Articles | Volume 14, issue 12
https://doi.org/10.5194/essd-14-5309-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-14-5309-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Data description paper
| 
02 Dec 2022
Data description paper |
| 02 Dec 2022
| 02 Dec 2022
Long-term ash dispersal dataset of the Sakurajima Taisho eruption for ashfall disaster countermeasure
Haris Rahadianto
CORRESPONDING AUTHOR
Department of Social Informatics, Graduate School of Informatics, Kyoto University, Kyoto 606-8501, Japan
Disaster Prevention Research Institute, Kyoto University, Uji
611-0011, Japan
Hirokazu Tatano
Disaster Prevention Research Institute, Kyoto University, Uji
611-0011, Japan
Masato Iguchi
Sakurajima Volcano Research Center, Disaster Prevention Research
Institute, Kyoto University, Sakurajima 851-1419, Japan
Hiroshi L. Tanaka
Center for Computational Sciences, Division of Global Environmental
Science, University of Tsukuba, Ibaraki 305-8577, Japan
Tetsuya Takemi
Disaster Prevention Research Institute, Kyoto University, Uji
611-0011, Japan
Sudip Roy
Department of Computer Science and Engineering, Indian Institute of
Technology Roorkee, Roorkee, Uttarakhand 247-667, India
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Shao-Yi Lee, Sicheng He, and Tetsuya Takemi
EGUsphere, https://doi.org/10.5194/egusphere-2024-1304, https://doi.org/10.5194/egusphere-2024-1304, 2024
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Summer rainfall extremes over western Japan were calculated every year, using radar, rain-gauges, and model. Similar regions were determined by machine learning. The relationships between regional rainfall extremes and Pacific climate modes. The modelled relationships were similar to the observed ones for the El Niño-Southern Oscillation and the warming trend. However, the model did not reproduce the relationship for Pacific Decadal Variability.
Sung-Ho Suh, Masayuki Maki, Masato Iguchi, Dong-In Lee, Akihiko Yamaji, and Tatsuya Momotani
Atmos. Meas. Tech., 12, 5363–5379, https://doi.org/10.5194/amt-12-5363-2019, https://doi.org/10.5194/amt-12-5363-2019, 2019
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This is a fundamental study on the features of aerodynamic parameters: terminal velocity, axis ratio, and canting angle. These are necessary for developing a quantitative ash fall estimation method based on weather radar. They were analyzed under controlled conditions from laboratory free-fall experiments, since the aerodynamic properties of the particles are highly dependent on external conditions. These results will help in the development of quantitative ash estimation.
N. Žagar, A. Kasahara, K. Terasaki, J. Tribbia, and H. Tanaka
Geosci. Model Dev., 8, 1169–1195, https://doi.org/10.5194/gmd-8-1169-2015, https://doi.org/10.5194/gmd-8-1169-2015, 2015
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The article presents MODES, a new software for the analysis of properties of balanced and inertio-gravity circulations across many scales in (re)analyses, weather forecasts and climate models. The software and real-time results based on ECMWF model can be found at http://meteo.fmf.uni-lj.si/MODES. Evaluation of models' ability to reproduce the unbalanced tropical circulation is expected to provide new insights on model performance that is helpful to diagnose deficiencies and define improvements.
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Domain: ESSD – Atmosphere | Subject: Atmospheric chemistry and physics
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Piers M. Forster, Chris Smith, Tristram Walsh, William Lamb, Robin Lamboll, Bradley Hall, Mathias Hauser, Aurélien Ribes, Debbie Rosen, Nathan Gillett, Matthew D. Palmer, Joeri Rogelj, Karina von Schuckmann, Blair Trewin, Myles Allen, Robbie Andrew, Richard Betts, Tim Boyer, Carlo Buontempo, Samantha Burgess, Chiara Cagnazzo, Lijing Cheng, Pierre Friedlingstein, Andrew Gettelman, Johannes Gütschow, Masayoshi Ishii, Stuart Jenkins, Xin Lan, Colin Morice, Jens Mühle, Christopher Kadow, John Kennedy, Rachel Killick, Paul B. Krummel, Jan C. Minx, Gunnar Myhre, Vaishali Naik, Glen P. Peters, Anna Pirani, Julia Pongratz, Carl-Friedrich Schleussner, Sonia I. Seneviratne, Sophie Szopa, Peter Thorne, Mahesh V. M. Kovilakam, Elisa Majamäki, Jukka-Pekka Jalkanen, Margreet van Marle, Rachel M. Hoesly, Robert Rohde, Dominik Schumacher, Guido van der Werf, Russell Vose, Kirsten Zickfeld, Xuebin Zhang, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-149, https://doi.org/10.5194/essd-2024-149, 2024
Revised manuscript accepted for ESSD
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This paper tracks some key indicators of global warming through time, from 1850 through to the end of 2023. It is designed to give an authoritative estimate of global warming to-date and its causes. We find that in 2023, global warming reached 1.3 °C and increasing at over 0.2 °C per decade. This is caused by all time high greenhouse gas emissions.
Joshua L. Laughner, Geoffrey C. Toon, Joseph Mendonca, Christof Petri, Sébastien Roche, Debra Wunch, Jean-Francois Blavier, David W. T. Griffith, Pauli Heikkinen, Ralph F. Keeling, Matthäus Kiel, Rigel Kivi, Coleen M. Roehl, Britton B. Stephens, Bianca C. Baier, Huilin Chen, Yonghoon Choi, Nicholas M. Deutscher, Joshua P. DiGangi, Jochen Gross, Benedikt Herkommer, Pascal Jeseck, Thomas Laemmel, Xin Lan, Erin McGee, Kathryn McKain, John Miller, Isamu Morino, Justus Notholt, Hirofumi Ohyama, David F. Pollard, Markus Rettinger, Haris Riris, Constantina Rousogenous, Mahesh Kumar Sha, Kei Shiomi, Kimberly Strong, Ralf Sussmann, Yao Té, Voltaire A. Velazco, Steven C. Wofsy, Minqiang Zhou, and Paul O. Wennberg
Earth Syst. Sci. Data, 16, 2197–2260, https://doi.org/10.5194/essd-16-2197-2024, https://doi.org/10.5194/essd-16-2197-2024, 2024
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This paper describes a new version, called GGG2020, of a data set containing column-integrated observations of greenhouse and related gases (including CO2, CH4, CO, and N2O) made by ground stations located around the world. Compared to the previous version (GGG2014), improvements have been made toward site-to-site consistency. This data set plays a key role in validating space-based greenhouse gas observations and in understanding the carbon cycle.
Antonin Soulie, Claire Granier, Sabine Darras, Nicolas Zilbermann, Thierno Doumbia, Marc Guevara, Jukka-Pekka Jalkanen, Sekou Keita, Cathy Liousse, Monica Crippa, Diego Guizzardi, Rachel Hoesly, and Steven J. Smith
Earth Syst. Sci. Data, 16, 2261–2279, https://doi.org/10.5194/essd-16-2261-2024, https://doi.org/10.5194/essd-16-2261-2024, 2024
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Anthropogenic emissions are the result of transportation, power generation, industrial, residential and commercial activities as well as waste treatment and agriculture practices. This work describes the new CAMS-GLOB-ANT gridded inventory of 2000–2023 anthropogenic emissions of air pollutants and greenhouse gases. The methodology to generate the emissions is explained and the datasets are analysed and compared with publicly available global and regional inventories for selected world regions.
Declan L. Finney, Alan M. Blyth, Martin Gallagher, Huihui Wu, Graeme J. Nott, Michael I. Biggerstaff, Richard G. Sonnenfeld, Martin Daily, Dan Walker, David Dufton, Keith Bower, Steven Böing, Thomas Choularton, Jonathan Crosier, James Groves, Paul R. Field, Hugh Coe, Benjamin J. Murray, Gary Lloyd, Nicholas A. Marsden, Michael Flynn, Kezhen Hu, Navaneeth M. Thamban, Paul I. Williams, Paul J. Connolly, James B. McQuaid, Joseph Robinson, Zhiqiang Cui, Ralph R. Burton, Gordon Carrie, Robert Moore, Steven J. Abel, Dave Tiddeman, and Graydon Aulich
Earth Syst. Sci. Data, 16, 2141–2163, https://doi.org/10.5194/essd-16-2141-2024, https://doi.org/10.5194/essd-16-2141-2024, 2024
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The DCMEX (Deep Convective Microphysics Experiment) project undertook an aircraft- and ground-based measurement campaign of New Mexico deep convective clouds during July–August 2022. The campaign coordinated a broad range of instrumentation measuring aerosol, cloud physics, radar signals, thermodynamics, dynamics, electric fields, and weather. The project's objectives included the utilisation of these data with satellite observations to study the anvil cloud radiative effect.
