 | Up a level |
URycki, Dawn R.; Kirtane, Anish A.; Aronoff, Rachel; Avila, Colton C.; Blackman, Rosetta C.; Carraro, Luca; Evrard, Olivier; Good, Stephen P.; Hoyos J., Diana C.; López‐Rodríguez, Nieves; Mora, Demetrio; Schadewell, Yvonne; Schilling, Oliver S.; Ceperley, Natalie C. (2024). A new flow path: eDNA connecting hydrology and biology. WIREs Water Wiley 10.1002/wat2.1749
Arheimer, Berit; Cudennec, Christophe; Castellarin, Attilio; Grimaldi, Salvatore; Heal, Kate V.; Lupton, Claire; Sarkar, Archana; Tian, Fuqiang; Kileshye Onema, Jean-Marie; Archfield, Stacey; Blöschl, Günter; Chaffe, Pedro L. Borges; Croke, Barry F.W.; Dembélé, Moctar; Leong, Chris; Mijic, Ana; Mosquera, Giovanny M.; Nlend, Bertil; Olusola, Adeyemi O.; Polo, María J.; ... (2024). The IAHS Science for Solutions decade, with Hydrology Engaging Local People IN a Global world (HELPING). Hydrological sciences journal, pp. 1-19. Taylor & Francis 10.1080/02626667.2024.2355202
Beria, Harsh; Larsen, Joshua R.; Michelon, Anthony; Ceperley, Natalie C.; Schaefli, Bettina (2020). HydroMix v1.0: a new Bayesian mixing framework for attributing uncertain hydrological sources. Geoscientific model development (GMD), 13(5), pp. 2433-2450. Copernicus Publications 10.5194/gmd-13-2433-2020
URycki, Dawn R.; Good, Stephen P.; Crump, Byron C.; Ceperley, Natalie C.; Brooks, J. Renée (5 June 2023). Microbial Communities Reveal Sources of Streamflow in Response to Early-Season Storm Event (Unpublished). In: Advancing watershed science using machine learning, diverse data, and mechanistic modeling from the summit to the sea.
