“Godzilla”, the extreme African dust event of June 2020: Origins, Transport, and Impact on Air Quality in the Greater Caribbean Basin

O. L. Mayol-Bracero Brookhaven National Laboratory, Upton, New York, USA

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J. M. Prospero Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami, Miami, FL, USA

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B. Sarangi Department of Environmental Science, University of Puerto Rico-Rio Piedras Campus, San Juan, Puerto Rico, USA

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E. Andrews National Oceanic and Atmospheric Administration/Global Monitoring Laboratory, Boulder, Colorado, USA
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, Colorado, USA

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P. R. Colarco NASA Goddard Space Flight Center, Greenbelt, MD, USA

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E. Cuevas Izaña Atmospheric Research Center (IARC), State Meteorological Agency of Spain (AEMET), Santa Cruz de Tenerife, Spain

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L. Di Girolamo University of Illinois at Urbana-Champaign, Urbana, IL, USA

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R. D. Garcia Izaña Atmospheric Research Center (IARC), State Meteorological Agency of Spain (AEMET), Santa Cruz de Tenerife, Spain
TRAGSATEC, Madrid, Spain

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C. Gaston Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami, Miami, FL, USA

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B. Holben NASA Goddard Space Flight Center, Greenbelt, MD, USA

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L. A. Ladino Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, México

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P. León Department of Environmental Science, University of Puerto Rico-Rio Piedras Campus, San Juan, Puerto Rico, USA

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R. Losno University of Paris, IPGP, France

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O. Martínez NOAA National Weather Service, San Juan Office, Puerto Rico, USA

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B. L. Martínez-Huertas Department of Environmental Science, University of Puerto Rico-Rio Piedras Campus, San Juan, Puerto Rico, USA

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P. Méndez-Lázaro Environmental Health Department, University of Puerto Rico-Medical Sciences Campus, San Juan, Puerto Rico, USA

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J. Molinie Laboratoire de Recherche en Geosciences et Energies, Université des Antilles, Guadeloupe, France

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F. Muller-Karger Institute for Marine Remote Sensing, University of South Florida, Tampa, Florida, USA

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D. Otis Institute for Marine Remote Sensing, University of South Florida, Tampa, Florida, USA

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G. Raga Instituto de Ciencias de la Atmósfera y Cambio Climático, Universidad Nacional Autónoma de México, México

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A. Reyes Caribbean Institute for Meteorology and Hydrology, St. James, Barbados

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J. Rosas Nava Department of Environmental Science, University of Puerto Rico-Rio Piedras Campus, San Juan, Puerto Rico, USA

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D. Rosas Facultad de Química, Universidad Autónoma de Yucatán, México

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A. Sealy Caribbean Institute for Meteorology and Hydrology, St. James, Barbados

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I. Serikov Max Planck Institute for Meteorology, Hamburg, Germany

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D. Tong George Mason University, Fairfax, VA, USA

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E. Torres-Delgado Department of Environmental Science, University of Puerto Rico-Rio Piedras Campus, San Juan, Puerto Rico, USA

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H. Yu NASA Goddard Space Flight Center, Greenbelt, MD, USA

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P. Zuidema Rosenstiel School of Marine, Atmospheric and Earth Science, University of Miami, Miami, FL, USA

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Abstract

In June 2020, the tropical Atlantic and the Caribbean Basin were affected by a series of African dust outbreaks unprecedented in size and intensity. These events, informally named “Godzilla”, coincided with CALIMA, a large field campaign, offering a rare opportunity to assess the impact of African dust on air quality in the Greater Caribbean Basin. Network measurements of respirable particles (i.e., PM10 and PM2.5) showed that dust significantly degraded regional air quality and increased the risk to public health in the Caribbean, the southern United States, northern South America, and Central America. CALIMA examined the meteorological context of Godzilla dust events over North Africa and how these conditions might relate to the greatly increased dust emissions and enhanced transport to the Americas. Godzilla was linked to strong pressure anomalies over West Africa, resulting in a large-scale geostrophic wind anomaly at 700 hPa over North Africa. We used surface-based and columnar measurements to test the performance of two frequently used aerosol forecast models: the NASA GEOS and WRF-Chem models. The models showed some skills, but differed substantially between their forecasts, suggesting large uncertainties in these forecasts that are critical for issuing early warnings of health-threatening dust events. Our results demonstrate the value of an integrated approach in characterizing the spatial and temporal variability of African dust transport and assessing its impact on regional air quality. Future studies are needed to improve models and to track the long-term changes in dust transport from Africa under a changing climate.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Olga L. Mayol-Bracero, omayol@bnl.gov

Abstract

In June 2020, the tropical Atlantic and the Caribbean Basin were affected by a series of African dust outbreaks unprecedented in size and intensity. These events, informally named “Godzilla”, coincided with CALIMA, a large field campaign, offering a rare opportunity to assess the impact of African dust on air quality in the Greater Caribbean Basin. Network measurements of respirable particles (i.e., PM10 and PM2.5) showed that dust significantly degraded regional air quality and increased the risk to public health in the Caribbean, the southern United States, northern South America, and Central America. CALIMA examined the meteorological context of Godzilla dust events over North Africa and how these conditions might relate to the greatly increased dust emissions and enhanced transport to the Americas. Godzilla was linked to strong pressure anomalies over West Africa, resulting in a large-scale geostrophic wind anomaly at 700 hPa over North Africa. We used surface-based and columnar measurements to test the performance of two frequently used aerosol forecast models: the NASA GEOS and WRF-Chem models. The models showed some skills, but differed substantially between their forecasts, suggesting large uncertainties in these forecasts that are critical for issuing early warnings of health-threatening dust events. Our results demonstrate the value of an integrated approach in characterizing the spatial and temporal variability of African dust transport and assessing its impact on regional air quality. Future studies are needed to improve models and to track the long-term changes in dust transport from Africa under a changing climate.

© 2025 American Meteorological Society. This is an Author Accepted Manuscript distributed under the terms of the default AMS reuse license. For information regarding reuse and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Olga L. Mayol-Bracero, omayol@bnl.gov
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