Jianzhong Xu, Xinghua Zhang, Wenhui Zhao, Lixiang Zhai, Miao Zhong, Jinsen Shi, Junying Sun, Yanmei Liu, Conghui Xie, Yulong Tan, Kemei Li, Xinlei Ge, Qi Zhang, and Shichang Kang
Earth Syst. Sci. Data, 16, 1875–1900, https://doi.org/10.5194/essd-16-1875-2024, https://doi.org/10.5194/essd-16-1875-2024, 2024
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A comprehensive aerosol observation project was carried out in the Tibetan Plateau (TP) and its surroundings in recent years to investigate the properties and sources of atmospheric aerosols as well as their regional differences by performing multiple intensive field observations. The release of this dataset can provide basic and systematic data for related research in the atmospheric, cryospheric, and environmental sciences in this unique region.
Xiaoyong Zhuge, Xiaolei Zou, Lu Yu, Xin Li, Mingjian Zeng, Yilun Chen, Bing Zhang, Bin Yao, Fei Tang, Fengjiao Chen, and Wanlin Kan
Earth Syst. Sci. Data, 16, 1747–1769, https://doi.org/10.5194/essd-16-1747-2024, https://doi.org/10.5194/essd-16-1747-2024, 2024
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The Himawari-8/9 level-2 operational cloud product has a low spatial resolution and is available only during the daytime. To supplement this official dataset, a new dataset named the NJIAS Himawari-8/9 Cloud Feature Dataset (HCFD) was constructed. The NJIAS HCFD provides a comprehensive description of cloud features over the East Asia and west North Pacific regions for the years 2016–2022 by 30 retrieved cloud variables. The NJIAS HCFD has been demonstrated to outperform the official dataset.
Honglin Pan, Jianping Huang, Jiming Li, Zhongwei Huang, Minzhong Wang, Ali Mamtimin, Wen Huo, Fan Yang, Tian Zhou, and Kanike Raghavendra Kumar
Earth Syst. Sci. Data, 16, 1185–1207, https://doi.org/10.5194/essd-16-1185-2024, https://doi.org/10.5194/essd-16-1185-2024, 2024
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We applied several correction procedures and rigorously checked for data quality constraints during the long observation period spanning almost 14 years (2007–2020). Nevertheless, some uncertainties remain, mainly due to technical constraints and limited documentation of the measurements. Even though not completely accurate, this strategy is expected to at least reduce the inaccuracy of the computed characteristic value of aerosol optical parameters.
Julie Christin Schindlbeck-Belo, Matthew Toohey, Marion Jegen, Steffen Kutterolf, and Kira Rehfeld
Earth Syst. Sci. Data, 16, 1063–1081, https://doi.org/10.5194/essd-16-1063-2024, https://doi.org/10.5194/essd-16-1063-2024, 2024
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Volcanic forcing of climate resulting from major explosive eruptions is a dominant natural driver of past climate variability. To support model studies of the potential impacts of explosive volcanism on climate variability across timescales, we present an ensemble reconstruction of volcanic stratospheric sulfur injection over the last 140 000 years that is based primarily on tephra records.
Sabrina Schnitt, Andreas Foth, Heike Kalesse-Los, Mario Mech, Claudia Acquistapace, Friedhelm Jansen, Ulrich Löhnert, Bernhard Pospichal, Johannes Röttenbacher, Susanne Crewell, and Bjorn Stevens
Earth Syst. Sci. Data, 16, 681–700, https://doi.org/10.5194/essd-16-681-2024, https://doi.org/10.5194/essd-16-681-2024, 2024
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This publication describes the microwave radiometric measurements performed during the EUREC4A campaign at Barbados Cloud Observatory (BCO) and aboard RV Meteor and RV Maria S Merian. We present retrieved integrated water vapor (IWV), liquid water path (LWP), and temperature and humidity profiles as a unified, quality-controlled, multi-site data set on a 3 s temporal resolution for a core period between 19 January 2020 and 14 February 2020.
Daniela Meloni, Filippo Calì Quaglia, Virginia Ciardini, Annalisa Di Bernardino, Tatiana Di Iorio, Antonio Iaccarino, Giovanni Muscari, Giandomenico Pace, Claudio Scarchilli, and Alcide di Sarra
Earth Syst. Sci. Data, 16, 543–566, https://doi.org/10.5194/essd-16-543-2024, https://doi.org/10.5194/essd-16-543-2024, 2024
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Solar and infrared radiation are key factors in determining Arctic climate. Only a few sites in the Arctic perform long-term measurements of the surface radiation budget (SRB). At the Thule High Arctic Atmospheric Observatory (THAAO, 76.5° N, 68.8° W) in Northern Greenland, solar and infrared irradiance measurements were started in 2009. These data are of paramount importance in studying the impact of the atmospheric (mainly clouds and aerosols) and surface (albedo) parameters on the SRB.
Karoline Block, Mahnoosh Haghighatnasab, Daniel G. Partridge, Philip Stier, and Johannes Quaas
Earth Syst. Sci. Data, 16, 443–470, https://doi.org/10.5194/essd-16-443-2024, https://doi.org/10.5194/essd-16-443-2024, 2024
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Aerosols being able to act as condensation nuclei for cloud droplets (CCNs) are a key element in cloud formation but very difficult to determine. In this study we present a new global vertically resolved CCN dataset for various humidity conditions and aerosols. It is obtained using an atmospheric model (CAMS reanalysis) that is fed by satellite observations of light extinction (AOD). We investigate and evaluate the abundance of CCNs in the atmosphere and their temporal and spatial occurrence.
Jianping Guo, Jian Zhang, Jia Shao, Tianmeng Chen, Kaixu Bai, Yuping Sun, Ning Li, Jingyan Wu, Rui Li, Jian Li, Qiyun Guo, Jason B. Cohen, Panmao Zhai, Xiaofeng Xu, and Fei Hu
Earth Syst. Sci. Data, 16, 1–14, https://doi.org/10.5194/essd-16-1-2024, https://doi.org/10.5194/essd-16-1-2024, 2024
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A global continental merged high-resolution (PBLH) dataset with good accuracy compared to radiosonde is generated via machine learning algorithms, covering the period from 2011 to 2021 with 3-hour and 0.25º resolution in space and time. The machine learning model takes parameters derived from the ERA5 reanalysis and GLDAS product as input, with PBLH biases between radiosonde and ERA5 as the learning targets. The merged PBLH is the sum of the predicted PBLH bias and the PBLH from ERA5.
Karam Mansour, Stefano Decesari, Darius Ceburnis, Jurgita Ovadnevaite, Lynn M. Russell, Marco Paglione, Laurent Poulain, Shan Huang, Colin O'Dowd, and Matteo Rinaldi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-352, https://doi.org/10.5194/essd-2023-352, 2023
Revised manuscript accepted for ESSD
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We propose a machine learning predictive algorithm to model unprecedented high-resolution and long-term datasets of in-situ produced biogenic methanesulfonic acid and sulfate concentrations in the North Atlantic Ocean. The improved parameterizations of biogenic sulfur aerosols at regional scales are essential for determining their radiative forcing, which could help further understand oceanic sulfur-aerosol-cloud interactions and aim at reducing uncertainties in climate models.
Karina E. Adcock, Penelope A. Pickers, Andrew C. Manning, Grant L. Forster, Leigh S. Fleming, Thomas Barningham, Philip A. Wilson, Elena A. Kozlova, Marica Hewitt, Alex J. Etchells, and Andy J. Macdonald
Earth Syst. Sci. Data, 15, 5183–5206, https://doi.org/10.5194/essd-15-5183-2023, https://doi.org/10.5194/essd-15-5183-2023, 2023
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We present a 12-year time series of continuous atmospheric measurements of O2 and CO2 at the Weybourne Atmospheric Observatory in the United Kingdom. These measurements are combined into the term atmospheric potential oxygen (APO), a tracer that is not influenced by land biosphere processes. The datasets show a long-term increasing trend in CO2 and decreasing trends in O2 and APO between 2010 and 2021.
Nikos Benas, Irina Solodovnik, Martin Stengel, Imke Hüser, Karl-Göran Karlsson, Nina Håkansson, Erik Johansson, Salomon Eliasson, Marc Schröder, Rainer Hollmann, and Jan Fokke Meirink
Earth Syst. Sci. Data, 15, 5153–5170, https://doi.org/10.5194/essd-15-5153-2023, https://doi.org/10.5194/essd-15-5153-2023, 2023
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This paper describes CLAAS-3, the third edition of the Cloud property dAtAset using SEVIRI, which was created based on observations from geostationary Meteosat satellites. CLAAS-3 cloud properties are evaluated using a variety of reference datasets, with very good overall results. The demonstrated quality of CLAAS-3 ensures its usefulness in a wide range of applications, including studies of local- to continental-scale cloud processes and evaluation of climate models.
