ESTCB - Repositório de Dados Científicos
Permanent URI for this collection
Browse
Recent Submissions
- Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for international hydrological climate change detection (ROBIN), 1863 - 2022Publication . Turner, S.; Hannaford, J.; Barker, L.J.; Suman, G.; Armitage, R.; Killeen, A.; Griffin, A.; Davies, H.; Kumar, A.; Dixon, H.; Albuquerque, Maria Teresa; Ribeiro, N. Almeida; Alvarez-Garreton, C.; Amoussou, E.; Arheimer, B.; Asano, Y.; Berezowski, T.; Bodian, A.; Boutaghane, H.; Capell, R.; Dakhaoui, H.; Daňhelka, J.; Do, H.X.; Ekkawatpanit, C.; El Khalki, E.M.; Fleig, A.K.; Fonseca, R.; Giraldo-Osorio, J.D.; Goula, A.B.T.; Hanel, M.; Hodgkins, G.; Horton, S.; Kan, C.; Kingston, D.G.; Laaha, G.; Laugesen, R.; Lopes, W.; Mager, S.; Markonis, Y.; Mediero, L.; Midgley, G.; Murphy, C.; O'Connor, P.; Pedersen, A.I.; Pham, H.T.; Piniewski, M.; Rachdane, M.; Renard, B.; Saidi, M.E.; Schmocker-Facker, P.; Stahl, K.; Thyler, M.; Toucher, M.; Tramblay, Y.; Uusikivi, J.; Venegas-Cordero, N.; Vissesri, S.; Watson, A.; Westra, S.; Whitfield, P.HData were provided by national measuring agencies following a selection process from their wider networks. Following submission of data and metadata to the ROBIN Network, a quality control process was conducted centrally to assess the quality and suitability of the station's inclusion in the dataset. Daily streamflow records were visually screened for change points, visually anomalous conditions indicating methodology changes or infilled data gaps and obvious errors in the data. Stations were removed if they showed signs of not having a sufficiently ‘near-natural' regime, and edits were made over datasets to remove obviously erroneous data periods
- A global dataset of near-natural basins for climate change detectionPublication . Turner, Steve; Hannaford; Berker, Lucy; Dixon, Harry; Griffin, Adam; Kumar, Amit; Suman, Gayatri; Goula, Albert Bi Tié; Watson, Andrew; Pedersen, Anja Iselin; Fleig, Anne; Bodian, Ansoumana; Renard, Benjamin; Arheimer, Berit; Alvarez-Garreton, Camila; Kan, Caroline; Ekkawatpanit, Chaiwat; Murphy, Conor; Ngondondo, Cosmo; Kingston, Daniel; El Khalki,El Mahdi; Amoussou, Ernest; Formetta, Giuseppe; Hodgkins, Glenn; Laaha, Gregor; Sigurðsson,Gunnar; Boutaghson,Hammouda; Giraldo Osorio, Juan Diego; Stahl, Kerstin; Kuraji, Koichiro; Medeiro, Luis; Albuquerque, Maria Teresa; Hanel, Martin; Toucher, Michele; Piniewski,Mikołaj; Saidi, Mohamed Elmehdi; Gautam, Narayan; Venegas Cordero, Nelson; Ribeiro, Nuno de Almeida; O'Connor, Paul; Whitfield, Paul; Schmocker, Petra; Hung-Khoa, Pham Thanh; Midgley, Guy; Rachdane, Mariame; Capell, René; Fonseca, Rita; Mager,Sarah; Westra, Seth; Jain,Sharad; Takanoir,Shimizu; Horton, Sophie; Vissesri, Supattra; Berezowski, Tomasz; Lopes, Walszon; Markonis,Yannis; Asano, Yuko; Tramblay, YvesAs 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.