Oct 2026· GRACE/GRACE-FO Science Team Meeting 2026· 0 citations
Abstract
We report the successful deployment of a Sonardyne Fetch AZA ocean bottom pressure recorder at the Oceanographic Weather Station M (66°N, 2°E) in the Nordic Seas in June 2026. The deployment and data recovery efforts are supported by NASA's GRACE-FO Science Team and the University of Bergen, with the goal of providing an independent, long-term in situ record for the validation and interpretation of satellite gravimetry observations. The instrument was deployed at approximately 2,034 m depth, about 2 km west of the long-term physical oceanographic mooring at Station M, and is recording hourly ocean bottom pressure and temperature. The instrument is equipped with batteries designed to support up to 10 years of operation and an acoustic transducer that enables data to be retrieved remotely from the surface without recovering or disturbing the instrument on the seafloor. A key capability of the Fetch AZA is its in situ self-calibration system, which enables characterization and correction of long-term pressure-sensor drift – a major limitation of conventional bottom pressure records for resolving low-frequency ocean mass variability. An initial data harvest approximately 11 hours after deployment successfully recovered the first measurements and confirmed proper instrument operation. Strong acoustic communications were also established from multiple ranging locations approximately 1 km from the triangulated instrument position, demonstrating the feasibility of future acoustic data recovery. Annual data recovery is planned to build a multi-year, drift-corrected ocean bottom pressure record for comparison with GRACE-FO and future GRACE-C and NGGM observations, and for validation and improvement of their data products.
This publication proposes a definition and a classification of agile software development approaches and analyses ten software development methods that can be characterized as being "agile" against the defined criterion.
P. Abrahamsson, O. Salo, Jussi Ronkainen et al.· arXiv.org· 727 citations· ⚡54
The study shows that agile practices improve both informal and formal communication, but indicates that, in larger development situations involving multiple external stakeholders, a mismatch of adequate communication mechanisms can sometimes even hinder the communication.
M. Pikkarainen, Jukka Haikara, O. Salo et al.· Empirical Software Engineeri...· 401 citations· ⚡48
The results indicate that software engineering work practices are chosen opportunistically, adapted and configured to provide value under the constrains imposed by the startup context.
Nicolò Paternoster, Carmine Giardino, M. Unterkalmsteiner et al.· Information and Software Tec...· 394 citations· ⚡54
It is proved that any global minimizer of the trajectory balance objective can define a policy that samples exactly from the target distribution, and empirically demonstrate the benefits of the trajectories balance objective for GFlowNet convergence, diversity of generated samples, and robustness to long action sequenc...
Esmeralda S. Whitammer, Moksh Jain, Emmanuel Bengio et al.· Neural Information Processin...· 302 citations· ⚡60
Related blog posts
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.