Articles | Volume 12, issue 6
https://doi.org/10.5194/gmd-12-2523-2019
https://doi.org/10.5194/gmd-12-2523-2019
Development and technical paper
 | 
28 Jun 2019
Development and technical paper |  | 28 Jun 2019

Vertically nested LES for high-resolution simulation of the surface layer in PALM (version 5.0)

Sadiq Huq, Frederik De Roo, Siegfried Raasch, and Matthias Mauder

Related authors

An extension of the BROOK90 hydrological model for estimation of subdaily water and energy fluxes
Rico Kronenberg, Ivan Vorobevskii, Thi Thanh Luong, Uwe Spank, Dongkyun Kim, and Matthias Mauder
EGUsphere, https://doi.org/10.5194/egusphere-2025-2084,https://doi.org/10.5194/egusphere-2025-2084, 2025
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Quantifying evaporation of intercepted rainfall: a hybrid correction approach for eddy-covariance measurements
Stefanie Fischer, Ronald Queck, Christian Bernhofer, and Matthias Mauder
EGUsphere, https://doi.org/10.5194/egusphere-2025-2118,https://doi.org/10.5194/egusphere-2025-2118, 2025
This preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS).
Short summary
The ATMONSYS water vapor DIAL: Advanced measurements of short-term variability in the planetary boundary layer
Johannes Speidel, Hannes Vogelmann, Andreas Behrendt, Diego Lange, Matthias Mauder, Jens Reichardt, and Kevin Wolz
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-168,https://doi.org/10.5194/amt-2024-168, 2024
Revised manuscript accepted for AMT
Short summary
Comparing triple and single Doppler lidar wind measurements with sonic anemometer data based on a new filter strategy for virtual tower measurements
Kevin Wolz, Christopher Holst, Frank Beyrich, Eileen Päschke, and Matthias Mauder
Geosci. Instrum. Method. Data Syst., 13, 205–223, https://doi.org/10.5194/gi-13-205-2024,https://doi.org/10.5194/gi-13-205-2024, 2024
Short summary
Intercomparison of eddy-covariance software for urban tall-tower sites
Changxing Lan, Matthias Mauder, Stavros Stagakis, Benjamin Loubet, Claudio D'Onofrio, Stefan Metzger, David Durden, and Pedro-Henrique Herig-Coimbra
Atmos. Meas. Tech., 17, 2649–2669, https://doi.org/10.5194/amt-17-2649-2024,https://doi.org/10.5194/amt-17-2649-2024, 2024
Short summary

