., Chagnon, F., Jean, M., and Voogt, J.: Overview and First Results of the Montreal Urban Snow Experiment 2005, J. Appl. Meteorol. Clim., 47, 59–75,
https://doi.org/10.1175/2007JAMC1639.1, 2008. a
Liu, Y. S., Miao, S. G., Zhang, C. L., Cui, G. X., and Zhang, Z. S.: Study on micro-atmospheric environment by coupling large eddy simulation with mesoscale model, J. Wind Eng. Ind. Aerod., 107–108, 106–117,
https://doi.org/10.1016/j.jweia.2012.03.033, 2012. a
Maggiotto, G., Buccolieri, R., Santo, M. A., Leo, L. S., and Di Sabatino, S.: Validation of temperature-perturbation and CFD-based modelling for the prediction of the thermal urban environment, Environ. Modell. Softw., 60, 69–83,
https://doi.org/10.1016/j.envsoft.2014.06.001, 2014. a
Maronga, B., Gryschka, M., Heinze, R., Hoffmann, F., Kanani-Sühring, F., Keck, M., Ketelsen, K., Letzel, M. O., Sühring, M., and Raasch, S.: The Parallelized Large-Eddy Simulation Model (PALM) version 4.0 for atmospheric and oceanic flows: model formulation, recent developments, and future perspectives, Geosci. Model Dev., 8, 2515–2551, https://doi.org/10.5194/gmd-8-2515-2015, 2015. a, b
Maronga, B., Banzhaf, S., Burmeister, C., Esch, T., Forkel, R., Fröhlich, D., Fuka, V., Gehrke, K. F., Geletič, J., Giersch, S., Gronemeier, T., Groß, G., Heldens, W., Hellsten, A., Hoffmann, F., Inagaki, A., Kadasch, E., Kanani-Sühring, F., Ketelsen, K., Khan, B. A., Knigge, C., Knoop, H., Krč, P., Kurppa, M., Maamari, H., Matzarakis, A., Mauder, M., Pallasch, M., Pavlik, D., Pfafferott, J., Resler, J., Rissmann, S., Russo, E., Salim, M., Schrempf, M., Schwenkel, J., Seckmeyer, G., Schubert, S., Sühring, M., von Tils, R., Vollmer, L., Ward, S., Witha, B., Wurps, H., Zeidler, J., and Raasch, S.: Overview of the PALM model system 6.0, Geosci. Model Dev., 13, 1335–1372, https://doi.org/10.5194/gmd-13-1335-2020, 2020. a, b, c, d, e, f
Masson, V., Gomes, L., Pigeon, G., Liousse, C., Pont, V., Lagouarde, J.-P., Voogt, J., Salmond, J., Oke, T. R., Hidalgo, J., Legain, D., Garrouste, O., Lac, C., Connan,O., Briottet X., and Lachérade, S.: The Canopy and Aerosol Particles Interactions in TOulouse Urban Layer (CAPITOUL) experiment, Meteorol. Atmos. Phys., 102, 3–4, 135–157,
https://doi.org/10.1007/s00703-008-0289-4, 2008. a
Masson, V., Heldens, W., Bocher, E., Bonhomme, M., Bucher, B., Burmeister, C., deMunck, C., Esch, T., Hidalgo, J., Kanani-Sühring, F., and Kwok, Y. T.: City-de-scriptive input data for urban climate models: model requirements, data sources and challenges, Urban Clim., 31, 100536,
https://doi.org/10.1016/j.uclim.2019.100536, 2020. a
Mazzaro, L. J., Muñoz-Esparza, D., Lundquist, J. K., and Linn, R. R.: Nested mesoscale-to-LES modeling of the atmospheric boundary layer in the presence of under-resolved convective structures, J. Adv. Model. Earth Sy., 9, 1795–1810,
https://doi.org/10.1002/2017MS000912, 2017. a
Moeng, C.-H. and Wyngaard, J. C.: Spectral analysis of large-eddy simulations of the convective boundary layer, J. Atmos. Sci., 45, 3573–3587,
https://doi.org/10.1175/1520-0469(1988)045<3573:SAOLES>2.0.CO;2, 1988. a
Mõttus, M., Sulev, M., Lang, M., and Wyngaard, J. C.: Estimation of crown volume for a geometric radiation model from detailed measurements of tree structure, Ecol. Model., 198, 506–514,
https://doi.org/10.1016/j.ecolmodel.2006.05.033, 2006. a
Muñoz‐Esparza, D., Lundquist, J. K., Sauer, J. A., Kosović, B., and Linn, R. R.: Coupled mesoscale‐LES modeling of a diurnal cycle during the CWEX ‐13 field campaign: From weather to boundary‐layer eddies, J. Adv. Model. Earth Sy., 9, 1572–1594,
https://doi.org/10.1002/2017MS000960, 2017.
