Relationship between lightning-storm characteristics , and both power and rate of lightning-discharge RF emissions observed by FORTE
Prior studies have noted a strongly nonlinear enhancement of lightning flash rates with increasing cloud height. Here we report a related observation, of a tendency for increased intracloud (IC)-discharge radioemission power versus increased height of the electrified cloud. We find that there is a strong statistical increase of effective radiated power (ERP, or isotropic peak power radiated from the source in the receiver bandwidth) of IC discharges, for increasing capping height of the parent storm. Thus a future satellite-based lightning monitor which triggers on only the most intense radio emissions will be strongly selective for electrified storms with very deep vertical development. Such storms are also indicated in severe convective weather. INTRODUCTION Why is thunderstorm height important to monitor? It is now widely accepted that thunderstorm electrification usually requires collisions between graupel (or hail) and ice crystals in the presence of supercooled water [see. e.g, the review in Baker et al., 1999]. Blythe et al [2001] have shown on the basis of scaling relationships that a thundercloud’s lightning flash rate (f) is expected to be “proportional to the product of the downward flux of solid precipitation (i.e, graupel and hail) through the body of the thundercloud and the upward flux of ice crystals into the anvil”. In a useful review on the electrification of severe storms, Williams [2001] (subsequently W2001) shows that having a sustained presence of mixed-phase-hydrometeors together in the same region requires the cloud to have deep vertical development: The cloud must extend upward to the -40 Celsius isotherm or thereabouts, and must implicitly contain an intense core updraft. The latter can lead to tropopause overshoot (see in particular Figure 13.14 of W2001) and thus to water vapor insertion into the normally dry stratosphere. Here we report on initial observations of a relationship between storm height and lightning vigor, with the lightning vigor being sensed by radio emissions. Given that the FORTE satellite carries neither a radar (like the TRMM PR) nor a microwave imager (like the TRMM TMI), our inference of storm height cannot derive from such non-lightning data, at least not on such data provided by FORTE itself. Instead, our inference is based on the distribution of lightning-discharge heights for each storm. In this present paper, we find that the radio ERP is a significant statistical correlate of storm height as inferred from contemporaneous FORTE RF data. Satellite RF lightning monitoring is able to measure the lightning-discharge height, not just the horizontal position (latitude, longitude). This ability is unique to the RF approach: The optical signature of lightning seen from space is a transient cloud-top brightening, regardless of where (in height) the lightning occurs in the atmospheric column underneath the cloud top. Optical photons are elastically Mie-scattered tens to hundreds of times, in what is effectively a diffusion process through the cloud [Koshak et al., 1994; Light et al., 2001] before emerging from the cloud top. By contrast, RF propagates through clouds with neither scattering nor attenuation. a future GPS-based RF monitor would use differential-time-of-arrival (DTOA) methods to retrieve not only the discharge plan location (longitude, latitude) but also the discharge altitude [Suszcynsky et al., 2000].
Determination of ice precipitation rates and thunderstorm anvil ice contents from satellite observations of lightning
Abstract The continuous satisfactory functioning of satellite-borne devices for the detection of global lightning offers the opportunity to explore relationships between lightning frequency f and other thundercloud parameters, notably, in this paper, the precipitating and non-precipitating contents and fluxes of ice. Simple calculations predict that the lightning frequency f is proportional to the product of the downward flux of solid precipitation through the body of the thundercloud and the upward flux of ice crystals into its anvil. This prediction is reinforced by computations performed using the multiple lightning model of Baker et al. [Q. J. R. Meteorol. Soc. 121 (1995) 1525; Atmos. Res. 51 (1999) 221]. Calculations indicate that the separation of charge and associated field development in thunderclouds are not significantly limited by charge saturation of the interacting hydrometeors: and that the mutual interactions of graupel pellets in the charging zones of thunderstorms can significantly enhance electric field development, culminating in lightning. An examination of data from the satellite-borne Lightning Imaging Sensor (LIS) and TRMM Microwave Imager (TMI) suggests that thunderstorms with the highest frequency of total lightning also possess the most pronounced microwave scattering signatures at 37 and 85 GHz. A total of 292 individual thunderstorms were examined, and a log-linear relationship was shown to exist (one for each frequency) between the number of optical lightning pulses produced by each storm and the corresponding microwave brightness temperatures. These relationships are consistent throughout the seasons in a variety of regimes (12 sites encompassing five continents, as well as oceanic measurements), suggesting that global relationships may be found to exist between lightning activity and cloud ice content.
Creating the Virtual Universe
Simulation software is important to our understanding of the universe. The intrinsic multiphysics aspects are spiced with a range of temporal scales and spatial scales, both of which cover more digits than are available in the standard hardware. This, together with the intrinsic chaotic nature of many physical processes, poses quite a challenge. To meet this challenge, researchers developed the Astronomical Multipurpose Environment (AMUSE). Instead of writing a suite of multiphysics solvers from scratch, AMUSE's developers coupled existing solvers for each physical ingredient. The result is a highly inhomogeneous collection of dedicated solvers with a homogeneous protocol that scales to supercomputers.