Articles | Volume 18, issue 6
https://doi.org/10.5194/acp-18-4019-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-18-4019-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Volcanic ash modeling with the NMMB-MONARCH-ASH model: quantification of offline modeling errors
Barcelona Supercomputing Center (BSC-CNS),
Barcelona, Spain
Arnau Folch
Barcelona Supercomputing Center (BSC-CNS),
Barcelona, Spain
Related authors
Alejandro Marti, Arnau Folch, Oriol Jorba, and Zavisa Janjic
Atmos. Chem. Phys., 17, 4005–4030, https://doi.org/10.5194/acp-17-4005-2017, https://doi.org/10.5194/acp-17-4005-2017, 2017
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We describe and evaluate NMMB-MONARCH-ASH, a novel online multi-scale meteorological and transport model developed at the BSC-CNS capable of forecasting the dispersal and deposition of volcanic ash. The forecast skills of the model have been validated and they improve on those from traditional operational offline (decoupled) models. The results support the use of online coupled models to aid civil aviation and emergency management during a crisis such as the 2010 eruption of Eyjafjallajökull.
Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch
Geosci. Model Dev., 16, 3459–3478, https://doi.org/10.5194/gmd-16-3459-2023, https://doi.org/10.5194/gmd-16-3459-2023, 2023
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Two novel techniques for ensemble-based data assimilation, suitable for semi-positive-definite variables with highly skewed uncertainty distributions such as tephra deposit mass loading, are applied to reconstruct the tephra fallout deposit resulting from the 2015 Calbuco eruption in Chile. The deposit spatial distribution and the ashfall volume according to the analyses are in good agreement with estimations based on field measurements and isopach maps reported in previous studies.
Leonardo Mingari, Arnau Folch, Andrew T. Prata, Federica Pardini, Giovanni Macedonio, and Antonio Costa
Atmos. Chem. Phys., 22, 1773–1792, https://doi.org/10.5194/acp-22-1773-2022, https://doi.org/10.5194/acp-22-1773-2022, 2022
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We present a new implementation of an ensemble-based data assimilation method to improve forecasting of volcanic aerosols. This system can be efficiently integrated into operational workflows by exploiting high-performance computing resources. We found a dramatic improvement of forecast quality when satellite retrievals are continuously assimilated. Management of volcanic risk and reduction of aviation impacts can strongly benefit from this research.
Manuel Titos, Beatriz Martínez Montesinos, Sara Barsotti, Laura Sandri, Arnau Folch, Leonardo Mingari, Giovanni Macedonio, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 22, 139–163, https://doi.org/10.5194/nhess-22-139-2022, https://doi.org/10.5194/nhess-22-139-2022, 2022
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This work addresses a quantitative hazard assessment on the possible impact on air traffic of a future ash-forming eruption on the island of Jan Mayen. Through high-performance computing resources, we numerically simulate the transport of ash clouds and ash concentration at different flight levels over an area covering Iceland and the UK using the FALL3D model. This approach allows us to derive a set of probability maps explaining the extent and persisting concentration conditions of ash clouds.
Andrew T. Prata, Leonardo Mingari, Arnau Folch, Giovanni Macedonio, and Antonio Costa
Geosci. Model Dev., 14, 409–436, https://doi.org/10.5194/gmd-14-409-2021, https://doi.org/10.5194/gmd-14-409-2021, 2021
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This paper presents FALL3D-8.0, the latest version release of an open-source code with a track record of 15+ years and a growing number of users in the volcanological and atmospheric communities. The code, originally conceived for atmospheric dispersal and deposition of tephra particles, has been extended to model other types of particles, aerosols and radionuclides. This paper details new model applications and validation of FALL3D-8.0 using satellite, ground-deposit load and radionuclide data.
Arnau Folch, Leonardo Mingari, Natalia Gutierrez, Mauricio Hanzich, Giovanni Macedonio, and Antonio Costa
Geosci. Model Dev., 13, 1431–1458, https://doi.org/10.5194/gmd-13-1431-2020, https://doi.org/10.5194/gmd-13-1431-2020, 2020
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This paper presents FALL3D-8.0, the latest version release of an open-source code with a track record of 15+ years and a growing number of users in the volcanological and atmospheric communities. The code, originally conceived for atmospheric dispersal and deposition of tephra particles, has been extended to model other types of particles, aerosols and radionuclides. This paper details the FALL3D-8.0 model physics and the numerical implementation of the code.
Soledad Osores, Juan Ruiz, Arnau Folch, and Estela Collini
Geosci. Model Dev., 13, 1–22, https://doi.org/10.5194/gmd-13-1-2020, https://doi.org/10.5194/gmd-13-1-2020, 2020
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Volcanic ash dispersal forecasts are routinely used to avoid aircraft encounters with volcanic ash. However, the accuracy of these forecasts depends on the knowledge of key factors that are usually difficult to observe directly. In this work we apply an inverse methodology to improve ash concentration forecasts. Results are encouraging, showing that accurate estimations of ash emissions can be performed using the proposed approach, leading to an improvement in ash concentration forecasts.
Arnau Folch, Jordi Barcons, Tomofumi Kozono, and Antonio Costa
Nat. Hazards Earth Syst. Sci., 17, 861–879, https://doi.org/10.5194/nhess-17-861-2017, https://doi.org/10.5194/nhess-17-861-2017, 2017
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Atmospheric dispersal of a gas denser than air can threat the environment and surrounding communities. In complex terrains, microscale winds and local orographic features can have a strong influence on the gas cloud behavior, potentially leading to inaccurate model results if not captured by coarser-scale simulations. We introduce a methodology for microscale wind field characterization and validate it using, as a test case, the CO2 gas dispersal from 1986 Lake Nyos eruption.
Leonardo A. Mingari, Estela A. Collini, Arnau Folch, Walter Báez, Emilce Bustos, María Soledad Osores, Florencia Reckziegel, Peter Alexander, and José G. Viramonte
Atmos. Chem. Phys., 17, 6759–6778, https://doi.org/10.5194/acp-17-6759-2017, https://doi.org/10.5194/acp-17-6759-2017, 2017
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In this paper, we provide the first comprehensive description of
a dust episode occurred in South America in June 2015 through
observations and numerical simulations. We have investigated
the spatiotemporal distribution of aerosols and the emission
process over complex terrain to gain insight into the key role
played by the orography and the condition that triggered the
long-range transport episode.
Alejandro Marti, Arnau Folch, Oriol Jorba, and Zavisa Janjic
Atmos. Chem. Phys., 17, 4005–4030, https://doi.org/10.5194/acp-17-4005-2017, https://doi.org/10.5194/acp-17-4005-2017, 2017
Short summary
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We describe and evaluate NMMB-MONARCH-ASH, a novel online multi-scale meteorological and transport model developed at the BSC-CNS capable of forecasting the dispersal and deposition of volcanic ash. The forecast skills of the model have been validated and they improve on those from traditional operational offline (decoupled) models. The results support the use of online coupled models to aid civil aviation and emergency management during a crisis such as the 2010 eruption of Eyjafjallajökull.
A. Folch, A. Costa, and G. Macedonio
Geosci. Model Dev., 9, 431–450, https://doi.org/10.5194/gmd-9-431-2016, https://doi.org/10.5194/gmd-9-431-2016, 2016
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We present FPLUME-1.0, a steady-state 1-D cross-section-averaged eruption column model based on the buoyant plume theory (BPT). The model accounts for plume bending by wind, entrainment of ambient moisture, effects of water phase changes, particle fallout and re-entrainment, a new parameterization for the air entrainment coefficients and a model for wet aggregation of ash particles in presence of liquid water or ice.
