Impact of argopy#

Papers & proceedings mentioning argopy#

  • Bartlett, Jenna, “An investigation of geostationary satellite imagery to compare developing and non-developing African easterly waves” (2022). Thesis and Dissertations. 5600. https://scholarsjunction.msstate.edu/td/5600

  • Chafik, et.al, “The Faroe-Shetland Channel Jet: Structure, Variability, and Driving Mechanisms”, 2023, JGR Oceans, https://doi.org/10.1029/2022JC019083

  • Chevillard C, Juza M, Dıaz-Barroso L, Reyes E, Escudier R and Tintore J (2024) Capability of the Mediterranean Argo network to monitor sub-regional climate change indicators. Front. Mar. Sci. 11:1416486. https://doi.org/10.3389/fmars.2024.1416486

  • Dan E. Kelley, Jaimie Harbin, Clark Richards, “argoFloats: An R Package for Analyzing Argo Data”, 2021 Frontiers in Marine Science, https://doi.org/10.3389/fmars.2021.635922

  • de Solo, Sofia M., “What makes a hurricane fall apart? A multi-platform assessment of tropical cyclone weakening By” (2021). Thesis and Dissertations. 5274. https://scholarsjunction.msstate.edu/td/5274

  • Dunnington et al., (2021). argodata: An R interface to oceanographic data from the International Argo Program. Journal of Open Source Software, 6(68), 3659, https://doi.org/10.21105/joss.03659

  • Elipot S. , P Miron, M Curcic, K Santana, R Lumpkin (2024). Clouddrift: a Python package to accelerate the use of Lagrangian data for atmospheric, oceanic, and climate sciences. Journal of Open Source Software, 9(99), 6742, https://joss.theoj.org/papers/10.21105/joss.06742

  • Gonzalez A., “The Argo Online School: An e-learning tool to get started with Argo” (2023), The Journal of Open Source Education (Under review)

  • Huda, Md Nurul, “Machine Learning for Improvement of Ocean Data Resolution for Weather Forecasting and Climatological Research” (2023). Thesis and Dissertations, Virginia Tech, http://hdl.handle.net/10919/116504

  • Steinberg, J. M., Piecuch, C. G., Hamlington, B. D., Thompson, P. R., & Coats, S. (2024). Influence of deep-ocean warming on coastal sea-level decadal trends in the Gulf of Mexico. Journal of Geophysical Research: Oceans, 129, e2023JC019681. https://doi.org/10.1029/2023JC019681

  • Zhang, Y. (2023). Python Data Analysis Techniques in Administrative Information Integration Management System. In: Atiquzzaman, M., Yen, N.Y., Xu, Z. (eds) Proceedings of the 4th International Conference on Big Data Analytics for Cyber-Physical System in Smart City - Volume 2. BDCPS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 168. Springer, Singapore. https://doi.org/10.1007/978-981-99-1157-8_35

Other interesting mentions#

Blog post & personal pages :

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