Jérôme Benveniste’s research while affiliated with European Space Agency and other places

... Numerous studies have been conducted in various regions worldwide to examine the spatio-temporal distribution of wave power. These include the Black Sea (Akpınar & Kömürcü, 2013), the Mediterranean and the Black Sea (Görmüş et al., 2024), the Red Sea (Langodan et al., 2016), Chinese coastline (Sun & Wang, 2024), China Sea (Xu et al., 2024;Zheng & Li, 2015), South China Sea (Mirzaei et al., 2015), East China Sea (Shi et al., 2024;Wu et al., 2015), the Bahai Sea (Wang et al., 2016), the Sea of Marmara (Kutupoğlu et al., 2018), the northern coast of Spain (Bento et al., 2018), the Casablanca-Mohammedia coastal area (Mouakkir et al., 2022), the Caribbean Sea (Bethel, 2021;Orejarena-Rondón et al., 2023), the North Aegean Sea (Pinar and Alkanet, 2023), Philippines (Wang et al., 2023), Morocco (El hou et al., 2023), Gulf of Oman (Kamranzad et al., 2016a;Saket & Etemad-Shahidi, 2012), the Galapagos islands (Meneses et al., 2024), Indonesia (Satrio et al., 2025), Chile (Selman-Caro et al., 2024), the North Indian Ocean (Pakhirehzan & MohammadMahdizadeh, 2025;Wan et al., 2022), European coastal waters (de León et al., 2024), the Beibu Gulf (Zhou et al., 2015), and the Persian Gulf (Kamranzad et al., 2013(Kamranzad et al., , 2017Khojasteh & Kamali, 2016;Liao & Kaihatu, 2016;Mahmoodi et al., 2019;Moeini et al., 2014) to examine the spatio-temporal distribution of wave power. The first generation of wave energy studies, which suggested extraction locations based on energy hotspots, include (Arinaga & Cheung, 2012;Cornett, 2008) on a global scale, (Pontes, 1998) in European water bodies, and (Folley & Whittaker, 2009) in the North Atlantic coast of Scotland. ...

Reference:

Wave energy extracting near Siri Island by using new energy converter type selection coefficient

... EBAF combines data from multiple platforms (Aqua, Terra, NOAA20) and is anchored to an independent estimate of EEI from heat uptake analysis (Loeb et al. 2018) EEI central and uncertainty estimates, and (4) improve understanding of EEI variability. In spring 2023, the community met for the first time at a joint WCRP-ESA EEI assessment workshop at ESA-ESRIN, Frascati, Italy, bringing together experts in radiometric remote sensing, satellite altimetry, space gravimetry, ocean in situ measurements and ocean reanalysis/ocean state modeling to assess and intercompare estimates of EEI, their time variability and uncertainties (Meyssignac et al. 2023b). Key findings and recommendations are presented and discussed in Sect. 4. ...

Reference:

Trends and Variability in Earth’s Energy Imbalance and Ocean Heat Uptake Since 2005

... It will indeed be crucial to closely monitor and quantitatively understand changes in the Earth's energy accumulation, particularly during the coming (Meyssignac et al., 2023). Uncertainty ranges indicate the 90 percent confidence interval of the spread caused by uncertainties in forcing, the climate response, and the carbon cycle. ...

Reference:

Earth's Energy Imbalance More Than Doubled in Recent Decades

... With a broader regional context, warming and increasing heat content of the upper ocean is also observed in the eastern subtropical gyre (e.g., Villarino et al., 2020;Siemer et al., 2021) and subpolar gyre of the North Atlantic Ocean (e.g., Desbruyères et al., 2021;Josey and Sinha, 2022;Rousseau et al., 2023). It should also be noted that the formation rates of subtropical mode water formation south of the Gulf Stream has decreased in the last decade (Stevens et al., 2020). ...

