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Building-resolving large-eddy simulations for entire Berlin (Germany) – first results using the high-performance urban microscale model PALM-4U

Maronga, Björn and Raasch, Siegfried and Groß, Günter and Kanani-Sühring, Farah and Banzhaf, Sabine and Büter, Björn and Esch, Thomas and Forkel, Renate and Fröhlich, Dominik and Gronemeier, Tobias and Heldens, Wieke and Lang, Tobias and Hellsten, A and Kadasch, Eckhard and Khan, Basit and Ketelsen, K and Krč, P and Maamari, Halim and Matzarakis, Andreas and Mauder, Matthias and Meusel, G and Pallasch, M and Pavlik, Dirk and Pfaffenrott, J and Resler, J and Russo, E and Salim, MH and Schaap, M and Schneider, C and Schrempf, M and Schubert, S and Seckmeyer, G. and Sieker, H and Trusliova, K and von Tils, RH and Ward, S and Zeidler, Julian (2018) Building-resolving large-eddy simulations for entire Berlin (Germany) – first results using the high-performance urban microscale model PALM-4U. ICUC10, 6.-10. August 2018, New York, USA.

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Due to the increasing number of people living and/or working in dense urban environments, the importance of city planning in consideration of human health and comfort has been continuously growing. Health and comfort factors such as thermal comfort, air quality, ventilation and UV exposure, must be considered in a future-oriented development of urban regions. For decision support, urban climate models (UCM) are applied to model the effects of existing and planned building distributions, facade and city greening, etc., based on the above mentioned factors. A highly-efficient microscale UCM, PALM-4U, has been developed allowing simulations of large cities with grid-resolved buildings and vegetation canopy, which consider a large variety of processes important for urban environments. PALM-4U is part of the PALM model system (http://palm-model.org), which is based on the large-eddy simulation code PALM. While there exist numerous UCMs that have been used for over two decades and which are well established in the scientific community, they are difficult to adapt to state-of-the-art parallel computer systems and thus often have limitations in either performance and/or possible number of grid points. PALM-4U is able to compute entire city environments like Berlin (about 1 700 km²) at building-resolving grid spacing (here 10 m) on massively parallel computers, where limitations are mainly imposed by the available computational resources. It offers several features required in urban environments, such as an energy balance solver for urban and natural surfaces, radiative transfer in the urban canopy layer, chemical reactions, biometeorological analysis products, and self-nesting to allow high resolution (e.g. 1 m) in regions of special interest. In this presentation we will focus on an overview of PALM-4U's current and planned capabilities for application in urban environments. Besides, we will demonstrate PALM-4U's performance and features based on microscale building-resolving large-eddy simulation of entire Berlin (Germany, 1700 km²) at a grid spacing of 10 m, with a nested domain of size of 1 km² at a grid spacing of 1 m. The simulation spans a simulated period of a full diurnal cycle during a selected heat wave period and is characterized by low geostrophic winds and a strong solar forcing during daytime. General features of the simulation will be visualized. This presentation is intended to be the first in a series of presentations that all have a more specific focus on single features of PALM-4U and for which abstracts are submitted separately. In this overview talk we will thus focus on the more general features of the simulation.

Item URL in elib:https://elib.dlr.de/121678/
Document Type:Conference or Workshop Item (Speech)
Title:Building-resolving large-eddy simulations for entire Berlin (Germany) – first results using the high-performance urban microscale model PALM-4U
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Maronga, Björnmaronga (at) muk.uni-hannover.deUNSPECIFIED
Raasch, SiegfriedInstitute of Meteorology and Climatology, Leibniz Universität HannoverUNSPECIFIED
Groß, GünterUniversität HannoverUNSPECIFIED
Kanani-Sühring, FarahInstitute of Meteorology and Climatology, Leibniz Universität HannoverUNSPECIFIED
Banzhaf, Sabinesabine.banzhaf (at) met.fu-berlin.deUNSPECIFIED
Büter, Björnbueter (at) geo-net.deUNSPECIFIED
Esch, ThomasThomas.Esch (at) dlr.deUNSPECIFIED
Forkel, Renaterenate.forkel (at) kit.eduUNSPECIFIED
Fröhlich, Dominikdominik.froehlich (at) dwd.deUNSPECIFIED
Gronemeier, TobiasInstitute of Meteorology and Climatology, Leibniz Universität HannoverUNSPECIFIED
Heldens, WiekeWieke.Heldens (at) dlr.dehttps://orcid.org/0000-0001-6209-5664
Lang, TobiasUniversität OffenburgUNSPECIFIED
Hellsten, AFinnish Meteorological InstituteUNSPECIFIED
Khan, BasitKarlsruhe Institute of TechnologyUNSPECIFIED
Ketelsen, KSoftware ConsultantUNSPECIFIED
Krč, PCzech Academy of SciencesUNSPECIFIED
Maamari, Halimh.maamari (at) sieker.deUNSPECIFIED
Matzarakis, Andreasandreas.matzarakis (at) dwd.deUNSPECIFIED
Mauder, MatthiasKIT Institute for Meteorology and Climate Research, Atmospheric Environmental ResearchUNSPECIFIED
Meusel, GInstitute of Meteorology and Climatology, Leibniz Universität HannoverUNSPECIFIED
Pallasch, MIngenieurgesellschaft Prof. Dr. Sieker mbHUNSPECIFIED
Pavlik, Dirkpavlik (at) geo-net.deUNSPECIFIED
Pfaffenrott, JUniversität OffenburgUNSPECIFIED
Resler, JCzech Academy of SciencesUNSPECIFIED
Russo, EFreie Universität BerlinUNSPECIFIED
Salim, MHHumbold-Universität zu BerlinUNSPECIFIED
Schaap, MFreie Universität BerlinUNSPECIFIED
Schneider, CHumbold-Universität zu BerlinUNSPECIFIED
Schrempf, MInstitute of Meteorology and Climatology, Leibniz Universität HannoverUNSPECIFIED
Schubert, SHumbold-Universität zu BerlinUNSPECIFIED
Seckmeyer, G.Univ. Hannover, HannoverUNSPECIFIED
Sieker, HIngenieurgesellschaft Prof. Dr. Sieker mbHUNSPECIFIED
von Tils, RHUniversität HannoverUNSPECIFIED
Ward, SUniversität HannoverUNSPECIFIED
Zeidler, Julianjulian.zeidler (at) dlr.deUNSPECIFIED
Date:August 2018
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Keywords:urban climate model
Event Title:ICUC10
Event Location:New York, USA
Event Type:international Conference
Event Dates:6.-10. August 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - Remote Sensing and Geo Research
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Heldens, Dr Wieke
Deposited On:17 Sep 2018 12:54
Last Modified:31 Jul 2019 20:19

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