Sandip S. Dhomse and Martyn P. Chipperfield
Earth Syst. Sci. Data, 15, 5105–5120, https://doi.org/10.5194/essd-15-5105-2023, https://doi.org/10.5194/essd-15-5105-2023, 2023
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There are no long-term stratospheric profile data sets for two very important greenhouse gases: methane (CH4) and nitrous oxide (N2O). Along with radiative feedback, these species play an important role in controlling ozone loss in the stratosphere. Here, we use machine learning to fuse satellite measurements with a chemical model to construct long-term gap-free profile data sets for CH4 and N2O. We aim to construct similar data sets for other important trace gases (e.g. O3, Cly, NOy species).
David Winker, Xia Cai, Mark Vaughan, Anne Garnier, Brian Magill, Melody Avery, and Brian Getzewich
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-373, https://doi.org/10.5194/essd-2023-373, 2023
Revised manuscript accepted for ESSD
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Clouds play important roles in both weather and climate. We describe Version 1.0 of a monthly globally gridded ice cloud data product containing vertically resolved statistics on the occurrence and properties of ice clouds, built from the curtains of lidar profile data from the CALIPSO satellite acquired over a 10-year period. This product should provide significant value for cloud research and the evaluation of clouds simulated in weather and climate models.
Tobias Erhardt, Camilla Marie Jensen, Florian Adolphi, Helle Astrid Kjær, Remi Dallmayr, Birthe Twarloh, Melanie Behrens, Motohiro Hirabayashi, Kaori Fukuda, Jun Ogata, François Burgay, Federico Scoto, Ilaria Crotti, Azzurra Spagnesi, Niccoló Maffezzoli, Delia Segato, Chiara Paleari, Florian Mekhaldi, Raimund Muscheler, Sophie Darfeuil, and Hubertus Fischer
Earth Syst. Sci. Data, 15, 5079–5091, https://doi.org/10.5194/essd-15-5079-2023, https://doi.org/10.5194/essd-15-5079-2023, 2023
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The presented paper provides a 3.8 kyr long dataset of aerosol concentrations from the East Greenland Ice coring Project (EGRIP) ice core. The data consists of 1 mm depth-resolution profiles of calcium, sodium, ammonium, nitrate, and electrolytic conductivity as well as decadal averages of these profiles. Alongside the data a detailed description of the measurement setup as well as a discussion of the uncertainties are given.
Hongfei Hao, Kaicun Wang, Chuanfeng Zhao, Guocan Wu, and Jing Li
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-447, https://doi.org/10.5194/essd-2023-447, 2023
Revised manuscript accepted for ESSD
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In this study, we employed a machine learning technique to derive daily AOD from hourly visibility collected at more 5000 airports worldwide from 1980 to 2021 combined with reanalysis meteorological parameters.
Arndt Kaps, Axel Lauer, Rémi Kazeroni, Martin Stengel, and Veronika Eyring
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2023-424, https://doi.org/10.5194/essd-2023-424, 2023
Revised manuscript accepted for ESSD
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CCClim displays observations of clouds in terms of cloud classes that have been in use for a long time. CCClim is a machine-learning-powered product based on multiple existing observational products from different satellites. We show that the cloud classes in CCClim are physically meaningful and can be used to study cloud characteristics in more detail. The goal of this is to make real-world clouds more easily understandable to eventually improve the simulation of clouds in climate models.
Chaoyang Xue, Gisèle Krysztofiak, Vanessa Brocchi, Stéphane Chevrier, Michel Chartier, Patrick Jacquet, Claude Robert, and Valéry Catoire
Earth Syst. Sci. Data, 15, 4553–4569, https://doi.org/10.5194/essd-15-4553-2023, https://doi.org/10.5194/essd-15-4553-2023, 2023
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To understand tropospheric air pollution at regional and global scales, an infrared laser spectrometer called SPIRIT was used on aircraft to rapidly and accurately measure carbon monoxide (CO), an important indicator of air pollution, during the last decade. Measurements were taken for more than 200 flight hours over three continents. Levels of CO are mapped with 3D trajectories for each flight. Additionally, this can be used to validate model performance and satellite measurements.
Goutam Choudhury and Matthias Tesche
Earth Syst. Sci. Data, 15, 3747–3760, https://doi.org/10.5194/essd-15-3747-2023, https://doi.org/10.5194/essd-15-3747-2023, 2023
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Aerosols in the atmosphere that can form liquid cloud droplets are called cloud condensation nuclei (CCN). Accurate measurements of CCN, especially CCN of anthropogenic origin, are necessary to quantify the effect of anthropogenic aerosols on the present-day as well as future climate. In this paper, we describe a novel global 3D CCN data set calculated from satellite measurements. We also discuss the potential applications of the data in the context of aerosol–cloud interactions.
Xinyan Liu, Tao He, Shunlin Liang, Ruibo Li, Xiongxin Xiao, Rui Ma, and Yichuan Ma
Earth Syst. Sci. Data, 15, 3641–3671, https://doi.org/10.5194/essd-15-3641-2023, https://doi.org/10.5194/essd-15-3641-2023, 2023
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We proposed a data fusion strategy that combines the complementary features of multiple-satellite cloud fraction (CF) datasets and generated a continuous monthly 1° daytime cloud fraction product covering the entire Arctic during the sunlit months in 2000–2020. This study has positive significance for reducing the uncertainties for the assessment of surface radiation fluxes and improving the accuracy of research related to climate change and energy budgets, both regionally and globally.
Shoma Yamanouchi, Stephanie Conway, Kimberly Strong, Orfeo Colebatch, Erik Lutsch, Sébastien Roche, Jeffrey Taylor, Cynthia H. Whaley, and Aldona Wiacek
Earth Syst. Sci. Data, 15, 3387–3418, https://doi.org/10.5194/essd-15-3387-2023, https://doi.org/10.5194/essd-15-3387-2023, 2023
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Nineteen years of atmospheric composition measurements made at the University of Toronto Atmospheric Observatory (TAO; 43.66° N, 79.40° W; 174 m.a.s.l.) are presented. These are retrieved from Fourier transform infrared (FTIR) solar absorption spectra recorded with a spectrometer from May 2002 to December 2020. The retrievals have been optimized for fourteen species: O3, HCl, HF, HNO3, CH4, C2H6, CO, HCN, N2O, C2H2, H2CO, CH3OH, HCOOH, and NH3.
Michael J. Prather, Hao Guo, and Xin Zhu
Earth Syst. Sci. Data, 15, 3299–3349, https://doi.org/10.5194/essd-15-3299-2023, https://doi.org/10.5194/essd-15-3299-2023, 2023
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The Atmospheric Tomography Mission (ATom) measured the chemical composition in air parcels from 0–12 km altitude on 2 km horizontal by 80 m vertical scales for four seasons, resolving most scales of chemical heterogeneity. ATom is one of the first missions designed to calculate the chemical evolution of each parcel, providing semi-global diurnal budgets for ozone and methane. Observations covered the remote troposphere: Pacific and Atlantic Ocean basins, Southern Ocean, Arctic basin, Antarctica.
Marie Dumont, Simon Gascoin, Marion Réveillet, Didier Voisin, François Tuzet, Laurent Arnaud, Mylène Bonnefoy, Montse Bacardit Peñarroya, Carlo Carmagnola, Alexandre Deguine, Aurélie Diacre, Lukas Dürr, Olivier Evrard, Firmin Fontaine, Amaury Frankl, Mathieu Fructus, Laure Gandois, Isabelle Gouttevin, Abdelfateh Gherab, Pascal Hagenmuller, Sophia Hansson, Hervé Herbin, Béatrice Josse, Bruno Jourdain, Irene Lefevre, Gaël Le Roux, Quentin Libois, Lucie Liger, Samuel Morin, Denis Petitprez, Alvaro Robledano, Martin Schneebeli, Pascal Salze, Delphine Six, Emmanuel Thibert, Jürg Trachsel, Matthieu Vernay, Léo Viallon-Galinier, and Céline Voiron
Earth Syst. Sci. Data, 15, 3075–3094, https://doi.org/10.5194/essd-15-3075-2023, https://doi.org/10.5194/essd-15-3075-2023, 2023
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Saharan dust outbreaks have profound effects on ecosystems, climate, health, and the cryosphere, but the spatial deposition pattern of Saharan dust is poorly known. Following the extreme dust deposition event of February 2021 across Europe, a citizen science campaign was launched to sample dust on snow over the Pyrenees and the European Alps. This campaign triggered wide interest and over 100 samples. The samples revealed the high variability of the dust properties within a single event.
Han Huang and Yi Huang
Earth Syst. Sci. Data, 15, 3001–3021, https://doi.org/10.5194/essd-15-3001-2023, https://doi.org/10.5194/essd-15-3001-2023, 2023
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We present a newly generated set of ERA5-based radiative kernels and compare them with other published kernels for the top of the atmosphere and surface radiation budgets. For both, the discrepancies in sensitivity values are generally of small magnitude, except for temperature kernels for the surface, likely due to improper treatment in the perturbation experiments used for kernel computation. The kernel bias is not a major cause of the inter-GCM (general circulation model) feedback spread.
