Articles | Volume 14, issue 7
https://doi.org/10.5194/gmd-14-4379-2021
© 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-14-4379-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
SCARLET-1.0: SpheriCal Approximation for viRtuaL aggrEgaTes
Eduardo Rossi
CORRESPONDING AUTHOR
Department of Earth Sciences, University of Geneva, Geneva, 1205,
Switzerland
Costanza Bonadonna
Department of Earth Sciences, University of Geneva, Geneva, 1205,
Switzerland
Related authors
Frances Beckett, Eduardo Rossi, Benjamin Devenish, Claire Witham, and Costanza Bonadonna
Atmos. Chem. Phys., 22, 3409–3431, https://doi.org/10.5194/acp-22-3409-2022, https://doi.org/10.5194/acp-22-3409-2022, 2022
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As volcanic ash is transported through the atmosphere, it may collide and stick together to form aggregates. Neglecting the process of aggregation in atmospheric dispersion models could lead to inaccurate forecasts used by civil aviation for hazard assessment. We developed an aggregation scheme for use with the model NAME, which is used by the London Volcanic Ash Advisory Centre. Using our scheme, we investigate the impact of aggregation on simulations of the 2010 Eyjafjallajökull ash cloud.
Sara Osman, Eduardo Rossi, Costanza Bonadonna, Corine Frischknecht, Daniele Andronico, Raffaello Cioni, and Simona Scollo
Nat. Hazards Earth Syst. Sci., 19, 589–610, https://doi.org/10.5194/nhess-19-589-2019, https://doi.org/10.5194/nhess-19-589-2019, 2019
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The fallout of large clasts (> 5 cm) from the margins of eruptive plumes can damage local infrastructure and severely injure people close to the volcano. Even though this potential hazard has been observed at many volcanoes, it has often been overlooked. We present the first hazard and risk assessment of large-clast fallout from eruptive plumes and use Mt Etna (Italy) as a case study. The use of dedicated shelters in the case of an explosive event that occurs with no warning is also evaluated.
Simon Thivet, Gholamhossein Bagheri, Przemyslaw M. Kornatowski, Allan Fries, Jonathan Lemus, Riccardo Simionato, Carolina Díaz-Vecino, Eduardo Rossi, Taishi Yamada, Simona Scollo, and Costanza Bonadonna
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2024-162, https://doi.org/10.5194/amt-2024-162, 2024
Preprint under review for AMT
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This work presents an innovative way of sampling and analyzing volcanic clouds using an Unoccupied Aircraft System (UAS). The UAS can reach hazardous environments to sample volcanic particles, and measure in-situ key parameters such as the atmospheric concentration of volcanic aerosols and gases. Acquired data bridge the gap between the existing approaches of ground sampling and remote sensing, hence contributing to the understanding of volcanic cloud dispersion and impact.
Luigi Mereu, Manuel Stocchi, Alexander Garcia, Michele Prestifilippo, Laura Sandri, Costanza Bonadonna, and Simona Scollo
EGUsphere, https://doi.org/10.5194/egusphere-2024-2028, https://doi.org/10.5194/egusphere-2024-2028, 2024
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Considering the question about the quantification of tephra mass deposited on roads following an or a series of explosive volcanic eruptions, in this work we assessed the cumulated tephra mass on the road networks in three selected towns on Etna’s eastern flank during several paroxysms in 2021. This is a first attempt to estimate the amount of tephra that must be removed during a crisis and could be reused instead of disposed, converting in this way a potential problem into an opportunity.
Maria-Paz Reyes-Hardy, Luigia Sara Di Maio, Lucia Dominguez, Corine Frischknecht, Sébastien Biass, Leticia Guimarães, Amiel Nieto-Torres, Manuela Elissondo, Gabriela Pedreros, Rigoberto Aguilar, Álvaro Amigo, Sebastián García, Pablo Forte, and Costanza Bonadonna
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-225, https://doi.org/10.5194/nhess-2023-225, 2024
Revised manuscript accepted for NHESS
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The Central Volcanic Zone of the Andes is shared by four countries and groups 59 volcanoes. We identified the ones with the most intense and frequent eruptions (e.g., El Misti and Ubinas), the cities with the highest density of elements at risk (e.g., Arequipa and Mequegua), and the volcanoes with the highest potential impact (e.g., Cerro Blanco and Yucamane). Our study contributes into the prioritization of risk reduction resources, which is crucial for surrounding communities.
Costanza Bonadonna, Ali Asgary, Franco Romerio, Tais Zulemyan, Corine Frischknecht, Chiara Cristiani, Mauro Rosi, Chris E. Gregg, Sebastien Biass, Marco Pistolesi, Scira Menoni, and Antonio Ricciardi
Nat. Hazards Earth Syst. Sci., 22, 1083–1108, https://doi.org/10.5194/nhess-22-1083-2022, https://doi.org/10.5194/nhess-22-1083-2022, 2022
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Evacuation planning and management represent a key aspect of volcanic crises because they can increase people's protection as well as minimize the potential impacts on the economy, properties and infrastructure of the affected area. We present a simulation tool that assesses the effectiveness of different evacuation scenarios as well as a model to assess the economic impact of evacuation as a function of evacuation duration and starting period using the island of Vulcano (Italy) as a case study.
Frances Beckett, Eduardo Rossi, Benjamin Devenish, Claire Witham, and Costanza Bonadonna
Atmos. Chem. Phys., 22, 3409–3431, https://doi.org/10.5194/acp-22-3409-2022, https://doi.org/10.5194/acp-22-3409-2022, 2022
Short summary
Short summary
As volcanic ash is transported through the atmosphere, it may collide and stick together to form aggregates. Neglecting the process of aggregation in atmospheric dispersion models could lead to inaccurate forecasts used by civil aviation for hazard assessment. We developed an aggregation scheme for use with the model NAME, which is used by the London Volcanic Ash Advisory Centre. Using our scheme, we investigate the impact of aggregation on simulations of the 2010 Eyjafjallajökull ash cloud.
Valérie Baumann, Costanza Bonadonna, Sabatino Cuomo, Mariagiovanna Moscariello, Sebastien Biass, Marco Pistolesi, and Alessandro Gattuso
Nat. Hazards Earth Syst. Sci., 19, 2421–2449, https://doi.org/10.5194/nhess-19-2421-2019, https://doi.org/10.5194/nhess-19-2421-2019, 2019
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Lahars are fast-moving mixtures of volcanic debris and water propagating downslope on volcanoes that can be very dangerous for people and property. Identification of lahar source areas and initiation mechanisms is crucial to comprehensive lahar hazard assessment. We present the first rain-triggered lahar susceptibility map for La Fossa volcano (Vulcano, Italy) combining probabilistic tephra modelling, slope-stability modelling, precipitation data, field characterizations, and geotechnical tests.
