Avelino F Arellano

Interests

Research

atmospheric chemistry modeling and data assimilation, satellite remote sensing of atmospheric composition, biomass burning, anthropogenic pollution, urbanization

Teaching

data assimilation, atmospheric composition, air pollution, computational methods, physical meteorology, remote sensing

Courses

Scholarly Contributions

Journals/Publications

• Minjarez-Sosa, C. M., Fierro, L. M., Adams, D. K., Arellano, A. F., Moker, Jr., J. M., Castro, C. L., & Risanto, C. B. (2019). Evaluating Forecast Skills of Moisture from Convective-Permitting WRF-ARW Model during 2017 North American Monsoon Season. Atmosphere. doi:10.3390/atmos10110694
• Tang, W., Arellano, A. F., Gaubert, B., Miyazaki, K., & Worden, H. M. (2019). Satellite data reveal a common combustion emission pathway for major cities in China. Atmospheric Chemistry and Physics, 19(7), 4269--4288.
• Tang, W., Emmons, L. K., Arellano Jr, ,., Gaubert, B., Knote, C., Tilmes, S., Buchholz, R. R., Pfister, G. G., Diskin, G. S., Blake, D. R., Blake, N. J., Meinardi, S., DiGangi, J. P., Choi, Y., Woo, J., He, C., Schroeder, J. R., Suh, I., Lee, H., , Jo, H., et al. (2019). Source Contributions to Carbon Monoxide Concentrations During KORUS-AQ Based on CAM-chem Model Applications. Journal of Geophysical Research: Atmospheres, 124(5), 2796-2822.
• Edwards, D. P., Worden, H. M., Neil, D., Francis, G., Valle, T., & Arellano Jr., ,. A. (2018). The CHRONOS mission: capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution. Atmospheric Measurement Techniques, 11(2), 1061--1085.
• Fox, A., Hoar, T., Anderson, J., Arellano, A. F., Smith, W., Litvak, M., MacBean, N., Schimel, D., & Moore, D. (2018). Evaluation of a Data Assimilation System for Land Surface Models using CLM4.5. Journal of Advances in Modeling Earth Systems.
• Granier, C., Arellano, A. F., & Stavrakou, J. (2018). The new Analysis of eMIssions usinG Observations (AMIGO) project of IGAC. IGACnews.
• Jiang, Z., Worden, H., Worden, J., Miyazaki, K., McDonald, B., Qu, Z., Henze, D., Jones, D., Arellano, A. F., Fischer, E., Zhu, L., & Boersma, K. F. (2018). Unexpected slowdown of US pollutant emission reduction in the past decade. Proceedings of the National Academy of Sciences.
• Moker, J., Castro, C., Serra, Y., Arellano, A. F., & Adams, D. (2018). Convective-permitting hindcast simulations during The North American Monsoon GPS Transect Experiment 2013: Establishing Baseline Model Performance Without Data Assimilation. Journal of Applied Meteorology and Climatology.
• Serra, Y. L., Haase, J. S., Adams, D. K., Fu, Q., Ackerman, T. P., Alexander, M. J., Arellano, A., Back, L., Chen, S., Emanuel, K., Fuchs, Z., Kuang, Z., Mapes, B., Neelin, D., Raymond, D., Sobel, A. H., Staten, P. W., Subramanian, A., Thompson, D., , Vecchi, G., et al. (2018). The Risks of Contracting the Acquisition and Processing of the Nation’s Weather and Climate Data to the Private Sector. Bulletin of the American Meteorological Society, 99(5), 869-870.
• Tang, W., Arellano, A. F., DiGangi, J. P., Choi, Y., Diskin, G. S., Agust'i-Panareda, A., Parrington, M., Massart, S., Gaubert, B., Lee, Y., Kim, D., Jung, J., Hong, J., Hong, J., Kanaya, Y., Lee, M., Stauffer, R. M., Thompson, A. M., Flynn, J. H., & Woo, J. (2018). Evaluating High-Resolution Forecasts of Atmospheric CO and CO2 from a Global Prediction System during KORUS-AQ Field Campaign. Atmospheric Chemistry and Physics, 18(15), 11007-11030. doi:10.5194/acp-18-11007-2018
• Tang, W., Arellano, A. F., Gaubert, B., Miyazaki, K., & Worden, H. M. (2018). Satellite Data Reveals a Common Combustion Emission Pathway for Major Cities in China. Atmospheric Chemistry and Physics Discussions, 2018, 1--27.
• Edwards, D., Worden, H., Neil, D., Francis, G., Valle, T., & Arellano, A. F. (2017). The CHRONOS mission: Capability for sub-hourly synoptic observations of carbon monoxide and methane to quantify emissions and transport of air pollution. Atmospheric Measurement Techniques Discussions. doi:https://doi.org/10.5194/amt-2017-194
• Gaubert, B., Worden, H. M., Arellano, A. F., Emmons, L. K., Tilmes, S., Barre, J., Martinez-Alonso, S., Vitt, F., Anderson, J. L., & Edwards, D. P. (2017). Chemical feedback from decreasing carbon monoxide emissions. Geophysical Research Letters.