Mutani, G. and Fiermonte, F.: Microclimate models for a sustainable and liveable urban planning, in: Topics and Methods for Urban and Landscape Design, edited by: Ingaramo, R. and Voghera, A., Springer International Publishing, 183–209,
https://doi.org/10.1007/978-3-319-51535-9, 2017. a
Nenes, A., Pandis, S. N., and Pilinis, C.: ISORROPIA: a new thermodynamic equilibrium model for multiphase multicomponent inorganic aerosols, Aquat. Geochem., 4, 123–152,
https://doi.org/10.1023/A:1009604003981, 1998. a
Novák, J., Jiřina, M., and Benešová, M.: Projekt TDD–ČR, Popis modelu TDD verze 3.9, Výzkumná zpráva č. V-1261, Ústav Informatiky AV ČR, v.v.i., Prague, Czech Republic, available at:
https://www.ote-cr.cz/en/documentation/gas-documentation/tdd-documentation?set_language=en (last access: 28 June 2021), 2019., a
Nozu, T., Tamura, T., Okuda, Y., and Sanada, S.: LES of the flow and building wall pressures in the center of Tokyo, J. Wind Eng. Ind. Aerod., 96, 1762–1773,
https://doi.org/10.1016/j.jweia.2008.02.028, 2008. a
OTE: Normalizované typové diagramy dodávek plynu, available at: https://www.ote-cr.cz/cs/statistika/typove-diagramy-dodavek-plynu/normalizovane-tdd (last access: 28 June 2021), 2020. a
PALM: The PALM model system web pages, available at:
http://palm-model.org, last access: July 2021. a
Prague Geoportal: Prague geographic data in one place, available at:
https://www.geoportalpraha.cz/en (last access: 28 June 2021), 2020. a
Qu, Y., Milliez, M., Musson-Genon, L., and Carissimo, B.: 3D Radiative and Convective Modeling of Urban Environment: An Example for the City Center of Toulouse, in: Air Pollution Modeling and its Application XXII, edited by: Steyn, D., Builtjes, P., and Timmermans, R., NATO Science for Peace and Security Series C: Environmental Security, Springer, Dordrecht, 727–731,
https://doi.org/10.1007/978-94-007-5577-2_123, 2013. a
Resler, J., Krč, P., Belda, M., Juruš, P., Benešová, N., Lopata, J., Vlček, O., Damašková, D., Eben, K., Derbek, P., Maronga, B., and Kanani-Sühring, F.: PALM-USM v1.0: A new urban surface model integrated into the PALM large-eddy simulation model, Geosci. Model Dev., 10, 3635–3659, https://doi.org/10.5194/gmd-10-3635-2017, 2017. a, b, c, d, e, f
Resler, J., Eben, K., Geletič, J., Krč, P., Rosecký, M., Sühring, M., Belda, M., Fuka, V., Halenka, T., Huszár, P., Karlický, J., Benešová, N., Ďoubalová, J., Honzáková, K., Keder, J., Nápravníková, Š., and Vlček, O.: Dataset: PALM 6.0 revision 4508, Research Data Repository of the Leibniz University of Hannover [code], https://doi.org/10.25835/0073713, 2020a. a
Resler, J., Eben, K., Geletič, J., Krč, P., Rosecký, M., Sühring, M., Belda, M., Fuka, V., Halenka, T., Huszár, P., Karlický, J., Benešová, N., Ďoubalová, J., Honzáková, K., Keder, J., Nápravníková, Š., and Vlček, O.: : Dataset: Validation of the PALM model system 6.0 in real urban environment; case study of Prague-Dejvice, Czech Republic. ASEP [data set], http://hdl.handle.net/11104/0315416, 2020b. a
Rotach, M. W., Vogt, R., Bernhofer, C., Batchvarova, E., Christen, A., Clappier, A., Feddersen, B., Gryning, S-E., Martucci, G., Mayer, H., Mitev, V., Oke, T. R., Parlow, E., Richner, H., Roth, M., Roulet, Y.-A., Ruffieux, D., Salmond, J. A., Schatzmann, M., and Voogt, J. A.: BUBBLE – an urban boundary layer meteorology project. Theor. Appl. Climatol., 81, 231–261,
https://doi.org/10.1007/s00704-004-0117-9, 2005. a
ROTRONIC: HC2A-S – Humidity Probe, available at:
https://www.rotronic.com/en/hc2a-s.html (last access: 28 June 2021), 2020. a
Saiki, E. M., Moeng, C.-H., and Sullivan, P. P.: Large-eddy simulation of the stably stratified planetary boundary layer, Bound.-Lay. Meteorol., 95, 1–30,
https://doi.org/10.1023/A:1002428223156, 2000. a
Seinfeld, J. H. and Pandis, S. N.: Atmospheric Chemistry and Physics: From Air Pollution to Climate Change, J. Wiley, New York, 1152 pp., ISBN: 978-1-118-94740-1, 1998. a
Shaded Relief geoportal: Terrain, maps, and more, available at:
http://www.shadedrelief.com (last access: 28 June 2021), 2020.
Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Barker, D., Duda, M. G., Huang, X.-Y., Wang, W., and Powers, J. G.: A Description of the Advanced Research WRF Version 3 (No. NCAR/TN-475+STR), University Corporation for Atmospheric Research, https://doi.org/10.5065/D68S4MVH, 2008. a
Stewart, I. D., and Oke, T. R.: Local climate zones for urban temperature studies, B. Am. Meteorol. Soc., 93, 1879–1900,
https://doi.org/10.1175/BAMS-D-11-00019.1, 2012.
Strader, R. Lurmann, F., and Pandis, S. N.: Evaluation of secondary organic aerosol formation in winter, Atmos. Environ., 33, 4849–4863,
https://doi.org/10.1016/S1352-2310(99)00310-6, 1999. a
Toparlar, Y., Blocken, B., Vos, P., van Heijst, G. J. F., Janssen, W. D., van Hooff, T., Montazen, H., and Timmermans, H. J. P.: CFD simulation and validation of urban microclimate: a case study for Bergpolder Zuid, Rotterdam, Build Environ., 83, 79–90,
https://doi.org/10.1016/j.buildenv.2014.08.004, 2015. a
TSK-ÚDI: Prague Transportation Yearbook 2017,
available at: http://www.tsk-praha.cz/static/udi-rocenka-2017-en.pdf (last access: 28 June 2021), 2018. a
United Nations, Department of Economic and Social Affairs, Population Division: World Urbanization Prospects: The 2018 Revision, New York, 126 pp., ISBN 978-92-1-148319-2, 2019. a
Wicker, L. J. and Skamarock, W. C.: Time-Splitting Methods for Elastic Models Using Forward Time Schemes, Mon. Weather Rev., 130, 2088–2097,
https://doi.org/10.1175/1520-0493(2002)130<2088:TSMFEM>2.0.CO;2, 2002. a
Williamson, J. H.: Low-storage Runge-Kutta schemes, J. Comput. Phys., 35, 48–56,
https://doi.org/10.1016/0021-9991(80)90033-9, 1980. a
Xie, Z.-T. and Castro, I. P.: Efficient Generation of Inflow Conditions for Large Eddy Simulation of Street-Scale Flows, Flow
Turbul. Combust., 81, 449–470,
https://doi.org/10.1007/s10494-008-9151-5, 2008.
a
Yarwood, G., Rao, S., Yocke, M., and Whitten, G. Z.: Updates to the Carbon Bond chemical mechanism: CB05, Final Report prepared for US EPA, Novato, NC, USA, available at:
https://www.camx.com/Files/CB05_Final_Report_120805.pdf (last access: 28 June 2021), 2005. a
Zhang, L., Brook, J. R., and Vet, R.: A revised parameterization for gaseous dry deposition in air-quality models, Atmos. Chem. Phys., 3, 2067–2082, https://doi.org/10.5194/acp-3-2067-2003, 2003. a
Zhou, B., Simon, J. S., and Chow, F. K.: The Convective Boundary Layer in the Terra Incognita, J. Atmos. Sci., 71, 2545–2563,
https://doi.org/10.1175/JAS-D-13-0356.1, 2014. a
Short summary
We describe validation of the PALM model v6.0 against measurements collected during two observational campaigns in Dejvice, Prague. The study focuses on the evaluation of the newly developed or improved radiative and energy balance modules in PALM related to urban modelling. In addition to the energy-related quantities, it also evaluates air flow and air quality under street canyon conditions.
We describe validation of the PALM model v6.0 against measurements collected during two...
