Atmospheric global circuit variations from vostok and concordia electric field measurements
Autor: | W. J. R. French, P. Grigioni, Brian A. Tinsley, Edgar A. Bering, A. V. Frank-Kamenetsky, G. Camporeale, G. B. Burns |
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Přispěvatelé: | Grigioni, P. |
Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Convection
Atmospheric Science 010504 meteorology & atmospheric sciences Diurnal temperature variation Atmospheric sciences 01 natural sciences Latitude Solar wind Atmospheric electricity Electric field Climatology 0103 physical sciences Environmental science Monthly average 010303 astronomy & astrophysics 0105 earth and related environmental sciences Antarctic plateau |
DOI: | 10.1175/JAS-D-16-0159.1&partnerID=40&md5=e0906064142803d93dde1c26458c0958 |
Popis: | Atmospheric electric field measurements from the Concordia station on the Antarctic Plateau are compared with those from Vostok (560 km away) for the period of overlap (2009–11) and to Carnegie (1915–29) and extended Vostok (2006–11) measurements. The Antarctic data are sorted according to several sets of criteria for rejecting local variability to examine a local summer-noon influence on the measurements and to improve estimates of the global signal. The contribution of the solar wind influence is evaluated and removed from the Vostok and Concordia measurements. Simultaneous measurements yield days when the covariability of the electric field measurements at Concordia and Vostok exceeds 90%, as well as intervals when significant local variability is apparent. Days of simultaneous changes in shape and mean level of the diurnal variation, as illustrated in a 5-day sequence, can be interpreted as due to changes in the relative upward current output of the electrified cloud generators predominating at low latitudes. Smaller average local meteorological influences are removed from the larger Vostok dataset, revealing changes in the shape of monthly average diurnal variations, which are similarly attributed to changes in predominantly low-latitude convection from month to month. |
Databáze: | OpenAIRE |
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