Igor Razlivanov
Arizona State University
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Featured researches published by Igor Razlivanov.
Journal of Geophysical Research | 2015
Jocelyn Turnbull; Colm Sweeney; Anna Karion; Timothy Newberger; Scott J. Lehman; Pieter P. Tans; Kenneth J. Davis; Thomas Lauvaux; Natasha L. Miles; Scott J. Richardson; Maria O. L. Cambaliza; Paul B. Shepson; Kevin Robert Gurney; Risa Patarasuk; Igor Razlivanov
The Indianapolis Flux Experiment (INFLUX) aims to develop and assess methods for quantifying urban greenhouse gas emissions. Here we use CO2, 14CO2, and CO measurements from tall towers around Indianapolis, USA, to determine urban total CO2, the fossil fuel derived CO2 component (CO2ff), and CO enhancements relative to background measurements. When a local background directly upwind of the urban area is used, the wintertime total CO2 enhancement over Indianapolis can be entirely explained by urban CO2ff emissions. Conversely, when a continental background is used, CO2ff enhancements are larger and account for only half the total CO2 enhancement, effectively representing the combined CO2ff enhancement from Indianapolis and the wider region. In summer, we find that diurnal variability in both background CO2 mole fraction and covarying vertical mixing makes it difficult to use a simple upwind-downwind difference for a reliable determination of total CO2 urban enhancement. We use characteristic CO2ff source sector CO:CO2ff emission ratios to examine the contribution of the CO2ff source sectors to total CO2ff emissions. This method is strongly sensitive to the mobile sector, which produces most CO. We show that the inventory-based emission product (“bottom up”) and atmospheric observations (“top down”) can be directly compared throughout the diurnal cycle using this ratio method. For Indianapolis, the top-down observations are consistent with the bottom-up Hestia data product emission sector patterns for most of the diurnal cycle but disagree during the nighttime hours. Further examination of both the top-down and bottom-up assumptions is needed to assess the exact cause of the discrepancy.
Journal of Geophysical Research | 2016
Thomas Lauvaux; Natasha L. Miles; Aijun Deng; Scott J. Richardson; Maria O. L. Cambaliza; Kenneth J. Davis; Brian J. Gaudet; Kevin Robert Gurney; Jianhua Huang; Darragh O'Keefe; Yang Song; Anna Karion; Tomohiro Oda; Risa Patarasuk; Igor Razlivanov; Daniel P. Sarmiento; Paul B. Shepson; Colm Sweeney; Jocelyn Turnbull; Kai Wu
Based on a uniquely dense network of surface towers measuring continuously the atmospheric concentrations of greenhouse gases (GHGs), we developed the first comprehensive monitoring systems of CO2 emissions at high resolution over the city of Indianapolis. The urban inversion evaluated over the 2012-2013 dormant season showed a statistically significant increase of about 20% (from 4.5 to 5.7 MtC ± 0.23 MtC) compared to the Hestia CO2 emission estimate, a state-of-the-art building-level emission product. Spatial structures in prior emission errors, mostly undetermined, appeared to affect the spatial pattern in the inverse solution and the total carbon budget over the entire area by up to 15%, while the inverse solution remains fairly insensitive to the CO2 boundary inflow and to the different prior emissions (i.e., ODIAC). Preceding the surface emission optimization, we improved the atmospheric simulations using a meteorological data assimilation system also informing our Bayesian inversion system through updated observations error variances. Finally, we estimated the uncertainties associated with undetermined parameters using an ensemble of inversions. The total CO2 emissions based on the ensemble mean and quartiles (5.26-5.91 MtC) were statistically different compared to the prior total emissions (4.1 to 4.5 MtC). Considering the relatively small sensitivity to the different parameters, we conclude that atmospheric inversions are potentially able to constrain the carbon budget of the city, assuming sufficient data to measure the inflow of GHG over the city, but additional information on prior emission error structures are required to determine the spatial structures of urban emissions at high resolution.
Environmental Science & Technology | 2012
Kevin Robert Gurney; Igor Razlivanov; Yang Song; Yuyu Zhou; Bedrich Benes; Michel Abdul-Massih
Atmospheric Chemistry and Physics | 2013
Maria O. L. Cambaliza; Paul B. Shepson; D. R. Caulton; Brian H. Stirm; D. Samarov; Kevin Robert Gurney; Jocelyn Turnbull; Kenneth J. Davis; A. Possolo; Anna Karion; Colm Sweeney; B. Moser; A. Hendricks; Thomas Lauvaux; K. Mays; James R. Whetstone; Jianhua Huang; Igor Razlivanov; Natasha L. Miles; Scott J. Richardson
Energy Policy | 2013
Daniel Mendoza; Kevin Robert Gurney; Sarath Geethakumar; Vandhana Chandrasekaran; Yuyu Zhou; Igor Razlivanov
Elem Sci Anth | 2017
Natasha L. Miles; Scott J. Richardson; Thomas Lauvaux; Kenneth J. Davis; Nikolay V. Balashov; Aijun Deng; Jocelyn Turnbull; Colm Sweeney; Kevin Robert Gurney; Risa Patarasuk; Igor Razlivanov; Maria O. L. Cambaliza; Paul B. Shepson
Journal of Geophysical Research | 2015
Jocelyn Turnbull; Colm Sweeney; Anna Karion; Timothy Newberger; Scott J. Lehman; Pieter P. Tans; Kenneth J. Davis; Thomas Lauvaux; Natasha L. Miles; Scott J. Richardson; Maria O. L. Cambaliza; Paul B. Shepson; Kevin Robert Gurney; Risa Patarasuk; Igor Razlivanov
Journal of Industrial Ecology | 2016
Kevin Robert Gurney; Risa Patarasuk; Igor Razlivanov; Yang Song; Darragh O'Keeffe; Jianhua Huang; Yuyu Zhou; Preeti Rao
Journal of Geophysical Research | 2016
Thomas Lauvaux; Natasha L. Miles; Aijun Deng; Scott J. Richardson; Maria O. L. Cambaliza; Kenneth J. Davis; Brian J. Gaudet; Kevin Robert Gurney; Jianhua Huang; Darragh O'Keefe; Yang Song; Anna Karion; Tomohiro Oda; Risa Patarasuk; Igor Razlivanov; Daniel P. Sarmiento; Paul B. Shepson; Colm Sweeney; Jocelyn Turnbull; Kai Wu
congress on modelling and simulation | 2011
K. R. Gurney; Yuyu Zhou; Daniel Mendoza; Vandhana Chandrasekaran; S. Geethakumar; Igor Razlivanov; Yang Song; A. Godbole