Agreement of analytical and simulation‐based estimates of the required land depth in climate models

Author(s):  
N. J. Steinert ◽  
J. F. González Rouco ◽  
C. A. Melo Aguilar ◽  
F. García‐Pereira ◽  
E. García‐Bustamante ◽  
...  
Author(s):  
Jordan Gowanlock

AbstractThis chapter studies how unpredictable change is understood through concepts like of fractals, chaos theory, catastrophe theory, perfect storms, and climate models in feature films from 1982 to 2019, both as narrative themes and as spectacular simulation-based animations. Positing a particular mode of visual effects spectatorship, the chapter observes how narrative, theme, and spectacular images represent these concepts in congress. Over the period surveyed, these representations shift from sublime overwhelming images of disastrous events to more recent examples that embrace chaos as a source of creativity and knowledge.


2020 ◽  
Vol 117 (33) ◽  
pp. 19656-19657 ◽  
Author(s):  
Christopher R. Schwalm ◽  
Spencer Glendon ◽  
Philip B. Duffy

Climate simulation-based scenarios are routinely used to characterize a range of plausible climate futures. Despite some recent progress on bending the emissions curve, RCP8.5, the most aggressive scenario in assumed fossil fuel use for global climate models, will continue to serve as a useful tool for quantifying physical climate risk, especially over near- to midterm policy-relevant time horizons. Not only are the emissions consistent with RCP8.5 in close agreement with historical total cumulative CO2emissions (within 1%), but RCP8.5 is also the best match out to midcentury under current and stated policies with still highly plausible levels of CO2emissions in 2100.


2009 ◽  
Vol 23 (2) ◽  
pp. 117-127 ◽  
Author(s):  
Astrid Wichmann ◽  
Detlev Leutner

Seventy-nine students from three science classes conducted simulation-based scientific experiments. They received one of three kinds of instructional support in order to encourage scientific reasoning during inquiry learning: (1) basic inquiry support, (2) advanced inquiry support including explanation prompts, or (3) advanced inquiry support including explanation prompts and regulation prompts. Knowledge test as well as application test results show that students with regulation prompts significantly outperformed students with explanation prompts (knowledge: d = 0.65; application: d = 0.80) and students with basic inquiry support only (knowledge: d = 0.57; application: d = 0.83). The results are in line with a theoretical focus on inquiry learning according to which students need specific support with respect to the regulation of scientific reasoning when developing explanations during experimentation activities.


2004 ◽  
Author(s):  
L. L. Kusumoto ◽  
◽  
R. M. Gehorsam ◽  
B. D. Comer ◽  
J. R. Grosse

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