@misc{WebberCookeWangetal., author = {Webber, H. and Cooke, D. and Wang, C. and Asseng, S. and Martre, P. and Ewert, F. and Kimball, B. and Hoogenboom, G. and Evett, S. and Chanzy, A. and Garrigues, S. and Olioso, A. and Copeland, K.S. and Steiner, J.L. and Cammarano, D. and Chen, Y. and Cr{\´e}peau, M. and Diamantopoulos, E. and Ferrise, R. and Manceau, L. and Gaiser, T. and Gao, Y. and Gayler, S. and Guarin, J.R. and Hunt, T. and J{\´e}go, G. and Padovan, G. and Pattey, E. and Ripoche, D. and Rodr{\´i}guez, A. and Ruiz-Ramos, M. and Shelia, V. and Srivastava, A.K. and Supit, I. and Tao, F. and Thorp, K. and Viswanathan, M. and Weber, T. and White, J.}, title = {Wheat crop models underestimate drought stress in semi-arid and Mediterranean environments}, series = {Field crops research}, volume = {332}, journal = {Field crops research}, publisher = {Elsevier BV}, address = {Amsterdam}, issn = {0378-4290}, doi = {10.1016/j.fcr.2025.110032}, pages = {1 -- 18}, abstract = {Under climate change and increasingly extreme weather, projections of water demand and drought stress from process-based crop models can inform risk management and adaptation strategies. Previous studies investigating maize crop models demonstrated considerable error in the simulation of water use, and no similar evaluation of wheat crop models exists. The aims of this study were to (1) evaluate wheat crop models' performance in reproducing observed daily evapotranspiration (ET) for Mediterranean and semi-arid environments, and (2) identify factors and processes associated with model error and uncertainty. These were assessed with an ensemble of wheat crop models for two experiments, one conducted in Bushland, Texas, USA (three seasons, deficit and full irrigation) and another in Avignon, France (four rainfed seasons) with winter bread and durum wheat, respectively. Models were calibrated with all observed data for crop growth. The model ensemble median underestimated water use in all environments evaluated, suggesting a systematic bias. The relative error in underestimating daily ET was constant across levels of atmospheric evaporative demand; therefore, the absolute error was greater for days with larger evaporative demand. This implies errors in the soil water balance increase more rapidly under high evaporative demand conditions. Using a potential versus reference crop evapotranspiration approach did not explain relative model performance. However, the sensitivity analysis indicated that simulation of atmospheric evaporative demand terms explained much more uncertainty in seasonal water use than terms related to soil depth or root growth. Errors in simulated leaf area index were associated with errors in daily simulated ET, but the relationship varied with the growth stage. Collectively, the results suggest the need to improve simulation of atmospheric ET demand to avoid underestimating projected impacts of drought or required water resource availability for viable production systems.}, language = {en} } @misc{HeymanProniziusLewisetal., author = {Heyman, Tom and Pronizius, Ekaterina and Lewis, Savannah C. and Acar, Oguz A. and Adamkovič, Mat{\´u}š and Ambrosini, Ettore and Antfolk, Jan and Barzykowski, Krystian and Baskin, Ernest and Batres, Carlota and Boucher, Leanne and Boudesseul, Jordane and Brandst{\"a}tter, Eduard and Collins, W. Matthew and Filipović Ðurđević, Dušica and Egan, Ciara and Era, Vanessa and Ferreira, Paulo and Fini, Chiara and Garrido-V{\´a}squez, Patricia and Godbersen, Hendrik and Gomez, Pablo and Graton, Aurelien and Gurkan, Necdet and He, Zhiran and Johnson, Dave C. and Kačm{\´a}r, Pavol and Koch, Chris and Kowal, Marta and Kratochvil, Tomas and Marelli, Marco and Marmolejo-Ramos, Fernando and Mart{\´i}nez, Mart{\´i}n and Mattiassi, Alan and Maxwell, Nicholas P. and Montefinese, Maria and Morvinski, Coby and Neta, Maital and Nielsen, Yngwie A. and Ocklenburg, Sebastian and Onič, Jaš and Papadatou-Pastou, Marietta and Parker, Adam J. and Paruzel-Czachura, Mariola and Pavlov, Yuri G. and Perea, Manuel and Pfuhl, Gerit and Roembke, Tanja C. and R{\"o}er, Jan P. and Roettger, Timo B and Ruiz-Fernandez, Susana and Schmidt, Kathleen}, title = {Crowdsourcing multiverse analyses