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
A. Folch, L. Mingari, M. S. Osores, and E. Collini
Nat. Hazards Earth Syst. Sci., 14, 119–133, https://doi.org/10.5194/nhess-14-119-2014, https://doi.org/10.5194/nhess-14-119-2014, 2014
Related subject area
Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
Change from aerosol-driven to cloud-feedback-driven trend in short-wave radiative flux over the North Atlantic
A new process-based and scale-aware desert dust emission scheme for global climate models – Part I: Description and evaluation against inverse modeling emissions
Transported aerosols regulate the pre-monsoon rainfall over north-east India: a WRF-Chem modelling study
Collision-sticking rates of acid–base clusters in the gas phase determined from atomistic simulation and a novel analytical interacting hard-sphere model
Parameterization of size of organic and secondary inorganic aerosol for efficient representation of global aerosol optical properties
Model-based insights into aerosol perturbation on pristine continental convective precipitation
The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations
On the differences in the vertical distribution of modeled aerosol optical depth over the southeastern Atlantic
A global evaluation of daily to seasonal aerosol and water vapor relationships using a combination of AERONET and NAAPS reanalysis data
Impacts of reducing scattering and absorbing aerosols on the temporal extent and intensity of South and East Asian summer monsoon
Local and remote climate impacts of future African aerosol emissions
The dependence of aerosols' global and local precipitation impacts on the emitting region
Assessing the climate and air quality effects of future aerosol mitigation in India using a global climate model combined with statistical downscaling
Aggravated air pollution and health burden due to traffic congestion in urban China
Late summer transition from a free-tropospheric to boundary layer source of Aitken mode aerosol in the high Arctic
Self-lofting of wildfire smoke in the troposphere and stratosphere: simulations and space lidar observations
A thermodynamic framework for bulk–surface partitioning in finite-volume mixed organic–inorganic aerosol particles and cloud droplets
Multi-model ensemble projection of global dust cycle by the end of 21st century using CMIP6 data
Role of K-feldspar and quartz in global ice nucleation by mineral dust in mixed-phase clouds
Projected increases in wildfires may challenge regulatory curtailment of PM2.5 over the eastern US by 2050
Meteorological export and deposition fluxes of black carbon on glaciers of the central Chilean Andes
Future changes in atmospheric rivers over East Asia under stratospheric aerosol intervention
Modeling the influence of chain length on secondary organic aerosol (SOA) formation via multiphase reactions of alkanes
How aerosol size matters in aerosol optical depth (AOD) assimilation and the optimization using the Ångström exponent
Microphysical, macrophysical, and radiative responses of subtropical marine clouds to aerosol injections
Hemispheric-wide climate response to regional COVID-19-related aerosol emission reductions: the prominent role of atmospheric circulation adjustments
Impacts of an aerosol layer on a midlatitude continental system of cumulus clouds: how do these impacts depend on the vertical location of the aerosol layer?
Impact of phase state and non-ideal mixing on equilibration timescales of secondary organic aerosol partitioning
Effect of radiation interaction and aerosol processes on ventilation and aerosol concentrations in a real urban neighbourhood in Helsinki
A global climatology of ice-nucleating particles under cirrus conditions derived from model simulations with MADE3 in EMAC
Superimposed effects of typical local circulations driven by mountainous topography and aerosol-radiation interaction on heavy haze in the Beijing-Tianjin-Hebei central and southern plains in winter
Enviro-HIRLAM model estimates of elevated black carbon pollution over Ukraine resulted from forest fires
Where does the dust deposited over the Sierra Nevada snow come from?
Instant and delayed effects of March biomass burning aerosols over the Indochina Peninsula
Aerosol–cloud interaction in the atmospheric chemistry model GRAPES_Meso5.1/CUACE and its impacts on mesoscale numerical weather prediction under haze pollution conditions in Jing–Jin–Ji in China
Survival probabilities of atmospheric particles: comparison based on theory, cluster population simulations, and observations in Beijing
The simulation of mineral dust in the United Kingdom Earth System Model UKESM1
Dust pollution in China affected by different spatial and temporal types of El Niño
An improved representation of aerosol mixing state for air quality–weather interactions
Circulation-regulated impacts of aerosol pollution on urban heat island in Beijing
Size-resolved dust direct radiative effect efficiency derived from satellite observations
Modeling coarse and giant desert dust particles
Fire–climate interactions through the aerosol radiative effect in a global chemistry–climate–vegetation model
Contributions of meteorology and anthropogenic emissions to the trends in winter PM2.5 in eastern China 2013–2018
Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China
Mapping the dependence of black carbon radiative forcing on emission region and season
Regional PM2.5 pollution confined by atmospheric internal boundaries in the North China Plain: boundary layer structures and numerical simulation
Toward targeted observations of the meteorological initial state for improving the PM2.5 forecast of a heavy haze event that occurred in the Beijing–Tianjin–Hebei region
Below-cloud scavenging of aerosol by rain: a review of numerical modelling approaches and sensitivity simulations with mineral dust in the Met Office's Unified Model
Predicting gridded winter PM2.5 concentration in the east of China
Daniel P. Grosvenor and Kenneth S. Carslaw
Atmos. Chem. Phys., 23, 6743–6773, https://doi.org/10.5194/acp-23-6743-2023, https://doi.org/10.5194/acp-23-6743-2023, 2023
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We determine what causes long-term trends in short-wave (SW) radiative fluxes in two climate models. A positive trend occurs between 1850 and 1970 (increasing SW reflection) and a negative trend between 1970 and 2014; the pre-1970 positive trend is mainly driven by an increase in cloud droplet number concentrations due to increases in aerosol, and the 1970–2014 trend is driven by a decrease in cloud fraction, which we attribute to changes in clouds caused by greenhouse gas-induced warming.
Danny M. Leung, Jasper F. Kok, Longlei Li, Gregory S. Okin, Catherine Prigent, Martina Klose, Carlos Pérez García-Pando, Laurent Menut, Natalie M. Mahowald, David M. Lawrence, and Marcelo Chamecki
Atmos. Chem. Phys., 23, 6487–6523, https://doi.org/10.5194/acp-23-6487-2023, https://doi.org/10.5194/acp-23-6487-2023, 2023
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Desert dust modeling is important for understanding climate change, as dust regulates the atmosphere's greenhouse effect and radiation. This study formulates and proposes a more physical and realistic desert dust emission scheme for global and regional climate models. By considering more aeolian processes in our emission scheme, our simulations match better against dust observations than existing schemes. We believe this work is vital in improving dust representation in climate models.
Neeldip Barman and Sharad Gokhale
Atmos. Chem. Phys., 23, 6197–6215, https://doi.org/10.5194/acp-23-6197-2023, https://doi.org/10.5194/acp-23-6197-2023, 2023
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The study shows that during the pre-monsoon season transported aerosols, especially from the Indo-Gangetic Plain (IGP), have a greater impact with respect to air pollution, radiative forcing and rainfall over north-east (NE) India than emissions from within NE India itself. Hence, controlling emissions in the IGP will be significantly more fruitful in reducing pollution as well as climatic impacts over this region.
Huan Yang, Ivo Neefjes, Valtteri Tikkanen, Jakub Kubečka, Theo Kurtén, Hanna Vehkamäki, and Bernhard Reischl
Atmos. Chem. Phys., 23, 5993–6009, https://doi.org/10.5194/acp-23-5993-2023, https://doi.org/10.5194/acp-23-5993-2023, 2023
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We present a new analytical model for collision rates between molecules and clusters of arbitrary sizes, accounting for long-range interactions. The model is verified against atomistic simulations of typical acid–base clusters participating in atmospheric new particle formation (NPF). Compared to non-interacting models, accounting for long-range interactions leads to 2–3 times higher collision rates for small clusters, indicating the necessity of including such interactions in NPF modeling.