Robert Pincus, Paul A. Hubanks, Steven Platnick, Kerry Meyer, Robert E. Holz, Denis Botambekov, and Casey J. Wall
Earth Syst. Sci. Data, 15, 2483–2497, https://doi.org/10.5194/essd-15-2483-2023, https://doi.org/10.5194/essd-15-2483-2023, 2023
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This paper describes a new global dataset of cloud properties observed by a specific satellite program created to facilitate comparison with a matching observational proxy used in climate models. Statistics are accumulated over daily and monthly timescales on an equal-angle grid. Statistics include cloud detection, cloud-top pressure, and cloud optical properties. Joint histograms of several variable pairs are also available.
Emma L. Yates, Laura T. Iraci, Susan S. Kulawik, Ju-Mee Ryoo, Josette E. Marrero, Caroline L. Parworth, Jason M. St. Clair, Thomas F. Hanisco, Thao Paul V. Bui, Cecilia S. Chang, and Jonathan M. Dean-Day
Earth Syst. Sci. Data, 15, 2375–2389, https://doi.org/10.5194/essd-15-2375-2023, https://doi.org/10.5194/essd-15-2375-2023, 2023
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The Alpha Jet Atmospheric eXperiment (AJAX) flew scientific flights between 2011 and 2018 providing measurements of carbon dioxide, methane, ozone, formaldehyde, water vapor and meteorological parameters over California and Nevada, USA. AJAX was a multi-year, multi-objective, multi-instrument program with a variety of sampling strategies resulting in an extensive dataset of interest to a wide variety of users. AJAX measurements have been published at https://asdc.larc.nasa.gov/project/AJAX.
Leïla Simon, Valérie Gros, Jean-Eudes Petit, François Truong, Roland Sarda-Estève, Carmen Kalalian, Alexia Baudic, Caroline Marchand, and Olivier Favez
Earth Syst. Sci. Data, 15, 1947–1968, https://doi.org/10.5194/essd-15-1947-2023, https://doi.org/10.5194/essd-15-1947-2023, 2023
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Long-term measurements of volatile organic compounds (VOCs) have been set up to better characterize the atmospheric chemistry at the SIRTA national facility (Paris area, France). Results obtained from the first 2 years (2020–2021) confirm the importance of local sources for short-lived compounds and the role played by meteorology and air mass origins in the long-term analysis of VOCs. They also point to a substantial influence of anthropogenic on the monoterpene loadings.
Ka Lok Chan, Pieter Valks, Klaus-Peter Heue, Ronny Lutz, Pascal Hedelt, Diego Loyola, Gaia Pinardi, Michel Van Roozendael, François Hendrick, Thomas Wagner, Vinod Kumar, Alkis Bais, Ankie Piters, Hitoshi Irie, Hisahiro Takashima, Yugo Kanaya, Yongjoo Choi, Kihong Park, Jihyo Chong, Alexander Cede, Udo Frieß, Andreas Richter, Jianzhong Ma, Nuria Benavent, Robert Holla, Oleg Postylyakov, Claudia Rivera Cárdenas, and Mark Wenig
Earth Syst. Sci. Data, 15, 1831–1870, https://doi.org/10.5194/essd-15-1831-2023, https://doi.org/10.5194/essd-15-1831-2023, 2023
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This paper presents the theoretical basis as well as verification and validation of the Global Ozone Monitoring Experiment-2 (GOME-2) daily and monthly level-3 products.
Kristina Collins, John Gibbons, Nathaniel Frissell, Aidan Montare, David Kazdan, Darren Kalmbach, David Swartz, Robert Benedict, Veronica Romanek, Rachel Boedicker, William Liles, William Engelke, David G. McGaw, James Farmer, Gary Mikitin, Joseph Hobart, George Kavanagh, and Shibaji Chakraborty
Earth Syst. Sci. Data, 15, 1403–1418, https://doi.org/10.5194/essd-15-1403-2023, https://doi.org/10.5194/essd-15-1403-2023, 2023
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This paper summarizes radio data collected by citizen scientists, which can be used to analyze the charged part of Earth's upper atmosphere. The data are collected from several independent stations. We show ways to look at the data from one station or multiple stations over different periods of time and how it can be combined with data from other sources as well. The code provided to make these visualizations will still work if some data are missing or when more data are added in the future.
Melisa Diaz Resquin, Pablo Lichtig, Diego Alessandrello, Marcelo De Oto, Darío Gómez, Cristina Rössler, Paula Castesana, and Laura Dawidowski
Earth Syst. Sci. Data, 15, 189–209, https://doi.org/10.5194/essd-15-189-2023, https://doi.org/10.5194/essd-15-189-2023, 2023
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We explored the performance of the random forest algorithm to predict CO, NOx, PM10, SO2, and O3 air quality concentrations and comparatively assessed the monitored and modeled concentrations during the COVID-19 lockdown phases. We provide the first long-term O3 and SO2 observational dataset for an urban–residential area of Buenos Aires in more than a decade and study the responses of O3 to the reduction in the emissions of its precursors because of its relevance regarding emission control.
Vitali E. Fioletov, Chris A. McLinden, Debora Griffin, Ihab Abboud, Nickolay Krotkov, Peter J. T. Leonard, Can Li, Joanna Joiner, Nicolas Theys, and Simon Carn
Earth Syst. Sci. Data, 15, 75–93, https://doi.org/10.5194/essd-15-75-2023, https://doi.org/10.5194/essd-15-75-2023, 2023
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Sulfur dioxide (SO2) measurements from three satellite instruments were used to update and extend the previously developed global catalogue of large SO2 emission sources. This version 2 of the global catalogue covers the period of 2005–2021 and includes a total of 759 continuously emitting point sources. The catalogue data show an approximate 50 % decline in global SO2 emissions between 2005 and 2021, although emissions were relatively stable during the last 3 years.
Jed O. Kaplan and Katie Hong-Kiu Lau
Earth Syst. Sci. Data, 14, 5665–5670, https://doi.org/10.5194/essd-14-5665-2022, https://doi.org/10.5194/essd-14-5665-2022, 2022
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Global lightning strokes are recorded continuously by a network of ground-based stations. We consolidated these point observations into a map form and provide these as electronic datasets for research purposes. Here we extend our dataset to include lightning observations from 2021.
Xiangyue Chen, Hongchao Zuo, Zipeng Zhang, Xiaoyi Cao, Jikai Duan, Chuanmei Zhu, Zhe Zhang, and Jingzhe Wang
Earth Syst. Sci. Data, 14, 5233–5252, https://doi.org/10.5194/essd-14-5233-2022, https://doi.org/10.5194/essd-14-5233-2022, 2022
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Arid and semi-arid areas are data-scarce aerosol areas. We provide path-breaking, high-resolution, full coverage, and long time series AOD datasets (FEC AOD) to support the atmosphere and related studies in northwestern China. The FEC AOD effectively compensates for the deficiency and constraints of in situ observations and satellite AOD products. Meanwhile, FEC AOD products demonstrate a reliable accuracy and ability to capture long-term change information.
Natalie Kaifler, Bernd Kaifler, Markus Rapp, and David C. Fritts
Earth Syst. Sci. Data, 14, 4923–4934, https://doi.org/10.5194/essd-14-4923-2022, https://doi.org/10.5194/essd-14-4923-2022, 2022
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We measured polar mesospheric clouds (PMCs), our Earth’s highest clouds at the edge of space, with a Rayleigh lidar from a stratospheric balloon. We describe how we derive the cloud’s brightness and discuss the stability of the gondola pointing and the sensitivity of our measurements. We present our high-resolution PMC dataset that is used to study dynamical processes in the upper mesosphere, e.g. regarding gravity waves, mesospheric bores, vortex rings, and Kelvin–Helmholtz instabilities.
Yi Cheng, Shaofei Kong, Liquan Yao, Huang Zheng, Jian Wu, Qin Yan, Shurui Zheng, Yao Hu, Zhenzhen Niu, Yingying Yan, Zhenxing Shen, Guofeng Shen, Dantong Liu, Shuxiao Wang, and Shihua Qi
Earth Syst. Sci. Data, 14, 4757–4775, https://doi.org/10.5194/essd-14-4757-2022, https://doi.org/10.5194/essd-14-4757-2022, 2022
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This work establishes the first emission inventory of carbonaceous aerosols from cooking, fireworks, sacrificial incense, joss paper burning, and barbecue, using multi-source datasets and tested emission factors. These emissions were concentrated in specific periods and areas. Positive and negative correlations between income and emissions were revealed in urban and rural regions. The dataset will be helpful for improving modeling studies and modifying corresponding emission control policies.
Qiang Cui, Yilin Lei, and Bin Chen
Earth Syst. Sci. Data, 14, 4419–4433, https://doi.org/10.5194/essd-14-4419-2022, https://doi.org/10.5194/essd-14-4419-2022, 2022
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This paper calculates the emissions of six kinds of emissions from China’s foreign routes from 2014 to 2019, enriching the existing database. This paper applies the improved BFFM2-FOA-FPM method and ICAO method to calculate the emissions, which can combine CO2 and non-CO2 emissions calculations and calculate the aircraft types' emission intensity.
