Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5833-2020
https://doi.org/10.5194/gmd-13-5833-2020
Development and technical paper
 | 
27 Nov 2020
Development and technical paper |  | 27 Nov 2020

Geospatial input data for the PALM model system 6.0: model requirements, data sources and processing

Wieke Heldens, Cornelia Burmeister, Farah Kanani-Sühring, Björn Maronga, Dirk Pavlik, Matthias Sühring, Julian Zeidler, and Thomas Esch

Related authors

Overview of the PALM model system 6.0
Björn Maronga, Sabine Banzhaf, Cornelia Burmeister, Thomas Esch, Renate Forkel, Dominik Fröhlich, Vladimir Fuka, Katrin Frieda Gehrke, Jan Geletič, Sebastian Giersch, Tobias Gronemeier, Günter Groß, Wieke Heldens, Antti Hellsten, Fabian Hoffmann, Atsushi Inagaki, Eckhard Kadasch, Farah Kanani-Sühring, Klaus Ketelsen, Basit Ali Khan, Christoph Knigge, Helge Knoop, Pavel Krč, Mona Kurppa, Halim Maamari, Andreas Matzarakis, Matthias Mauder, Matthias Pallasch, Dirk Pavlik, Jens Pfafferott, Jaroslav Resler, Sascha Rissmann, Emmanuele Russo, Mohamed Salim, Michael Schrempf, Johannes Schwenkel, Gunther Seckmeyer, Sebastian Schubert, Matthias Sühring, Robert von Tils, Lukas Vollmer, Simon Ward, Björn Witha, Hauke Wurps, Julian Zeidler, and Siegfried Raasch
Geosci. Model Dev., 13, 1335–1372, https://doi.org/10.5194/gmd-13-1335-2020,https://doi.org/10.5194/gmd-13-1335-2020, 2020
Short summary

Related subject area

Climate and Earth system modeling
Baseline Climate Variables for Earth System Modelling
Martin Juckes, Karl E. Taylor, Fabrizio Antonio, David Brayshaw, Carlo Buontempo, Jian Cao, Paul J. Durack, Michio Kawamiya, Hyungjun Kim, Tomas Lovato, Chloe Mackallah, Matthew Mizielinski, Alessandra Nuzzo, Martina Stockhause, Daniele Visioni, Jeremy Walton, Briony Turner, Eleanor O'Rourke, and Beth Dingley
Geosci. Model Dev., 18, 2639–2663, https://doi.org/10.5194/gmd-18-2639-2025,https://doi.org/10.5194/gmd-18-2639-2025, 2025
Short summary
PaleoSTeHM v1.0: a modern, scalable spatiotemporal hierarchical modeling framework for paleo-environmental data
Yucheng Lin, Robert E. Kopp, Alexander Reedy, Matteo Turilli, Shantenu Jha, and Erica L. Ashe
Geosci. Model Dev., 18, 2609–2637, https://doi.org/10.5194/gmd-18-2609-2025,https://doi.org/10.5194/gmd-18-2609-2025, 2025
Short summary
The Tropical Basin Interaction Model Intercomparison Project (TBIMIP)
Ingo Richter, Ping Chang, Ping-Gin Chiu, Gokhan Danabasoglu, Takeshi Doi, Dietmar Dommenget, Guillaume Gastineau, Zoe E. Gillett, Aixue Hu, Takahito Kataoka, Noel S. Keenlyside, Fred Kucharski, Yuko M. Okumura, Wonsun Park, Malte F. Stuecker, Andréa S. Taschetto, Chunzai Wang, Stephen G. Yeager, and Sang-Wook Yeh
Geosci. Model Dev., 18, 2587–2608, https://doi.org/10.5194/gmd-18-2587-2025,https://doi.org/10.5194/gmd-18-2587-2025, 2025
Short summary
ZEMBA v1.0: an energy and moisture balance climate model to investigate Quaternary climate
Daniel F. J. Gunning, Kerim H. Nisancioglu, Emilie Capron, and Roderik S. W. van de Wal
Geosci. Model Dev., 18, 2479–2508, https://doi.org/10.5194/gmd-18-2479-2025,https://doi.org/10.5194/gmd-18-2479-2025, 2025
Short summary
Development and evaluation of a new 4DEnVar-based weakly coupled ocean data assimilation system in E3SMv2
Pengfei Shi, L. Ruby Leung, and Bin Wang
Geosci. Model Dev., 18, 2443–2460, https://doi.org/10.5194/gmd-18-2443-2025,https://doi.org/10.5194/gmd-18-2443-2025, 2025
Short summary

Cited articles

Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland: 3D-Gebäudemodelle LoD1: Produktblatt, available at: http://www.adv-online.de/AdV-Produkte/Standards-und-Produktblaetter/Produktblaetter/binarywriterservlet?imgUid=fbe60187-4fe3-2b41-6ad4-1fd3072e13d6&uBasVariant=11111111-1111-1111-1111-111111111111 (last access: 30 August 2020), 2019a. a
Arbeitsgemeinschaft der Vermessungsverwaltungen der Länder der Bundesrepublik Deutschland: 3D-Gebäudemodelle LoD2: Produktblatt, available at: http://www.adv-online.de/AdV-Produkte/Standards-und-Produktblaetter/binarywriterservlet?imgUid=e9e60187-4fe3-2b41-6ad4-1fd3072e13d6&uBasVariant=11111111-1111-1111-1111-111111111111 (last access: 30 August 2020), 2019b. a
Baghdadi, N. and Zribi, M.: Optical remote sensing of land surfaces: Techniques and methods, Remote Sensing Observations of Continential Surfaces Set, Elsevier and ISTE Press, Oxford and London, https://doi.org/10.1016/C2015-0-01220-5, 2016. a
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. Discuss., https://doi.org/10.5194/gmd-2020-126, in review, 2020. a, b
Bocher, E., Petit, G., Bernard, J., and Palominos, S.: A geoprocessing framework to compute urban indicators: The MApUCE tools chain, Urban Climate, 24, 153–174, https://doi.org/10.1016/j.uclim.2018.01.008, 2018. a, b, c
Download
Short summary
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.
Share