Haihui Zhu, Randall V. Martin, Betty Croft, Shixian Zhai, Chi Li, Liam Bindle, Jeffrey R. Pierce, Rachel Y.-W. Chang, Bruce E. Anderson, Luke D. Ziemba, Johnathan W. Hair, Richard A. Ferrare, Chris A. Hostetler, Inderjeet Singh, Deepangsu Chatterjee, Jose L. Jimenez, Pedro Campuzano-Jost, Benjamin A. Nault, Jack E. Dibb, Joshua S. Schwarz, and Andrew Weinheimer
Atmos. Chem. Phys., 23, 5023–5042, https://doi.org/10.5194/acp-23-5023-2023, https://doi.org/10.5194/acp-23-5023-2023, 2023
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Particle size of atmospheric aerosol is important for estimating its climate and health effects, but simulating atmospheric aerosol size is computationally demanding. This study derives a simple parameterization of the size of organic and secondary inorganic ambient aerosol that can be applied to atmospheric models. Applying this parameterization allows a better representation of the global spatial pattern of aerosol size, as verified by ground and airborne measurements.
Mengjiao Jiang, Yaoting Li, Weiji Hu, Yinshan Yang, Guy Brasseur, and Xi Zhao
Atmos. Chem. Phys., 23, 4545–4557, https://doi.org/10.5194/acp-23-4545-2023, https://doi.org/10.5194/acp-23-4545-2023, 2023
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Relatively clean background aerosol over the Tibetan Plateau makes the study of aerosol–cloud–precipitation interactions distinctive. A convection on 24 July 2014 in Naqu was selected using the Weather Research Forecasting (WRF) model, including the Thompson aerosol-aware microphysical scheme. Our study uses a compromise approach to the limited observations. We show that the transformation of cloud water to graupel and the development of convective clouds are favored in a polluted situation.
Pantelis Kiriakidis, Antonis Gkikas, Georgios Papangelis, Theodoros Christoudias, Jonilda Kushta, Emmanouil Proestakis, Anna Kampouri, Eleni Marinou, Eleni Drakaki, Angela Benedetti, Michael Rennie, Christian Retscher, Anne Grete Straume, Alexandru Dandocsi, Jean Sciare, and Vasilis Amiridis
Atmos. Chem. Phys., 23, 4391–4417, https://doi.org/10.5194/acp-23-4391-2023, https://doi.org/10.5194/acp-23-4391-2023, 2023
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With the launch of the Aeolus satellite, higher-accuracy wind products became available. This research was carried out to validate the assimilated wind products by testing their effect on the WRF-Chem model predictive ability of dust processes. This was carried out for the eastern Mediterranean and Middle East region for two 2-month periods in autumn and spring 2020. The use of the assimilated products improved the dust forecasts of the autumn season (both quantitatively and qualitatively).
Ian Chang, Lan Gao, Connor J. Flynn, Yohei Shinozuka, Sarah J. Doherty, Michael S. Diamond, Karla M. Longo, Gonzalo A. Ferrada, Gregory R. Carmichael, Patricia Castellanos, Arlindo M. da Silva, Pablo E. Saide, Calvin Howes, Zhixin Xue, Marc Mallet, Ravi Govindaraju, Qiaoqiao Wang, Yafang Cheng, Yan Feng, Sharon P. Burton, Richard A. Ferrare, Samuel E. LeBlanc, Meloë S. Kacenelenbogen, Kristina Pistone, Michal Segal-Rozenhaimer, Kerry G. Meyer, Ju-Mee Ryoo, Leonhard Pfister, Adeyemi A. Adebiyi, Robert Wood, Paquita Zuidema, Sundar A. Christopher, and Jens Redemann
Atmos. Chem. Phys., 23, 4283–4309, https://doi.org/10.5194/acp-23-4283-2023, https://doi.org/10.5194/acp-23-4283-2023, 2023
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Abundant aerosols are present above low-level liquid clouds over the southeastern Atlantic during late austral spring. The model simulation differences in the proportion of aerosol residing in the planetary boundary layer and in the free troposphere can greatly affect the regional aerosol radiative effects. This study examines the aerosol loading and fractional aerosol loading in the free troposphere among various models and evaluates them against measurements from the NASA ORACLES campaign.
Juli I. Rubin, Jeffrey S. Reid, Peng Xian, Christopher M. Selman, and Thomas F. Eck
Atmos. Chem. Phys., 23, 4059–4090, https://doi.org/10.5194/acp-23-4059-2023, https://doi.org/10.5194/acp-23-4059-2023, 2023
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This work aims to quantify the covariability between aerosol optical depth/extinction with water vapor (PW) globally, using NASA AERONET observations and NAAPS model data. Findings are important for data assimilation and radiative transfer. The study shows statistically significant and positive AOD–PW relationships are found across the globe, varying in strength with location and season and tied to large-scale aerosol events. Hygroscopic growth was also found to be an important factor.
Chenwei Fang, Jim M. Haywood, Ju Liang, Ben T. Johnson, Ying Chen, and Bin Zhu
EGUsphere, https://doi.org/10.5194/egusphere-2023-407, https://doi.org/10.5194/egusphere-2023-407, 2023
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The responses of Asian summer monsoon duration and intensity to air pollution mitigation are identified given the Net-Zero future. We show that reducing scattering aerosols makes the rainy season longer and stronger across South and East Asia but absorbing aerosols reduction acts in the opposite way. Asian monsoon changes are ruled by scattering effects under the emission control of total aerosols. Our results hint distinct monsoon responses to emission controls that target different aerosols.
Christopher D. Wells, Matthew Kasoar, Nicolas Bellouin, and Apostolos Voulgarakis
Atmos. Chem. Phys., 23, 3575–3593, https://doi.org/10.5194/acp-23-3575-2023, https://doi.org/10.5194/acp-23-3575-2023, 2023
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The climate is altered by greenhouse gases and air pollutant particles, and such emissions are likely to change drastically in the future over Africa. Air pollutants do not travel far, so their climate effect depends on where they are emitted. This study uses a climate model to find the climate impacts of future African pollutant emissions being either high or low. The particles absorb and scatter sunlight, causing the ground nearby to be cooler, but elsewhere the increased heat causes warming.
Geeta G. Persad
Atmos. Chem. Phys., 23, 3435–3452, https://doi.org/10.5194/acp-23-3435-2023, https://doi.org/10.5194/acp-23-3435-2023, 2023
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Human-induced aerosol pollution has major impacts on both local and global precipitation. This study demonstrates using a global climate model that both the strength and localization of aerosols' precipitation impacts are highly dependent on which region the aerosols are emitted from. The findings highlight that the geographic distribution of human-induced aerosol emissions must be accounted for when quantifying their influence on global precipitation.
Tuuli Miinalainen, Harri Kokkola, Antti Lipponen, Antti-Pekka Hyvärinen, Vijay Kumar Soni, Kari E. J. Lehtinen, and Thomas Kühn
Atmos. Chem. Phys., 23, 3471–3491, https://doi.org/10.5194/acp-23-3471-2023, https://doi.org/10.5194/acp-23-3471-2023, 2023
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We simulated the effects of aerosol emission mitigation on both global and regional radiative forcing and city-level air quality with a global-scale climate model. We used a machine learning downscaling approach to bias-correct the PM2.5 values obtained from the global model for the Indian megacity New Delhi. Our results indicate that aerosol mitigation could result in both improved air quality and less radiative heating for India.
Peng Wang, Ruhan Zhang, Shida Sun, Meng Gao, Bo Zheng, Dan Zhang, Yanli Zhang, Gregory R. Carmichael, and Hongliang Zhang
Atmos. Chem. Phys., 23, 2983–2996, https://doi.org/10.5194/acp-23-2983-2023, https://doi.org/10.5194/acp-23-2983-2023, 2023
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In China, the number of vehicles has jumped significantly in the last decade. This caused severe traffic congestion and aggravated air pollution. In this study, we developed a new temporal allocation approach to quantify the impacts of traffic congestion. We found that traffic congestion worsens air quality and the health burden across China, especially in the urban clusters. More effective and comprehensive vehicle emission control policies should be implemented to improve air quality in China.