Sara Osman, Eduardo Rossi, Costanza Bonadonna, Corine Frischknecht, Daniele Andronico, Raffaello Cioni, and Simona Scollo
Nat. Hazards Earth Syst. Sci., 19, 589–610, https://doi.org/10.5194/nhess-19-589-2019, https://doi.org/10.5194/nhess-19-589-2019, 2019
Short summary
Short summary
The fallout of large clasts (> 5 cm) from the margins of eruptive plumes can damage local infrastructure and severely injure people close to the volcano. Even though this potential hazard has been observed at many volcanoes, it has often been overlooked. We present the first hazard and risk assessment of large-clast fallout from eruptive plumes and use Mt Etna (Italy) as a case study. The use of dedicated shelters in the case of an explosive event that occurs with no warning is also evaluated.
Manuela Elissondo, Valérie Baumann, Costanza Bonadonna, Marco Pistolesi, Raffaello Cioni, Antonella Bertagnini, Sébastien Biass, Juan-Carlos Herrero, and Rafael Gonzalez
Nat. Hazards Earth Syst. Sci., 16, 675–704, https://doi.org/10.5194/nhess-16-675-2016, https://doi.org/10.5194/nhess-16-675-2016, 2016
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We present a chronological reconstruction of the 2011 eruption of Puyehue-Cordón Caulle volcano (Chile) which significantly affected the ecosystem and important economic sectors. The comparison with the impact associated with other recent eruptions located in similar areas shows that the regions downwind of the erupting volcanoes suffered similar problems, suggesting that a detailed collection of impact data can be largely beneficial for the development of emergency and risk-mitigation plans.
S. Biass, C. Scaini, C. Bonadonna, A. Folch, K. Smith, and A. Höskuldsson
Nat. Hazards Earth Syst. Sci., 14, 2265–2287, https://doi.org/10.5194/nhess-14-2265-2014, https://doi.org/10.5194/nhess-14-2265-2014, 2014
C. Scaini, S. Biass, A. Galderisi, C. Bonadonna, A. Folch, K. Smith, and A. Höskuldsson
Nat. Hazards Earth Syst. Sci., 14, 2289–2312, https://doi.org/10.5194/nhess-14-2289-2014, https://doi.org/10.5194/nhess-14-2289-2014, 2014
S. Scollo, M. Coltelli, C. Bonadonna, and P. Del Carlo
Nat. Hazards Earth Syst. Sci., 13, 3221–3233, https://doi.org/10.5194/nhess-13-3221-2013, https://doi.org/10.5194/nhess-13-3221-2013, 2013
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Geosci. Model Dev., 17, 6571–6587, https://doi.org/10.5194/gmd-17-6571-2024, https://doi.org/10.5194/gmd-17-6571-2024, 2024
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Hynek Bednář and Holger Kantz
Geosci. Model Dev., 17, 6489–6511, https://doi.org/10.5194/gmd-17-6489-2024, https://doi.org/10.5194/gmd-17-6489-2024, 2024
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The forecast error growth of atmospheric phenomena is caused by initial and model errors. When studying the initial error growth, it may turn out that small-scale phenomena, which contribute little to the forecast product, significantly affect the ability to predict this product. With a negative result, we investigate in the extended Lorenz (2005) system whether omitting these phenomena will improve predictability. A theory explaining and describing this behavior is developed.
Giorgio Veratti, Alessandro Bigi, Sergio Teggi, and Grazia Ghermandi
Geosci. Model Dev., 17, 6465–6487, https://doi.org/10.5194/gmd-17-6465-2024, https://doi.org/10.5194/gmd-17-6465-2024, 2024
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Sam P. Raj, Puna Ram Sinha, Rohit Srivastava, Srinivas Bikkina, and Damu Bala Subrahamanyam
Geosci. Model Dev., 17, 6379–6399, https://doi.org/10.5194/gmd-17-6379-2024, https://doi.org/10.5194/gmd-17-6379-2024, 2024
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A Python successor to the aerosol module of the OPAC model, named AeroMix, has been developed, with enhanced capabilities to better represent real atmospheric aerosol mixing scenarios. AeroMix’s performance in modeling aerosol mixing states has been evaluated against field measurements, substantiating its potential as a versatile aerosol optical model framework for next-generation algorithms to infer aerosol mixing states and chemical composition.
Angeline G. Pendergrass, Michael P. Byrne, Oliver Watt-Meyer, Penelope Maher, and Mark J. Webb
Geosci. Model Dev., 17, 6365–6378, https://doi.org/10.5194/gmd-17-6365-2024, https://doi.org/10.5194/gmd-17-6365-2024, 2024
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The width of the tropical rain belt affects many aspects of our climate, yet we do not understand what controls it. To better understand it, we present a method to change it in numerical model experiments. We show that the method works well in four different models. The behavior of the width is unexpectedly simple in some ways, such as how strong the winds are as it changes, but in other ways, it is more complicated, especially how temperature increases with carbon dioxide.
Tianning Su and Yunyan Zhang
Geosci. Model Dev., 17, 6319–6336, https://doi.org/10.5194/gmd-17-6319-2024, https://doi.org/10.5194/gmd-17-6319-2024, 2024
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Using 2 decades of field observations over the Southern Great Plains, this study developed a deep-learning model to simulate the complex dynamics of boundary layer clouds. The deep-learning model can serve as the cloud parameterization within reanalysis frameworks, offering insights into improving the simulation of low clouds. By quantifying biases due to various meteorological factors and parameterizations, this deep-learning-driven approach helps bridge the observation–modeling divide.
Siyuan Chen, Yi Zhang, Yiming Wang, Zhuang Liu, Xiaohan Li, and Wei Xue
Geosci. Model Dev., 17, 6301–6318, https://doi.org/10.5194/gmd-17-6301-2024, https://doi.org/10.5194/gmd-17-6301-2024, 2024
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This study explores strategies and techniques for implementing mixed-precision code optimization within an atmosphere model dynamical core. The coded equation terms in the governing equations that are sensitive (or insensitive) to the precision level have been identified. The performance of mixed-precision computing in weather and climate simulations was analyzed.