to explore the impact of different data-processing and analysis decisions : a tutorial}, series = {Psychological methods}, journal = {Psychological methods}, publisher = {American Psychological Association (APA)}, address = {Washington, DC}, issn = {1939-1463}, doi = {10.1037/met0000770}, abstract = {When processing and analyzing empirical data, researchers regularly face choices that may appear arbitrary (e.g., how to define and handle outliers). If one chooses to exclusively focus on a particular option and conduct a single analysis, its outcome might be of limited utility. That is, one remains agnostic regarding the generalizability of the results, because plausible alternative paths remain unexplored. A multiverse analysis offers a solution to this issue by exploring the various choices pertaining to data-processing and/or model building, and examining their impact on the conclusion of a study. However, even though multiverse analyses are arguably less susceptible to biases compared to the typical single-pathway approach, it is still possible to selectively add or omit pathways. To address this issue, we outline a novel, more principled approach to conducting multiverse analyses through crowdsourcing. The approach is detailed in a step-by-step tutorial to facilitate its implementation. We also provide a worked-out illustration featuring the Semantic Priming Across Many Languages project, thereby demonstrating its feasibility and its ability to increase objectivity and transparency. (PsycInfo Database Record (c) 2026 APA, all rights reserved).}, language = {en} } @misc{TrachteObregonBissollietal., author = {Trachte, Katja and Obregon, Andre and Bissolli, Peter and Nitsche, Helga and Parker, David and Kennedy, John and Kendon, Michael and Trigo, Ricardo M. and Barriopedro, David and Ramos, A. and Sensoy, Serhat and Hovhannisyan, Diana}, title = {Regional climates. Europe and the Middle East}, series = {State of the Climate in 2013, Bulletin of the American Meteorological Society}, volume = {95}, journal = {State of the Climate in 2013, Bulletin of the American Meteorological Society}, number = {7}, doi = {10.1175/2014BAMSStateoftheClimate.1}, pages = {181 -- 193}, abstract = {In 2013, the vast majority of the monitored climate variables reported here maintained trends established in recent decades. ENSO was in a neutral state during the entire year, remaining mostly on the cool side of neutral with modest impacts on regional weather patterns around the world. This follows several years dominated by the effects of either La Ni{\~n}a or El Ni{\~n}o events. According to several independent analyses, 2013 was again among the 10 warmest years on record at the global scale, both at the Earth's surface and through the troposphere. Some regions in the Southern Hemisphere had record or near-record high temperatures for the year. Australia observed its hottest year on record, while Argentina and New Zealand reported their second and third hottest years, respectively. In Antarctica, Amundsen-Scott South Pole Station reported its highest annual temperature since records began in 1957. At the opposite pole, the Arctic observed its seventh warmest year since records began in the early 20th century. At 20-m depth, record high temperatures were measured at some permafrost stations on the North Slope of Alaska and in the Brooks Range. In the Northern Hemisphere extratropics, anomalous meridional atmospheric circulation occurred throughout much of the year, leading to marked regional extremes of both temperature and precipitation. Cold temperature anomalies during winter across Eurasia were followed by warm spring temperature anomalies, which were linked to a new record low Eurasian snow cover extent in May. Minimum sea ice extent in the Arctic was the sixth lowest since satellite observations began in 1979. Including 2013, all seven lowest extents on record have occurred in the past seven years. Antarctica, on the other hand, had above-average sea ice extent throughout 2013, with 116 days of new daily high extent records, including a new daily maximum sea ice area of 19.57 million km2 reached on 1 October. ENSO-neutral conditions in the eastern central Pacific Ocean and a negative