Ruth Price, Andrea Baccarini, Julia Schmale, Paul Zieger, Ian M. Brooks, Paul Field, and Ken S. Carslaw
Atmos. Chem. Phys., 23, 2927–2961, https://doi.org/10.5194/acp-23-2927-2023, https://doi.org/10.5194/acp-23-2927-2023, 2023
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Arctic clouds can control how much energy is absorbed by the surface or reflected back to space. Using a computer model of the atmosphere we investigated the formation of atmospheric particles that allow cloud droplets to form. We found that particles formed aloft are transported to the lowest part of the Arctic atmosphere and that this is a key source of particles. Our results have implications for the way Arctic clouds will behave in the future as climate change continues to impact the region.
Kevin Ohneiser, Albert Ansmann, Jonas Witthuhn, Hartwig Deneke, Alexandra Chudnovsky, Gregor Walter, and Fabian Senf
Atmos. Chem. Phys., 23, 2901–2925, https://doi.org/10.5194/acp-23-2901-2023, https://doi.org/10.5194/acp-23-2901-2023, 2023
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This study shows that smoke layers can reach the tropopause via the self-lofting effect within 3–7 d in the absence of pyrocumulonimbus convection if the
aerosol optical thickness is larger than approximately 2 for a longer time period. When reaching the stratosphere, wildfire smoke can sensitively influence the stratospheric composition on a hemispheric scale and thus can affect the Earth’s climate and the ozone layer.
Ryan Schmedding and Andreas Zuend
EGUsphere, https://doi.org/10.5194/egusphere-2023-336, https://doi.org/10.5194/egusphere-2023-336, 2023
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Aerosol particles below 100 nm in diameter have high surface area to volume ratios. The enrichment of compounds in the surface of an aerosol particle may lead to depletion of that species in the interior bulk of the particle. We present a framework for modeling the equilibrium bulk-surface partitioning of mixed organic-inorganic particles including cases of co-condensation of semi-volatile organic compounds and species with extremely limited solubility in the bulk or surface of a particle.
Yuan Zhao, Xu Yue, Yang Cao, Jun Zhu, Chenguang Tian, Hao Zhou, Yuwen Chen, Yihan Hu, Weijie Fu, and Xu Zhao
Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2022-760, https://doi.org/10.5194/acp-2022-760, 2023
Revised manuscript accepted for ACP
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We project the future changes of dust emissions and loading using an ensemble of model outputs from CMIP6 under four scenarios. We find increased dust emissions and loading in North Africa due to increased drought but strengthened surface wind, while decreased dust loading over Asia following the enhanced precipitation. Such spatial pattern remains similar though the regional intensity varies among different scenarios.
Marios Chatziparaschos, Nikos Daskalakis, Stelios Myriokefalitakis, Nikos Kalivitis, Athanasios Nenes, María Gonçalves Ageitos, Montserrat Costa-Surós, Carlos Pérez García-Pando, Medea Zanoli, Mihalis Vrekoussis, and Maria Kanakidou
Atmos. Chem. Phys., 23, 1785–1801, https://doi.org/10.5194/acp-23-1785-2023, https://doi.org/10.5194/acp-23-1785-2023, 2023
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Ice formation is enabled by ice-nucleating particles (INP) at higher temperatures than homogeneous formation and can profoundly affect the properties of clouds. Our global model results show that K-feldspar is the most important contributor to INP concentrations globally, affecting mid-level mixed-phase clouds. However, quartz can significantly contribute and dominates the lowest and the highest altitudes of dust-derived INP, affecting mainly low-level and high-level mixed-phase clouds.
Chandan Sarangi, Yun Qian, L. Ruby Leung, Yang Zhang, Yufei Zou, and Yuhang Wang
Atmos. Chem. Phys., 23, 1769–1783, https://doi.org/10.5194/acp-23-1769-2023, https://doi.org/10.5194/acp-23-1769-2023, 2023
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We show that for air quality, the densely populated eastern US may see even larger impacts of wildfires due to long-distance smoke transport and associated positive climatic impacts, partially compensating the improvements from regulations on anthropogenic emissions. This study highlights the tension between natural and anthropogenic contributions and the non-local nature of air pollution that complicate regulatory strategies for improving future regional air quality for human health.
Rémy Lapere, Nicolás Huneeus, Sylvain Mailler, Laurent Menut, and Florian Couvidat
Atmos. Chem. Phys., 23, 1749–1768, https://doi.org/10.5194/acp-23-1749-2023, https://doi.org/10.5194/acp-23-1749-2023, 2023
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Glaciers in the Andes of central Chile are shrinking rapidly in response to global warming. This melting is accelerated by the deposition of opaque particles onto snow and ice. In this work, model simulations quantify typical deposition rates of soot on glaciers in summer and winter months and show that the contribution of emissions from Santiago is not as high as anticipated. Additionally, the combination of regional- and local-scale meteorology explains the seasonality in deposition.
Ju Liang and Jim Haywood
Atmos. Chem. Phys., 23, 1687–1703, https://doi.org/10.5194/acp-23-1687-2023, https://doi.org/10.5194/acp-23-1687-2023, 2023
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The recent record-breaking flood events in China during the summer of 2021 highlight the importance of mitigating the risks from future changes in high-impact weather systems under global warming. Based on a state-of-the-art Earth system model, we demonstrate a pilot study on the responses of atmospheric rivers and extreme precipitation over East Asia to anthropogenically induced climate warming and an unconventional mitigation strategy – stratospheric aerosol injection.
Azad Madhu, Myoseon Jang, and David Deacon
Atmos. Chem. Phys., 23, 1661–1675, https://doi.org/10.5194/acp-23-1661-2023, https://doi.org/10.5194/acp-23-1661-2023, 2023
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SOA formation is simulated using the UNIPAR model for series of linear alkanes. The inclusion of autoxidation reactions within the explicit gas mechanisms of C9–C12 was found to significantly improve predictions. Available product distributions were extrapolated with an incremental volatility coefficient (IVC) to predict SOA formation of alkanes without explicit mechanisms. These product distributions were used to simulate SOA formation from C13 and C15 and had good agreement with chamber data.
Jianbing Jin, Bas Henzing, and Arjo Segers
Atmos. Chem. Phys., 23, 1641–1660, https://doi.org/10.5194/acp-23-1641-2023, https://doi.org/10.5194/acp-23-1641-2023, 2023
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Aerosol models and satellite retrieval algorithms rely on different aerosol size assumptions. In practice, differences between simulations and observations do not always reflect the difference in aerosol amount. To avoid inconsistencies, we designed a hybrid assimilation approach. Different from a standard aerosol optical depth (AOD) assimilation that directly assimilates AODs, the hybrid one estimates aerosol size parameters by assimilating Ängström observations before assimilating the AODs.
Je-Yun Chun, Robert Wood, Peter Blossey, and Sarah J. Doherty
Atmos. Chem. Phys., 23, 1345–1368, https://doi.org/10.5194/acp-23-1345-2023, https://doi.org/10.5194/acp-23-1345-2023, 2023
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We investigate the impact of injected aerosol on subtropical low marine clouds under a variety of meteorological conditions using high-resolution model simulations. This study illustrates processes perturbed by aerosol injections and their impact on cloud properties (e.g., cloud number concentration, thickness, and cover). We show that those responses are highly sensitive to background meteorological conditions, such as precipitation, and background cloud properties.