Mengze Li, Andrea Pozzer, Jos Lelieveld, and Jonathan Williams
Earth Syst. Sci. Data, 14, 4351–4364, https://doi.org/10.5194/essd-14-4351-2022, https://doi.org/10.5194/essd-14-4351-2022, 2022
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We present a northern hemispheric airborne measurement dataset of atmospheric ethane, propane and methane and temporal trends for the time period 2006–2016 in the upper troposphere and lower stratosphere. The growth rates of ethane, methane, and propane in the upper troposphere are -2.24, 0.33, and -0.78 % yr-1, respectively, and in the lower stratosphere they are -3.27, 0.26, and -4.91 % yr-1, respectively, in 2006–2016.
Malika Menoud, Carina van der Veen, Dave Lowry, Julianne M. Fernandez, Semra Bakkaloglu, James L. France, Rebecca E. Fisher, Hossein Maazallahi, Mila Stanisavljević, Jarosław Nęcki, Katarina Vinkovic, Patryk Łakomiec, Janne Rinne, Piotr Korbeń, Martina Schmidt, Sara Defratyka, Camille Yver-Kwok, Truls Andersen, Huilin Chen, and Thomas Röckmann
Earth Syst. Sci. Data, 14, 4365–4386, https://doi.org/10.5194/essd-14-4365-2022, https://doi.org/10.5194/essd-14-4365-2022, 2022
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Emission sources of methane (CH4) can be distinguished with measurements of CH4 stable isotopes. We present new measurements of isotope signatures of various CH4 sources in Europe, mainly anthropogenic, sampled from 2017 to 2020. The present database also contains the most recent update of the global signature dataset from the literature. The dataset improves CH4 source attribution and the understanding of the global CH4 budget.
Patrick Hupe, Lars Ceranna, Alexis Le Pichon, Robin S. Matoza, and Pierrick Mialle
Earth Syst. Sci. Data, 14, 4201–4230, https://doi.org/10.5194/essd-14-4201-2022, https://doi.org/10.5194/essd-14-4201-2022, 2022
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Sound waves with frequencies below the human hearing threshold can travel long distances through the atmosphere. A global network of sensors records such infrasound to detect clandestine nuclear tests in the atmosphere. These data are generally not public. This study provides four data products based on global infrasound signal detections to make infrasound data available to a broad community. This will advance the use of infrasound observations for scientific studies and civilian applications.
Zexia Duan, Zhiqiu Gao, Qing Xu, Shaohui Zhou, Kai Qin, and Yuanjian Yang
Earth Syst. Sci. Data, 14, 4153–4169, https://doi.org/10.5194/essd-14-4153-2022, https://doi.org/10.5194/essd-14-4153-2022, 2022
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Land–atmosphere interactions over the Yangtze River Delta (YRD) in China are becoming more varied and complex, as the area is experiencing rapid land use changes. In this paper, we describe a dataset of microclimate and eddy covariance variables at four sites in the YRD. This dataset has potential use cases in multiple research fields, such as boundary layer parametrization schemes, evaluation of remote sensing algorithms, and development of climate models in typical East Asian monsoon regions.
Xiaoli Sun, Paul T. Kolbeck, James B. Abshire, Stephan R. Kawa, and Jianping Mao
Earth Syst. Sci. Data, 14, 3821–3833, https://doi.org/10.5194/essd-14-3821-2022, https://doi.org/10.5194/essd-14-3821-2022, 2022
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We describe the measurement and data processing of the atmospheric backscatter profile data by our CO2 Sounder lidar from the 2017 ASCENDS/ABoVE airborne campaign. It is an additional data set from the column average CO2 mixing ratio measurements from laser sounding. It not only helps to interpret the CO2 mixing ratio measurement but also give a standalone data set for atmosphere backscattering study at 1572 nm wavelength.
Lei Li, Yevgeny Derimian, Cheng Chen, Xindan Zhang, Huizheng Che, Gregory L. Schuster, David Fuertes, Pavel Litvinov, Tatyana Lapyonok, Anton Lopatin, Christian Matar, Fabrice Ducos, Yana Karol, Benjamin Torres, Ke Gui, Yu Zheng, Yuanxin Liang, Yadong Lei, Jibiao Zhu, Lei Zhang, Junting Zhong, Xiaoye Zhang, and Oleg Dubovik
Earth Syst. Sci. Data, 14, 3439–3469, https://doi.org/10.5194/essd-14-3439-2022, https://doi.org/10.5194/essd-14-3439-2022, 2022
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A climatology of aerosol composition concentration derived from POLDER-3 observations using GRASP/Component is presented. The conceptual specifics of the GRASP/Component approach are in the direct retrieval of aerosol speciation without intermediate retrievals of aerosol optical characteristics. The dataset of satellite-derived components represents scarce but imperative information for validation and potential adjustment of chemical transport models.
Junting Zhong, Xiaoye Zhang, Ke Gui, Jie Liao, Ye Fei, Lipeng Jiang, Lifeng Guo, Liangke Liu, Huizheng Che, Yaqiang Wang, Deying Wang, and Zijiang Zhou
Earth Syst. Sci. Data, 14, 3197–3211, https://doi.org/10.5194/essd-14-3197-2022, https://doi.org/10.5194/essd-14-3197-2022, 2022
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Historical long-term PM2.5 records with high temporal resolution are essential but lacking for research and environmental management. Here, we reconstruct site-based and gridded PM2.5 datasets at 6-hour intervals from 1960 to 2020 that combine visibility, meteorological data, and emissions based on a machine learning model with extracted spatial features. These two PM2.5 datasets will lay the foundation of research studies associated with air pollution, climate change, and aerosol reanalysis.
Fei Jiang, Weimin Ju, Wei He, Mousong Wu, Hengmao Wang, Jun Wang, Mengwei Jia, Shuzhuang Feng, Lingyu Zhang, and Jing M. Chen
Earth Syst. Sci. Data, 14, 3013–3037, https://doi.org/10.5194/essd-14-3013-2022, https://doi.org/10.5194/essd-14-3013-2022, 2022
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A 10-year (2010–2019) global monthly terrestrial NEE dataset (GCAS2021) was inferred from the GOSAT ACOS v9 XCO2 product. It shows strong carbon sinks over eastern N. America, the Amazon, the Congo Basin, Europe, boreal forests, southern China, and Southeast Asia. It has good quality and can reflect the impacts of extreme climates and large-scale climate anomalies on carbon fluxes well. We believe that this dataset can contribute to regional carbon budget assessment and carbon dynamics research.
Cited articles
Abe, N.: Sentence BERT Base Japanese Model, Python, Colorful Scoop, https://huggingface.co/colorfulscoop/sbert-base-ja
(last access: 31 January 2022), 2021.
Agirre, E., Cer, D., Diab, M., and Gonzalez-Agirre, A.: SemEval-2012 Task 6:
A pilot on semantic textual similarity, in: Proceedings of the Sixth
International Workshop on Semantic Evaluation (SemEval 2012), SEM 2012: The
First Joint Conference on Lexical and Computational Semantics, Montréal,
Canada, 385–393, https://aclanthology.org/S12-1051 (last access: 31 January 2022), 2012.
Arsov, N., Dukovski, M., Evkoski, B., and Cvetkovski, S.: A Measure of
Similarity in Textual Data Using Spearman's Rank Correlation Coefficient,
arXiv [preprint], https://doi.org/10.48550/arXiv.1911.11750, 2019.
Ayris, P. M. and Delmelle, P.: The immediate environmental effects of tephra
emission, B. Volcanol., 74, 1905–1936,
https://doi.org/10.1007/s00445-012-0654-5, 2012.
Barsotti, S., Andronico, D., Neri, A., Del Carlo, P., Baxter, P. J.,
Aspinall, W. P., and Hincks, T.: Quantitative assessment of volcanic ash
hazards for health and infrastructure at Mt. Etna (Italy) by numerical
simulation, J. Volcanol. Geoth. Res., 192, 85–96,
https://doi.org/10.1016/j.jvolgeores.2010.02.011, 2010.
Barsotti, S., Di Rienzo, D. I., Thordarson, T., Björnsson, B. B., and
Karlsdóttir, S.: Assessing impact to infrastructures due to tephra
fallout from Öræfajökull volcano (Iceland) by using a
scenario-based approach and a numerical model, Front. Earth Sci., 6, 196,
https://doi.org/10.3389/feart.2018.00196, 2018.
Biass, S., Scaini, C., Bonadonna, C., Folch, A., Smith, K., and Höskuldsson, A.: A multi-scale risk assessment for tephra fallout and airborne concentration from multiple Icelandic volcanoes – Part 1: Hazard assessment, Nat. Hazards Earth Syst. Sci., 14, 2265–2287, https://doi.org/10.5194/nhess-14-2265-2014, 2014.
