Alex B. Guenther
University Corporation for Atmospheric Research
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International Scholarly Research Notices | 2013
Alex B. Guenther
Biogenic volatile organic compounds (BVOC) emitted by terrestrial ecosystems into the atmosphere play an important role in determining atmospheric constituents including the oxidants and aerosols that control air quality and climate. Accurate quantitative estimates of BVOC emissions are needed to understand the processes controlling the earth system and to develop effective air quality and climate management strategies. The large uncertainties associated with BVOC emission estimates must be reduced, but this is challenging due to the large number of compounds and biological sources. The information on the immense biological and chemical diversity of BVOC is reviewed with a focus on observations that have been incorporated into the MEGAN2.1 BVOC emission model. Strategies for improving current BVOC emission modeling approaches by better representations of this diversity are presented. The current gaps in the available data for parameterizing emission models and the priorities for future measurements are discussed.
Korean Journal of Agricultural and Forest Meteorology | 2015
Hakyoung Kim; Meehye Lee; Saewung Kim; Alex B. Guenther; Jung-Min Park; Gangnam Cho; Hyun Seok Kim
To investigate the distributions of BVOCs (Biogenic Volatile Organic Compounds) from mountain near mega city and their role in forest atmospheric, BVOCs and their oxidized species were measured at a 41 m tower in Mt. Taehwa during May, June and August 2013. A proton transfer reaction-mass spectrometer (PTR-MS) was used to quantify isoprene and monoterpenes. In conjunction with BVOCs, O3, meteorological parameters, PAR (Photosynthetically Active Radiation) and LAI (Leaf Area Index) were measured. The average concentrations of isoprene and monoterpenes were 0.71 ppbv and 0.17 ppbv, respectively. BVOCs showed higher concentrations in the early summer (June) compared to the late summer (August). Isoprene started increasing at 2 PM and reached the maximum concentration around 5 PM. In contrast, monoterpenes concentrations began to increase 4 PM and stayed high at night. The O3 maximum was generally found at 3 PM and remained high until 5 PM or later, which was concurrent with the enhancement of O3. The concentrations of BVOCs were higher below canopy (18 m) than above canopy, which indicated these species were produced by trees. At night, monoterpenes concentrations were negatively correlated with these of O3 below canopy. Using MEGAN (Model of Emissions of Gases and Aerosols from Nature), the emissions of isoprene and monoterpenes were estimated at 1.1 ton/year and 0.9 ton/year, respectively at Mt. Taehwa.
Időjárás | 2018
Dalma Szinyei; Györgyi Gelybó; Alex B. Guenther; Andrew A. Turnipseed; Eszter Tóth; Peter J. H. Builtjes
In this study, we evaluated three conceptually similar ozone gas deposition models. These dry deposition models are frequently used with chemical transport models for calculations over large spatial domains. However, large scale applications of surface-atmosphere exchange of reactive gases require modeling results as accurate as possible to avoid nonlinear accumulation of errors in the spatially representative results. In this paper, model evaluation and comparison against measured data over a coniferous forest at Niwot Ridge AmeriFlux site (Colorado, USA) is carried out. At this site, no previous model calibration took place for any of the models, therefore, we can test and compare their performances under similar conditions as they would perform in a spatial application. Our results show systematic model errors in all the three cases, model performance varies with time of the day, and the errors show a pronounced seasonal pattern as well. The introduction of soil moisture content stress in the model improved model performance regarding the magnitude of fluxes, but the correlation between measured and modeled ozone deposition values remains low. Our results suggest that ozone dry deposition model results should be interpreted carefully in large scale applications, where the accuracy can vary with land cover sometimes are biased.
11th Science Conference of the International Global Atmospheric Chemistry (IGAC) Project | 2010
Claire Granier; Alex B. Guenther; Paulette Middleton; Aude Mieville
Archive | 2007
Carsten Warneke; S. A. McKeen; Joost A. de Gouw; Lori Ann del Negro; J. Brioude; Harald Stark; Michael K. Trainer; F. C. Fehsenfeld; Christine Wiedinmyer; U. Vanchindorj; Alex B. Guenther
Archive | 2005
Bruce Baker; M. Graessli; J. Z. Bai; Anthony Huang; Nan Li; Alex B. Guenther
Archive | 2007
Thomas R. Karl; Alex B. Guenther; T. B. Jobson; Erik Velasco; Brian K. Lamb
Archive | 2006
Luiz Vicente Rizzo; P. P. Artaxo; Alex B. Guenther; Thomas R. Karl; Jeffrey Greenberg
Archive | 2003
William E. Bradley; Ryan W-M. Schnell; Pierre-Louis Prevost; James Greenberg; Alex B. Guenther
Archive | 2018
Eliane G. Alves; Julio Tóta; Andrew A. Turnipseed; Jose O.V. Bustillos; Raoni Aquino Silva de Santana; Paula Regina Corain Lopes; Glauber G. Cirino; Julia V. Tavares; Aline P. Lopes; Bruce Walker Nelson; Diogo Rosa; Dalton Vale; Rodrigo Souza; Dasa Gu; Trissevgeni Stavrakou; David H. Adams; Jin Wu; Scott R. Saleska; Cléo Q. Dias-Júnior; Ana Maria Yañez-Serrano; J. Kesselmeier; Thomas R. Karl; Antonio O. Manzi; Alex B. Guenther