Nora L. S. Fahrenbach and Massimo A. Bollasina
Atmos. Chem. Phys., 23, 877–894, https://doi.org/10.5194/acp-23-877-2023, https://doi.org/10.5194/acp-23-877-2023, 2023
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We studied the monthly-scale climate response to COVID-19 aerosol emission reductions during January–May 2020 using climate models. Our results show global temperature and rainfall anomalies driven by circulation changes. The climate patterns reverse polarity from JF to MAM due to a shift in the main SO2 reduction region from China to India. This real-life example of rapid climate adjustments to abrupt, regional aerosol emission reduction has large implications for future climate projections.
Seoung Soo Lee, Junshik Um, Won Jun Choi, Kyung-Ja Ha, Chang Hoon Jung, Jianping Guo, and Youtong Zheng
Atmos. Chem. Phys., 23, 273–286, https://doi.org/10.5194/acp-23-273-2023, https://doi.org/10.5194/acp-23-273-2023, 2023
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This paper elaborates on process-level mechanisms regarding how the interception of radiation by aerosols interacts with the surface heat fluxes and atmospheric instability in warm cumulus clouds. This paper elucidates how these mechanisms vary with the location or altitude of an aerosol layer. This elucidation indicates that the location of aerosol layers should be taken into account for parameterizations of aerosol–cloud interactions.
Meredith Schervish and Manabu Shiraiwa
Atmos. Chem. Phys., 23, 221–233, https://doi.org/10.5194/acp-23-221-2023, https://doi.org/10.5194/acp-23-221-2023, 2023
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Secondary organic aerosols (SOAs) can exhibit complex non-ideal behavior and adopt an amorphous semisolid state. We simulate condensation of semi-volatile compounds into a phase-separated particle to investigate the effect of non-ideality and particle phase state on the equilibration timescale of SOA partitioning. Our results provide useful insights into the interpretation of experimental observations and the description and treatment of SOA in aerosol models.
Jani Strömberg, Xiaoyu Li, Mona Kurppa, Heino Kuuluvainen, Liisa Pirjola, and Leena Järvi
EGUsphere, https://doi.org/10.5194/egusphere-2022-978, https://doi.org/10.5194/egusphere-2022-978, 2023
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In this study we concluded that with low wind speeds, solar radiation has a larger decreasing effect (53 %) on pollutant concentrations than aerosol processes (18 %). Additionally, our results showed that with solar radiation included, pollutant concentrations were closer to observations (-13 %) than with only aerosol processes (+97 %). This has implications when planning simulations under calm conditions such as our case and deciding whether or not simulations need to include these processes.
Christof G. Beer, Johannes Hendricks, and Mattia Righi
Atmos. Chem. Phys., 22, 15887–15907, https://doi.org/10.5194/acp-22-15887-2022, https://doi.org/10.5194/acp-22-15887-2022, 2022
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Ice-nucleating particles (INPs) have important influences on cirrus clouds and the climate system; however, their global atmospheric distribution in the cirrus regime is still very uncertain. We present a global climatology of INPs under cirrus conditions derived from model simulations, considering the mineral dust, soot, crystalline ammonium sulfate, and glassy organics INP types. The comparison of respective INP concentrations indicates the large importance of ammonium sulfate particles.
Yue Peng, Hong Wang, Xiaoye Zhang, Zhaodong Liu, Wenjie Zhang, Siting Li, Chen Han, and Huizheng Che
EGUsphere, https://doi.org/10.5194/egusphere-2022-780, https://doi.org/10.5194/egusphere-2022-780, 2022
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This study demonstrates a strong link between local circulation, aerosols-radiation interaction (ARI), and haze pollution. Under the weak weather-scale systems, the typical local circulation driven by mountainous topography is the main cause of pollutant distribution in the Beijing-Tianjin-Hebei region, and the ARI mechanism amplifies this influence of local circulation on pollutants, making haze pollution aggravated by the superposition of both.
Mykhailo Savenets, Larysa Pysarenko, Svitlana Krakovska, Alexander Mahura, and Tuukka Petäjä
Atmos. Chem. Phys., 22, 15777–15791, https://doi.org/10.5194/acp-22-15777-2022, https://doi.org/10.5194/acp-22-15777-2022, 2022
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The paper explores the spatio-temporal variability of black carbon during a wildfire in August 2010, with a focus on Ukraine. As a research tool, the seamless Enviro-HIRLAM modelling system is used for investigating the atmospheric transport of aerosol particles emitted by wildfires from remote and local sources. The results of this study improve our understanding of the physical and chemical processes and the interactions of aerosols in the atmosphere.
Huilin Huang, Yun Qian, Ye Liu, Cenlin He, Jianyu Zheng, Zhibo Zhang, and Antonis Gkikas
Atmos. Chem. Phys., 22, 15469–15488, https://doi.org/10.5194/acp-22-15469-2022, https://doi.org/10.5194/acp-22-15469-2022, 2022
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Using a clustering method developed in the field of artificial neural networks, we identify four typical dust transport patterns across the Sierra Nevada, associated with the mesoscale and regional-scale wind circulations. Our results highlight the connection between dust transport and dominant weather patterns, which can be used to understand dust transport in a changing climate.
Anbao Zhu, Haiming Xu, Jiechun Deng, Jing Ma, and Shaofeng Hua
Atmos. Chem. Phys., 22, 15425–15447, https://doi.org/10.5194/acp-22-15425-2022, https://doi.org/10.5194/acp-22-15425-2022, 2022
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This study demonstrates the instant and delayed effects of biomass burning (BB) aerosols on precipitation over the Indochina Peninsula (ICP). The convection suppression due to the BB aerosol-induced stabilized atmosphere dominates over the favorable water-vapor condition induced by large-scale circulation responses, leading to an overall reduced precipitation in March, while the delayed effect promotes precipitation from early April to mid April due to the anomalous atmospheric circulations.
Wenjie Zhang, Hong Wang, Xiaoye Zhang, Liping Huang, Yue Peng, Zhaodong Liu, Xiao Zhang, and Huizheng Che
Atmos. Chem. Phys., 22, 15207–15221, https://doi.org/10.5194/acp-22-15207-2022, https://doi.org/10.5194/acp-22-15207-2022, 2022
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Aerosol–cloud interaction (ACI) is first implemented in the atmospheric chemistry system GRAPES_Meso5.1/CUACE. ACI can improve the simulated cloud, temperature, and precipitation under haze pollution conditions in Jing-Jin-Ji in China. This paper demonstrates the critical role of ACI in current numerical weather prediction over the severely polluted region.
Santeri Tuovinen, Runlong Cai, Veli-Matti Kerminen, Jingkun Jiang, Chao Yan, Markku Kulmala, and Jenni Kontkanen
Atmos. Chem. Phys., 22, 15071–15091, https://doi.org/10.5194/acp-22-15071-2022, https://doi.org/10.5194/acp-22-15071-2022, 2022
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We compare observed survival probabilities of atmospheric particles from Beijing, China, with survival probabilities based on analytical formulae and model simulations. We find observed survival probabilities under polluted conditions at smaller sizes to be higher, while at larger sizes they are lower than or similar to theoretical survival probabilities. Uncertainties in condensation sink and growth rate are unlikely to explain higher-than-predicted survival probabilities at smaller sizes.
Stephanie Woodward, Alistair A. Sellar, Yongming Tang, Marc Stringer, Andrew Yool, Eddy Robertson, and Andy Wiltshire
Atmos. Chem. Phys., 22, 14503–14528, https://doi.org/10.5194/acp-22-14503-2022, https://doi.org/10.5194/acp-22-14503-2022, 2022
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We describe the dust scheme in the UKESM1 Earth system model and show generally good agreement with observations. Comparing with the closely related HadGEM3-GC3.1 model, we show that dust differences are not only due to inter-model differences but also to the dust size distribution. Under climate change, HadGEM3-GC3.1 dust hardly changes, but UKESM1 dust decreases because that model includes the vegetation response which, in our models, has a bigger impact on dust than climate change itself.
