scholarly journals Introducing a new paradigm for computational earth science: A Web-object-based approach to earthquake simulations

Author(s):  
Geoffrey C. Fox ◽  
Ken Hurst ◽  
Andrea Donnellan ◽  
Jay Parker
2020 ◽  
Vol 56 (2) ◽  
Author(s):  
Allison E. Goodwell ◽  
Peishi Jiang ◽  
Benjamin L. Ruddell ◽  
Praveen Kumar

2006 ◽  
Vol 32 (6) ◽  
pp. 793-802 ◽  
Author(s):  
Shaochun Dong ◽  
Shijin Xu ◽  
Gangshan Wu

2020 ◽  
Vol 56 (2) ◽  
Author(s):  
Grey S. Nearing ◽  
Benjamin L. Ruddell ◽  
Andrew R. Bennett ◽  
Cristina Prieto ◽  
Hoshin V. Gupta

Eos ◽  
2009 ◽  
Vol 90 (49) ◽  
pp. 473 ◽  
Author(s):  
Erle C. Ellis ◽  
Peter K. Haff
Keyword(s):  

2022 ◽  
Author(s):  
Thomas Rossetter

ABSTRACT In this paper, I use Thomas S. Kuhn’s model of scientific change to frame a brief, broad-brushed biographical sketch of the career of Warren B. Hamilton. I argue that Hamilton’s career can usefully be interpreted as encompassing a full “Kuhn cycle,” from a period of crisis in his early work, to one of normal science in midcareer, and back to something resembling crisis in his later research. Hamilton entered the field around mid-twentieth century when earth science can plausibly be described as being in a period of crisis. The then dominant fixist paradigm was facing an increasing number of difficulties, an alternative mobilist paradigm was being developed, and Hamilton played an important role in its development. The formulation of plate tectonics in the 1960s saw the overthrow of the fixist paradigm. This inaugurated a new phase of normal science as scientists worked within the new paradigm, refining it and applying it to different regions and various geological phenomena. Hamilton’s midcareer work fits largely into this category. Later, as the details of the plate-tectonic model became articulated more fully, and several of what Hamilton perceived as weakly supported conjectures became incorporated into the paradigm, problems began again to accumulate, and earth science, in Hamilton’s estimation, entered a new period of crisis. Radically new frameworks were now required, and Hamilton’s later work was dedicated principally to developing and articulating these frameworks and to criticizing mainstream views.


2018 ◽  
Vol 33 (3) ◽  
pp. 715-737 ◽  
Author(s):  
Christopher D. Karstens ◽  
James Correia ◽  
Daphne S. LaDue ◽  
Jonathan Wolfe ◽  
Tiffany C. Meyer ◽  
...  

Abstract Providing advance warning for impending severe convective weather events (i.e., tornadoes, hail, wind) fundamentally requires an ability to predict and/or detect these hazards and subsequently communicate their potential threat in real time. The National Weather Service (NWS) provides advance warning for severe convective weather through the issuance of tornado and severe thunderstorm warnings, a system that has remained relatively unchanged for approximately the past 65 years. Forecasting a Continuum of Environmental Threats (FACETs) proposes a reinvention of this system, transitioning from a deterministic product-centric paradigm to one based on probabilistic hazard information (PHI) for hazardous weather events. Four years of iterative development and rapid prototyping in the National Oceanic and Atmospheric Administration (NOAA) Hazardous Weather Testbed (HWT) with NWS forecasters and partners has yielded insights into this new paradigm by discovering efficient ways to generate, inform, and utilize a continuous flow of information through the development of a human–machine mix. Forecasters conditionally used automated object-based guidance within four levels of automation to issue deterministic products containing PHI. Forecasters accomplished this task in a timely manner while focusing on communication and conveying forecast confidence, elements considered necessary by emergency managers. Observed annual increases in the usage of first-guess probabilistic guidance by forecasters were related to improvements made to the prototyped software, guidance, and techniques. However, increasing usage of automation requires improvements in guidance, data integration, and data visualization to garner trust more effectively. Additional opportunities exist to address limitations in procedures for motion derivation and geospatial mapping of subjective probability.


Author(s):  
Thomas Blaschke ◽  
Geoffrey J. Hay ◽  
Maggi Kelly ◽  
Stefan Lang ◽  
Peter Hofmann ◽  
...  

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