The top-down estimates are compared to the corresponding values obtained using the Global Fire Emissions Database (GFED4) and the Fire Emission Inventory-northern Eurasia (FEI-NE). Applying this parameterization to the BC and OC column amounts simulated using the CHIMERE chemistry transport model, we optimize the parameters of the BB emission model based on MODIS measurements of the fire radiative power (FRP) we then obtain top-down optimized estimates of the total monthly BB BC amounts emitted from intense Siberian fires that occurred from May to Septem-ber 2012. Using aerosol remote sensing data collected at Siberian sites of the AErosol RObotic NETwork (AERONET) along with the results of the fourth Fire Lab at Missoula Experiment (FLAME-4), we establish an empirical parameterization relating the ratio of the elemental carbon (EC) and organic carbon (OC) contents in BB aerosol to the ratio of AAOD and AOD at the wavelengths of the satellite observations. We consider the case of Siberian BB BC emissions, which have the strong potential to impact the Arc-tic climate system.
Here, we investigate the feasibility of constraining BC emissions from BB using satellite observations of the aerosol absorption optical depth (AAOD) and the aerosol extinction optical depth (AOD) retrieved from OMI (Ozone Monitoring Instrument) and MODIS (Moder-ate Resolution Imaging Spectroradiometer) measurements, respectively. Features articles that cover the major areas of fundamental and applied mathematics.Abstract : Black carbon (BC) emissions from open biomass burning (BB) are known to have a considerable impact on the radiative budget of the atmosphere at both global and regional scales however, these emissions are poorly constrained in models by atmospheric observations, especially in remote regions.The prime outlet for the findings of scientists from the Faculty of Mathematics and Mechanics of St.Reviewers should indicate in a review (i) any relevant published work that has not been cited by the authors, (ii) anything that has been reported in previous publications and not given appropriate reference or citation, (ii) any substantial similarity or overlap with any other manuscript (published or unpublished) of which they have personal knowledge. Personal criticism of the authors must be avoided. Reviewers should formulate their statements clearly in a sound and reasoned way so that authors can use reviewer’s arguments to improve the manuscript. The final decision on the acceptance of an article for publication is made by the Editorial Board.Īny invited reviewer who feels unqualified or unable to review the manuscript due to the conflict of interests should promptly notify the editors and decline the invitation. The average rejection rate for submitted manuscripts is 30%.
We use a single blind peer review format. Petersburg University: Mathematics is a peer reviewed journal. The following are the main subject headings: Mathematical Analysis Higher Algebra and Numbers Theory Higher Geometry Differential Equations Mathematical Physics Computational Mathematics and Numerical Analysis Statistical Simulation Theoretical Cybernetics Game Theory Operations Research Theory of Probability and Mathematical Statistics, and Mathematical Problems of Mechanics and Astronomy. Articles of the journal cover the major areas of fundamental and applied mathematics. It is the prime outlet for the findings of scientists from the Faculty of Mathematics and Mechanics of St.
Petersburg University, Mathematics is a journal that publishes original contributions in all areas of fundamental and applied mathematics.
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