Yang Yang, Liangying Zeng, Hailong Wang, Pinya Wang, and Hong Liao
Atmos. Chem. Phys., 22, 14489–14502, https://doi.org/10.5194/acp-22-14489-2022, https://doi.org/10.5194/acp-22-14489-2022, 2022
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Using an aerosol–climate model, dust pollution in China affected by different spatial and temporal types of El Niño are examined. Both eastern and central Pacific El Niño and short-duration El Niño increase winter dust concentrations over northern China, while long-duration El Niño decreases concentrations. Only long-duration El Niño events can significantly affect dust over China in the following spring. This study has profound implications for air pollution control and dust storm prediction.
Robin Stevens, Andrei Ryjkov, Mahtab Majdzadeh, and Ashu Dastoor
Atmos. Chem. Phys., 22, 13527–13549, https://doi.org/10.5194/acp-22-13527-2022, https://doi.org/10.5194/acp-22-13527-2022, 2022
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Absorbing particles like black carbon can be coated with other matter. How much radiation these particles absorb depends on the coating thickness. The removal of these particles by clouds and rain depends on the coating composition. These effects are important for both climate and air quality. We implement a more detailed representation of these particles in an air quality model which accounts for both coating thickness and composition. We find a significant effect on particle concentrations.
Fan Wang, Gregory R. Carmichael, Jing Wang, Bin Chen, Bo Huang, Yuguo Li, Yuanjian Yang, and Meng Gao
Atmos. Chem. Phys., 22, 13341–13353, https://doi.org/10.5194/acp-22-13341-2022, https://doi.org/10.5194/acp-22-13341-2022, 2022
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Unprecedented urbanization in China has led to serious urban heat island (UHI) issues, exerting intense heat stress on urban residents. We find diverse influences of aerosol pollution on urban heat island intensity (UHII) under different circulations. Our results also highlight the role of black carbon in aggravating UHI, especially during nighttime. It could thus be targeted for cooperative management of heat islands and aerosol pollution.
Qianqian Song, Zhibo Zhang, Hongbin Yu, Jasper F. Kok, Claudia Di Biagio, Samuel Albani, Jianyu Zheng, and Jiachen Ding
Atmos. Chem. Phys., 22, 13115–13135, https://doi.org/10.5194/acp-22-13115-2022, https://doi.org/10.5194/acp-22-13115-2022, 2022
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This study developed a dataset that enables us to efficiently calculate dust direct radiative effect (DRE, i.e., cooling or warming our planet) for any given dust size distribution in addition to three sets of dust mineral components and two dust shapes. We demonstrate and validate the method of using this dataset to calculate dust DRE. Moreover, using this dataset we found that dust mineral composition is a more important factor in determining dust DRE than dust size and shape.
Eleni Drakaki, Vassilis Amiridis, Alexandra Tsekeri, Antonis Gkikas, Emmanouil Proestakis, Sotirios Mallios, Stavros Solomos, Christos Spyrou, Eleni Marinou, Claire L. Ryder, Demetri Bouris, and Petros Katsafados
Atmos. Chem. Phys., 22, 12727–12748, https://doi.org/10.5194/acp-22-12727-2022, https://doi.org/10.5194/acp-22-12727-2022, 2022
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State-of-the-art atmospheric dust models have limitations in accounting for a realistic dust size distribution (emission, transport). We modify the parameterization of the mineral dust cycle by including particles with diameter >20 μm, as indicated by observations over deserts. Moreover, we investigate the effects of reduced settling velocities of dust particles. Model results are evaluated using airborne and spaceborne dust measurements above Cabo Verde.
Chenguang Tian, Xu Yue, Jun Zhu, Hong Liao, Yang Yang, Yadong Lei, Xinyi Zhou, Hao Zhou, Yimian Ma, and Yang Cao
Atmos. Chem. Phys., 22, 12353–12366, https://doi.org/10.5194/acp-22-12353-2022, https://doi.org/10.5194/acp-22-12353-2022, 2022
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We quantify the impacts of fire aerosols on climate through direct, indirect, and albedo effects. In atmosphere-only simulations, we find global fire aerosols cause surface cooling and rainfall inhibition over many land regions. These fast atmospheric perturbations further lead to a reduction in regional leaf area index and lightning activities. By considering the feedback of fire aerosols on humidity, lightning, and leaf area index, we predict a slight reduction in fire emissions.
Yanxing Wu, Run Liu, Yanzi Li, Junjie Dong, Zhijiong Huang, Junyu Zheng, and Shaw Chen Liu
Atmos. Chem. Phys., 22, 11945–11955, https://doi.org/10.5194/acp-22-11945-2022, https://doi.org/10.5194/acp-22-11945-2022, 2022
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Multiple linear regression (MLR) analyses often interpret the correlation coefficient (r2) as the contribution of an independent variable to the dependent variable. Since a good correlation does not imply a causal relationship, we propose that r2 should be interpreted as the maximum possible contribution. Moreover, MLR results are sensitive to the length of time analyzed; long-term analysis gives a more accurate assessment because of its additional constraints.
Mengying Li, Shaocai Yu, Xue Chen, Zhen Li, Yibo Zhang, Zhe Song, Weiping Liu, Pengfei Li, Xiaoye Zhang, Meigen Zhang, Yele Sun, Zirui Liu, Caiping Sun, Jingkun Jiang, Shuxiao Wang, Benjamin N. Murphy, Kiran Alapaty, Rohit Mathur, Daniel Rosenfeld, and John H. Seinfeld
Atmos. Chem. Phys., 22, 11845–11866, https://doi.org/10.5194/acp-22-11845-2022, https://doi.org/10.5194/acp-22-11845-2022, 2022
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This study constructed an emission inventory of condensable particulate matter (CPM) in China with a focus on organic aerosols (OAs), based on collected CPM emission information. The results show that OA emissions are enhanced twofold for the years 2014 and 2017 after the inclusion of CPM in the new inventory. Sensitivity cases demonstrated the significant contributions of CPM emissions from stationary combustion and mobile sources to primary, secondary, and total OA concentrations.
Petri Räisänen, Joonas Merikanto, Risto Makkonen, Mikko Savolahti, Alf Kirkevåg, Maria Sand, Øyvind Seland, and Antti-Ilari Partanen
Atmos. Chem. Phys., 22, 11579–11602, https://doi.org/10.5194/acp-22-11579-2022, https://doi.org/10.5194/acp-22-11579-2022, 2022
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A climate model is used to evaluate how the radiative forcing (RF) associated with black carbon (BC) emissions depends on the latitude, longitude, and seasonality of emissions. It is found that both the direct RF (BC absorption of solar radiation in air) and snow RF (BC absorption in snow/ice) depend strongly on the emission region and season. The results suggest that, for a given mass of BC emitted, climatic impacts are likely to be largest for high-latitude emissions due to the large snow RF.
Xipeng Jin, Xuhui Cai, Mingyuan Yu, Yu Song, Xuesong Wang, Hongsheng Zhang, and Tong Zhu
Atmos. Chem. Phys., 22, 11409–11427, https://doi.org/10.5194/acp-22-11409-2022, https://doi.org/10.5194/acp-22-11409-2022, 2022
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Meteorological discontinuities in the vertical direction define the lowest atmosphere as the boundary layer, while in the horizontal direction it identifies the contrast zone as the internal boundary. Both of them determine the polluted air mass dimension over the North China Plain. This study reveals the boundary layer structures under three categories of internal boundaries, modified by thermal, dynamical, and blending effects. It provides a new insight to understand regional pollution.
