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Advisor(s)
Abstract(s)
As hydrological extremes become more severe in the warming world, impacts to livelihoods, infrastructure, and economies worsen. To attribute emerging trends to climate change, we need to remove the signal of anthropogenic activities, such as, the presence of dams, land-cover change, channelisation and the abstraction of water for public water supplies, industry and agriculture. These human disturbances can obscure climate change signals and distort trends in river flows and, in some cases, lead to a complete reversal of true, natural trends.
Description
ROBIN Network:
Albert Bi Tié Goula, Andrew Watson, Anja Iselin Pedersen, Anne Fleig, Ansoumana Bodian, Benjamin Renard, Berit Arheimer, Camila Alvarez-Garreton, Caroline Kan, Chaiwat Ekkawatpanit, Conor Murphy, Cosmo Ngondondo, Daniel Kingston, El Mahdi El Khalki, Ernest Amoussou, Giuseppe Formetta, Glenn Hodgkins, Gregor Laaha, Gunnar Sigurðsson, Hammouda Boutaghane, Hamouda Dakhaoui, Hong Xuan Do, Jan Daňhelka, Jari Uusikivi, Jiabo Yin, Jón Ottó Gunnarsson, Juan Diego Giraldo Osorio, Kerstin Stahl, Koichiro Kuraji, Luis Medeiro, Maria Albuquerque, Martin Hanel, Michele Toucher, Mikołaj Piniewski, Mohamed Elmehdi SAIDI, Narayan Gautam, Nelson Venegas Cordero, Nuno De Almeida Ribeiro, Paul O'Connor, Paul Whitfield, Petra Schmocker, Pham Thanh Hung-Khoa, Prof Guy Midgley, Rachdane Mariame, René Capell, Rita Fonseca, Sarah Mager, Seth Westra, Sharad Jain, Shimizu Takanoir, Sophie Horton, Supattra Vissesri, Tomasz Berezowski, Walszon Lopes, Yannis Markonis, Yuko Asano, Yves Tramblay
Keywords
Citation
TURNER, S. [et al.] (2024 - A global dataset of near-natural basins for climate change detection. In EGU General Assembly 2024, Vienna, Austria, 2024. EGU24-11151 DOI: 10.5194/egusphere-egu24-11151, 2024.