TY - JOUR A1 - Schmidt, Hendrikje A1 - Felisatti, Arianna A1 - Aster, Michael von A1 - Wilbert, Jürgen A1 - Moers, Arpad von A1 - Fischer, Martin H. T1 - Neuromuscular diseases affect number representation and processing BT - An exploratory study JF - Frontiers in psychology / Frontiers Research Foundation N2 - Spinal muscular atrophy (SMA) and Duchenne muscular dystrophy (DMD) both are rare genetic neuromuscular diseases with progressive loss of motor ability. The neuromotor developmental course of those diseases is well documented. In contrast, there is only little evidence about characteristics of general and specific cognitive development. In both conditions the final motor outcome is characterized by an inability to move autonomously: children with SMA never accomplish independent motoric exploration of their environment, while children with DMD do but later lose this ability again. These profound differences in developmental pathways might affect cognitive development of SMA vs. DMD children, as cognition is shaped by individual motor experiences. DMD patients show impaired executive functions, working memory, and verbal IQ, whereas only motor ability seems to be impaired in SMA. Advanced cognitive capacity in SMA may serve as a compensatory mechanism for achieving in education, career progression, and social satisfaction. This study aimed to relate differences in basic numerical concepts and arithmetic achievement in SMA and DMD patients to differences in their motor development and resulting sensorimotor and environmental experiences. Horizontal and vertical spatial-numerical associations were explored in SMA/DMD children ranging between 6 and 12 years through the random number generation task. Furthermore, arithmetic skills as well as general cognitive ability were assessed. Groups differed in spatial number processing as well as in arithmetic and domain-general cognitive functions. Children with SMA showed no horizontal and even reversed vertical spatial-numerical associations. Children with DMD on the other hand revealed patterns in spatial numerical associations comparable to healthy developing children. From the embodied Cognition perspective, early sensorimotor experience does play a role in development of mental number representations. However, it remains open whether and how this becomes relevant for the acquisition of higher order cognitive and arithmetic skills. KW - spatial-numerical associations KW - numerical processing KW - mathematics KW - child development KW - embodied cognition KW - neuromuscular disease KW - spinal muscular atrophy KW - Duchenne muscular dystrophy Y1 - 2021 U6 - https://doi.org/10.3389/fpsyg.2021.697881 SN - 1664-1078 VL - 12 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Actis, M. A1 - Agnetta, G. A1 - Aharonian, Felix A. A1 - Akhperjanian, A. G. A1 - Aleksic, J. A1 - Aliu, E. A1 - Allan, D. A1 - Allekotte, I. A1 - Antico, F. A1 - Antonelli, L. A. A1 - Antoranz, P. A1 - Aravantinos, A. A1 - Arlen, T. A1 - Arnaldi, H. A1 - Artmann, S. A1 - Asano, K. A1 - Asorey, H. G. A1 - Baehr, J. A1 - Bais, A. A1 - Baixeras, C. A1 - Bajtlik, S. A1 - Balis, D. A1 - Bamba, A. A1 - Barbier, C. A1 - Barcelo, M. A1 - Barnacka, Anna A1 - Barnstedt, Jürgen A1 - de Almeida, U. Barres A1 - Barrio, J. A. A1 - Basso, S. A1 - Bastieri, D. A1 - Bauer, C. A1 - Becerra Gonzalez, J. A1 - Becherini, Yvonne A1 - Bechtol, K. C. A1 - Becker, J. A1 - Beckmann, Volker A1 - Bednarek, W. A1 - Behera, B. A1 - Beilicke, M. A1 - Belluso, M. A1 - Benallou, M. A1 - Benbow, W. A1 - Berdugo, J. A1 - Berger, K. A1 - Bernardino, T. A1 - Bernlöhr, K. A1 - Biland, A. A1 - Billotta, S. A1 - Bird, T. A1 - Birsin, E. A1 - Bissaldi, E. A1 - Blake, S. A1 - Blanch Bigas, O. A1 - Bobkov, A. A. A1 - Bogacz, L. A1 - Bogdan, M. A1 - Boisson, Catherine A1 - Boix Gargallo, J. A1 - Bolmont, J. A1 - Bonanno, G. A1 - Bonardi, A. A1 - Bonev, T. A1 - Borkowski, Janett A1 - Botner, O. A1 - Bottani, A. A1 - Bourgeat, M. A1 - Boutonnet, C. A1 - Bouvier, A. A1 - Brau-Nogue, S. A1 - Braun, I. A1 - Bretz, T. A1 - Briggs, M. S. A1 - Brun, Pierre A1 - Brunetti, L. A1 - Buckley, H. A1 - Bugaev, V. A1 - Buehler, R. A1 - Bulik, Tomasz A1 - Busetto, G. A1 - Buson, S. A1 - Byrum, K. A1 - Cailles, M. A1 - Cameron, R. A. A1 - Canestrari, R. A1 - Cantu, S. A1 - Carmona, E. A1 - Carosi, A. A1 - Carr, John A1 - Carton, P. H. A1 - Casiraghi, M. A1 - Castarede, H. A1 - Catalano, O. A1 - Cavazzani, S. A1 - Cazaux, S. A1 - Cerruti, B. A1 - Cerruti, M. A1 - Chadwick, M. A1 - Chiang, J. A1 - Chikawa, M. A1 - Cieslar, M. A1 - Ciesielska, M. A1 - Cillis, A. N. A1 - Clerc, C. A1 - Colin, P. A1 - Colome, J. A1 - Compin, M. A1 - Conconi, P. A1 - Connaughton, V. A1 - Conrad, Jan A1 - Contreras, J. L. A1 - Coppi, P. A1 - Corlier, M. A1 - Corona, P. A1 - Corpace, O. A1 - Corti, D. A1 - Cortina, J. A1 - Costantini, H. A1 - Cotter, G. A1 - Courty, B. A1 - Couturier, S. A1 - Covino, S. A1 - Croston, J. A1 - Cusumano, G. A1 - Daniel, M. K. A1 - Dazzi, F. A1 - Deangelis, A. A1 - de Cea del Pozo, E. A1 - Dal Pino, E. M. de Gouveia A1 - de Jager, O. A1 - de la Calle Perez, I. A1 - De La Vega, G. A1 - De Lotto, B. A1 - de Naurois, M. A1 - Wilhelmi, E. de Ona A1 - de Souza, V. A1 - Decerprit, B. A1 - Deil, C. A1 - Delagnes, E. A1 - Deleglise, G. A1 - Delgado, C. A1 - Dettlaff, T. A1 - Di Paolo, A. A1 - Di Pierro, F. A1 - Diaz, C. A1 - Dick, J. A1 - Dickinson, H. A1 - Digel, S. W. A1 - Dimitrov, D. A1 - Disset, G. A1 - Djannati-Ataï, A. A1 - Doert, M. A1 - Domainko, W. A1 - Dorner, D. A1 - Doro, M. A1 - Dournaux, J. -L. A1 - Dravins, D. A1 - Drury, L. A1 - Dubois, F. A1 - Dubois, R. A1 - Dubus, G. A1 - Dufour, C. A1 - Durand, D. A1 - Dyks, J. A1 - Dyrda, M. A1 - Edy, E. A1 - Egberts, Kathrin A1 - Eleftheriadis, C. A1 - Elles, S. A1 - Emmanoulopoulos, D. A1 - Enomoto, R. A1 - Ernenwein, J. -P. A1 - Errando, M. A1 - Etchegoyen, A. A1 - Falcone, A. D. A1 - Farakos, K. A1 - Farnier, C. A1 - Federici, S. A1 - Feinstein, F. A1 - Ferenc, D. A1 - Fillin-Martino, E. A1 - Fink, D. A1 - Finley, C. A1 - Finley, J. P. A1 - Firpo, R. A1 - Florin, D. A1 - Foehr, C. A1 - Fokitis, E. A1 - Font, Ll. A1 - Fontaine, G. A1 - Fontana, A. A1 - Foerster, A. A1 - Fortson, L. A1 - Fouque, N. A1 - Fransson, C. A1 - Fraser, G. W. A1 - Fresnillo, L. A1 - Fruck, C. A1 - Fujita, Y. A1 - Fukazawa, Y. A1 - Funk, S. A1 - Gaebele, W. A1 - Gabici, S. A1 - Gadola, A. A1 - Galante, N. A1 - Gallant, Y. A1 - Garcia, B. A1 - Garcia Lopez, R. J. A1 - Garrido, D. A1 - Garrido, L. A1 - Gascon, D. A1 - Gasq, C. A1 - Gaug, M. A1 - Gaweda, J. A1 - Geffroy, N. A1 - Ghag, C. A1 - Ghedina, A. A1 - Ghigo, M. A1 - Gianakaki, E. A1 - Giarrusso, S. A1 - Giavitto, G. A1 - Giebels, B. A1 - Giro, E. A1 - Giubilato, P. A1 - Glanzman, T. A1 - Glicenstein, J. -F. A1 - Gochna, M. A1 - Golev, V. A1 - Gomez Berisso, M. A1 - Gonzalez, A. A1 - Gonzalez, F. A1 - Granena, F. A1 - Graciani, R. A1 - Granot, J. A1 - Gredig, R. A1 - Green, A. A1 - Greenshaw, T. A1 - Grimm, O. A1 - Grube, J. A1 - Grudzinska, M. A1 - Grygorczuk, J. A1 - Guarino, V. A1 - Guglielmi, L. A1 - Guilloux, F. A1 - Gunji, S. A1 - Gyuk, G. A1 - Hadasch, D. A1 - Haefner, D. A1 - Hagiwara, R. A1 - Hahn, J. A1 - Hallgren, A. A1 - Hara, S. A1 - Hardcastle, M. J. A1 - Hassan, T. A1 - Haubold, T. A1 - Hauser, M. A1 - Hayashida, M. A1 - Heller, R. A1 - Henri, G. A1 - Hermann, G. A1 - Herrero, A. A1 - Hinton, James Anthony A1 - Hoffmann, D. A1 - Hofmann, W. A1 - Hofverberg, P. A1 - Horns, D. A1 - Hrupec, D. A1 - Huan, H. A1 - Huber, B. A1 - Huet, J. -M. A1 - Hughes, G. A1 - Hultquist, K. A1 - Humensky, T. B. A1 - Huppert, J. -F. A1 - Ibarra, A. A1 - Illa, J. M. A1 - Ingjald, J. A1 - Inoue, S. A1 - Inoue, Y. A1 - Ioka, K. A1 - Jablonski, C. A1 - Jacholkowska, A. A1 - Janiak, M. A1 - Jean, P. A1 - Jensen, H. A1 - Jogler, T. A1 - Jung, I. A1 - Kaaret, P. A1 - Kabuki, S. A1 - Kakuwa, J. A1 - Kalkuhl, C. A1 - Kankanyan, R. A1 - Kapala, M. A1 - Karastergiou, A. A1 - Karczewski, M. A1 - Karkar, S. A1 - Karlsson, N. A1 - Kasperek, J. A1 - Katagiri, H. A1 - Katarzynski, K. A1 - Kawanaka, N. A1 - Kedziora, B. A1 - Kendziorra, E. A1 - Khelifi, B. A1 - Kieda, D. A1 - Kifune, T. A1 - Kihm, T. A1 - Klepser, S. A1 - Kluzniak, W. A1 - Knapp, J. A1 - Knappy, A. R. A1 - Kneiske, T. A1 - Knoedlseder, J. A1 - Koeck, F. A1 - Kodani, K. A1 - Kohri, K. A1 - Kokkotas, K. A1 - Komin, N. A1 - Konopelko, A. A1 - Kosack, K. A1 - Kossakowski, R. A1 - Kostka, P. A1 - Kotula, J. A1 - Kowal, G. A1 - Koziol, J. A1 - Kraehenbuehl, T. A1 - Krause, J. A1 - Krawczynski, H. A1 - Krennrich, F. A1 - Kretzschmann, A. A1 - Kubo, H. A1 - Kudryavtsev, V. A. A1 - Kushida, J. A1 - La Barbera, N. A1 - La Parola, V. A1 - La Rosa, G. A1 - Lopez, A. A1 - Lamanna, G. A1 - Laporte, P. A1 - Lavalley, C. A1 - Le Flour, T. A1 - Le Padellec, A. A1 - Lenain, J. -P. A1 - Lessio, L. A1 - Lieunard, B. A1 - Lindfors, E. A1 - Liolios, A. A1 - Lohse, T. A1 - Lombardi, S. A1 - Lopatin, A. A1 - Lorenz, E. A1 - Lubinski, P. A1 - Luz, O. A1 - Lyard, E. A1 - Maccarone, M. C. A1 - Maccarone, T. A1 - Maier, G. A1 - Majumdar, P. A1 - Maltezos, S. A1 - Malkiewicz, P. A1 - Mana, C. A1 - Manalaysay, A. A1 - Maneva, G. A1 - Mangano, A. A1 - Manigot, P. A1 - Marin, J. A1 - Mariotti, M. A1 - Markoff, S. A1 - Martinez, G. A1 - Martinez, M. A1 - Mastichiadis, A. A1 - Matsumoto, H. A1 - Mattiazzo, S. A1 - Mazin, D. A1 - McComb, T. J. L. A1 - McCubbin, N. A1 - McHardy, I. A1 - Medina, C. A1 - Melkumyan, D. A1 - Mendes, A. A1 - Mertsch, P. A1 - Meucci, M. A1 - Michalowski, J. A1 - Micolon, P. A1 - Mineo, T. A1 - Mirabal, N. A1 - Mirabel, F. A1 - Miranda, J. M. A1 - Mirzoyan, R. A1 - Mizuno, T. A1 - Moal, B. A1 - Moderski, R. A1 - Molinari, E. A1 - Monteiro, I. A1 - Moralejo, A. A1 - Morello, C. A1 - Mori, K. A1 - Motta, G. A1 - Mottez, F. A1 - Moulin, Emmanuel A1 - Mukherjee, R. A1 - Munar, P. A1 - Muraishi, H. A1 - Murase, K. A1 - Murphy, A. Stj. A1 - Nagataki, S. A1 - Naito, T. A1 - Nakamori, T. A1 - Nakayama, K. A1 - Naumann, C. L. A1 - Naumann, D. A1 - Nayman, P. A1 - Nedbal, D. A1 - Niedzwiecki, A. A1 - Niemiec, J. A1 - Nikolaidis, A. A1 - Nishijima, K. A1 - Nolan, S. J. A1 - Nowak, N. A1 - O'Brien, P. T. A1 - Ochoa, I. A1 - Ohira, Y. A1 - Ohishi, M. A1 - Ohka, H. A1 - Okumura, A. A1 - Olivetto, C. A1 - Ong, R. A. A1 - Orito, R. A1 - Orr, M. A1 - Osborne, J. P. A1 - Ostrowski, M. A1 - Otero, L. A1 - Otte, A. N. A1 - Ovcharov, E. A1 - Oya, I. A1 - Ozieblo, A. A1 - Paiano, S. A1 - Pallota, J. A1 - Panazol, J. L. A1 - Paneque, D. A1 - Panter, M. A1 - Paoletti, R. A1 - Papyan, G. A1 - Paredes, J. M. A1 - Pareschi, G. A1 - Parsons, R. D. A1 - Arribas, M. Paz A1 - Pedaletti, G. A1 - Pepato, A. A1 - Persic, M. A1 - Petrucci, P. O. A1 - Peyaud, B. A1 - Piechocki, W. A1 - Pita, S. A1 - Pivato, G. A1 - Platos, L. A1 - Platzer, R. A1 - Pogosyan, L. A1 - Pohl, Martin A1 - Pojmanski, G. A1 - Ponz, J. D. A1 - Potter, W. A1 - Prandini, E. A1 - Preece, R. A1 - Prokoph, H. A1 - Puehlhofer, G. A1 - Punch, M. A1 - Quel, E. A1 - Quirrenbach, A. A1 - Rajda, P. A1 - Rando, R. A1 - Rataj, M. A1 - Raue, M. A1 - Reimann, C. A1 - Reimann, O. A1 - Reimer, A. A1 - Reimer, O. A1 - Renaud, M. A1 - Renner, S. A1 - Reymond, J. -M. A1 - Rhode, W. A1 - Ribo, M. A1 - Ribordy, M. A1 - Rico, J. A1 - Rieger, F. A1 - Ringegni, P. A1 - Ripken, J. A1 - Ristori, P. A1 - Rivoire, S. A1 - Rob, L. A1 - Rodriguez, S. A1 - Roeser, U. A1 - Romano, Patrizia A1 - Romero, G. E. A1 - Rosier-Lees, S. A1 - Rovero, A. C. A1 - Roy, F. A1 - Royer, S. A1 - Rudak, B. A1 - Rulten, C. B. A1 - Ruppel, J. A1 - Russo, F. A1 - Ryde, F. A1 - Sacco, B. A1 - Saggion, A. A1 - Sahakian, V. A1 - Saito, K. A1 - Saito, T. A1 - Sakaki, N. A1 - Salazar, E. A1 - Salini, A. A1 - Sanchez, F. A1 - Sanchez Conde, M. A. A1 - Santangelo, Andrea A1 - Santos, E. M. A1 - Sanuy, A. A1 - Sapozhnikov, L. A1 - Sarkar, S. A1 - Scalzotto, V. A1 - Scapin, V. A1 - Scarcioffolo, M. A1 - Schanz, T. A1 - Schlenstedt, S. A1 - Schlickeiser, R. A1 - Schmidt, T. A1 - Schmoll, J. A1 - Schroedter, M. A1 - Schultz, C. A1 - Schultze, J. A1 - Schulz, A. A1 - Schwanke, U. A1 - Schwarzburg, S. A1 - Schweizer, T. A1 - Seiradakis, J. A1 - Selmane, S. A1 - Seweryn, K. A1 - Shayduk, M. A1 - Shellard, R. C. A1 - Shibata, T. A1 - Sikora, M. A1 - Silk, J. A1 - Sillanpaa, A. A1 - Sitarek, J. A1 - Skole, C. A1 - Smith, N. A1 - Sobczynska, D. A1 - Sofo Haro, M. A1 - Sol, H. A1 - Spanier, F. A1 - Spiga, D. A1 - Spyrou, S. A1 - Stamatescu, V. A1 - Stamerra, A. A1 - Starling, R. L. C. A1 - Stawarz, L. A1 - Steenkamp, R. A1 - Stegmann, Christian A1 - Steiner, S. A1 - Stergioulas, N. A1 - Sternberger, R. A1 - Stinzing, F. A1 - Stodulski, M. A1 - Straumann, U. A1 - Suarez, A. A1 - Suchenek, M. A1 - Sugawara, R. A1 - Sulanke, K. H. A1 - Sun, S. A1 - Supanitsky, A. D. A1 - Sutcliffe, P. A1 - Szanecki, M. A1 - Szepieniec, T. A1 - Szostek, A. A1 - Szymkowiak, A. A1 - Tagliaferri, G. A1 - Tajima, H. A1 - Takahashi, H. A1 - Takahashi, K. A1 - Takalo, L. A1 - Takami, H. A1 - Talbot, R. G. A1 - Tam, P. H. A1 - Tanaka, M. A1 - Tanimori, T. A1 - Tavani, M. A1 - Tavernet, J. -P. A1 - Tchernin, C. A1 - Tejedor, L. A. A1 - Telezhinsky, Igor O. A1 - Temnikov, P. A1 - Tenzer, C. A1 - Terada, Y. A1 - Terrier, R. A1 - Teshima, M. A1 - Testa, V. A1 - Tibaldo, L. A1 - Tibolla, O. A1 - Tluczykont, M. A1 - Peixoto, C. J. Todero A1 - Tokanai, F. A1 - Tokarz, M. A1 - Toma, K. A1 - Torres, D. F. A1 - Tosti, G. A1 - Totani, T. A1 - Toussenel, F. A1 - Vallania, P. A1 - Vallejo, G. A1 - van der Walt, J. A1 - van Eldik, C. A1 - Vandenbroucke, J. A1 - Vankov, H. A1 - Vasileiadis, G. A1 - Vassiliev, V. V. A1 - Vegas, I. A1 - Venter, L. A1 - Vercellone, S. A1 - Veyssiere, C. A1 - Vialle, J. P. A1 - Videla, M. A1 - Vincent, P. A1 - Vink, J. A1 - Vlahakis, N. A1 - Vlahos, L. A1 - Vogler, P. A1 - Vollhardt, A. A1 - Volpe, F. A1 - Von Gunten, H. P. A1 - Vorobiov, S. A1 - Wagner, S. A1 - Wagner, R. M. A1 - Wagner, B. A1 - Wakely, S. P. A1 - Walter, P. A1 - Walter, R. A1 - Warwick, R. A1 - Wawer, P. A1 - Wawrzaszek, R. A1 - Webb, N. A1 - Wegner, P. A1 - Weinstein, A. A1 - Weitzel, Q. A1 - Welsing, R. A1 - Wetteskind, H. A1 - White, R. A1 - Wierzcholska, A. A1 - Wilkinson, M. I. A1 - Williams, D. A. A1 - Winde, M. A1 - Wischnewski, R. A1 - Wisniewski, L. A1 - Wolczko, A. A1 - Wood, M. A1 - Xiong, Q. A1 - Yamamoto, T. A1 - Yamaoka, K. A1 - Yamazaki, R. A1 - Yanagita, S. A1 - Yoffo, B. A1 - Yonetani, M. A1 - Yoshida, A. A1 - Yoshida, T. A1 - Yoshikoshi, T. A1 - Zabalza, V. A1 - Zagdanski, A. A1 - Zajczyk, A. A1 - Zdziarski, A. A1 - Zech, Alraune A1 - Zietara, K. A1 - Ziolkowski, P. A1 - Zitelli, V. A1 - Zychowski, P. T1 - Design concepts for the Cherenkov Telescope Array CTA an advanced facility for ground-based high-energy gamma-ray astronomy JF - Experimental astronomy : an international journal on astronomical instrumentation and data analysis N2 - Ground-based gamma-ray astronomy has had a major breakthrough with the impressive results obtained using systems of imaging atmospheric Cherenkov telescopes. Ground-based gamma-ray astronomy has a huge potential in astrophysics, particle physics and cosmology. CTA is an international initiative to build the next generation instrument, with a factor of 5-10 improvement in sensitivity in the 100 GeV-10 TeV range and the extension to energies well below 100 GeV and above 100 TeV. CTA will consist of two arrays (one in the north, one in the south) for full sky coverage and will be operated as open observatory. The design of CTA is based on currently available technology. This document reports on the status and presents the major design concepts of CTA. KW - Ground based gamma ray astronomy KW - Next generation Cherenkov telescopes KW - Design concepts Y1 - 2011 U6 - https://doi.org/10.1007/s10686-011-9247-0 SN - 0922-6435 SN - 1572-9508 VL - 32 IS - 3 SP - 193 EP - 316 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Schmidt, Lena Katharina A1 - Francke, Till A1 - Grosse, Peter Martin A1 - Mayer, Christoph A1 - Bronstert, Axel T1 - Reconstructing five decades of sediment export from two glacierized high-alpine catchments in Tyrol, Austria, using nonparametric regression JF - Hydrology and earth system sciences : HESS N2 - Knowledge on the response of sediment export to recent climate change in glacierized areas in the European Alps is limited, primarily because long-term records of suspended sediment concentrations (SSCs) are scarce. Here we tested the estimation of sediment export of the past five decades using quantile regression forest (QRF), a nonparametric, multivariate regression based on random forest. The regression builds on short-term records of SSCs and