Related subject area

Atmospheric sciences
Improving winter condition simulations in SURFEX-TEB v9.0 with a multi-layer snow model and ice
Gabriel Colas, Valéry Masson, François Bouttier, Ludovic Bouilloud, Laura Pavan, and Virve Karsisto
Geosci. Model Dev., 18, 3453–3472, https://doi.org/10.5194/gmd-18-3453-2025,https://doi.org/10.5194/gmd-18-3453-2025, 2025
Short summary
UA-ICON with the NWP physics package (version ua-icon-2.1): mean state and variability of the middle atmosphere
Markus Kunze, Christoph Zülicke, Tarique A. Siddiqui, Claudia C. Stephan, Yosuke Yamazaki, Claudia Stolle, Sebastian Borchert, and Hauke Schmidt
Geosci. Model Dev., 18, 3359–3385, https://doi.org/10.5194/gmd-18-3359-2025,https://doi.org/10.5194/gmd-18-3359-2025, 2025
Short summary
Integrated Methane Inversion (IMI) 2.0: an improved research and stakeholder tool for monitoring total methane emissions with high resolution worldwide using TROPOMI satellite observations
Lucas A. Estrada, Daniel J. Varon, Melissa Sulprizio, Hannah Nesser, Zichong Chen, Nicholas Balasus, Sarah E. Hancock, Megan He, James D. East, Todd A. Mooring, Alexander Oort Alonso, Joannes D. Maasakkers, Ilse Aben, Sabour Baray, Kevin W. Bowman, John R. Worden, Felipe J. Cardoso-Saldaña, Emily Reidy, and Daniel J. Jacob
Geosci. Model Dev., 18, 3311–3330, https://doi.org/10.5194/gmd-18-3311-2025,https://doi.org/10.5194/gmd-18-3311-2025, 2025
Short summary
HTAP3 Fires: towards a multi-model, multi-pollutant study of fire impacts
Cynthia H. Whaley, Tim Butler, Jose A. Adame, Rupal Ambulkar, Steve R. Arnold, Rebecca R. Buchholz, Benjamin Gaubert, Douglas S. Hamilton, Min Huang, Hayley Hung, Johannes W. Kaiser, Jacek W. Kaminski, Christoph Knote, Gerbrand Koren, Jean-Luc Kouassi, Meiyun Lin, Tianjia Liu, Jianmin Ma, Kasemsan Manomaiphiboon, Elisa Bergas Masso, Jessica L. McCarty, Mariano Mertens, Mark Parrington, Helene Peiro, Pallavi Saxena, Saurabh Sonwani, Vanisa Surapipith, Damaris Y. T. Tan, Wenfu Tang, Veerachai Tanpipat, Kostas Tsigaridis, Christine Wiedinmyer, Oliver Wild, Yuanyu Xie, and Paquita Zuidema
Geosci. Model Dev., 18, 3265–3309, https://doi.org/10.5194/gmd-18-3265-2025,https://doi.org/10.5194/gmd-18-3265-2025, 2025
Short summary
Using a data-driven statistical model to better evaluate surface turbulent heat fluxes in weather and climate numerical models: a demonstration study
Maurin Zouzoua, Sophie Bastin, Fabienne Lohou, Marie Lothon, Marjolaine Chiriaco, Mathilde Jome, Cécile Mallet, Laurent Barthes, and Guylaine Canut
Geosci. Model Dev., 18, 3211–3239, https://doi.org/10.5194/gmd-18-3211-2025,https://doi.org/10.5194/gmd-18-3211-2025, 2025
Short summary

Cited articles

Anastopoulos, N., Nikunen, P., and Weinberg, V.: Best Practice Guide – SuperMUC v1.0. PRACE – Partnership for Advanced Computing in Europe 2013, available at: http://www.prace-ri.eu/best-practice-guide-supermuc-html (last access: 24 June 2019), 2013. a
Basu, S. and Lacser, A.: A Cautionary Note on the Use of Monin–Obukhov Similarity Theory in Very High-Resolution Large-Eddy Simulations, Bound.-Lay. Meteorol., 163, 351–355, https://doi.org/10.1007/s10546-016-0225-y, 2017. a
Boersma, B. J., Kooper, M. N., Nieuwstadt, F. T. M., and Wesseling, P.: Local grid refinement in large-eddy simulations, J. Eng. Math., 32, 161–175, https://doi.org/10.1023/A:1004283921077, 1997. a
Clark, T. L. and Farley, R. D.: Severe downslope windstorm calculations in two and three spatial dimensions using anelastic interactive grid nesting: A possible mechanism for gustiness, J. Atmos. Sci., 41, 329–350, https://doi.org/10.1175/1520-0469(1984)041<0329:SDWCIT>2.0.CO;2, 1984. a, b
Clark, T. L. and Hall, W. D.: Multi-domain simulations of the time dependent Navier Stokes equation: Benchmark error analyses of nesting procedures, J. Comput. Phys., 92, 456–481, https://doi.org/10.1016/0021-9991(91)90218-A, 1991. a, b, c
Download
Short summary
To study turbulence in heterogeneous terrain, high-resolution LES is desired. However, the desired resolution is often restricted by computational constraints. We present a two-way interactive vertical grid nesting technique that enables high-resolution LES of the surface layer. By employing a finer grid only close to the surface layer, the total computational memory requirement is reduced. We demonstrate the accuracy and performance of the method for a convective boundary layer simulation.
Share