René Capell
Fil.dr, gruppchef och forskare vid SMHIs hydrologiska forskningsenhet.
René Capell
Implementing digital twin technology of the earth system in Destination Earth
Nils Wedi, Irina Sandu, Peter Bauer, Mario Acosta, Rune Carbuhn Andersen, Ulf Andrae, Ludovic Auger, Gianpaolo Balsamo, Vasileios Baousis, Victoria Bennett, Andrew Bennett, Carlo Buontempo, Pierre-Antoine Bretonnière, Réne Capell, Miguel Castrillo, Matthew Chantry, Matthieu Chevallier, Ricardo Correa, Paolo Davini, Leif Denby, Francisco Doblas-Reyes, Peter Dueben, Claude Fischer, Claudia Frauen, Inger-Lise Frogner, Barbara Früh, Estíbaliz Gascón, Elisabeth Gérard, Oliver Gorwits, Thomas Geenen, Kat Grayson, Nadia Guenova-Rubio, Ioan Hadade, Jost von Hardenberg, Utz-Uwe Haus, James Hawkes, Marcus Hirtl, Joern Hoffmann, Kristian Horvath, Heikki Järvinen, Thomas Jung, Alexander Kann, Daniel Klocke, Nikolay Koldunov, Jenni Kontkanen, Outi Sievi-Korte, Jørn Kristiansen, Emma Kuwertz, Jarmo Mäkelä, Ilja Maljutenko, Ursula McKnight
ROBIN
S. Turner, J. Hannaford, L. J. Barker, G. Suman, A. Killeen, R. Armitage, W. Chan, H. Davies, A. Griffin, A. Kumar, H. Dixon, M. T. D. Albuquerque, N. Almeida Ribeiro, C. Alvarez-Garreton, E. Amoussou, Berit Arheimer, Y. Asano, T. Berezowski, A. Bodian, H. Boutaghane, Réne Capell, H. Dakhaoui, J. Danhelka, H. X. Do, C. Ekkawatpanit, E. M. El Khalki, A. K. Fleig, R. Fonseca, J. D. Giraldo-Osorio, A. B. T. Goula, M. Hanel, S. Horton, C. Kan, D. G. Kingston, G. Laaha, R. Laugesen, W. Lopes, S. Mager, M. Rachdane, Y. Markonis, L. Medeiro, G. Midgley, C. Murphy, P. O'Connor, A. I. Pedersen, H. T. Pham, M. Piniewski, B. Renard, M. E. Saidi, P. Schmocker-Fackel, K. Stahl, M. Thyer, M. Toucher, Y. Tramblay, J. Uusikivi, N. Venegas-Cordero, S. Visessri, A. Watson, S. Westra, P. H. Whitfield
Sammanfattning
Human-induced warming is modifying the water cycle. Adaptation to posed threats requires an understanding of hydrological responses to climate variability. Whilst these can be computationally modelled, observed streamflow data is essential for constraining models, and understanding and quantifying emerging trends in the water cycle. To date, the identification of such trends at the global scale has been hindered by data limitations - in particular, the prevalence of direct human influences on streamflow which can obscure climate-driven variability. By removing these influences, trends in streamflow data can be more confidently attributed to climate variability. Here we describe the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) - the first iteration of a global network of streamflow data from national reference hydrological networks (RHNs) - comprised of catchments which are near-natural or have limited human influences. This collaboration has established a freely available global RHN dataset of over 3,000 catchments and code libraries, which can be used to underpin new science endeavours and advance change detection studies to support international climate policy and adaptation.
Rational gaze
Conrad Brendel, Réne Capell, Alena Bartosova