Pacific decadal oscillation pattern in the North Pacific had the largest impacts on the global sea surface temperature in 2013. The North Pacific reached a historic high temperature in 2013 and on balance the globally-averaged sea surface temperature was among the 10 highest on record. Overall, the salt content in nearsurface ocean waters increased while in intermediate waters it decreased. Global mean sea level continued to rise during 2013, on pace with a trend of 3.2 mm yr-1 over the past two decades. A portion of this trend (0.5 mm yr-1) has been attributed to natural variability associated with the Pacific decadal oscillation as well as to ongoing contributions from the melting of glaciers and ice sheets and ocean warming. Global tropical cyclone frequency during 2013 was slightly above average with a total of 94 storms, although the North Atlantic Basin had its quietest hurricane season since 1994. In the Western North Pacific Basin, Super Typhoon Haiyan, the deadliest tropical cyclone of 2013, had 1-minute sustained winds estimated to be 170 kt (87.5 m s-1) on 7 November, the highest wind speed ever assigned to a tropical cyclone. High storm surge was also associated with Haiyan as it made landfall over the central Philippines, an area where sea level is currently at historic highs, increasing by 200 mm since 1970. In the atmosphere, carbon dioxide, methane, and nitrous oxide all continued to increase in 2013. As in previous years, each of these major greenhouse gases once again reached historic high concentrations. In the Arctic, carbon dioxide and methane increased at the same rate as the global increase. These increases are likely due to export from lower latitudes rather than a consequence of increases in Arctic sources, such as thawing permafrost. At Mauna Loa, Hawaii, for the first time since measurements began in 1958, the daily average mixing ratio of carbon dioxide exceeded 400 ppm on 9 May. The state of these variables, along with dozens of others, and the 2013 climate conditions of regions around the world are discussed in further detail in this 24th edition of the State of the Climate series.}, language = {en} } @misc{YamadaXueLietal., author = {Yamada, Yuki and Xue, Jin and Li, Panpan and Ruiz-Fern{\´a}ndez, Susana and {\"O}zdoğru, Asil Ali and Sar{\i}, Şahsenem and Torres, Sergio C. and Hinojosa, Jos{\´e} A. and Montoro, Pedro R. and AlShebli, Bedoor and Bolatov, Aidos K. and McGeechan, Grant J. and Zloteanu, Mircea and Razpurker-Apfeld, Irene and Samekin, Adil and Tal-Or, Nurit and Tejada, Julian and Freitag, Raquel and Khatin-Zadeh, Omid and Banaruee, Hassan and Robin, Nicolas and Brise{\~n}o-Sanchez, Guillermo and Barrera-Causil, Carlos J. and Marmolejo-Ramos, Fernando}, title = {Where the 'bad' and the 'good' go : a multi-lab direct replication report of Casasanto (2009, Experiment 1)}, series = {Memory \& Cognition}, volume = {2024}, journal = {Memory \& Cognition}, publisher = {Springer Science and Business Media LLC}, issn = {0090-502X}, doi = {10.3758/s13421-024-01637-1}, pages = {1 -- 7}, abstract = {Casasanto (Journal of Experimental Psychology: General, 138, 351-367, 2009) conceptualised the body-specificity hypothesis by empirically finding that right-handed people tend to associate a positive valence with the right side and a negative valence with the left side, whilst left-handed people tend to associate a positive valence with the left side and negative valence with the right side. Thus, this was the first paper that showed a body-specific space-valence mapping. These highly influential findings led to a substantial body of research and follow-up studies, which could confirm the original findings on a conceptual level. However, direct replications of the original study are scarce. Against this backdrop and given the replication crisis in psychology, we conducted a direct replication of Casasanto's original study with 2,222 participants from 12 countries to examine the aforementioned effects in general and also in a cross-cultural comparison. Our results support Casasanto's findings that right-handed people associate the right side with positivity and the left side with negativity and vice versa for left-handers.}, language = {en} }