TY - JOUR A1 - Abdalla, Hassan E. A1 - Aharonian, Felix A. A1 - Benkhali, F. Ait A1 - Angüner, Ekrem Oǧuzhan A1 - Arakawa, M. A1 - Arcaro, C. A1 - Armand, C. A1 - Arrieta, M. A1 - Backes, M. A1 - Barnard, M. A1 - Becherini, Y. A1 - Tjus, J. Becker A1 - Berge, D. A1 - Bernhard, S. A1 - Bernlohr, K. A1 - Blackwell, R. A1 - Bottcher, M. A1 - Boisson, C. A1 - Bolmont, J. A1 - Bonnefoy, S. A1 - Bordas, Pol A1 - Bregeon, J. A1 - Brun, F. A1 - Brun, P. A1 - Bryan, M. A1 - Buechele, M. A1 - Bulik, T. A1 - Bylund, T. A1 - Capasso, M. A1 - Caroff, S. A1 - Carosi, A. A1 - Casanova, Sabrina A1 - Cerruti, M. A1 - Chakraborty, N. A1 - Chandra, S. A1 - Chen, A. A1 - Colafrancesco, S. A1 - Condon, B. A1 - Davids, I. D. A1 - Deil, C. A1 - Devin, J. A1 - deWilt, P. A1 - Dirson, L. A1 - Djannati-Atai, A. A1 - Dmytriiev, A. A1 - Donath, A. A1 - Doroshenko, V A1 - Dyks, J. A1 - Egberts, Kathrin A1 - Emery, G. A1 - Ernenwein, J-P A1 - Eschbach, S. A1 - Fegan, S. A1 - Fiasson, A. A1 - Fontaine, G. A1 - Funk, S. A1 - Fuessling, M. A1 - Gabici, S. A1 - Gallant, Y. A. A1 - Gate, F. A1 - Giavitto, G. A1 - Glawion, D. A1 - Glicenstein, J. F. A1 - Gottschall, D. A1 - Grondin, M-H A1 - Hahn, J. A1 - Haupt, M. A1 - Heinzelmann, G. A1 - Henri, G. A1 - Hermann, G. A1 - Hinton, J. A. A1 - Hofmann, W. A1 - Hoischen, Clemens A1 - Holch, T. L. A1 - Holler, M. A1 - Horns, D. A1 - Huber, D. A1 - Iwasaki, H. A1 - Jacholkowska, A. A1 - Jamrozy, M. A1 - Jankowsky, D. A1 - Jankowsky, F. A1 - Jouvin, L. A1 - Jung-Richardt, I A1 - Kastendieck, M. A. A1 - Katarzynski, K. A1 - Katsuragawa, M. A1 - Katz, U. A1 - Kerszberg, D. A1 - Khangulyan, D. A1 - Khelifi, B. A1 - King, J. A1 - Klepser, S. A1 - Kluzniak, W. A1 - Komin, Nu A1 - Kosack, K. A1 - Krakau, S. A1 - Kraus, M. A1 - Krüger, P. P. A1 - Lamanna, G. A1 - Lau, J. A1 - Lefaucheur, J. A1 - Lemiere, A. A1 - Lemoine-Goumard, M. A1 - Lenain, J-P A1 - Leser, Eva A1 - Lohse, T. A1 - Lorentz, M. A1 - Lopez-Coto, R. A1 - Lypova, I A1 - Malyshev, D. A1 - Marandon, V A1 - Marcowith, Alexandre A1 - Mariaud, C. A1 - Marti-Devesa, G. A1 - Marx, R. A1 - Maurin, G. A1 - Meintjes, P. J. A1 - Mitchell, A. M. W. A1 - Moderski, R. A1 - Mohamed, M. A1 - Mohrmann, L. A1 - Moulin, Emmanuel A1 - Murach, T. A1 - Nakashima, S. A1 - de Naurois, M. A1 - Ndiyavala, H. A1 - Niederwanger, F. A1 - Niemiec, J. A1 - Oakes, L. A1 - Odaka, H. A1 - Ohm, S. A1 - Ostrowski, M. A1 - Oya, I A1 - Padovani, M. A1 - Panter, M. A1 - Parsons, R. D. A1 - Perennes, C. A1 - Petrucci, P-O A1 - Peyaud, B. A1 - Piel, Q. A1 - Pita, S. A1 - Poireau, V A1 - Noel, A. Priyana A1 - Prokhorov, D. A. A1 - Prokoph, H. A1 - Puehlhofer, G. A1 - Punch, M. A1 - Quirrenbach, A. A1 - Raab, S. A1 - Rauth, R. A1 - Reimer, A. A1 - Reimer, O. A1 - Renaud, M. A1 - Rieger, F. A1 - Rinchiuso, L. A1 - Romoli, C. A1 - Rowell, G. A1 - Rudak, B. A1 - Ruiz-Velasco, E. A1 - Sahakian, V A1 - Saito, S. A1 - Sanchez, D. A. A1 - Santangelo, Andrea A1 - Sasaki, M. A1 - Schlickeiser, R. A1 - Schussler, F. A1 - Schulz, A. A1 - Schwanke, U. A1 - Schwemmer, S. A1 - Seglar-Arroyo, M. A1 - Senniappan, M. A1 - Seyffert, A. S. A1 - Shafi, N. A1 - Shilon, I A1 - Shiningayamwe, K. A1 - Simoni, R. A1 - Sinha, A. A1 - Sol, H. A1 - Spanier, F. A1 - Specovius, A. A1 - Spir-Jacob, M. A1 - Stawarz, L. A1 - Steenkamp, R. A1 - Stegmann, Christian A1 - Steppa, Constantin Beverly A1 - Takahashi, T. A1 - Tavernet, J-P A1 - Tavernier, T. A1 - Taylor, A. M. A1 - Terrier, R. A1 - Tibaldo, L. A1 - Tiziani, D. A1 - Tluczykont, M. A1 - Trichard, C. A1 - Tsirou, M. A1 - Tsuji, N. A1 - Tuffs, R. A1 - Uchiyama, Y. A1 - van der Walt, D. J. A1 - van Eldik, C. A1 - van Rensburg, C. A1 - van Soelen, B. A1 - Vasileiadis, G. A1 - Veh, J. A1 - Venter, C. A1 - Vincent, P. A1 - Vink, J. A1 - Voisin, F. A1 - Voelk, H. J. A1 - Vuillaume, T. A1 - Wadiasingh, Z. A1 - Wagner, S. J. A1 - Wagner, R. M. A1 - White, R. A1 - Wierzcholska, A. A1 - Yang, R. A1 - Zaborov, D. A1 - Zacharias, M. A1 - Zanin, R. A1 - Zdziarski, A. A. A1 - Zech, Alraune A1 - Zefi, F. A1 - Ziegler, A. A1 - Zorn, J. A1 - Zywucka, N. A1 - Kerr, M. A1 - Johnston, S. A1 - Shannon, R. M. T1 - First ground-based measurement of sub-20 GeV to 100 GeV gamma-Rays from the Vela pulsar with HESS II JF - Astronomy and astrophysics : an international weekly journal N2 - Aims. We report on the measurement and investigation of pulsed high-energy y-ray emission from the Vela pulsar, PSR B0833-45, based on observations with the largest telescope of H.E.S.S., CT5, in monoscopic mode, and on data obtained with the Fermi-LAT. Methods. Data from 40.3 h of observations carried out with the H.E.S.S. II array from 2013 to 2015 have been used. A dedicated very low-threshold event reconstruction and analysis pipeline was developed to achieve the lowest possible energy threshold. Eight years of Fermi-LAT data were analysed and also used as reference to validate the CT5 telescope response model and analysis methods. Results. A pulsed gamma-ray signal at a significance level of more than 15 sigma is detected from the P2 peak of the Vela pulsar light curve. Of a total of 15 835 events, more than 6000 lie at an energy below 20 GeV, implying a significant overlap between H.E.S.S. II-CT5 and the Fermi-LAT. While the investigation of the pulsar light curve with the LAT confirms characteristics previously known up to 20 GeV in the tens of GeV energy range, CT5 data show a change in the pulse morphology of P2, i.e. an extreme sharpening of its trailing edge, together with the possible onset of a new component at 3.4 sigma significance level. Assuming a power-law model for the P2 spectrum, an excellent agreement is found for the photon indices (Gamma similar or equal to 4.1) obtained with the two telescopes above 10 GeV and an upper bound of 8% is derived on the relative offset between their energy scales. Using data from both instruments, it is shown however that the spectrum of P2 in the 10-100 GeV has a pronounced curvature; this is a confirmation of the sub-exponential cut-off form found at lower energies with the LAT. This is further supported by weak evidence of an emission above 100 GeV obtained with CT5. In contrast, converging indications are found from both CT5 and LAT data for the emergence of a hard component above 50 GeV in the leading wing (LW2) of P2, which possibly extends beyond 100 GeV. Conclusions. The detection demonstrates the performance and understanding of CT5 from 100 GeV down to the sub-20 GeV domain, i.e. unprecedented low energy for ground-based gamma-ray astronomy. The extreme sharpening of the trailing edge of the P2 peak found in the H.E.S.S. II light curve of the Vela pulsar and the possible extension beyond 100 GeV of at least one of its features, LW2, provide further constraints