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Global lightning activity and climate change

Thesis/Dissertation ·
OSTI ID:106809
The relationship between global lightning frequencies and global climate change is examined in this thesis. In order to study global impacts of climate change, global climate models or General Circulations Models (GCMs) need to be utilized. Since these models have coarse resolutions many atmospheric phenomena that occur at subgrid scales, such as lightning, need to be parameterized whenever possible. We begin with a simple parameterization used to Simulate total (intracloud and cloud-to-ground) lightning frequencies. The parameterization uses convective cloud top height to approximate lightning frequencies. Then we consider a parameterization for simulating cloud-to-ground (CG) lightning around the globe. This parameterization uses the thickness of the cold cloud sector in thunderstorms (0{degrees}C to cloud top) to calculate the proportion of CG flashes in a particular thunderstorm. We model lightning in the Goddard Institute for Space Studies (GISS) GCM. We present two climate change scenarios. One for a climate where the solar constant is reduced by 2% (5.9{degrees}C global cooling), and one for a climate with twice the present concentration of CO{sub 2} in the atmosphere (4.2{degrees}C global warming). The results imply a 24%/30% decrease/increase in global lightning frequencies for the cooler/warmer climate. The possibility of using the above findings to monitor future global warming is discussed. The earth`s ionospheric potential, which is regulated by global thunderstorm activity, could supply valuable information regarding global surface temperature fluctuations. Finally, we look at the implications of changes in both lightning frequencies and the hydrological cycle, as a result of global warming, on natural forest fires. In the U.S. the annual mean number of lightning fires could increase by 40% while the area burned may increase by 65% in a 2{times}CO{sub 2} climate. On a global scale the largest increase in lightning fires can be expected in the tropics.
Research Organization:
Columbia Univ., New York, NY (United States)
OSTI ID:
106809
Country of Publication:
United States
Language:
English

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