Probing the climatological impact of a cosmic ray–cloud connection through low-frequency radio observations
| Autor: | Michael Kavic, Nathan Magee |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Atmospheric Science
010504 meteorology & atmospheric sciences Astrophysics::High Energy Astrophysical Phenomena FOS: Physical sciences Climate change Context (language use) Cosmic ray Cloud computing 01 natural sciences Radio telescope Physics - Space Physics 0103 physical sciences 010303 astronomy & astrophysics 0105 earth and related environmental sciences Physics business.industry Astronomy Radiative forcing Space Physics (physics.space-ph) Physics - Atmospheric and Oceanic Physics Geophysics 13. Climate action Space and Planetary Science Atmospheric and Oceanic Physics (physics.ao-ph) Satellite Ionosphere business |
| Zdroj: | Journal of Atmospheric and Solar-Terrestrial Physics. 74:224-231 |
| ISSN: | 1364-6826 |
| DOI: | 10.1016/j.jastp.2011.10.003 |
| Popis: | It has been proposed that cosmic ray events could have a causal relationship with cloud formation rates. Given the weak constraints on the role that cloud formation plays in climate forcing it is essential to understand the role such a relationship could have in shaping the Earth's climate. This issue has been previously investigated in the context of the long-term effect of cosmic ray events on climate. However, in order to establish whether or not such a relationship exists, measurements of short-timescale solar events, individual cosmic ray events, and spatially correlated cloud parameters could be of great significance. Here we propose such a comparison using observations from a pair of radio telescopes arrays, the Long Wavelength Array (LWA) and the Eight-meter-wavelength Transient Array (ETA). These low-frequency radio arrays have a unique ability to simultaneously conduct solar, ionospheric and cosmic rays observations and are thus ideal for such a comparison. We will outline plans for a comparison using data from these instruments, satellite images of cloud formation as well as expected cloud formation rates from numerical models. We present some preliminary results illustrating the efficacy of this type of comparison and discuss future plans to carryout this program. Comment: 17 pages, 5 figures |
| Databáze: | OpenAIRE |
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