to models of gamma-Ray emission from pulsars. KW - gamma rays: stars KW - pulsars: individual: PSR B0833-45 KW - radiation mechanisms: non-thermal Y1 - 2018 U6 - https://doi.org/10.1051/0004-6361/201732153 SN - 1432-0746 VL - 620 PB - EDP Sciences CY - Les Ulis ER - TY - JOUR A1 - Aarts, Alexander A. A1 - Anderson, Joanna E. A1 - Anderson, Christopher J. A1 - Attridge, Peter R. A1 - Attwood, Angela A1 - Axt, Jordan A1 - Babel, Molly A1 - Bahnik, Stepan A1 - Baranski, Erica A1 - Barnett-Cowan, Michael A1 - Bartmess, Elizabeth A1 - Beer, Jennifer A1 - Bell, Raoul A1 - Bentley, Heather A1 - Beyan, Leah A1 - Binion, Grace A1 - Borsboom, Denny A1 - Bosch, Annick A1 - Bosco, Frank A. A1 - Bowman, Sara D. A1 - Brandt, Mark J. A1 - Braswell, Erin A1 - Brohmer, Hilmar A1 - Brown, Benjamin T. A1 - Brown, Kristina A1 - Bruening, Jovita A1 - Calhoun-Sauls, Ann A1 - Callahan, Shannon P. A1 - Chagnon, Elizabeth A1 - Chandler, Jesse A1 - Chartier, Christopher R. A1 - Cheung, Felix A1 - Christopherson, Cody D. A1 - Cillessen, Linda A1 - Clay, Russ A1 - Cleary, Hayley A1 - Cloud, Mark D. A1 - Cohn, Michael A1 - Cohoon, Johanna A1 - Columbus, Simon A1 - Cordes, Andreas A1 - Costantini, Giulio A1 - Alvarez, Leslie D. Cramblet A1 - Cremata, Ed A1 - Crusius, Jan A1 - DeCoster, Jamie A1 - DeGaetano, Michelle A. A1 - Della Penna, Nicolas A1 - den Bezemer, Bobby A1 - Deserno, Marie K. A1 - Devitt, Olivia A1 - Dewitte, Laura A1 - Dobolyi, David G. A1 - Dodson, Geneva T. A1 - Donnellan, M. Brent A1 - Donohue, Ryan A1 - Dore, Rebecca A. A1 - Dorrough, Angela A1 - Dreber, Anna A1 - Dugas, Michelle A1 - Dunn, Elizabeth W. A1 - Easey, Kayleigh A1 - Eboigbe, Sylvia A1 - Eggleston, Casey A1 - Embley, Jo A1 - Epskamp, Sacha A1 - Errington, Timothy M. A1 - Estel, Vivien A1 - Farach, Frank J. A1 - Feather, Jenelle A1 - Fedor, Anna A1 - Fernandez-Castilla, Belen A1 - Fiedler, Susann A1 - Field, James G. A1 - Fitneva, Stanka A. A1 - Flagan, Taru A1 - Forest, Amanda L. A1 - Forsell, Eskil A1 - Foster, Joshua D. A1 - Frank, Michael C. A1 - Frazier, Rebecca S. A1 - Fuchs, Heather A1 - Gable, Philip A1 - Galak, Jeff A1 - Galliani, Elisa Maria A1 - Gampa, Anup A1 - Garcia, Sara A1 - Gazarian, Douglas A1 - Gilbert, Elizabeth A1 - Giner-Sorolla, Roger A1 - Glöckner, Andreas A1 - Göllner, Lars A1 - Goh, Jin X. A1 - Goldberg, Rebecca A1 - Goodbourn, Patrick T. A1 - Gordon-McKeon, Shauna A1 - Gorges, Bryan A1 - Gorges, Jessie A1 - Goss, Justin A1 - Graham, Jesse A1 - Grange, James A. A1 - Gray, Jeremy A1 - Hartgerink, Chris A1 - Hartshorne, Joshua A1 - Hasselman, Fred A1 - Hayes, Timothy A1 - Heikensten, Emma A1 - Henninger, Felix A1 - Hodsoll, John A1 - Holubar, Taylor A1 - Hoogendoorn, Gea A1 - Humphries, Denise J. A1 - Hung, Cathy O. -Y. A1 - Immelman, Nathali A1 - Irsik, Vanessa C. A1 - Jahn, Georg A1 - Jaekel, Frank A1 - Jekel, Marc A1 - Johannesson, Magnus A1 - Johnson, Larissa G. A1 - Johnson, David J. A1 - Johnson, Kate M. A1 - Johnston, William J. A1 - Jonas, Kai A1 - Joy-Gaba, Jennifer A. A1 - Kappes, Heather Barry A1 - Kelso, Kim A1 - Kidwell, Mallory C. A1 - Kim, Seung Kyung A1 - Kirkhart, Matthew A1 - Kleinberg, Bennett A1 - Knezevic, Goran A1 - Kolorz, Franziska Maria A1 - Kossakowski, Jolanda J. A1 - Krause, Robert Wilhelm A1 - Krijnen, Job A1 - Kuhlmann, Tim A1 - Kunkels, Yoram K. A1 - Kyc, Megan M. A1 - Lai, Calvin K. A1 - Laique, Aamir