Gómez-Escalonilla, V., Heredia, J., Martínez-Santos, P., López-Gutiérrez, J., and De la Hera-Portillo, A.: Modelling Regional Effects of Artificial Groundwater Recharge in a Multilayer Aquifer Characterized by Perched Water Tables. Hydrological Processes 38 (2), p. e15085., https://doi.org/10.1002/hyp.15085, 2024.

Hsu, S.-C., de Lavenne, A., Andréassian, V., Rabah, A., and Ramos, M.-H.: Better mapping of groundwater-surface water exchanges over the Seine River catchment in a surface hydrological model, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-15833, https://doi.org/10.5194/egusphere-egu24-15833, 2024.

Gómez-Escalonilla, V., Martínez-Santos, P., Pacios, D., Ruíz-Álvarez, L., Díaz-Alcaide, S., Montero-González, E., Martín-Loeches, M., and De la Hera-Portillo, Á.: Nitrate spatial predictions by means of machine learning to improve groundwater monitoring networks, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-10066, https://doi.org/10.5194/egusphere-egu24-10066, 2024.

Gómez-Escalonilla, V., Martínez-Santos, P., De la Hera-Portillo, A., Díaz-Alcaide, S., Montero, E., and Martín-Loeches, M.: A machine learning application for the development of groundwater vulnerability studies, HIC2024, Beijing, China, 27-30 May 2024, https://doi.org/10.3850/iahr-hic2483430201-378, 2024.

Gómez-Escalonilla, V., Martínez-Santos, P., Díaz-Alcaide, S., Montero, E., and Martín-Loeches, M.: GIS-Based Machine Learning Applications as Decision Support Systems to Enhance Groundwater Monitoring Networks, HIC2024, Beijing, China, 27-30 May 2024, https://doi.org/10.3850/iahr-hic2483430201-3, 2024.

Martinez-Santos, P., Gómez-Escalonilla, V., Díaz-Alcaide, S., Rodríguez del Rosario, M., and Héctor, A.: A Surrogate Approach to Model Groundwater Level in Time and Space Based on Tree Regressors, SSRN, http://dx.doi.org/10.2139/ssrn.4890332, 2024.

Miaari, S., and Kollet, S. J.: Temporal Scaling Laws for Wetting and Drying in Variably Saturated Soils, AGU 2024, 9-13 December 2024, Washington D.C., https://agu.confex.com/agu/agu24/meetingapp.cgi/Paper/1612443, 2024.

Avila, L., Kollet, S., de Lavenne, A., and Ramos, M.-H.: Integrating GRACE and ERA5-Land with simulations to estimate monthly groundwater table depth anomalies based on Random Forest and LSTM networks over the Seine River Basin, AGU 2024, 9-13 December 2024, Washington D.C., https://agu.confex.com/agu/agu24/meetingapp.cgi/Paper/1610809, 2024.

Avila, L., de Lavenne, A., Ramos, M.-H., and Kollet, S.: Estimation of Monthly Water Table Depth Anomalies Based on the Integration of GRACE and ERA5-Land with Large-Scale Simulations Using Random Forest and LSTM Networks, Water Resour. Manage., https://doi.org/10.1007/s11269-025-04097-7, 2025.

Hsu, S. C., de Lavenne, A., Perrin, C., and Andréassian, V.: Extra constraint on actual evaporation in a semi-distributed conceptual model to improve model physical realism, Hydrological Sciences Journal, 1–14. https://doi.org/10.1080/02626667.2025.2468846, 2025.

Purnamasari, D., Teuling, A. J., and Weerts, A. H.: Identifying irrigated areas using land surface temperature and hydrological modelling: application to the Rhine basin, Hydrol. Earth Syst. Sci., 29, 1483–1503, https://doi.org/10.5194/hess-29-1483-2025, 2025.

Purnamasari, D., van Verseveld, W., Buitink, J., Sperna Weiland, F., Dalmijn, B., Teuling, A., and Weerts, A.: Implications of incorporating anthropogenic water use in the hydrological model simulations of the Rhine basin, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15753, https://doi.org/10.5194/egusphere-egu25-15753, 2025.

Collignan, J., Ramos, M.-H., de Lavenne, A., Barbé, C., and Riboust, P.: Assessing water management vulnerability under future climate scenarios: the case of the reservoirs in the Seine River basin, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-8618, https://doi.org/10.5194/egusphere-egu25-8618, 2025.

Engeland, K., Gelati, E., Hegdahl, T. J., Huang, S., and Veie, C. A.: Climate change impacts on reservoir operations and water availability – a case study from Drammen river basin in Norway , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-15110, https://doi.org/10.5194/egusphere-egu25-15110, 2025.

Graf, T., Glas, M., Monji, F., Klösch, M., Preiml, M., ter Maat, J., Toma, A., Scrieciu, A., and Habersack, H.: RIBASIM Danube: Modeling water allocation in the Danube Basin with a focus on low-flow conditions, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-6640, https://doi.org/10.5194/egusphere-egu25-6640, 2025.

Scrieciu, A. and Toma, A.: Monitoring Long-Term Land Cover Transformations in the Danube Delta using Landsat Satellite Imagery, EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-16549, https://doi.org/10.5194/egusphere-egu25-16549, 2025.