long records of the most important hydroclimatic drivers (discharge, precipitation and air temperature - QPT). We trained independent models for two nested and partially glacier-covered catchments, Vent (98 km(2)) and Vernagt (11.4 km(2)), in the upper otztal in Tyrol, Austria (1891 to 3772 m a.s.l.), where available QPT records start in 1967 and 1975. To assess temporal extrapolation ability, we used two 2-year SSC datasets at gauge Vernagt, which are almost 20 years apart, for a validation. For Vent, we performed a five-fold cross-validation on the 15 years of SSC measurements. Further, we quantified the number of days where predictors exceeded the range represented in the training dataset, as the inability to extrapolate beyond this range is a known limitation of QRF. Finally, we compared QRF performance to sediment rating curves (SRCs). We analyzed the modeled sediment export time series, the predictors and glacier mass balance data for trends (Mann-Kendall test and Sen's slope estimator) and step-like changes (using the widely applied Pettitt test and a complementary Bayesian approach).Our validation at gauge Vernagt demonstrated that QRF performs well in estimating past daily sediment export (Nash-Sutcliffe efficiency (NSE) of 0.73) and satisfactorily for SSCs (NSE of 0.51), despite the small training dataset. The temporal extrapolation ability of QRF was superior to SRCs, especially in periods with high-SSC events, which demonstrated the ability of QRF to model threshold effects. Days with high SSCs tended to be underestimated, but the effect on annual yields was small. Days with predictor exceedances were rare, indicating a good representativity of the training dataset. Finally, the QRF reconstruction models outperformed SRCs by about 20 percent points of the explained variance.Significant positive trends in the reconstructed annual suspended sediment yields were found at both gauges, with distinct step-like increases around 1981. This was linked to increased glacier melt, which became apparent through step-like increases in discharge at both gauges as well as change points in mass balances of the two largest glaciers in the Vent catchment. We identified exceptionally high July temperatures in 1982 and 1983 as a likely cause. In contrast, we did not find coinciding change points in precipitation. Opposing trends at the two gauges after 1981 suggest different timings of "peak sediment". We conclude that, given large-enough training datasets, the presented QRF approach is a promising tool with the ability to deepen our understanding of the response of high-alpine areas to decadal climate change. Y1 - 2023 U6 - https://doi.org/10.5194/hess-27-1841-2023 SN - 1027-5606 SN - 1607-7938 VL - 27 IS - 9 SP - 1841 EP - 1863 PB - Copernicus CY - Göttingen ER - TY - JOUR A1 - McKenna, Russell A1 - Pfenninger, Stefan A1 - Heinrichs, Heidi A1 - Schmidt, Johannes A1 - Staffell, Iain A1 - Bauer, Christian A1 - Gruber, Katharina A1 - Hahmann, Andrea N. A1 - Jansen, Malte A1 - Klingler, Michael A1 - Landwehr, Natascha A1 - Larsén, Xiaoli Guo A1 - Lilliestam, Johan A1 - Pickering, Bryn A1 - Robinius, Martin A1 - Tröndle, Tim A1 - Turkovska, Olga A1 - Wehrle, Sebastian A1 - Weinand, Jann Michael A1 - Wohland, Jan T1 - High-resolution large-scale onshore wind energy assessments BT - a review of potential definitions, methodologies and future research needs JF - Renewable energy N2 - The rapid uptake of renewable energy technologies in recent decades has increased the demand of energy researchers, policymakers and energy planners for reliable data on the spatial distribution of their costs and potentials. For onshore wind energy this has resulted in an active research field devoted to analysing these resources for regions, countries or globally. A particular thread of this research attempts to go beyond purely technical or spatial restrictions and determine the realistic, feasible or actual potential for wind energy. Motivated by these developments, this paper reviews methods and assumptions for analysing geographical, technical, economic and, finally, feasible onshore wind potentials. We address each of these potentials in turn, including aspects related to land eligibility criteria, energy meteorology, and technical developments of wind turbine characteristics such as power density, specific rotor power and spacing aspects. Economic aspects of potential assessments are central to future deployment and are discussed on a turbine and system level covering levelized costs depending on locations, and the system integration costs which are often overlooked in such analyses. Non-technical approaches include scenicness assessments of the landscape, constraints due to regulation or public opposition, expert and stakeholder workshops, willingness to pay/accept elicitations and socioeconomic cost-benefit studies. For each of these different potential estimations, the state of the art is critically discussed, with an attempt to derive best practice recommendations and highlight avenues for future research. KW - onshore wind KW - resource assessments KW - social acceptance KW - planning constraints KW - research priorities Y1 - 2022 U6 - https://doi.org/10.1016/j.renene.2021.10.027 SN - 0960-1481 VL - 182 SP - 659 EP - 684 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Schrön, Martin A1 - Köhli, Markus A1 - Scheiffele, Lena A1 - Iwema, Joost A1 - Bogena, Heye R. A1 - Lv, Ling A1 - Martini, Edoardo A1 - Baroni, Gabriele A1 - Rosolem, Rafael A1 - Weimar, Jannis A1 - Mai, Juliane A1 - Cuntz, Matthias A1 - Rebmann, Corinna A1 - Oswald, Sascha A1 - Dietrich, Peter A1 - Schmidt, Ulrich A1 - Zacharias, Steffen T1 - Improving calibration and validation of cosmic-ray neutron sensors in the light of spatial sensitivity T2 - Postprints der Universität Potsdam : Mathematisch Naturwissenschaftliche Reihe N2 - In the last few years the method of cosmic-ray neutron sensing (CRNS) has gained popularity among hydrologists, physicists, and land-surface modelers. The sensor provides continuous soil moisture data, averaged over several hectares and tens of decimeters in depth. However, the signal still may contain unidentified features of hydrological processes, and many calibration datasets are often required in order to find reliable relations between neutron intensity and water dynamics. Recent insights into environmental neutrons accurately described the spatial sensitivity of the sensor and thus allowed one to quantify the contribution of individual sample locations to the CRNS signal. Consequently, data points of calibration and validation datasets are suggested