A1 - Lakens, Daniel A1 - Lane, Kristin A. A1 - Lassetter, Bethany A1 - Lazarevic, Ljiljana B. A1 - LeBel, Etienne P. A1 - Lee, Key Jung A1 - Lee, Minha A1 - Lemm, Kristi A1 - Levitan, Carmel A. A1 - Lewis, Melissa A1 - Lin, Lin A1 - Lin, Stephanie A1 - Lippold, Matthias A1 - Loureiro, Darren A1 - Luteijn, Ilse A1 - Mackinnon, Sean A1 - Mainard, Heather N. A1 - Marigold, Denise C. A1 - Martin, Daniel P. A1 - Martinez, Tylar A1 - Masicampo, E. J. A1 - Matacotta, Josh A1 - Mathur, Maya A1 - May, Michael A1 - Mechin, Nicole A1 - Mehta, Pranjal A1 - Meixner, Johannes A1 - Melinger, Alissa A1 - Miller, Jeremy K. A1 - Miller, Mallorie A1 - Moore, Katherine A1 - Möschl, Marcus A1 - Motyl, Matt A1 - Müller, Stephanie M. A1 - Munafo, Marcus A1 - Neijenhuijs, Koen I. A1 - Nervi, Taylor A1 - Nicolas, Gandalf A1 - Nilsonne, Gustav A1 - Nosek, Brian A. A1 - Nuijten, Michele B. A1 - Olsson, Catherine A1 - Osborne, Colleen A1 - Ostkamp, Lutz A1 - Pavel, Misha A1 - Penton-Voak, Ian S. A1 - Perna, Olivia A1 - Pernet, Cyril A1 - Perugini, Marco A1 - Pipitone, R. Nathan A1 - Pitts, Michael A1 - Plessow, Franziska A1 - Prenoveau, Jason M. A1 - Rahal, Rima-Maria A1 - Ratliff, Kate A. A1 - Reinhard, David A1 - Renkewitz, Frank A1 - Ricker, Ashley A. A1 - Rigney, Anastasia A1 - Rivers, Andrew M. A1 - Roebke, Mark A1 - Rutchick, Abraham M. A1 - Ryan, Robert S. A1 - Sahin, Onur A1 - Saide, Anondah A1 - Sandstrom, Gillian M. A1 - Santos, David A1 - Saxe, Rebecca A1 - Schlegelmilch, Rene A1 - Schmidt, Kathleen A1 - Scholz, Sabine A1 - Seibel, Larissa A1 - Selterman, Dylan Faulkner A1 - Shaki, Samuel A1 - Simpson, William B. A1 - Sinclair, H. Colleen A1 - Skorinko, Jeanine L. M. A1 - Slowik, Agnieszka A1 - Snyder, Joel S. A1 - Soderberg, Courtney A1 - Sonnleitner, Carina A1 - Spencer, Nick A1 - Spies, Jeffrey R. A1 - Steegen, Sara A1 - Stieger, Stefan A1 - Strohminger, Nina A1 - Sullivan, Gavin B. A1 - Talhelm, Thomas A1 - Tapia, Megan A1 - te Dorsthorst, Anniek A1 - Thomae, Manuela A1 - Thomas, Sarah L. A1 - Tio, Pia A1 - Traets, Frits A1 - Tsang, Steve A1 - Tuerlinckx, Francis A1 - Turchan, Paul A1 - Valasek, Milan A1 - Van Aert, Robbie A1 - van Assen, Marcel A1 - van Bork, Riet A1 - van de Ven, Mathijs A1 - van den Bergh, Don A1 - van der Hulst, Marije A1 - van Dooren, Roel A1 - van Doorn, Johnny A1 - van Renswoude, Daan R. A1 - van Rijn, Hedderik A1 - Vanpaemel, Wolf A1 - Echeverria, Alejandro Vasquez A1 - Vazquez, Melissa A1 - Velez, Natalia A1 - Vermue, Marieke A1 - Verschoor, Mark A1 - Vianello, Michelangelo A1 - Voracek, Martin A1 - Vuu, Gina A1 - Wagenmakers, Eric-Jan A1 - Weerdmeester, Joanneke A1 - Welsh, Ashlee A1 - Westgate, Erin C. A1 - Wissink, Joeri A1 - Wood, Michael A1 - Woods, Andy A1 - Wright, Emily A1 - Wu, Sining A1 - Zeelenberg, Marcel A1 - Zuni, Kellylynn T1 - Estimating the reproducibility of psychological science JF - Science N2 - Reproducibility is a defining feature of science, but the extent to which it characterizes current research is unknown. We conducted replications of 100 experimental and correlational studies published in three psychology journals using high-powered designs and original materials when available. Replication effects were half the magnitude of original effects, representing a substantial decline. Ninety-seven percent of original studies had statistically significant results. Thirty-six percent