Biass, S., Bonadonna, C., di Traglia, F., Pistolesi, M., Rosi, M., and
Lestuzzi, P.: Probabilistic evaluation of the physical impact of future
tephra fallout events for the Island of Vulcano, Italy, B. Volcanol, 78,
37, https://doi.org/10.1007/s00445-016-1028-1, 2016.
Biass, S., Todde, A., Cioni, R., Pistolesi, M., Geshi, N., and Bonadonna,
C.: Potential impacts of tephra fallout from a large-scale explosive
eruption at Sakurajima volcano, Japan, B. Volcanol., 79, 73,
https://doi.org/10.1007/s00445-017-1153-5, 2017.
Bonadonna, C.: Probabilistic modelling of tephra dispersion, in: Statistics
in Volcanology, Special Publications of IAVCEI, 1, edited by: Mader, H. M.,
Coles, S. G., Connor, C. B., and Connor, L. J., The Geological Society of
London on behalf of The International Association of Volcanology and
Chemistry of the Earth's Interior, 243–259,
https://doi.org/10.1144/IAVCEI001.19, 2006.
Bonadonna, C., Ernst, G. G. J., and Sparks, R. S. J.: Thickness variations
and volume estimates of tephra fall deposits: The importance of particle
Reynolds number, J. Volcanol. Geoth. Res., 81, 173–187,
https://doi.org/10.1016/S0377-0273(98)00007-9, 1998.
Bonadonna, C., Folch, A., Loughlin, S., and Puempel, H.: Future developments
in modelling and monitoring of volcanic ash clouds: Outcomes from the first
IAVCEI-WMO workshop on Ash Dispersal Forecast and Civil Aviation, B.
Volcanol., 74, 1–10, https://doi.org/10.1007/s00445-011-0508-6, 2012.
Bonadonna, C., Biass, S., Menoni, S., and Gregg, C. E.: Assessment of risk
associated with tephra-related hazards, in: Forecasting and Planning for
Volcanic Hazards, Risks, and Disasters, 2, edited by: Schroeder, J. F.,
volume edited by: Papale, P., Elsevier, 329–378, https://doi.org/10.1016/B978-0-12-818082-2.00008-1, 2021.
Central Disaster Management Council, Executive Committee for Disaster
Prevention: Impacts of Ashfall and Countermeasures in the Tokyo Metropolitan
Area: Mt. Fuji Eruption Case, Working Group on Ashfall
Countermeasures for Large-Scale Eruptions, Cabinet Office, Government of
Japan, http://www.bousai.go.jp/kazan/kouikikouhaiworking/index.html
(last access: 26 August 2021), 2020 (in Japanese).
Cer, D., Diab, M., Agirre, E., Lopez-Gazpio, I., and Specia, L.:
SemEval-2017 Task 1: Semantic textual similarity – Multilingual and
cross-lingual focused evaluation, in: Proceedings of the 11th International
Workshop on Semantic Evaluation (SemEval-2017), 11th International Workshop
on Semantic Evaluation (SemEval-2017), Vancouver, Canada, 1–14,
https://doi.org/10.18653/v1/S17-2001, 2017.
Colorful Scoop: https://colorfulscoop.com/, last access: 27 January 2022.
Damby, D. E., Horwell, C. J., Baxter, P. J., Delmelle, P., Donaldson, K.,
Dunster, C., Fubini, B., Murphy, F. A., Nattrass, C., Sweeney, S., Tetley,
T. D., and Tomatis, M.: The respiratory health hazard of tephra from the
2010 Centennial eruption of Merapi with implications for occupational mining
of deposits, J. Volcanol. Geoth. Res., 261, 376–387,
https://doi.org/10.1016/j.jvolgeores.2012.09.001, 2013.
Database of Weather Charts for Hundred Years:
http://agora.ex.nii.ac.jp/digital-typhoon/weather-chart/, last access: 3 January 2022.
Environmental Systems Research Institute (ESRI): ArcGIS Pro 2.7, https://www.esri.com/en-us/arcgis/products/arcgis-pro/overview (last access: 31 January 2022), 2017.
Environmental Systems Research Institute (ESRI): Human geography base
[basemap], https://www.arcgis.com/home/item.html?id=2afe5b807fa74006be6363fd243ffb30 (last access: 5 November 2022), 2022.
DeepL translator: https://www.deepl.com/translator/, last access: 27 January 2022.
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K.: BERT: Pretraining of
Deep Bidirectional Transformers for Language Understanding, arXiv [preprint], https://doi.org/10.48550/arXiv.1810.04805, 2019.
Eliasson, J., Yoshitani, J., Weber, K., Yasuda, N., Iguchi, M., and Vogel,
A.: Airborne measurement in the ash plume from mount Sakurajima: Analysis of
gravitational effects on dispersion and fallout, Int. J. Atmos. Sci., 2014,
1–16, https://doi.org/10.1155/2014/372135, 2014.
Fero, J., Carey, S. N., and Merrill, J. T.: Simulation of the 1980 eruption
of Mount St. Helens using the ash-tracking model PUFF, J. Volcanol.
Geoth. Res., 175, 355–366,
https://doi.org/10.1016/j.jvolgeores.2008.03.029, 2008.
Fero, J., Carey, S. N., and Merrill, J. T.: Simulating the dispersal of
tephra from the 1991 Pinatubo eruption: Implications for the formation of
widespread ash layers, J. Volcanol. Geoth. Res., 186, 120–131,
https://doi.org/10.1016/j.jvolgeores.2009.03.011, 2009.
Folch, A.: A review of tephra transport and dispersal models: Evolution,
current status, and future perspectives, J. Volcanol. Geoth. Res.,
235–236, 96–115,
https://doi.org/10.1016/j.jvolgeores.2012.05.020, 2012.
Folch, A., Costa, A., Durant, A., and Macedonio, G.: A model for wet
aggregation of ash particles in volcanic plumes and clouds: 2. Model
application, J. Geophys. Res., 115, B09202, https://doi.org/10.1029/2009JB007176, 2010.
Folch, A., Costa, A., and Basart, S.: Validation of the FALL3D ash
dispersion model using observations of the 2010 Eyjafjallajökull
volcanic ash clouds, Atmos. Environ., 48, 165–183,
https://doi.org/10.1016/j.atmosenv.2011.06.072, 2012.
Hampton, S. J., Cole, J. W., Wilson, G., Wilson, T. M., and Broom, S.:
Volcanic ashfall accumulation and loading on gutters and pitched roofs from
laboratory empirical experiments: Implications for risk assessment, J. Volcanol. Geoth. Res., 304, 237–252,
https://doi.org/10.1016/j.jvolgeores.2015.08.012, 2015.
Hattori, Y., Suto, H., Toshida, K., and Hirakuchi, H.: Development of
Estimation Method for Tephra Transport and Dispersal Characteristics with
Numerical Simulation Technique (part 1) – Meteorological Effects on Ash
Fallout with Shinmoe-dake Eruption, Central Research Institute
of Electric Power Industry (CRIEPI), Japan, https://criepi.denken.or.jp/hokokusho/pb/reportDetail?reportNoUkCode=N14004
(last access: 21 November 2022), 2013 (in Japanese).
Hattori, Y., Suto, H., Toshida, K., and Hirakuchi, H.: Development of
Estimation Method for Tephra Transport and Dispersal Characteristics with
Numerical Simulation Technique (part 2) – A Method of Selecting
Meteorological Conditions and the Effects on Ash Deposition and
Concentration in Air for Kanto-Area, Central Research
Institute of Electric Power Industry (CRIEPI), Japan, https://criepi.denken.or.jp/hokokusho/pb/reportDetail?reportNoUkCode=O15004
(last access: 21 November 2022), 2016 (in Japanese).
Hickey, J., Gottsmann, J., Nakamichi, H., and Iguchi, M.: Thermomechanical
controls on magma supply and volcanic deformation: Application to Aira
caldera, Japan, Sci. Rep.-UK, 6, 32691,
https://doi.org/10.1038/srep32691, 2016.
Hoyer, S. and Hamman, J. J.: xarray: N-D labeled Arrays and Datasets in
Python, J. Open Res. Softw., 5, p. 10,
https://doi.org/10.5334/jors.148, 2017.
Hugging Face: The AI community building the future, https://huggingface.co/, last access: 27 January 2022.
Iguchi, M.: Sakurajima Taisho Eruption, 100th Anniversary of the Disaster
Prevention in Sakurajima, Kyoto University, Kyoto, Japan, https://www.dpri.kyoto-u.ac.jp/news/2362/ (last access: 18 December 2019), 2014 (in Japanese).
Iguchi, M.: Method for real-time evaluation of discharge rate of volcanic
ash – Case study on intermittent eruptions at the Sakurajima volcano,
Japan, J. Disaster Res., 11, 4–14,
https://doi.org/10.20965/jdr.2016.p0004, 2016.