to be averaged using a more physically based weighting approach. In this work, a revised sensitivity function is used to calculate weighted averages of point data. The function is different from the simple exponential convention by the extraordinary sensitivity to the first few meters around the probe, and by dependencies on air pressure, air humidity, soil moisture, and vegetation. The approach is extensively tested at six distinct monitoring sites: two sites with multiple calibration datasets and four sites with continuous time series datasets. In all cases, the revised averaging method improved the performance of the CRNS products. The revised approach further helped to reveal hidden hydrological processes which otherwise remained unexplained in the data or were lost in the process of overcalibration. The presented weighting approach increases the overall accuracy of CRNS products and will have an impact on all their applications in agriculture, hydrology, and modeling. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 636 KW - forested headwater catchment KW - moisture observing system KW - soil-water content KW - parameterization methods KW - scale KW - field KW - dynamics KW - observatories KW - networks Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-419134 IS - 636 SP - 5009 EP - 5030 ER - TY - JOUR A1 - Schulte, Luise A1 - Meucci, Stefano A1 - Stoof-Leichsenring, Kathleen R. A1 - Heitkam, Tony A1 - Schmidt, Nicola A1 - von Hippel, Barbara A1 - Andreev, Andrei A. A1 - Diekmann, Bernhard A1 - Biskaborn, Boris A1 - Wagner, Bernd A1 - Melles, Martin A1 - Pestryakova, Lyudmila A. A1 - Alsos, Inger G. A1 - Clarke, Charlotte A1 - Krutovsky, Konstantin A1 - Herzschuh, Ulrike T1 - Larix species range dynamics in Siberia since the Last Glacial captured from sedimentary ancient DNA JF - Communications biology N2 - Climate change is expected to cause major shifts in boreal forests which are in vast areas of Siberia dominated by two species of the deciduous needle tree larch (Larix). The species differ markedly in their ecosystem functions, thus shifts in their respective ranges are of global relevance. However, drivers of species distribution are not well understood, in part because paleoecological data at species level are lacking. This study tracks Larix species distribution in time and space using target enrichment on sedimentary ancient DNA extracts from eight lakes across Siberia. We discovered that Larix sibirica, presently dominating in western Siberia, likely migrated to its northern distribution area only in the Holocene at around 10,000 years before present (ka BP), and had a much wider eastern distribution around 33 ka BP. Samples dated to the Last Glacial Maximum (around 21 ka BP), consistently show genotypes of L. gmelinii. Our results suggest climate as a strong determinant of species distribution in Larix and provide temporal and spatial data for species projection in a changing climate. Using ancient sedimentary DNA from up to 50 kya, dramatic distributional shifts are documented in two dominant boreal larch species, likely guided by environmental changes suggesting climate as a strong determinant of species distribution. Y1 - 2022 U6 - https://doi.org/10.1038/s42003-022-03455-0 SN - 2399-3642 VL - 5 IS - 1 PB - Springer Nature CY - London ER -