of replications had statistically significant results; 47% of original effect sizes were in the 95% confidence interval of the replication effect size; 39% of effects were subjectively rated to have replicated the original result; and if no bias in original results is assumed, combining original and replication results left 68% with statistically significant effects. Correlational tests suggest that replication success was better predicted by the strength of original evidence than by characteristics of the original and replication teams. Y1 - 2015 U6 - https://doi.org/10.1126/science.aac4716 SN - 1095-9203 SN - 0036-8075 VL - 349 IS - 6251 PB - American Assoc. for the Advancement of Science CY - Washington ER - TY - JOUR A1 - Sibly, Richard M. A1 - Grimm, Volker A1 - Martin, Benjamin T. A1 - Johnston, Alice S. A. A1 - Kulakowska, Katarzyna A1 - Topping, Christopher J. A1 - Calow, Peter A1 - Nabe-Nielsen, Jacob A1 - Thorbek, Pernille A1 - DeAngelis, Donald L. T1 - Representing the acquisition and use of energy by individuals in agent-based models of animal populations JF - Methods in ecology and evolution : an official journal of the British Ecological Society N2 - Agent-based models (ABMs) are widely used to predict how populations respond to changing environments. As the availability of food varies in space and time, individuals should have their own energy budgets, but there is no consensus as to how these should be modelled. Here, we use knowledge of physiological ecology to identify major issues confronting the modeller and to make recommendations about how energy budgets for use in ABMs should be constructed. Our proposal is that modelled animals forage as necessary to supply their energy needs for maintenance, growth and reproduction. If there is sufficient energy intake, an animal allocates the energy obtained in the order: maintenance, growth, reproduction, energy storage, until its energy stores reach an optimal level. If there is a shortfall, the priorities for maintenance and growth/reproduction remain the same until reserves fall to a critical threshold below which all are allocated to maintenance. Rates of ingestion and allocation depend on body mass and temperature. We make suggestions for how each of these processes should be modelled mathematically. Mortality rates vary with body mass and temperature according to known relationships, and these can be used to obtain estimates of background mortality rate. If parameter values cannot be obtained directly, then values may provisionally be obtained by parameter borrowing, pattern-oriented modelling, artificial evolution or from allometric equations. The development of ABMs incorporating individual energy budgets is essential for realistic modelling of populations affected by food availability. Such ABMs are already being used to guide conservation planning of nature reserves and shell fisheries, to assess environmental impacts of building proposals including wind farms and highways and to assess the effects on nontarget organisms of chemicals for the control of agricultural pests. KW - bioenergetics KW - energy budget KW - individual-based models KW - population dynamics Y1 - 2013 U6 - https://doi.org/10.1111/2041-210x.12002 SN - 2041-210X VL - 4 IS - 2 SP - 151 EP - 161 PB - Wiley-Blackwell CY - Hoboken ER - TY - JOUR A1 - Grimm, Volker A1 - Augusiak, Jacqueline A1 - Focks, Andreas A1 - Frank, Beatrice M. A1 - Gabsi, Faten A1 - Johnston, Alice S. A. A1 - Liu, Chun A1 - Martin, Benjamin T. A1 - Meli, Mattia A1 - Radchuk, Viktoriia A1 - Thorbek, Pernille A1 - Railsback, Steven Floyd T1 - Towards better modelling and decision support: Documenting model development, testing, and analysis using TRACE JF - Ecological modelling : international journal on ecological modelling and engineering and systems ecolog N2 - The potential of ecological models for supporting environmental decision making is increasingly acknowledged. However, it often remains unclear whether a model is realistic and reliable enough. Good practice for developing and testing ecological models has not yet been established. Therefore, TRACE, a general framework for documenting a model's rationale, design, and testing was recently suggested. Originally TRACE was aimed at documenting good modelling practice. However, the word 'documentation' does not convey TRACE's urgency. Therefore, we re-define TRACE as a tool for planning, performing, and documenting good modelling practice. TRACE documents should provide convincing evidence that a model was thoughtfully designed, correctly implemented, thoroughly tested, well understood, and appropriately used for its intended purpose. TRACE documents link the science underlying a model to its application, thereby also linking modellers and model users, for example stakeholders, decision makers, and developers of policies. We report on first experiences in producing TRACE documents. We found that the original idea underlying TRACE was valid, but to make its use more coherent and efficient, an update of its structure and more specific guidance for its use are needed. The updated TRACE format follows the recently developed framework of model 'evaludation': the entire process of establishing model quality and credibility throughout all stages of model development, analysis, and application. TRACE thus becomes a tool for planning, documenting, and assessing model evaludation, which includes understanding the rationale behind a model and its envisaged use. We introduce the new structure and revised terminology of TRACE and provide examples. (C) 2014 Elsevier B.V. All rights reserved. KW - Standardization KW - Good modelling practice KW - Risk assessment KW - Decision support Y1 - 2014 U6 - https://doi.org/10.1016/j.ecolmodel.2014.01.018 SN - 0304-3800 SN - 1872-7026 VL - 280 SP - 129 EP - 139 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Comas-Bru, Laia A1 - Harrison, Sandy P. A1 - Werner, Martin A1 - Rehfeld, Kira A1 - Scroxton, Nick A1 - Veiga-Pires, Cristina A1 - Ahmad, Syed Masood A1 - Brahim, Yassine Ait A1 - Mozhdehi, Sahar Amirnezhad A1 - Arienzo, Monica A1 - Atsawawaranunt, Kamolphat A1 - Baker, Andy A1 - Braun, Kerstin A1 - Breitenbach, Sebastian Franz Martin A1 - Burstyn, Yuval A1 - Chawchai, Sakonvan A1 - Columbu, Andrea A1 - Deininger, Michael A1 - Demeny, Attila A1 - Dixon, Bronwyn A1 - Hatvani, Istvan Gabor A1 - Hu, Jun A1 - Kaushal, Nikita A1 - Kern, Zoltan A1 - Labuhn, Inga A1 - Lachniet, Matthew S. A1 - Lechleitner, Franziska A. A1 - Lorrey, Andrew A1 - Markowska, Monika A1 - Nehme, Carole A1 - Novello, Valdir F. A1 - Oster, Jessica A1 - Perez-Mejias, Carlos A1 - Pickering, Robyn A1 - Sekhon, Natasha A1 - Wang, Xianfeng A1 - Warken, Sophie