Sam O. Owens, Dipanjan Majumdar, Chris E. Wilson, Paul Bartholomew, and Maarten van Reeuwijk
Geosci. Model Dev., 17, 6277–6300, https://doi.org/10.5194/gmd-17-6277-2024, https://doi.org/10.5194/gmd-17-6277-2024, 2024
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Designing cities that are resilient, sustainable, and beneficial to health requires an understanding of urban climate and air quality. This article presents an upgrade to the multi-physics numerical model uDALES, which can simulate microscale airflow, heat transfer, and pollutant dispersion in urban environments. This upgrade enables it to resolve realistic urban geometries more accurately and to take advantage of the resources available on current and future high-performance computing systems.
Allison A. Wing, Levi G. Silvers, and Kevin A. Reed
Geosci. Model Dev., 17, 6195–6225, https://doi.org/10.5194/gmd-17-6195-2024, https://doi.org/10.5194/gmd-17-6195-2024, 2024
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This paper presents the experimental design for a model intercomparison project to study tropical clouds and climate. It is a follow-up from a prior project that used a simplified framework for tropical climate. The new project adds one new component – a specified pattern of sea surface temperatures as the lower boundary condition. We provide example results from one cloud-resolving model and one global climate model and test the sensitivity to the experimental parameters.
Philip G. Sansom and Jennifer L. Catto
Geosci. Model Dev., 17, 6137–6151, https://doi.org/10.5194/gmd-17-6137-2024, https://doi.org/10.5194/gmd-17-6137-2024, 2024
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Weather fronts bring a lot of rain and strong winds to many regions of the mid-latitudes. We have developed an updated method of identifying these fronts in gridded data that can be used on new datasets with small grid spacing. The method can be easily applied to different datasets due to the use of open-source software for its development and shows improvements over similar previous methods. We present an updated estimate of the average frequency of fronts over the past 40 years.
Kelly M. Núñez Ocasio and Zachary L. Moon
Geosci. Model Dev., 17, 6035–6049, https://doi.org/10.5194/gmd-17-6035-2024, https://doi.org/10.5194/gmd-17-6035-2024, 2024
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TAMS is an open-source Python-based package for tracking and classifying mesoscale convective systems that can be used to study observed and simulated systems. Each step of the algorithm is described in this paper with examples showing how to make use of visualization and post-processing tools within the package. A unique and valuable feature of this tracker is its support for unstructured grids in the identification stage and grid-independent tracking.
Irene C. Dedoussi, Daven K. Henze, Sebastian D. Eastham, Raymond L. Speth, and Steven R. H. Barrett
Geosci. Model Dev., 17, 5689–5703, https://doi.org/10.5194/gmd-17-5689-2024, https://doi.org/10.5194/gmd-17-5689-2024, 2024
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Atmospheric model gradients provide a meaningful tool for better understanding the underlying atmospheric processes. Adjoint modeling enables computationally efficient gradient calculations. We present the adjoint of the GEOS-Chem unified chemistry extension (UCX). With this development, the GEOS-Chem adjoint model can capture stratospheric ozone and other processes jointly with tropospheric processes. We apply it to characterize the Antarctic ozone depletion potential of active halogen species.
Sylvain Mailler, Sotirios Mallios, Arineh Cholakian, Vassilis Amiridis, Laurent Menut, and Romain Pennel
Geosci. Model Dev., 17, 5641–5655, https://doi.org/10.5194/gmd-17-5641-2024, https://doi.org/10.5194/gmd-17-5641-2024, 2024
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We propose two explicit expressions to calculate the settling speed of solid atmospheric particles with prolate spheroidal shapes. The first formulation is based on theoretical arguments only, while the second one is based on computational fluid dynamics calculations. We show that the first method is suitable for virtually all atmospheric aerosols, provided their shape can be adequately described as a prolate spheroid, and we provide an implementation of the first method in AerSett v2.0.2.
Hejun Xie, Lei Bi, and Wei Han
Geosci. Model Dev., 17, 5657–5688, https://doi.org/10.5194/gmd-17-5657-2024, https://doi.org/10.5194/gmd-17-5657-2024, 2024
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A radar operator plays a crucial role in utilizing radar observations to enhance numerical weather forecasts. However, developing an advanced radar operator is challenging due to various complexities associated with the wave scattering by non-spherical hydrometeors, radar beam propagation, and multiple platforms. In this study, we introduce a novel radar operator named the Accurate and Efficient Radar Operator developed by ZheJiang University (ZJU-AERO) which boasts several unique features.
Jonathan J. Day, Gunilla Svensson, Barbara Casati, Taneil Uttal, Siri-Jodha Khalsa, Eric Bazile, Elena Akish, Niramson Azouz, Lara Ferrighi, Helmut Frank, Michael Gallagher, Øystein Godøy, Leslie M. Hartten, Laura X. Huang, Jareth Holt, Massimo Di Stefano, Irene Suomi, Zen Mariani, Sara Morris, Ewan O'Connor, Roberta Pirazzini, Teresa Remes, Rostislav Fadeev, Amy Solomon, Johanna Tjernström, and Mikhail Tolstykh
Geosci. Model Dev., 17, 5511–5543, https://doi.org/10.5194/gmd-17-5511-2024, https://doi.org/10.5194/gmd-17-5511-2024, 2024
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The YOPP site Model Intercomparison Project (YOPPsiteMIP), which was designed to facilitate enhanced weather forecast evaluation in polar regions, is discussed here, focussing on describing the archive of forecast data and presenting a multi-model evaluation at Arctic supersites during February and March 2018. The study highlights an underestimation in boundary layer temperature variance that is common across models and a related inability to forecast cold extremes at several of the sites.
Hossain Mohammed Syedul Hoque, Kengo Sudo, Hitoshi Irie, Yanfeng He, and Md Firoz Khan
Geosci. Model Dev., 17, 5545–5571, https://doi.org/10.5194/gmd-17-5545-2024, https://doi.org/10.5194/gmd-17-5545-2024, 2024
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Using multi-platform observations, we validated global formaldehyde (HCHO) simulations from a chemistry transport model. HCHO is a crucial intermediate in the chemical catalytic cycle that governs the ozone formation in the troposphere. The model was capable of replicating the observed spatiotemporal variability in HCHO. In a few cases, the model's capability was limited. This is attributed to the uncertainties in the observations and the model parameters.