Iguchi, M., Nakamichi, H., and Tameguri, T.: Integrated study on forecasting
volcanic hazards of Sakurajima volcano, Japan, J. Disaster Res., 15,
174–186, https://doi.org/10.20965/jdr.2020.p0174, 2020.
Japan Meteorological Agency: Daily Weather Chart,
https://www.data.jma.go.jp/fcd/yoho/hibiten/, last access: 3 January 2022.
Jenkins, S. F., Spence, R. J. S., Fonseca, J. F. B. D., Solidum, R. U., and
Wilson, T. M.: Volcanic risk assessment: Quantifying physical vulnerability
in the built environment, J. Volcanol. Geoth. Res., 276, 105–120,
https://doi.org/10.1016/j.jvolgeores.2014.03.002, 2014.
Jenkins, S. F., Wilson, T. M., Magill, C., Miller, V., Stewart, C., Blong,
R., Marzocchi, W., Boulton, M., Bonadonna, C., and Costa, A.: Volcanic ash
fall hazard and risk, in: Global Volcanic Hazards and Risk, edited by:
Loughlin, S. C., Sparks, S., Brown, S. K., Jenkins, S. F., and Vye-Brown,
C., Cambridge University Press, Cambridge, 173–222,
https://doi.org/10.1017/CBO9781316276273.005, 2015.
Jenkins, S. F., Magill, C. R., and Blong, R. J.: Evaluating relative tephra
fall hazard and risk in the Asia-Pacific region, Geosphere, 14, 492–509,
https://doi.org/10.1130/GES01549.1, 2018.
Jurafsky, D. and James, M. H.: Speech and Language Processing: An
Introduction to Natural Language Processing, Computational Linguistics, and
Speech Recognition, Prentice Hall, Upper Saddle River, NJ, ISBN 978-0-13-095069-7, 2000.
Kagoshima City, Crisis Management Division: Sakurajima Volcano Hazard Map,
Kagoshima Municipal Government, Kagoshima, Japan, https://www.city.kagoshima.lg.jp/kurashi/bosai/bosai/sakurajima/english.html
(last access: 21 November 2022), 2010.
Kitagawa, K.: Living with an active volcano: Informal and community learning
for preparedness in south of Japan, in: Observing the Volcano World, edited
by: Fearnley, C. J., Bird, D. K., Haynes, K., McGuire, W. J., and Jolly, G.,
Springer International Publishing, Cham, 677–689,
https://doi.org/10.1007/11157_2015_12, 2015.
Kobayashi, S., Ota, Y., Harada, Y., Ebita, A., Moriya, M., Onoda, H., Onogi,
K., Kamahori, H., Kobayashi, C., Endo, H., Miyaoka, K., and Takahashi, K.:
The JRA-55 reanalysis: General specifications and basic characteristics, J.
Meteorol. Soc. Jpn., 93, 5–48,
https://doi.org/10.2151/jmsj.2015-001, 2015.
Kobayashi, T.: Geology of Sakurajima volcano: A review, Bull. Volcanol. Soc.
Jpn., 27, 277–292, 1982.
Koto, B.: The great eruption of Sakura-Jima, J. Coll. Sci. Imperial Univ.
Tokyo, 38, 1–237, 1916.
Kratzmann, D. J., Carey, S. N., Fero, J., Scasso, R. A., and Naranjo, J.-A.:
Simulations of tephra dispersal from the 1991 explosive eruptions of Hudson
volcano, Chile, J. Volcanol. Geoth. Res., 190,
337–352, https://doi.org/10.1016/j.jvolgeores.2009.11.021,
2010.
Kyushu Regional Development Bureau and Osumi Office of the Rivers and
National Highways: Sakurajima volcano wide area disaster prevention map, Minist. Land Infrastruct. Transp. Tourism Sakurajima, Kagoshima,
Japan, https://www.qsr.mlit.go.jp/osumi/contents/jigyo/sand/prevention/management.html
(last access: 7 October 2020), 2017 (in
Japanese).
Lin, J., Brunner, D., Gerbig, C., Stohl, A., Luhar, A., and Webley, P.:
Lagrangian modeling of the atmosphere: An introduction, in: Lagrangian
Modeling of the Atmosphere, American Geophysical Union, Washington, DC, USA,
1–15, ISBN 978-0-87590-490-0, 2012.
Macedonio, G., Costa, A., Scollo, S., and Neri, A.: Effects of eruption
source parameter variation and meteorological dataset on tephra fallout
hazard assessment: Example from Vesuvius (Italy), J. Appl. Volcanol., 5, 5,
https://doi.org/10.1186/s13617-016-0045-2, 2016.
Maeda, S., Hirahara, S., Hagiya, S., Murai, H., and Oikawa, Y.: Forecasting Changes in Seasonal Progress in Future Climate (based on
the changes of Westerly Wind),
http://wind.gp.tohoku.ac.jp/yamase/reports/meeting5.html (last access: 9 January 2020), Climate
Information Division, Global Environment and Ocean Department, Japan
Meteorological Agency, 2012 (in Japanese).
Ministry of Land, Infrastructure, and Tourism: Airport Management Status, https://www.mlit.go.jp/koku/15_bf_000185.html, last access: 1 September 2022.
Mastin, L. G., Guffanti, M., Servranckx, R., Webley, P., Barsotti, S., Dean,
K., Durant, A., Ewert, J. W., Neri, A., Rose, W. I., Schneider, D., Siebert,
L., Stunder, B., Swanson, G., Tupper, A., Volentik, A., and Waythomas, C.
F.: A multidisciplinary effort to assign realistic source parameters to
models of volcanic ash-cloud transport and dispersion during eruptions, J. Volcanol. Geoth. Res., 186, 10–21,
https://doi.org/10.1016/j.jvolgeores.2009.01.008, 2009.
Mita, K., Ishimine, Y., Iwamatsu, A., Kamikozuru, H., Koga, M., Takeda, N.,
Nakamura, T., Matsumoto, S., Iguchi, M., Baba, M., Yamaguchi, K., Shimokawa,
E., and Maki, M.: Tentative Reports on the Traffic Countermeasures for a
Large-Scale Eruption of Sakurajima Volcano. Case Study: Ash Deposit on
Kagoshima City, Earthquake and Volcanic Disaster Prevention
Center, Kagoshima University, https://bousai.kagoshima-u.ac.jp/3107/ (last access: 1 October 2021), 2018 (in Japanese).
Miyaji, N., Kan'no, A., Kanamaru, T., and Mannen, K.: High-resolution
reconstruction of the Hoei eruption (AD 1707) of Fuji volcano, Japan, J. Volcanol. Geoth. Res., 207, 113–129,
https://doi.org/10.1016/j.jvolgeores.2011.06.013, 2011.
Morton, B. R., Taylor, S. G., and Turner, J. S.: Turbulent gravitational
convection from maintained and instantaneous sources, P. R.
Soc. Lond. A, 234, 1–23, https://doi.org/10.1098/rspa.1956.0011, 1956.
Newhall, C. G. and Self, S.: The volcanic explosivity index (VEI) an
estimate of explosive magnitude for historical volcanism, J. Geophys. Res.,
87, 1231, https://doi.org/10.1029/JC087iC02p01231, 1982.
Nishimura, T.: Source mechanisms of volcanic explosion earthquakes: Single
force and implosive sources, J. Volcanol. Geoth. Res., 86, 97–106,
https://doi.org/10.1016/S0377-0273(98)00088-2, 1998.
Omori, F.: The Sakura-Jima eruption and earthquakes, Bulletin of the
Imperial Earthquake Investigation Committee, University of Tokyo, 8, 1–630, https://repository.dl.itc.u-tokyo.ac.jp/search?search_type=2&q=7234
(last access: 2 September 2020),
1914.
Peng, J. and Peterson, R.: Attracting structures in volcanic ash transport,
Atmos. Environ., 48, 230–239,
https://doi.org/10.1016/j.atmosenv.2011.05.053, 2012.
Poulidis, A. P. and Takemi, T.: A 1998–2013 climatology of Kyushu, Japan:
Seasonal variations of stability and rainfall, Int. J. Climatol., 37,
1843–1858, https://doi.org/10.1002/joc.4817, 2017.
Poulidis, A. P., Takemi, T., Iguchi, M., and Renfrew, I. A.: Orographic
effects on the transport and deposition of volcanic ash: A case study of
Mount Sakurajima, Japan, J. Geophys. Res.-Atmos., 122, 9332–9350,
https://doi.org/10.1002/2017JD026595, 2017.
Poulidis, A. P., Takemi, T., Shimizu, A., Iguchi, M., and Jenkins, S. F.:
Statistical analysis of dispersal and deposition patterns of volcanic
emissions from MT. Sakurajima, Japan, Atmos. Environ., 179, 305–320,
https://doi.org/10.1016/j.atmosenv.2018.02.021, 2018.