Reference:

Forty years of ocean acidification observations (1983–2023) in the Sargasso Sea at the Bermuda Atlantic Time-series Study site

... These scenarios categorize radiative forcing levels and evaluate the warming effects of GHGs in alignment with the Paris Agreement's goal to limit global warming to well below 2 • C, aiming for 1.5 • C (UNFCCC, 2015). Ocean warming (Su et al., 2023) has profound consequences for marine ecosystems (Poloczanska et al., 2016;Williamson and Guinder, 2021;Venegas et al., 2023), contributing to deoxygenation (Schmidtko et al., 2017), eutrophication (Devlin and Brodie, 2013), salinity fluctuations (Röthig et al., 2023), acidification , sea level rise (Becker et al., 2023), circulation shifts (Morrow et al., 2023), and more frequent extreme ocean and weather events (IPCC, 2007). ...

Reference:

Climate-driven warming, deoxygenation, and desertification in large marine ecosystems

... Understanding the bathymetry, or the depth, of these areas is essential for effective management and conservation efforts (Ashphaq et al., 2021). Accurate bathymetric data enable scientists and policymakers to monitor changes in coastal environments, assess the impact of human activities, and implement measures to mitigate coastal hazards such as erosion and storm surges (Laignel et al., 2023). Additionally, bathymetric data are vital for coral reef mapping using remote sensing techniques (Hedley et al., 2018). ...

Reference:

Comparative analysis of three key atmospheric correction techniques for bathymetric mapping in nearshore areas with Sentinel-2 Data -case study: Kish Island, Persian Gulf

... By processing multiple along track echos at once, the delay Doppler principle of SAR processing is exploited to reduce the along track footprint size significantly. Recent studies draw the attention to waveform reconstructions over non-water surfaces (see, e.g., [1], [2] & [3]). By exploiting the altimetry measurements captured by Sentinel-3, we gain insights into land cover characteristics and identify distinct patterns associated with different land cover classes. ...

Reference:

1d-CNN for Land Cover Classification of Sentinel-3 Altimetry Waveforms Using Additional Features

... By processing multiple along track echos at once, the delay Doppler principle of SAR processing is exploited to reduce the along track footprint size significantly. Recent studies draw the attention to waveform reconstructions over non-water surfaces (see, e.g., [1], [2] & [3]). By exploiting the altimetry measurements captured by Sentinel-3, we gain insights into land cover characteristics and identify distinct patterns associated with different land cover classes. ...

Reference:

1d-CNN for Land Cover Classification of Sentinel-3 Altimetry Waveforms Using Additional Features

... Existing grain yield forecasting systems, such as the Global Information and Early Warning System (GIEWS) 9 and the Agricultural Market Information System (AMIS) 10 , predominantly rely on natural environmental indicators-such as radiation, temperature, and vegetation indices (e.g., Normalized Difference Vegetation Index, NDVI) 11,12 . These indicators effectively capture key aspects of crop growth under open-field conditions and have demonstrated direct predictive utility for final harvest outcomes 13 . ...

Reference:

Deep learning struggles to forecast yields in food-insecure, low-production regions

... Nilai IMP sendiri dipengaruhi oleh beberapa hal seperti kesesuaian bentuk waveform terhadap kondisi ideal, kebaikan dari estimasi LEP setelah retracking dan juga kesamaannya dengan profil undulasi geoid yang digunakan. Sesuai dengan penelitian sebelumnya (Birol et al., 2021;Passaro et al., 2022;Schlembach et al., 2022), metode Threshold bekerja lebih optimal pada waveform berbentuk peak dan peaky, seperti yang terjadi pada jarak 0 sampai 10 km dari garis pantai di lokasi penelitian karena lebih adaptif dalam metode statistiknya. Selanjutnya, kemampuan Ocean retracker tidak optimal dikarenakan tidak sesuainya bentuk waveform yang diasumsikan dengan yang sebenarnya (Brown-like dengan peaky). ...

Reference:

Studi Waveform Retracking Jason-2 di Pesisir Barat Daya Sumatera