Zijun Liu, Li Dong, Zongxu Qiu, Xingrong Li, Huiling Yuan, Dongmei Meng, Xiaobin Qiu, Dingyuan Liang, and Yafei Wang
Geosci. Model Dev., 17, 5477–5496, https://doi.org/10.5194/gmd-17-5477-2024, https://doi.org/10.5194/gmd-17-5477-2024, 2024
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In this study, we completed a series of simulations with MPAS-Atmosphere (version 7.3) to study the extreme precipitation event of Henan, China, during 20–22 July 2021. We found the different performance of two built-in parameterization scheme suites (mesoscale and convection-permitting suites) with global quasi-uniform and variable-resolution meshes. This study holds significant implications for advancing the understanding of the scale-aware capability of MPAS-Atmosphere.
Laurent Menut, Arineh Cholakian, Romain Pennel, Guillaume Siour, Sylvain Mailler, Myrto Valari, Lya Lugon, and Yann Meurdesoif
Geosci. Model Dev., 17, 5431–5457, https://doi.org/10.5194/gmd-17-5431-2024, https://doi.org/10.5194/gmd-17-5431-2024, 2024
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A new version of the CHIMERE model is presented. This version contains both computational and physico-chemical changes. The computational changes make it easy to choose the variables to be extracted as a result, including values of maximum sub-hourly concentrations. Performance tests show that the model is 1.5 to 2 times faster than the previous version for the same setup. Processes such as turbulence, transport schemes and dry deposition have been modified and updated.
G. Alexander Sokolowsky, Sean W. Freeman, William K. Jones, Julia Kukulies, Fabian Senf, Peter J. Marinescu, Max Heikenfeld, Kelcy N. Brunner, Eric C. Bruning, Scott M. Collis, Robert C. Jackson, Gabrielle R. Leung, Nils Pfeifer, Bhupendra A. Raut, Stephen M. Saleeby, Philip Stier, and Susan C. van den Heever
Geosci. Model Dev., 17, 5309–5330, https://doi.org/10.5194/gmd-17-5309-2024, https://doi.org/10.5194/gmd-17-5309-2024, 2024
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Building on previous analysis tools developed for atmospheric science, the original release of the Tracking and Object-Based Analysis (tobac) Python package, v1.2, was open-source, modular, and insensitive to the type of gridded input data. Here, we present the latest version of tobac, v1.5, which substantially improves scientific capabilities and computational efficiency from the previous version. These enhancements permit new uses for tobac in atmospheric science and potentially other fields.
Taneil Uttal, Leslie M. Hartten, Siri Jodha Khalsa, Barbara Casati, Gunilla Svensson, Jonathan Day, Jareth Holt, Elena Akish, Sara Morris, Ewan O'Connor, Roberta Pirazzini, Laura X. Huang, Robert Crawford, Zen Mariani, Øystein Godøy, Johanna A. K. Tjernström, Giri Prakash, Nicki Hickmon, Marion Maturilli, and Christopher J. Cox
Geosci. Model Dev., 17, 5225–5247, https://doi.org/10.5194/gmd-17-5225-2024, https://doi.org/10.5194/gmd-17-5225-2024, 2024
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A Merged Observatory Data File (MODF) format to systematically collate complex atmosphere, ocean, and terrestrial data sets collected by multiple instruments during field campaigns is presented. The MODF format is also designed to be applied to model output data, yielding format-matching Merged Model Data Files (MMDFs). MODFs plus MMDFs will augment and accelerate the synergistic use of model results with observational data to increase understanding and predictive skill.
Chongzhi Yin, Shin-ichiro Shima, Lulin Xue, and Chunsong Lu
Geosci. Model Dev., 17, 5167–5189, https://doi.org/10.5194/gmd-17-5167-2024, https://doi.org/10.5194/gmd-17-5167-2024, 2024
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We investigate numerical convergence properties of a particle-based numerical cloud microphysics model (SDM) and a double-moment bulk scheme for simulating a marine stratocumulus case, compare their results with model intercomparison project results, and present possible explanations for the different results of the SDM and the bulk scheme. Aerosol processes can be accurately simulated using SDM, and this may be an important factor affecting the behavior and morphology of marine stratocumulus.
Alberto Martilli, Negin Nazarian, E. Scott Krayenhoff, Jacob Lachapelle, Jiachen Lu, Esther Rivas, Alejandro Rodriguez-Sanchez, Beatriz Sanchez, and José Luis Santiago
Geosci. Model Dev., 17, 5023–5039, https://doi.org/10.5194/gmd-17-5023-2024, https://doi.org/10.5194/gmd-17-5023-2024, 2024
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Here, we present a model that quantifies the thermal stress and its microscale variability at a city scale with a mesoscale model. This tool can have multiple applications, from early warnings of extreme heat to the vulnerable population to the evaluation of the effectiveness of heat mitigation strategies. It is the first model that includes information on microscale variability in a mesoscale model, something that is essential for fully evaluating heat stress.
Nathan P. Arnold
Geosci. Model Dev., 17, 5041–5056, https://doi.org/10.5194/gmd-17-5041-2024, https://doi.org/10.5194/gmd-17-5041-2024, 2024
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Earth system models often represent the land surface at smaller scales than the atmosphere, but surface–atmosphere coupling uses only aggregated surface properties. This study presents a method to allow heterogeneous surface properties to modify boundary layer updrafts. The method is tested in single column experiments. Updraft properties are found to reasonably covary with surface conditions, and simulated boundary layer variability is enhanced over more heterogeneous land surfaces.
Lucie Bakels, Daria Tatsii, Anne Tipka, Rona Thompson, Marina Dütsch, Michael Blaschek, Petra Seibert, Katharina Baier, Silvia Bucci, Massimo Cassiani, Sabine Eckhardt, Christine Groot Zwaaftink, Stephan Henne, Pirmin Kaufmann, Vincent Lechner, Christian Maurer, Marie D. Mulder, Ignacio Pisso, Andreas Plach, Rakesh Subramanian, Martin Vojta, and Andreas Stohl
EGUsphere, https://doi.org/10.5194/egusphere-2024-1713, https://doi.org/10.5194/egusphere-2024-1713, 2024
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Computer models are essential for improving our understanding of how gases and particles move in the atmosphere. We present an update of the atmospheric transport model FLEXPART. FLEXPART 11 is more accurate due to a reduced number of interpolations and a new scheme for wet deposition. It can simulate non-spherical aerosols, and includes linear chemical reactions. It is parallelised using OpenMP and includes new user options. A new user manual details how to use FLEXPART 11.
