Gap-filling strategies for annual VOC flux data sets

Biogeosciences Discussions : (BGD)
Ines BambergerGeorg Wohlfahrt

Abstract

Up to now the limited knowledge about the exchange of volatile organic compounds (VOCs) between the biosphere and the atmosphere is one of the factors which hinders more accurate climate predictions. Complete long-term flux data sets of several VOCs to quantify the annual exchange and validate recent VOC models are basically not available. In combination with long-term VOC flux measurements the application of gap-filling routines is inevitable in order to replace missing data and make an important step towards a better understanding of the VOC ecosystem-atmosphere exchange on longer time scales. We performed VOC flux measurements above a mountain meadow in Austria during two complete growing seasons (from snowmelt in spring to snow reestablishment in late autumn) and used this data set to test the performance of four different gap-filling routines, mean diurnal variation (MDV), mean gliding window (MGW), look up tables (LUT) and linear interpolation (LIP), in terms of their ability to replace missing flux data in order to obtain reliable VOC sums. According to our findings the MDV routine was outstanding with regard to the minimization of the gap-filling error for both years and all quantified VOCs. The other gap-filling routin...Continue Reading

References

Apr 3, 2007·Environmental Science & Technology·Allen H Goldstein, Ian E Galbally
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Apr 27, 2008·Journal of Geophysical Research. Atmospheres : JGR·Georg WohlfahrtAlexander Cernusca
Jul 27, 2011·Journal of Geophysical Research. Atmospheres : JGR·I BambergerA Hansel

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Citations

Jan 5, 2014·PloS One·Moritz WalserFranziska Plessow

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