Lichao Yang, Wansuo Duan, Zifa Wang, and Wenyi Yang
Atmos. Chem. Phys., 22, 11429–11453, https://doi.org/10.5194/acp-22-11429-2022, https://doi.org/10.5194/acp-22-11429-2022, 2022
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The initial meteorological state has a great impact on PM2.5 forecasts. Assimilating additional observations is an effective way to improve the accuracy of the initial meteorological state. Here we used an advanced optimization approach to identify where we should preferentially place the meteorological observations associated with PM2.5 forecasts in the Beijing–Tianjin–Hebei region of China. We provide evidence that the target observation strategy is effective for improving PM2.5 forecasts.
Anthony C. Jones, Adrian Hill, John Hemmings, Pascal Lemaitre, Arnaud Quérel, Claire L. Ryder, and Stephanie Woodward
Atmos. Chem. Phys., 22, 11381–11407, https://doi.org/10.5194/acp-22-11381-2022, https://doi.org/10.5194/acp-22-11381-2022, 2022
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As raindrops fall to the ground, they capture aerosol (i.e. below-cloud scavenging or BCS). Many different BCS schemes are available to climate models, and it is unclear what the impact of selecting one scheme over another is. Here, various BCS models are outlined and then applied to mineral dust in climate model simulations. We find that dust concentrations are highly sensitive to the BCS scheme, with dust atmospheric lifetimes ranging from 5 to 44 d.
Zhicong Yin, Mingkeng Duan, Yuyan Li, Tianbao Xu, and Huijun Wang
Atmos. Chem. Phys., 22, 11173–11185, https://doi.org/10.5194/acp-22-11173-2022, https://doi.org/10.5194/acp-22-11173-2022, 2022
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The PM2.5 concentration has been greatly reduced in recent years in China and has entered a crucial stage that required fine seasonal prediction. However, there is still no study aimed at predicting gridded PM2.5 concentration. A model for seasonal prediction of gridded winter PM2.5 concentration in the east of China was developed by analyzing the contributions of emissions and climate variability, which could provide scientific support for air pollution control at the regional and city levels.
Cited articles
Badia, A., Jorba, O., Voulgarakis, A., Dabdub, D., Pérez García-Pando,
C., Hilboll, A., Gonçalves, M., and Janjic, Z.: Description and evaluation of
the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model
(NMMB-MONARCH) version 1.0: gas-phase chemistry at global scale, Geosci.
Model Dev., 10, 609–638, https://doi.org/10.5194/gmd-10-609-2017, 2017.
Baklanov, A., Schlünzen, K., Suppan, P., Baldasano, J., Brunner, D.,
Aksoyoglu, S., Carmichael, G., Douros, J., Flemming, J., Forkel, R.,
Galmarini, S., Gauss, M., Grell, G., Hirtl, M., Joffre, S., Jorba, O., Kaas,
E., Kaasik, M., Kallos, G., Kong, X., Korsholm, U., Kurganskiy, A., Kushta,
J., Lohmann, U., Mahura, A., Manders-Groot, A., Maurizi, A., Moussiopoulos,
N., Rao, S. T., Savage, N., Seigneur, C., Sokhi, R. S., Solazzo, E., Solomos,
S., Sørensen, B., Tsegas, G., Vignati, E., Vogel, B., and Zhang, Y.: Online
coupled regional meteorology chemistry models in Europe: current status and
prospects, Atmos. Chem. Phys., 14, 317-398,
https://doi.org/10.5194/acp-14-317-2014, 2014.
Bonadonna, C., Folch, A., Loughlin, S., and Puempel, H.: Report on the
IAVCEI-WMO workshop on Ash Dispersal Forecast and Civil Aviation, IUGG
Newsletter, 11, 6–7, 2010.
Bonadonna, C., Genco, R., Gouhier, M., Pistolesi, M., Cioni, R., Alfano, F.,
Hoskuldsson, A., and Ripepe, M.: Tephra sedimentation during the 2010
Eyjafjallajkull eruption (Iceland) from deposit, radar, and satellite
observations, J. Geophys. Res.-Sol. Ea., 116, B12202, https://doi.org/10.1029/2011JB008462,
2011.
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., and Costa, A.: Physical characterization of
explosive volcanic eruptions based on tephra deposits: Propagation of
uncertainties and sensitivity analysis, J. Volcanol. Geoth. Res., 296,
80–100,
https://doi.org/10.1016/j.jvolgeores.2015.03.009, 2015a.
Bonadonna, C., Cioni, R., and Pistolesi, M.: Sedimentation of long-lasting
wind-affected volcanic plumes?: the example of the 2011 rhyolitic Cordón
Caulle eruption, Chile, B. Volcanol., 77, 13–32, https://doi.org/10.1007/s00445-015-0900-8,
2015b.
Bowman, K. P., Lin, J. C., Stohl, A., Draxler, R., Konopka, P., Andrews, A.
and Brunner, D.: Input data requirements for Lagrangian trajectory models,
B. Am. Meteorol. Soc., 94, 1051–1058, https://doi.org/10.1175/BAMS-D-12-00076.1,
2013.
Collini, E., Osores, M. S., Folch, A., Viramonte, J., Villarosa, G., and
Salmuni, G.: Volcanic ash forecast during the June 2011 Cordón Caulle
eruption, Nat. Hazards, 66, 389–412, https://doi.org/10.1007/s11069-012-0492-y, 2013.
Costa, A., Suzuki, Y., Cerminara, M., Devenish, B. J., Esposti Ongaro, T.,
Herzog, M., Van Eaton, A., Denby, L., Bursik, M., De' Michieli Vitturi, M.,
Engwell, S., Neri, A., Barsotti, S., Folch, A., Macedonio, G., Girault, F.,
Carazzo, G., Tait, S., Kaminski, É., Mastin, L., Woodhouse, M., Phillips,
J., Hogg, A., Degruyter, W., and Bonadonna, C.: Overview of the Results of
the Eruption Column Model Intercomparison Exercise, J. Volcanol. Geoth. Res.,
326, 2–25,
https://doi.org/10.1016/j.jvolgeores.2016.01.017, 2016.
Degruyter, W. and Bonadonna, C.: Improving on mass flow rate estimates of
volcanic eruptions, Geophys. Res. Lett., 39, 1–6, https://doi.org/10.1029/2012GL052566,
2012.
Elissondo, M., Baumann, V., Bonadonna, C., Pistolesi, M., Cioni, R.,
Bertagnini, A., Biass, S., Herrero, J.-C., and Gonzalez, R.: Chronology and
impact of the 2011 Cordón Caulle eruption, Chile, Nat. Hazards Earth Syst.
Sci., 16, 675–704, https://doi.org/10.5194/nhess-16-675-2016, 2016.
Flentje, H., Claude, H., Elste, T., Gilge, S., Köhler, U., Plass-Dülmer,
C., Steinbrecht, W., Thomas, W., Werner, A., and Fricke, W.: The
Eyjafjallajökull eruption in April 2010 – detection of volcanic plume
using in-situ measurements, ozone sondes and lidar-ceilometer profiles,
Atmos. Chem. Phys., 10, 10085–10092,
https://doi.org/10.5194/acp-10-10085-2010, 2010.
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., 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.
Folch, A., Costa, A., and Macedonio, G.: FPLUME-1.0: An integral volcanic
plume model accounting for ash aggregation, Geosci. Model Dev., 9, 431–450,
https://doi.org/10.5194/gmd-9-431-2016, 2016.
Galmarini, S., Bonnardot, F., Jones, A., Potempski, S., Robertson, L., and
Martet, M.: Multi-model vs. EPS-based ensemble atmospheric dispersion
simulations: A quantitative assessment on the ETEX-1 tracer experiment case,
Atmos. Environ., 44, 3558–3567, https://doi.org/10.1016/j.atmosenv.2010.06.003, 2010.