Enrico Dammers, Janot Tokaya, Christian Mielke, Kevin Hausmann, Debora Griffin, Chris McLinden, Henk Eskes, and Renske Timmermans
Geosci. Model Dev., 17, 4983–5007, https://doi.org/10.5194/gmd-17-4983-2024, https://doi.org/10.5194/gmd-17-4983-2024, 2024
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Nitrogen dioxide (NOx) is produced by sources such as industry and traffic and is directly linked to negative impacts on health and the environment. The current construction of emission inventories to keep track of NOx emissions is slow and time-consuming. Satellite measurements provide a way to quickly and independently estimate emissions. In this study, we apply a consistent methodology to derive NOx emissions over Germany and illustrate the value of having such a method for fast projections.
Yujuan Wang, Peng Zhang, Jie Li, Yaman Liu, Yanxu Zhang, Jiawei Li, and Zhiwei Han
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-109, https://doi.org/10.5194/gmd-2024-109, 2024
Revised manuscript accepted for GMD
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This study updates CESM's aerosol schemes, focusing on dust, marine aerosol emissions, and secondary organic aerosols (SOA) formation. Dust emission modifications make deflation areas more continuous, improving results in North America and the subarctic. Humidity correction to sea-salt emissions has a minor effect. Introducing marine organic aerosol emissions, coupled with ocean biogeochemical processes, and adding aqueous reactions for SOA formation, advance CESM's aerosol modelling results.
Yuhan Xu, Sheng Fang, Xinwen Dong, and Shuhan Zhuang
Geosci. Model Dev., 17, 4961–4982, https://doi.org/10.5194/gmd-17-4961-2024, https://doi.org/10.5194/gmd-17-4961-2024, 2024
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Recent atmospheric radionuclide leakages from unknown sources have posed a new challenge in nuclear emergency assessment. Reconstruction via environmental observations is the only feasible way to identify sources, but simultaneous reconstruction of the source location and release rate yields high uncertainties. We propose a spatiotemporally separated reconstruction strategy that avoids these uncertainties and outperforms state-of-the-art methods with respect to accuracy and uncertainty ranges.
Shaokun Deng, Shengmu Yang, Shengli Chen, Daoyi Chen, Xuefeng Yang, and Shanshan Cui
Geosci. Model Dev., 17, 4891–4909, https://doi.org/10.5194/gmd-17-4891-2024, https://doi.org/10.5194/gmd-17-4891-2024, 2024
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Global offshore wind power development is moving from offshore to deeper waters, where floating offshore wind turbines have an advantage over bottom-fixed turbines. However, current wind farm parameterization schemes in mesoscale models are not applicable to floating turbines. We propose a floating wind farm parameterization scheme that accounts for the attenuation of the significant wave height by floating turbines. The results indicate that it has a significant effect on the power output.
Virve Eveliina Karsisto
Geosci. Model Dev., 17, 4837–4853, https://doi.org/10.5194/gmd-17-4837-2024, https://doi.org/10.5194/gmd-17-4837-2024, 2024
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RoadSurf is an open-source library that contains functions from the Finnish Meteorological Institute’s road weather model. The evaluation of the library shows that it is well suited for making road surface temperature forecasts. The evaluation was done by making forecasts for about 400 road weather stations in Finland with the library. Accurate forecasts help road authorities perform salting and plowing operations at the right time and keep roads safe for drivers.
Perrine Hamel, Martí Bosch, Léa Tardieu, Aude Lemonsu, Cécile de Munck, Chris Nootenboom, Vincent Viguié, Eric Lonsdorf, James A. Douglass, and Richard P. Sharp
Geosci. Model Dev., 17, 4755–4771, https://doi.org/10.5194/gmd-17-4755-2024, https://doi.org/10.5194/gmd-17-4755-2024, 2024
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The InVEST Urban Cooling model estimates the cooling effect of vegetation in cities. We further developed an algorithm to facilitate model calibration and evaluation. Applying the algorithm to case studies in France and in the United States, we found that nighttime air temperature estimates compare well with reference datasets. Estimated change in temperature from a land cover scenario compares well with an alternative model estimate, supporting the use of the model for urban planning decisions.
Gerrit Kuhlmann, Erik Koene, Sandro Meier, Diego Santaren, Grégoire Broquet, Frédéric Chevallier, Janne Hakkarainen, Janne Nurmela, Laia Amorós, Johanna Tamminen, and Dominik Brunner
Geosci. Model Dev., 17, 4773–4789, https://doi.org/10.5194/gmd-17-4773-2024, https://doi.org/10.5194/gmd-17-4773-2024, 2024
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We present a Python software library for data-driven emission quantification (ddeq). It can be used to determine the emissions of hot spots (cities, power plants and industry) from remote sensing images using different methods. ddeq can be extended for new datasets and methods, providing a powerful community tool for users and developers. The application of the methods is shown using Jupyter notebooks included in the library.
Wendell W. Walters, Masayuki Takeuchi, Nga L. Ng, and Meredith G. Hastings
Geosci. Model Dev., 17, 4673–4687, https://doi.org/10.5194/gmd-17-4673-2024, https://doi.org/10.5194/gmd-17-4673-2024, 2024
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The study introduces a novel chemical mechanism for explicitly tracking oxygen isotope transfer in oxidized reactive nitrogen and odd oxygen using the Regional Atmospheric Chemistry Mechanism, version 2. This model enhances our ability to simulate and compare oxygen isotope compositions of reactive nitrogen, revealing insights into oxidation chemistry. The approach shows promise for improving atmospheric chemistry models and tropospheric oxidation capacity predictions.
David C. Wong, Jeff Willison, Jonathan E. Pleim, Golam Sarwar, James Beidler, Russ Bullock, Jerold A. Herwehe, Rob Gilliam, Daiwen Kang, Christian Hogrefe, George Pouliot, and Hosein Foroutan
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2024-52, https://doi.org/10.5194/gmd-2024-52, 2024
Revised manuscript accepted for GMD
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This work describe how we linked meteorological Model for Prediction Across Scales – Atmosphere (MPAS-A) with the Community Multiscale Air Quality (CMAQ) air quality model to form a coupled modelling system. This could be used to study air quality or climate and air quality interaction in a global scale. This new model scales well on high performance computing environment and performs well with respect to ground surface networks in terms of ozone and PM2.5.
