Articles | Volume 24, issue 17
https://doi.org/10.5194/acp-24-9843-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-9843-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Sep 2024
Research article |
| 06 Sep 2024
| 06 Sep 2024
Quantifying the dust direct radiative effect in the southwestern United States: findings from multiyear measurements
Alexandra Kuwano
Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
Blake Walkowiak
Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
Robert Frouin
Scripps Institution of Oceanography, University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, USA
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Jason Xavier Prochaska and Robert J. Frouin
Biogeosciences, 22, 4705–4728, https://doi.org/10.5194/bg-22-4705-2025, https://doi.org/10.5194/bg-22-4705-2025, 2025
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Satellites monitor ocean health globally, but we discovered a fundamental physics limitation when measuring phytoplankton – tiny plants essential to marine ecosystems. Our analysis shows that even advanced satellites cannot reliably distinguish phytoplankton from other ocean components. This challenges decades of research and suggests that existing measurements have greater uncertainties than realized. Combining satellite data with direct ocean sampling is needed for better monitoring of these vital organisms.
Ana I. Dogliotti, Reinaldo A. Maenza, Moira Luz Clara, Vivian A. Lutz, and Robert Frouin
EGUsphere, https://doi.org/10.5194/egusphere-2025-2033, https://doi.org/10.5194/egusphere-2025-2033, 2025
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We analyzed 22 years of satellite and modeled data to study how light and mixing shape phytoplankton blooms on the Argentine Continental Shelf. Blooms start earlier on the central shelf and coast, and later on the deeper, colder Patagonian Shelf. Bloom intensity is highest in nutrient-rich, well-lit waters. Light penetration and mixing are key drivers, but local ocean features also influence bloom patterns. These results help improve bloom and productivity predictions.
André Valente, Shubha Sathyendranath, Vanda Brotas, Steve Groom, Michael Grant, Thomas Jackson, Andrei Chuprin, Malcolm Taberner, Ruth Airs, David Antoine, Robert Arnone, William M. Balch, Kathryn Barker, Ray Barlow, Simon Bélanger, Jean-François Berthon, Şükrü Beşiktepe, Yngve Borsheim, Astrid Bracher, Vittorio Brando, Robert J. W. Brewin, Elisabetta Canuti, Francisco P. Chavez, Andrés Cianca, Hervé Claustre, Lesley Clementson, Richard Crout, Afonso Ferreira, Scott Freeman, Robert Frouin, Carlos García-Soto, Stuart W. Gibb, Ralf Goericke, Richard Gould, Nathalie Guillocheau, Stanford B. Hooker, Chuamin Hu, Mati Kahru, Milton Kampel, Holger Klein, Susanne Kratzer, Raphael Kudela, Jesus Ledesma, Steven Lohrenz, Hubert Loisel, Antonio Mannino, Victor Martinez-Vicente, Patricia Matrai, David McKee, Brian G. Mitchell, Tiffany Moisan, Enrique Montes, Frank Muller-Karger, Aimee Neeley, Michael Novak, Leonie O'Dowd, Michael Ondrusek, Trevor Platt, Alex J. Poulton, Michel Repecaud, Rüdiger Röttgers, Thomas Schroeder, Timothy Smyth, Denise Smythe-Wright, Heidi M. Sosik, Crystal Thomas, Rob Thomas, Gavin Tilstone, Andreia Tracana, Michael Twardowski, Vincenzo Vellucci, Kenneth Voss, Jeremy Werdell, Marcel Wernand, Bozena Wojtasiewicz, Simon Wright, and Giuseppe Zibordi
Earth Syst. Sci. Data, 14, 5737–5770, https://doi.org/10.5194/essd-14-5737-2022, https://doi.org/10.5194/essd-14-5737-2022, 2022
Short summary
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A compiled set of in situ data is vital to evaluate the quality of ocean-colour satellite data records. Here we describe the global compilation of bio-optical in situ data (spanning from 1997 to 2021) used for the validation of the ocean-colour products from the ESA Ocean Colour Climate Change Initiative (OC-CCI). The compilation merges and harmonizes several in situ data sources into a simple format that could be used directly for the evaluation of satellite-derived ocean-colour data.
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Short summary
The dust direct radiative effect is highly uncertain. Here we used new measurements collected over 3 years and during dust storms at a field site in a desert region in the southwestern United States to estimate the regional dust direct radiative effect. We also used novel soil mineralogy retrieved from an airborne spectrometer to estimate this parameter with model output. We find that, in this region, dust has a minimal net cooling effect on this region's climate.
The dust direct radiative effect is highly uncertain. Here we used new measurements collected...
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