Ganser, G. H.: A rational approach to drag prediction of spherical and
nonspherical particles, Powder Technol., 77, 143–152,
https://doi.org/10.1016/0032-5910(93)80051-B, 1993.
Grell, G. and Baklanov, A.: Integrated modeling for forecasting weather and
air quality: A call for fully coupled approaches, Atmos. Environ., 45,
6845–6851, https://doi.org/10.1016/j.atmosenv.2011.01.017, 2011.
Gudmundsson, M. T., Thordarson, T., Höskuldsson, Á., Larsen, G.,
Björnsson, H., Prata, F. J., Oddsson, B., Magnússon, E.,
Högnadóttir, T., Petersen, G. N., Hayward, C. L., Stevenson, J. A.,
and Jónsdóttir, I.: Ash generation and distribution from the
April-May 2010 eruption of Eyjafjallajökull, Iceland, Sci. Rep., 2,
1–12, https://doi.org/10.1038/srep00572, 2012.
Institute of Earth Sciences: Eruption in Eyjafjallajökull
2010, available at:
http://earthice.hi.is/eruption_eyjafjallajokull_2010 (last access: 21 December 2017),
2010.
Janjic, Z. and Gall, R.: Scientific documentation of the NCEP nonhydrostatic
multiscale model on the B grid (NMMB). Part 1 Dynamics, NCAR Technical Note,
2012.
Jay, J., Costa, F., Pritchard, M., Lara, L., Singer, B., and Herrin, J.:
Erratum to “Locating magma reservoirs using InSAR and petrology before and
during the 2011–2012 Cordón Caulle silicic eruption”, Earth Planet. Sc.
Lett., 395, 254–266, https://doi.org/10.1016/j.epsl.2014.07.021, 2014.
Jolliffe, I. T. and Stephenson, D. B.: Forecast Verification: A
Practitioner's Guide in Atmospheric Science, 2nd Edn., John Wiley & Sons,
Ltd, Chichester, UK, 2012.
Jorba, O., Dabdub, D., Blaszczak-Boxe, C., Pérez, C., Janjic, Z.,
Baldasano, J. M., Spada, M., Badia, A., and Gonçalves, M.: Potential
significance of photoexcited NO2 on global air quality with the NMMB/BSC
chemical transport model, J. Geophys. Res., 117, D13301, https://doi.org/10.1029/2012JD017730,
2012.
Marti, A., Folch, A., Costa, A., and Engwell, S.: Reconstructing the plinian
and co-ignimbrite sources of large volcanic eruptions: A novel approach for
the Campanian Ignimbrite, Sci. Rep., 6, 21220, https://doi.org/10.1038/srep21220, 2016.
Marti, A., Folch, A., Jorba, O., and Janjic, Z.: Volcanic ash modeling with
the online NMMB-MONARCH-ASH v1.0 model: model description, case simulation,
and evaluation, Atmos. Chem. Phys., 17, 4005–4030,
https://doi.org/10.5194/acp-17-4005-2017, 2017.
Mastin, L. G., Guffanti, M., Servranckx, R., Webley, P., Barsotti, S., Dean,
K., Durant, A., Ewert, J. W., Neri, A., Rose, W., 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.
Miller, T. P. and Casadevall, T. J.: Volcanic ash hazards to aviation, in:
Encyclopedia of Volcanoes, edited by: Sigurdsson, H., Academic Press,
Cambridge, 2000.
Mosca, S., Graziani, G., Klug, W., Bellasio, R., and Bianconi, R.: A
statistical methodology for the evaluation of long-range dispersion models:
an application to the ETEX exercise, Atmos. Environ., 32, 4307–4324,
https://doi.org/10.1016/S1352-2310(98)00179-4, 1998.
Osores, M. S., Folch, A., Ruiz, J., and Collini, E.: Estimación de
alturas de columna eruptiva a partir de imáges captadas por el sensor
IMAGER del GOES-13, y su empleo para el pronóstico de dispersión y
depóstio de cenizas volcánicas sobre Argentina, in XIX Congreso
Geologico Argentino, 2014.
Oxford Economics: The economic impacts of air travel restrictions due to
volcanic ash, available at:
http://www.oxfordeconomics.com/my-oxford/projects/129051 (last access: 21 December 2017),
2010.
Prata, A. J. and Prata, A. T.: Eyjafjallajökull volcanic ash
concentrations determined using Spin Enhanced Visible and Infrared Imager
measurements, J. Geophys. Res.-Atmos., 117, 1–24, https://doi.org/10.1029/2011JD016800,
2012.
Prata, A. J. and Tupper, A.: Aviation hazards from volcanoes: the state of the science, Nat. Hazards, 51,
239–244,
https://doi.org/10.1007/s11069-009-9415-y, 2009.
Stuefer, M., Freitas, S. R., Grell, G., Webley, P., Peckham, S., McKeen, S.
A., and Egan, S. D.: Inclusion of ash and SO2 emissions from volcanic
eruptions in WRF-Chem: development and some applications, Geosci. Model Dev.,
6, 457–468, https://doi.org/10.5194/gmd-6-457-2013, 2013.
Suzuki, T.: A theoretical model for dispersion of tephra, in: In Arc
Volcanism: Physics and Tectonics, Terra Scientific Publishing Company, Tokyo,
93–113, 1983.
Webster, H. N., Thomson, D. J., Johnson, B. T., Heard, I. P. C., Turnbull,
K., Marenco, F., Kristiansen, N. I., Dorsey, J., Minikin, A., Weinzierl, B.,
Schumann, U., Sparks, R. S. J., Loughlin, S. C., Hort, M. C., Leadbetter, S.
J., Devenish, B. J., Manning, A. J., Witham, C. S., Haywood, J. M., and
Golding, B. W.: Operational prediction of ash concentrations in the distal
volcanic cloud from the 2010 Eyjafjallajökull eruption, J. Geophys.
Res.-Atmos., 117, 1–17, https://doi.org/10.1029/2011JD016790, 2012.
Wernli, H., Paulat, M., Hagen, M., and Frei, C.: SAL—A Novel Quality
Measure for the Verification of Quantitative Precipitation Forecasts, Mon.
Weather Rev., 136, 4470–4487, https://doi.org/10.1175/2008MWR2415.1, 2008.
Wilkins, K. L., Watson, I. M., Kristiansen, N. I., Webster, H. N., Thomson,
D. J., Dacre, H. F., and Prata, A. J.: Using data insertion with the NAME
model to simulate the 8 May 2010 Eyjafjallajökull volcanic ash cloud, J.
Geophys. Res.-Atmos., 121, 306–323, https://doi.org/10.1002/2015JD023895, 2016.
Wilson, T., Stewart, C., Bickerton, H., Baxter, P., Outes, V., Villarosa,
G., and Rovere, E.: Impacts of the June 2011 Puyehue-Cordón Caulle
volcanic complex eruption on urban infrastructure, agriculture and public
health, 2013.
WMO: Commission for aeronautical meteorology – VAAC Inputs and Outputs
Dispersion modelling Workshop, 2012.
Woodhouse, M., Hogg, A. J., Phillips, J. C., and Sparks, R. S. J.:
Interaction between volcanic plumes and wind during the 2010
Eyjafjallajökull eruption, Iceland, J. Geophys. Res.-Sol. Ea., 118,
92–109, https://doi.org/10.1029/2012JB009592, 2013.
Short summary
We use the NMMB-MONARCH-ASH model to quantify the systematic errors associated with traditional offline modeling systems used for operational volcanic ash forecast. Evaluation scores indicate that uncertainties credited to offline modeling are of the same order of magnitude as those associated with the source term, failing to reproduce up to 45–70 % of the ash cloud of an online forecast. This work encourages operational groups to consider online dispersal models for real-time aviation advisory.
We use the NMMB-MONARCH-ASH model to quantify the systematic errors associated with traditional...
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