Bing Zhang, Mingjian Zeng, Anning Huang, Zhengkun Qin, Couhua Liu, Wenru Shi, Xin Li, Kefeng Zhu, Chunlei Gu, and Jialing Zhou
Geosci. Model Dev., 17, 4579–4601, https://doi.org/10.5194/gmd-17-4579-2024, https://doi.org/10.5194/gmd-17-4579-2024, 2024
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By directly analyzing the proximity of precipitation forecasts and observations, a precipitation accuracy score (PAS) method was constructed. This method does not utilize a traditional contingency-table-based classification verification; however, it can replace the threat score (TS), equitable threat score (ETS), and other skill score methods, and it can be used to calculate the accuracy of numerical models or quantitative precipitation forecasts.
Hai Bui, Mostafa Bakhoday-Paskyabi, and Mohammadreza Mohammadpour-Penchah
Geosci. Model Dev., 17, 4447–4465, https://doi.org/10.5194/gmd-17-4447-2024, https://doi.org/10.5194/gmd-17-4447-2024, 2024
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We developed a new wind turbine wake model, the Simple Actuator Disc for Large Eddy Simulation (SADLES), integrated with the widely used Weather Research and Forecasting (WRF) model. WRF-SADLES accurately simulates wind turbine wakes at resolutions of a few dozen meters, aligning well with idealized simulations and observational measurements. This makes WRF-SADLES a promising tool for wind energy research, offering a balance between accuracy, computational efficiency, and ease of implementation.
Changliang Shao and Lars Nerger
Geosci. Model Dev., 17, 4433–4445, https://doi.org/10.5194/gmd-17-4433-2024, https://doi.org/10.5194/gmd-17-4433-2024, 2024
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This paper introduces and evaluates WRF-PDAF, a fully online-coupled ensemble data assimilation (DA) system. A key advantage of the WRF-PDAF configuration is its ability to concurrently integrate all ensemble states, eliminating the need for time-consuming distribution and collection of ensembles during the coupling communication. The extra time required for DA amounts to only 20.6 % per cycle. Twin experiment results underscore the effectiveness of the WRF-PDAF system.
Jan Clemens, Lars Hoffmann, Bärbel Vogel, Sabine Grießbach, and Nicole Thomas
Geosci. Model Dev., 17, 4467–4493, https://doi.org/10.5194/gmd-17-4467-2024, https://doi.org/10.5194/gmd-17-4467-2024, 2024
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Lagrangian transport models simulate the transport of air masses in the atmosphere. For example, one model (CLaMS) is well suited to calculating transport as it uses a special coordinate system and special vertical wind. However, it only runs inefficiently on modern supercomputers. Hence, we have implemented the benefits of CLaMS into a new model (MPTRAC), which is already highly efficient on modern supercomputers. Finally, in extensive tests, we showed that CLaMS and MPTRAC agree very well.
Manuel López-Puertas, Federico Fabiano, Victor Fomichev, Bernd Funke, and Daniel R. Marsh
Geosci. Model Dev., 17, 4401–4432, https://doi.org/10.5194/gmd-17-4401-2024, https://doi.org/10.5194/gmd-17-4401-2024, 2024
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The radiative infrared cooling of CO2 in the middle atmosphere is crucial for computing its thermal structure. It requires one however to include non-local thermodynamic equilibrium processes which are computationally very expensive, which cannot be afforded by climate models. In this work, we present an updated, efficient, accurate and very fast (~50 µs) parameterization of that cooling able to cope with CO2 abundances from half the pre-industrial values to 10 times the current abundance.
Felix Wieser, Rolf Sander, Changmin Cho, Hendrik Fuchs, Thorsten Hohaus, Anna Novelli, Ralf Tillmann, and Domenico Taraborrelli
Geosci. Model Dev., 17, 4311–4330, https://doi.org/10.5194/gmd-17-4311-2024, https://doi.org/10.5194/gmd-17-4311-2024, 2024
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The chemistry scheme of the atmospheric box model CAABA/MECCA is expanded to achieve an improved aerosol formation from emitted organic compounds. In addition to newly added reactions, temperature-dependent partitioning of all new species between the gas and aqueous phases is estimated and included in the pre-existing scheme. Sensitivity runs show an overestimation of key compounds from isoprene, which can be explained by a lack of aqueous-phase degradation reactions and box model limitations.
Zehua Bai, Qizhong Wu, Kai Cao, Yiming Sun, and Huaqiong Cheng
Geosci. Model Dev., 17, 4383–4399, https://doi.org/10.5194/gmd-17-4383-2024, https://doi.org/10.5194/gmd-17-4383-2024, 2024
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There is relatively limited research on the application of scientific computing on RISC CPU platforms. The MIPS architecture CPUs, a type of RISC CPUs, have distinct advantages in energy efficiency and scalability. The air quality modeling system can run stably on the MIPS and LoongArch platforms, and the experiment results verify the stability of scientific computing on the platforms. The work provides a technical foundation for the scientific application based on MIPS and LoongArch.
Yafang Guo, Chayan Roychoudhury, Mohammad Amin Mirrezaei, Rajesh Kumar, Armin Sorooshian, and Avelino F. Arellano
Geosci. Model Dev., 17, 4331–4353, https://doi.org/10.5194/gmd-17-4331-2024, https://doi.org/10.5194/gmd-17-4331-2024, 2024
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This research focuses on surface ozone (O3) pollution in Arizona, a historically air-quality-challenged arid and semi-arid region in the US. The unique characteristics of this kind of region, e.g., intense heat, minimal moisture, and persistent desert shrubs, play a vital role in comprehending O3 exceedances. Using the WRF-Chem model, we analyzed O3 levels in the pre-monsoon month, revealing the model's skill in capturing diurnal and MDA8 O3 levels.
Christoph Fischer, Andreas H. Fink, Elmar Schömer, Marc Rautenhaus, and Michael Riemer
Geosci. Model Dev., 17, 4213–4228, https://doi.org/10.5194/gmd-17-4213-2024, https://doi.org/10.5194/gmd-17-4213-2024, 2024
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This study presents a method for identifying and tracking 3-D potential vorticity structures within African easterly waves (AEWs). Each identified structure is characterized by descriptors, including its 3-D position and orientation, which have been validated through composite comparisons. A trough-centric perspective on the descriptors reveals the evolution and distinct characteristics of AEWs. These descriptors serve as valuable statistical inputs for the study of AEW-related phenomena.
Cited articles
Abrahamson, J.: Collision rates of small particles in a vigorously turbulent
fluid, Chem. Eng. Sci., 30, 1371–1379, 1975.
Bagheri, G. H., Bonadonna, C., Manzella, I., and Vonlanthen, P.: On the
characterization of size and shape of irregular particles, Powder Technol.,
270, 141–153, 2015.
Bagheri, G. and Bonadonna, C.: On the drag of freely falling non-spherical
particles, Powder Technol., 301, 526–544, 2016.
