Rodríguez, A., Ibáñez, M., Bol, R., Brüggemann, N., Lobo, A., Jimenez, J. J., Ruess, L., & Sebastià, M.-T. (2022). Fairy ring-induced soil potassium depletion gradients reshape microbial community composition in a montane grassland. European Journal of Soil Science, 73(3), e13239. https://doi.org/https://doi.org/10.1111/ejss.13239

Muñoz-López, D., Cruset, D., Vergés, J., Cantarero, I., Benedicto, A., Mangenot, X., Albert, R., Gerdes, A., Beranoaguirre, A., & Travé, A. (2022). Spatio-temporal variation of fluid flow behavior along a fold: The Bóixols-Sant Corneli anticline (Southern Pyrenees) from U–Pb dating and structural, petrographic and geochemical constraints. Marine and Petroleum Geology, 143, 105788. https://doi.org/https://doi.org/10.1016/j.marpetgeo.2022.105788

Wide-angle seismic reflection/refraction (WA) surveys provide data that can be modeled to obtain lithospheric-scale P-wave velocity (VP) models. The interpretation of these datasets is often performed as a laborious and time-consuming trial-and-error procedure, in which the relevant model parameters (layer thickness and VP) are manually adjusted until the forward modeling matches the observed travel-times. In this work, we present a fully automatic iterative nonlinear approach to invert WA datasets based on the simulated annealing technique. We test our proposed approach with data from the MARCONI-3 WA profile (southern Bay of Biscay) and compare the outcome with an existing detailed interpretation, discussing the similarities between the two models and the agreement between our model and the observed travel-times.

Original article

Azevedo-Vannson, S., Remusat, L., Bureau, H., Béneut, K., Cesare, B., Khodja, H., Jiménez-Mejías, M., & Roskosz, M. (2022). NanoSIMS determination of the water content of staurolite. Rapid Communications in Mass Spectrometry, n/a(n/a), e9331. https://doi.org/https://doi.org/10.1002/rcm.9331

Pueyo, E.L.; Román-Berdiel, T.; Calvín, P.; Bouchez, J.L.; Beamud, E.; Ayala, C.; Loi, F.; Soto, R.; Clariana, P.; Margalef, A.; Bach, N.; Schamuells, N.; Rubio, F.M.; Gimeno, A.; Fernández de Arévalo, E.; Rey-Moral, C.; García, A.; Martí, J.; Casas, A.M.; García-Lobón, J.L. Petrophysical Characterization of Non-Magnetic Granites; Density and Magnetic Susceptibility Relationships. Geosciences 2022, 12, 240. https://doi.org/10.3390/geosciences12060240

Tadini, A., Harris, A., Morin, J., Bevilacqua, A., Peltier, A., Aspinall, W., Ciolli, S., Bachèlery, P., Bernard, B., Biren, J., Brum da Silveira, A., Cayol, V., Chevrel, O., Coppola, D., Dietterich, H., Donovan, A., Dorado, O., Drenne, S., Dupéré, O., Gurioli, L., Kolzenburg, S., Komorowski, J.-C., Labazuy, P., Mangione, D., Mannini, S., Martel-Asselin, F., Médard, E., Pailot-Bonnétat, S., Rafflin, V., Ramsey, M., Richter, N., Vallejo, S., Villeneuve, N. and Zafrilla, S. (2022) “Structured elicitation of expert judgement in real-time eruption scenarios: an exercise for Piton de la Fournaise volcano, La Réunion island”, Volcanica, 5(1), pp. 105–131. doi: 10.30909/vol.05.01.105131.

Dioguardi F, Massaro S, Chiodini G, Costa A, Folch A, Macedonio G, Sandri L, Selva J, Tamburello G. VIGIL: A Python tool for automatized probabilistic VolcanIc Gas dIspersion modeLling. Ann. Geophys. [Internet]. 2022May2 [cited 2022Jun.16];65(1):DM107. Available from: https://www.annalsofgeophysics.eu/index.php/annals/article/view/8796

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