Articles | Volume 24, issue 10
https://doi.org/10.5194/acp-24-6177-2024
© 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-24-6177-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Air–sea interactions in stable atmospheric conditions: lessons from the desert semi-enclosed Gulf of Eilat (Aqaba)
Shai Abir
Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
Geological Survey of Israel, Jerusalem, Israel
Hamish A. McGowan
Atmospheric Observations Research Group, The University of Queensland, Brisbane, Australia
Yonatan Shaked
Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
Interuniversity Institute for Marine Sciences, Eilat, Israel
Hezi Gildor
Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
Efrat Morin
Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
Institute of Earth Sciences, The Hebrew University of Jerusalem, Jerusalem, Israel
Geological Survey of Israel, Jerusalem, Israel
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Ofer Cohen, Assaf Hochman, Ehud Strobach, Dorita Rostkier-Edelstein, Hezi Gildor, and Ori Adam
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Itamar Yacoby, Hezi Gildor, and Nathan Paldor
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Andrew L. Lowry and Hamish A. McGowan
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We present simulations of the mid-Holocene and pre-industrial climate of Australia using coarse- (2°) and finer-resolution (0.44°) climate models. These simulations are compared to bioclimatic representations of the palaeoclimate of the mid-Holocene. The finer-resolution simulations reduce the bias between the model and the bioclimatic results and highlight the improved value of using finer-resolution models to simulate the palaeoclimate.
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Nir Haim, Vika Grigorieva, Rotem Soffer, Boaz Mayzel, Timor Katz, Ronen Alkalay, Eli Biton, Ayah Lazar, Hezi Gildor, Ilana Berman-Frank, Yishai Weinstein, Barak Herut, and Yaron Toledo
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Adrien Guyot, Jordan P. Brook, Alain Protat, Kathryn Turner, Joshua Soderholm, Nicholas F. McCarthy, and Hamish McGowan
Atmos. Meas. Tech., 16, 4571–4588, https://doi.org/10.5194/amt-16-4571-2023, https://doi.org/10.5194/amt-16-4571-2023, 2023
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We propose a new method that should facilitate the use of weather radars to study wildfires. It is important to be able to identify the particles emitted by wildfires on radar, but it is difficult because there are many other echoes on radar like clear air, the ground, sea clutter, and precipitation. We came up with a two-step process to classify these echoes. Our method is accurate and can be used by fire departments in emergencies or by scientists for research.
Itamar Yacoby, Nathan Paldor, and Hezi Gildor
Ocean Sci., 19, 1163–1181, https://doi.org/10.5194/os-19-1163-2023, https://doi.org/10.5194/os-19-1163-2023, 2023
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Haggai Eyal, Moshe Armon, Yehouda Enzel, and Nadav G. Lensky
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Sella Nevo, Efrat Morin, Adi Gerzi Rosenthal, Asher Metzger, Chen Barshai, Dana Weitzner, Dafi Voloshin, Frederik Kratzert, Gal Elidan, Gideon Dror, Gregory Begelman, Grey Nearing, Guy Shalev, Hila Noga, Ira Shavitt, Liora Yuklea, Moriah Royz, Niv Giladi, Nofar Peled Levi, Ofir Reich, Oren Gilon, Ronnie Maor, Shahar Timnat, Tal Shechter, Vladimir Anisimov, Yotam Gigi, Yuval Levin, Zach Moshe, Zvika Ben-Haim, Avinatan Hassidim, and Yossi Matias
Hydrol. Earth Syst. Sci., 26, 4013–4032, https://doi.org/10.5194/hess-26-4013-2022, https://doi.org/10.5194/hess-26-4013-2022, 2022
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Early flood warnings are one of the most effective tools to save lives and goods. Machine learning (ML) models can improve flood prediction accuracy but their use in operational frameworks is limited. The paper presents a flood warning system, operational in India and Bangladesh, that uses ML models for forecasting river stage and flood inundation maps and discusses the models' performances. In 2021, more than 100 million flood alerts were sent to people near rivers over an area of 470 000 km2.
Francesco Marra, Moshe Armon, and Efrat Morin
Hydrol. Earth Syst. Sci., 26, 1439–1458, https://doi.org/10.5194/hess-26-1439-2022, https://doi.org/10.5194/hess-26-1439-2022, 2022
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We present a new method for quantifying the probability of occurrence of extreme rainfall using radar data, and we use it to examine coastal and orographic effects on extremes. We identify three regimes, directly related to precipitation physical processes, which respond differently to these forcings. The methods and results are of interest for researchers and practitioners using radar for the analysis of extremes, risk managers, water resources managers, and climate change impact studies.
Yoav Ben Dor, Francesco Marra, Moshe Armon, Yehouda Enzel, Achim Brauer, Markus Julius Schwab, and Efrat Morin
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Yair Rinat, Francesco Marra, Moshe Armon, Asher Metzger, Yoav Levi, Pavel Khain, Elyakom Vadislavsky, Marcelo Rosensaft, and Efrat Morin
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Kaushal Gianchandani, Hezi Gildor, and Nathan Paldor
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The classical theories of the western boundary currents, proposed in the first half of the 20th century, are extended to include cases of zonally elongated and meridionally narrow ocean basins. Results show for the first time that in basins that are sufficiently narrow meridionally, the equatorward wind-driven transport away from the western boundary is lower than that in meridionally wide basins. Our theoretical results are employed to explain the low transport in the East Australian Current.
Andrew J. Schwartz, Hamish A. McGowan, Alison Theobald, and Nik Callow
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This study measured energy available for snowmelt during the 2016 and 2017 snow seasons in Kosciuszko National Park, NSW, Australia, and identified common traits for days with similar weather characteristics. The analysis showed that energy available for snowmelt was highest in the days before cold fronts passed through the region due to higher air temperatures. Regardless of differences in daily weather characteristics, solar radiation contributed the highest amount of energy to snowpack melt.
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Short summary
Understanding air–sea heat exchange is vital for studying ocean dynamics. Eddy covariance measurements over the Gulf of Eilat revealed a 3.22 m yr-1 evaporation rate, which is inconsistent with bulk formulae estimations in stable atmospheric conditions, requiring bulk formulae to be revisited in these environments. The surface fluxes have a net cooling effect on the gulf water on an annual mean (-79 W m-2), balanced by a strong exchange flux between the Red Sea and the Gulf of Eilat.
Understanding air–sea heat exchange is vital for studying ocean dynamics. Eddy covariance...
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