Bagheri, G., Rossi, E., Biass, S., and Bonadonna, C.: Timing and nature of
volcanic particle clusters based on field and numerical investigations, J.
Volcanol. Geotherm. Res., 327, 520–530, 2016.
Bonadonna, C., Genco, R., Gouhier, M., Pistolesi, M., Cioni, R., Alfano, F.,
Hoskuldsson, A., and Ripepe, M.: Tephra sedimentation during the 2010
Eyjafjallajokull eruption (Iceland) from deposit, radar, and satellite
observations, J. Geophys. Res.-Sol. Ea., 116, B12202, https://doi.org/10.1029/2011JB008462, 2011.
Brauer, M., Avila-Casado, C., Fortoul, T. I., Vedal, S., Stevens, B., and
Churg, A.: Air pollution and retained particles in the lung, Environ. Health
Perspect., 109, 1039–1043, 2001.
Brown, R. J., Bonadonna, C., and Durant, A. J.: A review of volcanic ash
aggregation, Phys. Chem. Earth, 45–46, 65–78, 2012.
Burns, F. A., Bonadonna, C., Pioli, L., Cole, P. D., and Stinton, A.: Ash
aggregation during the 11 February 2010 partial dome collapse of the
Soufriere Hills Volcano, Montserrat, J. Volcanol. Geotherm. Res., 335,
92–112, 2017.
Chopard, B., Nguyen, H., and Stoll, S.: A lattice Boltzmann study of the
hydrodynamic properties of 3D fractal aggregates, Math. Comput. Simul., 72,
103–107, 2006.
Conway, J. and Sloane, N. J. A.: Sphere Packings, Lattices and Groups, Springer, New York, 1998.
Cuq, B., Mandato, S., Jeantet, R., Saleh, K., and Ruiz, T.:
Agglomeration/granulation in food powder production, Woodhead Publishing,
150–177, 2013.
Dacanal, G. C., Feltre, G., Thomazi, M. G., and Menegalli, F. C.: Effects of
pulsating air flow in fluid bed agglomeration of starch particles, J. Food
Eng., 181, 67–83, 2016.
Dominik, C., Blum, J., Cuzzi, J., and Wurm, G.: Growth of Dust as the
Initial Step Toward Planet Formation, arXiv [preprint], arXiv:astro-ph/0602617, 2006.
Donev, A., Cisse, I., Sachs, D., Variano, E., Stillinger, F. H., Connelly,
R., Torquato, S., and Chaikin, P. M.: Improving the density of jammed
disordered packings using ellipsoids, Science, 303, 990–993, 2004.
Durant, A. J.: Toward a realistic formulation of fine-ash lifetime in
volcanic clouds, Geology, 43, 271–272, 2015.
Evans, K. E. and Ferrar, M. D. A. A.: The packing of thick fibres, J.
Phys. D Appl. Phys., 22, 354–360, 1989.
Farr, R. S. and Groot, R. D.: Close packing density of polydisperse hard
spheres, J. Chem. Phys., 131, 244104, https://doi.org/10.1063/1.3276799, 2009.
Filippov, A. V., Zurita, M., and Rosner, D. E.: Fractal-like aggregates:
Relation between morphology and physical properties, J. Colloid Interf. Sci., 229, 261–273, 2000.
Gabellini, P., Rossi, E., Bonadonna, C., Pistolesi, M., Bagheri, G., and Cioni, R.:
Physical and aerodynamic characterization of particle clusters at Sakurajima
volcano (Japan), Front. Earth Sci., 8, 420, https://doi.org/10.3389/feart.2020.575874, 2020.
Gilbert, J. S. and Lane, S. J.: The origin of accretionary lapilli, B. Volcanol., 56, 398–411, 1994.
Hales, T. C.: A proof of the Kepler conjecture, Ann. Math., 162, 1065–1185,
2005.
Hellweg, N., Lalish, E., and Kintel, M.: OpenSCAD examples: the Menger sponge, available at: https://files.openscad.org/examples/Advanced/fractal.html (last access: 14 July 2021), 2013.
Imaeda, Y. and Ebisuzaki, T.: Tandem planet formation for solar system-like
planetary systems, Geosci. Front., 8, 223–231, 2017.
Jacobson, M. Z. U.: Fundamentals of Atmospheric Modeling, Cambridge
University Press, 2005.
Jia, X. and Williams, R. A.: A packing algorithm for particles of arbitrary
shapes, Powder Technol., 120, 175–186, 2001.
Karrer, M., Seifert, A., Siewert, C., Ori, D., von Lerber, A., and Kneifel,
S.: Ice Particle Properties Inferred From Aggregation Modelling, J. Adv.
Model. Earth Syst., 12, e2020MS002066, https://doi.org/10.1029/2020MS002066, 2020.
Kessler, D. A., Koplik, J., and Levine, H.: Numerical simulation of two
dimensional snowflake, Phys. Rev. A, 30, 2820—2823, 1984.
Kieffer, S. W. and Sturtevant, B.: Laboratory studies of volcanic jets,
J. Geophys. Res., 89, 8253–8268, 1984.
Lucas, E.: Recherches sur l'Analyse Indeterminée, Moulins, p. 90, 1873.
Lumme, K. and Rahola, J.: Light scattering by porous dust particles in the
discrete-dipole approximation, Astrophys. J., 425, 653–667, 1994.
Man, W. N., Donev, A., Stillinger, F. H., Sullivan, M. T., Russel, W. B.,
Heeger, D., Inati, S., Torquato, S., and Chaikin, P. M.: Experiments on
random packings of ellipsoids, Phys. Rev. Lett., 94, 198001, https://doi.org/10.1103/PhysRevLett.94.198001, 2005.
Maruyama, K. and Fujiyoshi, Y.: Monte Carlo simulation of the formation of
snowflakes, J. Atmos. Sci., 62, 1529–1544, 2005.
McCorquodale, M. W. and Westbrook, C. D.: TRAIL part 2: A comprehensive
assessment of ice particle fall speed parametrisations, Q. J. Roy. Meteor.
Soc., 147, 605–626, 2021.
Min, M., Waters, L., de Koter, A., Hovenier, J. W., Keller, L. P., and
Markwick-Kemper, F.: The shape and composition of interstellar silicate
grains, Astron. Astrophys., 462, 667–676, 2007.
