The Effect of Global Warming on Severe Thunderstorms in the United States

2015 ◽  
Vol 28 (6) ◽  
pp. 2443-2458 ◽  
Author(s):  
Jacob T. Seeley ◽  
David M. Romps

Abstract How will warming temperatures influence thunderstorm severity? This question can be explored by using climate models to diagnose changes in large-scale convective instability (CAPE) and wind shear, conditions that are known to be conducive to the formation of severe thunderstorms. First, an ensemble of climate models from phase 5 of the Coupled Model Intercomparison Project (CMIP5) is evaluated on its ability to reproduce a radiosonde climatology of such storm-favorable conditions in the current climate’s spring and summer seasons, focusing on the contiguous United States (CONUS). Of the 11 climate models evaluated, a high-performing subset of four (GFDL CM3, GFDL-ESM2M, MRI-CGCM3, and NorESM1-M) is identified. Second, the twenty-first-century changes in the frequency of environments favorable to severe thunderstorms are calculated in these high-performing models as they are forced by the RCP4.5 and RCP8.5 emissions pathways. For the RCP8.5 scenario, the models predict consistent CONUS-mean fractional springtime increases in the range of 50%–180% by the end of the twenty-first century; for the summer, three of the four models predict increases in the range of 40%–120% and one model predicts a small decrease. This disagreement between the models is traced to divergent projections for future CAPE and boundary layer humidity in the Great Plains. This paper also explores the sensitivity of the results to the relative weight given to wind shear in determining how “favorable” a large-scale environment is for the development of severe thunderstorms, and it is found that this weighting is not the dominant source of uncertainty in projections of future thunderstorm severity.

Author(s):  
James Lee Brooks

AbstractThe early part of the twenty-first century saw a revolution in the field of Homeland Security. The 9/11 attacks, shortly followed thereafter by the Anthrax Attacks, served as a wakeup call to the United States and showed the inadequacy of the current state of the nation’s Homeland Security operations. Biodefense, and as a direct result Biosurveillance, changed dramatically after these tragedies, planting the seeds of fear in the minds of Americans. They were shown that not only could the United States be attacked at any time, but the weapon could be an invisible disease-causing agent.


Author(s):  
Ellen Rutten

This conclusion reflects on today's dreams of renewing or revitalizing sincerity and rejects the notion that they are outdated or do not deserve any of our attention. It cites the work of several scholars to show that sincerity is anything but obsolete in twenty-first-century popular culture. Indeed, today's strivings to renew sincerity have not been neglected by scholars such as R. Jay Magill Jr., Epstein, and Yurchak. The rhetoric on new sincerity has been addressed in thoughtful analyses of contemporary culture that have helped the author in crafting a comprehensive and geographically inclusive analysis of present-day sincerity rhetoric. In post-Communist Russia, debates on a shift to late or post-postmodern cultural paradigms are thriving with at least as much fervor as—and possibly more than—in Western Europe or the United States. This conclusion discusses the newly gained insights which the author's sincerity study offers.


1999 ◽  
Vol 78 (5) ◽  
pp. 178 ◽  
Author(s):  
Kenneth Maxwell ◽  
Albert Fishlow ◽  
James Jones

2021 ◽  
pp. 1-48
Author(s):  
Daniel F. Schmidt ◽  
Kevin M. Grise

AbstractClimate change during the twenty-first century has the potential to substantially alter geographic patterns of precipitation. However, regional precipitation changes can be very difficult to project, and in some regions, global climate models do not even agree on the sign of the precipitation trend. Since some of this uncertainty is due to internal variability rather than model bias, models cannot be used to narrow the possibilities to a single outcome, but they can usefully quantify the range of plausible outcomes and identify the combination of dynamical drivers that would be likely to produce each.This study uses a storylines approach—a type of regression-based analysis—to identify some of the key dynamical drivers that explain the variance in 21st century U.S. winter precipitation trends across CMIP6 models under the SSP3-7.0 emissions scenario. This analysis shows that the spread in precipitation trends is not primarily driven by differences in modeled climate sensitivity. Key drivers include global-mean surface temperature, but also tropical upper-troposphere temperature, the El Niño-Southern Oscillation (ENSO), the Pacific-North America (PNA) pattern, and the East Pacific (EP) dipole (a dipole pattern in geopotential heights over North America’s Pacific coast). Combinations of these drivers can reinforce or cancel to produce various high- or low-impact scenarios for winter precipitation trends in various regions of the United States. For example, the most extreme winter precipitation trends in the southwestern U.S. result from opposite trends in ENSO and EP, whereas the wettest winter precipitation trends in the midwestern U.S. result from a combination of strong global warming and a negative PNA trend.


Author(s):  
Sean Parson

In the Coda, the lessons and theoretical positions of the entire document are condensed into four short theses, which can start a conversation around the role and politics of a radical homeless urban politics within the context of the twenty-first-century capitalist political economy and the rise of Trumpism in the United States.


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