Rahadianto, H. and Tatano, H.: 62 Years Simulated Sakurajima Taisho Eruption
Ashfall Deposit Data (1958–2019), Disaster Prevention Research Institute,
Kyoto University, Japan [data set],
https://doi.org/10.17603/ds2-vw5f-t920, 2020.
Rathje, E. M., Dawson, C., Padgett, J. E., Pinelli, J.-P., Stanzione, D.,
Adair, A., Arduino, P., Brandenberg, S. J., Cockerill, T., Dey, C., Esteva,
M., Haan, F. L., Hanlon, M., Kareem, A., Lowes, L., Mock, S., and Mosqueda,
G.: DesignSafe: New cyberinfrastructure for natural hazards engineering,
Nat. Hazards Rev., 18, 06017001,
https://doi.org/10.1061/(ASCE)NH.1527-6996.0000246, 2017.
Reimers, N. and Gurevych, I.: Sentence-BERT: Sentence Embeddings Using
Siamese BERT-Networks, arXiv [preprint], https://doi.org/10.48550/arXiv.1908.10084, 2019.
Reimers, N. and Gurevych, I.: Making Monolingual Sentence Embeddings
Multilingual Using Knowledge Distillation, arXiv [preprint], https://doi.org/10.48550/arXiv.2004.09813, 2020.
Scollo, S., Prestifilippo, M., Coltelli, M., Peterson, R. A., and Spata, G.:
A statistical approach to evaluate the tephra deposit and ash concentration
from PUFF model forecasts, J. Volcanol. Geoth. Res., 200, 129–142,
https://doi.org/10.1016/j.jvolgeores.2010.12.004, 2011.
Searcy, C., Dean, K., and Stringer, W.: PUFF: A high-resolution volcanic ash
tracking model, J. Volcanol. Geoth. Res., 80, 1–16,
https://doi.org/10.1016/S0377-0273(97)00037-1, 1998.
Selva, J., Costa, A., De Natale, G., Di Vito, M. A., Isaia, R., and
Macedonio, G.: Sensitivity test and ensemble hazard assessment for tephra
fallout at Campi Flegrei, Italy, J. Volcanol. Geoth. Res., 351, 1–28,
https://doi.org/10.1016/j.jvolgeores.2017.11.024, 2018.
Shimbori, T., Aikawa, Y., Fukui, K., Hashimoto, A., Seino, N., and Yamasato,
H.: Quantitative tephra fall prediction with the JMA mesoscale tracer
transport model for volcanic ash: A case study of the eruption at Asama
volcano in 2009, Pap. Meteorol. Geophys., 61, 13–29,
https://doi.org/10.2467/mripapers.61.13, 2009 (in Japanese).
Singhal, A.: Modern Information Retrieval: A Brief Overview,
IEEE Data Engineering Bulletin, 24, 35–43, https://dblp.org/rec/journals/debu/Singhal01 (last access: 4 January 2022),
2001.
Takebayashi, M., Onishi, M., and Iguchi, M.: Large volcanic eruptions and
their influence on air transport: The case of Japan, J. Air Transp. Manag.,
97, 102136, https://doi.org/10.1016/j.jairtraman.2021.102136,
2021.
Tanaka, H. L.: Development of A prediction scheme for volcanic ash fall from
redoubt volcano, Alaska, in: Proceedings of the First International
Symposium on Volcanic Ash and Aviation Safety, First International Symposium
on Volcanic Ash and Aviation Safety, 283–291,
https://doi.org/10.3133/b2047, 1994.
Tanaka, H. L. and Iguchi, M.: Numerical simulations of volcanic ash plume
dispersal for Sakura-Jima using real-time emission rate estimation, J.
Disaster Res., 14, 160–172,
https://doi.org/10.20965/jdr.2019.p0160, 2019.
Tanaka, H. L. and Yamamoto, K.: Numerical simulation of volcanic plume
dispersal from usu volcano in Japan on 31 March 2000 using PUFF model, Earth
Planets Space, 54, 743–752,
https://doi.org/10.1186/BF03351727, 2002.
Tanaka, H. L., Iguchi, M., and Nakada, S.: Numerical simulations of volcanic
ash plume dispersal from Kelud volcano in Indonesia on February 13, 2014, J.
Disaster Res., 11, 31–42,
https://doi.org/10.20965/jdr.2016.p0031, 2016.
Tanaka, H. L., Nakamichi, H., and Iguchi, M.: PUFF Model Prediction of Volcanic Ash Plume Dispersal for Sakurajima Using MP Radar Observation, Atmosphere, 11, 1240, https://doi.org/10.3390/atmos11111240, 2020.
Tilling, R. I., Topinka, L. J., and Swanson, D. A.: Eruptions of Mount St. Helens: Past, Present, and Future, Rev. ed. 1990, Reston, Va., U.S. Department of the Interior, Geological Survey, https://hdl.handle.net/2027/uc1.31210014851362 (last access: 20 July 2021), 1990.
Todde, A., Cioni, R., Pistolesi, M., Geshi, N., and Bonadonna, C.: The 1914
Taisho eruption of Sakurajima volcano: Stratigraphy and dynamics of the
largest explosive event in Japan during the twentieth century, B.
Volcanol., 79, 72, https://doi.org/10.1007/s00445-017-1154-4,
2017.
Tsukui, M.: Ash-fall distribution of 1779 an'ei eruption, Sakurajima
volcano: Revealed by historical documents, Bull.
Volcanological Soc. Jpn., 56, 89–94,
https://doi.org/10.18940/kazan.56.2-3_89, 2011 (in Japanese).
Unidata: NetCDF, UCAR/Unidata,
https://doi.org/10.5065/D6H70CW6, 2021.
Wallace, J. M. and Hobbs, P. V.: Atmospheric Science: An Introductory
Survey, 2nd ed, Academic Press, Amsterdam, Paris, ISBN 978-0-12-732951-2, 2006.
Webley, P. and Mastin, L.: Improved prediction and tracking of volcanic ash
clouds, J. Volcanol. Geoth. Res., 186, 1–9,
https://doi.org/10.1016/j.jvolgeores.2008.10.022, 2009.
Webley, P. W., Atkinson, D., Collins, R. L., Dean, K., Fochesatto, J., Sassen, K., Cahill, C. F., Prata, A., Flynn, C. J., and Mizutani, K.: Predicting and Validating the Tracking of a Volcanic Ash Cloud during the 2006 Eruption of Mt. Augustine Volcano, B. Am. Meteorol. Soc., 89, 1647–1658, https://doi.org/10.1175/2008BAMS2579.1, 2008.
Webley, P. W., Dean, K., Peterson, R., Steffke, A., Harrild, M., and Groves, J.: Dispersion modeling of volcanic ash clouds: North Pacific eruptions, the past 40 years: 1970–2010, Nat. Hazards, 61, 661–671, https://doi.org/10.1007/s11069-011-0053-9, 2012.
Wilson, T. M., Stewart, C., Sword-Daniels, V., Leonard, G. S., Johnston, D.
M., Cole, J. W., Wardman, J., Wilson, G., and Barnard, S. T.: Volcanic ash
impacts on critical infrastructure, Phys. Chem. Earth Parts A B C, 45–46,
5–23, https://doi.org/10.1016/j.pce.2011.06.006, 2012.
Yamasato, H., Funasaki, J., and Takagi, Y.: The Japan Meteorological
Agency's Volcanic Disaster Mitigation Initiatives, National Research
Institute for Earth Science and Disaster Prevention, Japan, Technical Note, National Research Institute for Earth Science and Disaster Prevention (NIED), No. 380 101–107, 2013.
Yasui, M., Takahashi, M., Ishihara, K., and Miki, D.: Records on the
1914–1915 eruption of Sakurajima volcano, Japan, Bull.
Volcanol. Soc. Jpn., 41, 75–107, 2006 (in Japanese).
Yasui, M., Takahashi, M., Ishihara, K., and Miki, D.: Eruptive Style and Its
Temporal Variation through the 1914–1915 Eruption of Sakurajima Volcano,
52, Southern Kyushu, Japan, Bulletin of The Volcanological
Society of Japan, 161–186,
https://doi.org/10.18940/kazan.52.3_161, 2007 (in Japanese).
Zuccaro, G., Leone, M. F., Del Cogliano, D., and Sgroi, A.: Economic impact
of explosive volcanic eruptions: A simulation-based assessment model applied
to Campania region volcanoes, J. Volcanol. Geoth. Res., 266, 1–15,
https://doi.org/10.1016/j.jvolgeores.2013.09.002, 2013.
Short summary
We simulated the Taisho (1914) eruption of Sakurajima volcano under various weather conditions to show how a similar eruption would affect contemporary Japan in a worst-case scenario. We provide the dataset of projected airborne ash concentration and deposit over all of Japan to support risk assessment and planning for disaster management. Our work extends previous analyses of local risks to cover distal locations in Japan where a large population could be exposed to devastating impacts.
We simulated the Taisho (1914) eruption of Sakurajima volcano under various weather conditions...
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