A1 - Atkinson, Tim A1 - Ayalon, Avner A1 - Baldini, James A1 - Bar-Matthews, Miryam A1 - Bernal, Juan Pablo A1 - Boch, Ronny A1 - Borsato, Andrea A1 - Boyd, Meighan A1 - Brierley, Chris A1 - Cai, Yanjun A1 - Carolin, Stacy A1 - Cheng, Hai A1 - Constantin, Silviu A1 - Couchoud, Isabelle A1 - Cruz, Francisco A1 - Denniston, Rhawn A1 - Dragusin, Virgil A1 - Duan, Wuhui A1 - Ersek, Vasile A1 - Finne, Martin A1 - Fleitmann, Dominik A1 - Fohlmeister, Jens Bernd A1 - Frappier, Amy A1 - Genty, Dominique A1 - Holzkamper, Steffen A1 - Hopley, Philip A1 - Johnston, Vanessa A1 - Kathayat, Gayatri A1 - Keenan-Jones, Duncan A1 - Koltai, Gabriella A1 - Li, Ting-Yong A1 - Lone, Mahjoor Ahmad A1 - Luetscher, Marc A1 - Mattey, Dave A1 - Moreno, Ana A1 - Moseley, Gina A1 - Psomiadis, David A1 - Ruan, Jiaoyang A1 - Scholz, Denis A1 - Sha, Lijuan A1 - Smith, Andrew Christopher A1 - Strikis, Nicolas A1 - Treble, Pauline A1 - Unal-Imer, Ezgi A1 - Vaks, Anton A1 - Vansteenberge, Stef A1 - Voarintsoa, Ny Riavo G. A1 - Wong, Corinne A1 - Wortham, Barbara A1 - Wurtzel, Jennifer A1 - Zhang, Haiwei T1 - Evaluating model outputs using integrated global speleothem records of climate change since the last glacial JF - Climate of the past : an interactive open access journal of the European Geosciences Union N2 - Although quantitative isotope data from speleothems has been used to evaluate isotope-enabled model simulations, currently no consensus exists regarding the most appropriate methodology through which to achieve this. A number of modelling groups will be running isotope-enabled palaeoclimate simulations in the framework of the Coupled Model Intercomparison Project Phase 6, so it is timely to evaluate different approaches to using the speleothem data for data–model comparisons. Here, we illustrate this using 456 globally distributed speleothem δ18O records from an updated version of the Speleothem Isotopes Synthesis and Analysis (SISAL) database and palaeoclimate simulations generated using the ECHAM5-wiso isotope-enabled atmospheric circulation model. We show that the SISAL records reproduce the first-order spatial patterns of isotopic variability in the modern day, strongly supporting the application of this dataset for evaluating model-derived isotope variability into the past. However, the discontinuous nature of many speleothem records complicates the process of procuring large numbers of records if data–model comparisons are made using the traditional approach of comparing anomalies between a control period and a given palaeoclimate experiment. To circumvent this issue, we illustrate techniques through which the absolute isotope values during any time period could be used for model evaluation. Specifically, we show that speleothem isotope records allow an assessment of a model's ability to simulate spatial isotopic trends. Our analyses provide a protocol for using speleothem isotope data for model evaluation, including screening the observations to take into account the impact of speleothem mineralogy on δ18O values, the optimum period for the modern observational baseline and the selection of an appropriate time window for creating means of the isotope data for palaeo-time-slices. Y1 - 2019 U6 - https://doi.org/10.5194/cp-15-1557-2019 SN - 1814-9324 SN - 1814-9332 VL - 15 IS - 4 SP - 1557 EP - 1579 PB - Copernicus CY - Göttingen ER -