Nguyen, H. P., Chopard, B., and Stoll, S.: Lattice Boltzmann method to study
hydrodynamic properties of 2D fractal aggregates, in: Proceedings of Computational Science – Iccs 2003, edited by: Sloot, M. A. P., Abramson, D., Bogdanov, A. V., Dongarra, J. J., Zomaya, A. Y., and Gorbachev, Y. E., Lecture Notes in Computer Science, Springer-Verlag Berlin, Berlin, 2003.
Nguyen, H. P., Chopard, B., and Stoll, S.: Hydrodynamic properties of
fractal aggregates in 2D using Lattice Boltzmann simulation, Futur. Gener.
Comp. Syst., 20, 981–991, 2004.
Ning, C. and Reiter, C. A.: A cellular model for three-dimensional snow
crystallization, Comput. Graph.-UK, 31, 668–677, 2007.
Nolan, G. T. and Kavanagh, P. E.: Random packing of nonspherical, Powder
Technol., 84, 199–205, 1995.
Ohno, K., Okuzumi, S., and Tazaki, R.: Clouds of Fluffy Aggregates: How They
Form in Exoplanetary Atmospheres and Influence Transmission Spectra,
Astrophys. J., 891, 131, https://doi.org/10.3847/1538-4357/ab44bd, 2020.
Okuzumi, S., Tanaka, H., and Sakagami, M.-A.: Numerical Modeling of the Coagulation and Porosity Evolution of Dust Aggregates, The Astrophys. J., 707, 1247–1263, 2009.
Ormel, C. W. and Cuzzi, J. N.: Closed-form expressions for particle relative
velocities induced by turbulence (Research Note), Astron.
Astrophys., 466, 413–420, 2007.
Ori, D., Maestri, T., Rizzi, R., Cimini, D., Montopoli, M., and Marzano, F.
S.: Scattering properties of modeled complex snowflakes and mixed-phase
particles at microwave and millimeter frequencies, J. Geophys. Res.-Atmos.,
119, 9931–9947, 2014.
Ormel, C. W., Spaans, M., and Tielens, A.: Dust coagulation in
protoplanetary disks: porosity matters, Astron. Astrophys., 461,
215–232, 2007.
Poon, J. M. H., Immanuel, C. D., Doyle, F. J., and Litster, J. D.: A
three-dimensional population balance model of granulation with a mechanistic
representation of the nucleation and aggregation phenomena, Chem. Eng. Sci.,
63, 1315–1329, 2008.
Pumir, A. and Wilkinson, M.: Collisional Aggregation Due to Turbulence, Annual Review of Condensed Matter Physics, 7, 141–170, 2016.
Reiter, C. A.: A local cellular model for snow crystal growth, Chaos
Solitons Fractals, 23, 1111–1119, 2005.
Rossi, E.: EduardoRossiScience/SCARLET: (Version v1.01-beta), Zenodo, https://doi.org/10.5281/zenodo.4675770, 2021.
Saffman, P. G. and Turner, J. S.: On the collision of drops in turbulent clouds, J. Fluid Mech., 1, 16–30, 1956.
Sergeyev, Y. D.: Evaluating the exact infinitesimal values of area of
Sierpinski's carpet and volume of Menger's sponge, Chaos Solitons Fractals,
42, 3042–3046, 2009.
Shi, Y. Y., Ji, Y. F., Sun, H., Hui, F., Hu, J. C., Wu, Y. X., Fang, J. L.,
Lin, H., Wang, J. X., Duan, H. L., and Lanza, M.: Nanoscale characterization
of PM2.5 airborne pollutants reveals high adhesiveness and aggregation
capability of soot particles, Sci. Rep., 5, 11232, https://doi.org/10.1038/srep11232, 2015.
Suresh, K.: Volume of a surface triangulation [code], MATLAB Central File Exchange, available at: https://www.mathworks.com/matlabcentral/fileexchange/26982-volume-of-a-surface-triangulation, last access: 8 April 2021.
Sven: inpolyhedron: are points inside a triangulated volume? [code], MATLAB Central
File Exchange, available at: https://www.mathworks.com/matlabcentral/fileexchange/37856-inpolyhedron-are-points-inside-a-triangulated-volume, last access: 15 June 2021.
Szilvasi-Nagy, M. and Matyasi, G.: Analysis of STL files, Math. Comput.
Model., 38, 945–960, 2003.
Taddeucci, J., Scarlato, P., Montanaro, C., Cimarelli, C., Del Bello, E., Freda, C., Andronico, D., Gudmundsson, M. T., and Dingwell, D. B.: Aggregation-dominated ash settling from the Eyjafjallajokull volcanic cloud illuminated by field and laboratory high-speed imaging, Geology, 39, 891–894, 2011.
Textor, C. and Ernst, G. G. J.: Comment on “Particle aggregation in volcanic
eruption columns” by Graham Veitch and Andrew W. Woods, J. Geophys.
Res.-Sol. Ea., 109, B05202, https://doi.org/10.1029/2002JB002291, 2004.
Tyynela, J. and von Lerber, A.: Validation of Microphysical Snow Models
Using In Situ, Multifrequency, and Dual-Polarization Radar Measurements in
Finland, J. Geophys. Res.-Atmos., 124, 13273–13290, 2019.
Volk, H. J., Jones, F. C., Morfill, G. E., and Roser, S.: Collisions between
grains in a turbulent gas, Astron. Astrophys., 85, 316–325, 1980.
Weaire, D. and Aste: The Pursuit of Perfect Packing, CRC Press, 2000.
Westbrook, C. D., Ball, R. C., Field, P. R., and Heymsfield, A. J.:
Universality in snowflake aggregation, Geophys. Res. Lett., 31, L15104, https://doi.org/10.1029/2004GL020363,
2004.
Williams, R. A. and Jia, X. D.: A new method for prediction of bulk particle
packing behavior for arbitrary-shaped particles in containers of any shape,
Part. Sci. Technol., 21, 195–205, 2003.
Yurkin, M. A. and Hoekstra, A. G.: The discrete-dipole-approximation code
ADDA: Capabilities and known limitations, J. Quant. Spectrosc. Ra., 112, 2234–2247, 2011.
Short summary
SCARLET-1.0 is a MATLAB package that creates virtual aggregates starting from a population of irregular shapes. Shapes are described in terms of the Standard Triangulation Language (STL) format, and this allows importing a great variety of shapes, such as from 3D scanning. The package produces a new STL file as an output and different analytical information about the packing, such as the porosity. It has been specifically designed for use in volcanology and scientific education.
SCARLET-1.0 is a MATLAB package that creates virtual aggregates starting from a population of...