Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/20.500.11765/17340
“Godzilla” the Extreme African Dust Event of June 2020: Origins, Transport, and Impact on Air Quality in the Greater Caribbean Basin
Título : “Godzilla” the Extreme African Dust Event of June 2020: Origins, Transport, and Impact on Air Quality in the Greater Caribbean Basin
Autor : Mayol-Bracero, Olga L.Prospero, Joseph M.Sarangi, B.Andrews, ElisabethColarco, Peter RichardCuevas Agulló, Emilio ORCID RESEARCHERID SCOPUSID Autor AEMETGirolamo, Paolo DiGarcía Cabrera, Rosa Delia ORCID RESEARCHERID Gaston, C.Holben, Brent N.Ladino, Luis AntonioLeón, P.Losno, RemiMartínez, O.Martínez Huertas, B. L.Méndez-Lázaro, P.Molinie, J.Muller-Karger, F.Otis, D.Raga, G.Reyes, A.Rosas Nava, J.Rosas, D.Sealy, AndreaSerikov, I.Tong, DanielTorres-Delgado, E.Yu, H.Zuidema, Paquita
Palabras clave : Dust or dust storms; Climate; Satellite observations; Surface observations; Air quality and health; Aerosols particulates
Fecha de publicación : 2025
Editor: American Meteorological Society
Citación : Bulletin of the American Meteorological Society (BAMS). 2025, 106(8), E1620–E1648
Versión del editor: https://doi.org/10.1175/BAMS-D-24-0045.1
Resumen : 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 Goddard Earth Observing System (GEOS) and Weather Research and Forecasting Model coupled with Chemistry (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.
Patrocinador: This work was supported by the NASA ROSES Applied Science, Health, and Air Quality Program Grant 80NSSC19K0194 and the U.S. Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research (OBER), and Atmospheric System Research Program under Contract DE-SC0012704. The CALIMA project acknowledges the support of the NOAA National Weather Service—San Juan Office for the daily weather forecasts. E. A. was supported by the NOAA cooperative agreement with the Cooperative Institute for Research in Environmental Sciences (CIRES; Grant NA22OAR4320151). P. R. C. is supported by the NASA Chemistry Climate Modeling work package supported by the Modeling and Analysis Program (PM: D. Considine) and by a NASA Weather Research and Atmospheric Dynamics grant (PI: E. Nowottnick). H. Y. was supported by the NASA CALIPSO/CloudSat Science Team program. L. D.’s support under Subcontract 1474871 with the Jet Propulsion Laboratory, the California Institute of Technology, is gratefully acknowledged. The group from the UNAM acknowledges the support of the Consejo Nacional de Ciencia y Tecnología and the Dirección General de Asuntos del Personal Académico through Grants FC-2164 and PAPIIT IN111120, respectively. We also thank the University Network of Atmospheric Observatories (RUOA) for the MEDA ground-based data. L. A. L. acknowledges support from Maximizing Access to Research Careers (MARC) Grant 5T34GM007821-40S1 and NSF CAREER Grant AGS-1944958. P. Z. acknowledges support from NOAA OAR CPO Grant NA19OAR4310379. This research was supported by the Atmospheric Radiation Measurement (ARM) user facility, a U.S. Department of Energy (DOE) Office of Science user facility managed by the Biological and Environmental Research program. Specifically, we thank ARM for the loan of the SeaTainer through the project.
URI : http://hdl.handle.net/20.500.11765/17340
ISSN : 0003-0007
1520-0477
Colecciones: Artículos científicos 2023-2026


Ficheros en este ítem:
  Fichero Descripción Tamaño Formato  
BAMS_Mayols_2025.pdf
6,57 MBAdobe PDFVista previa
Visualizar/Abrir
Mostrar el registro completo del ítem



Los ítems de Arcimis están protegidos por una Licencia Creative Commons, salvo que se indique lo contrario.

Repositorio Arcimis
Nota Legal Contacto y sugerencias