• Jiang, Z., Worden, H., Worden, J. R., Henze, D. K., Jones, D., Arellano, A. F., Fischer, E. V., Zhu, L., Miyazaki, K., Boersma, K. F., & Payne, V. H. (2017). Inconsistent decadal variations between surface and free tropospheric nitrogen oxides over United States. Atmospheric Chemistry and Physics Discussions, 2017, 1--27.
• Jiang, Z., Worden, J., Worden, H., Deeter, M., Jones, D., & Arellano, A. F. (2017). Fifteen year CO emission estimates constrained with MOPITT CO measurements. Atmospheric Chemistry and Physics.
• Montan'e, F., Fox, A. M., Arellano, A. F., MacBean, N., Alexander, M. R., Dye, A., Bishop, D. A., Trouet, V., Babst, F., Hessl, A. E., Pederson, N., Blanken, P. D., Bohrer, G., Gough, C. M., Litvak, M. E., Novick, K. A., Phillips, R. P., Wood, J. D., & Moore, D. (2017). Evaluating the effect of alternative carbon allocation schemes in a land surface model~(CLM4.5) on carbon fluxes, pools, and turnover in temperate forests. Geoscientific Model Development, 10(9), 3499--3517.
• Raman, A., & Arellano, A. F. (2017). Characteristic ratios of black carbon with carbon monoxide and nitrogen oxides across the United States. Environmental Science and Technology.
• Silva, S. J., & Arellano, A. F. (2017). Characterizing regional-scale combustion using satellite retrievals of CO, NO2, and CO2. Remote Sensing, 9(7). doi:doi:10.3390/rs9070744
• Arellano, A. F. (2016). Assimilating compact phase space retrievals of atmospheric composition with WRF-Chem/DART: a regional chemical transport/ensemble Kalman filter data assimilation system. Geoscientific Model Development, 9(3), 965-978. doi:10.5194/gmd-9-965-2016
• Barre, J., Edwards, D., Worden, H., Arellano, A. F., Gaubert, B., daSilva, A., Lahoz, W., & Anderson, J. (2016). On the feasibility of monitoring carbon monoxide in the lower troposphere from a constellation of Northern Hemisphere geostationary satellites: Part II. Atmospheric Environment.
• Gaubert, B., Arellano, A. F., Barre, J., Worden, H., Emmons, L., Tilmes, S., Buchholz, R., Wiedinmyer, C., Martinez-Alonso, S., Raeder, K., Collins, N., Anderson, J., Vitt, F., Edwards, D., Andreae, M., Hannigan, J., Petri, C., Strong, K., & Jones, N. (2016). Towards a chemical reanalysis in a coupled chemistry-climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition. Journal of Geophysical Research.
• Raman, A., Arellano, A. F., & Sorooshian, A. (2016). Decreasing Aerosol Loading in the North American Monsoon Region. Atmosphere, 7(2). doi:10.3390/atmos7020024
• Serra, Y., Adams, D., Minjares-Sosa, C., Castro, C., Moker, J., Arellano, A. F., Quintanar, A., Alatorre, L., Granados, A., Vasqueze, E., Holub, K., & DeMets, C. (2016). The North American Monsoon GPS Transect Experiment 2013. Bulletin of the American Meteorological Society.
• Tang, W., & Arellano, A. F. (2017). Investigating the dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures. Journal of Geophysical Research.
• Adams, D. K., Fernandes, R. M., Holub, K. L., Gutman, S. I., Barbosa, H. M., Machado, L. A., Calhlheiros, A. J., Bennett, R. A., Kursinski, E. R., Sapucci, L. F., DeMets, C., Chagas, G. F., Arellano, A., Filizola, N., Rocha, A. A., Silva, R. A., Assuncao, L. M., Cirino, G. G., Pauliquevis, T., , Portela, B. T., et al. (2015). THE AMAZON DENSE GNSS METEOROLOGICAL NETWORK A New Approach for Examining Water Vapor and Deep Convection Interactions in the Tropics. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 96(12), 2151-2165.
• Arellano, A. F. (2015). The characteristics of tropospheric CO2 retrieved by AIRS, GOSAT and IASI in East Asia. Disaster Advances, 8(9), 1-13.
• Barre, J., Gaubert, B., Arellano, A. F., Worden, H. M., Edwards, D. P., Deeter, M. N., Anderson, J. L., Raeder, K., Collins, N., Tilmes, S., Francois, G., Clerbaux, C., Emmons, L. K., Pfister, G. G., Coheur, P., & Hurtmans, D. (2015). Assessing the impacts of assimilating IASI and MOPITT CO retrievals using CESM-CAM-chem and DART. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 120(19).
• Lopez, D. H., Rabbani, M. R., Crosbie, E., Raman, A., Arellano, A. F., & Sorooshian, A. (2016). Frequency and Character of Extreme Aerosol Events in the Southwestern United States: A Case Study Analysis in Arizona. Atmosphere, 7(1).
• Mizzi, A., Arellano, A. F., Edwards, D. P., Anderson, J. L., & Pfister, G. G. (2015). Assimilating Compact Phase Space Retrievals of Atmospheric Composition with WRF-Chem/DART: A Regional Chemical Transport/Ensemble Kalman Filter Data Assimilation System. Geoscientific Model Development Discussion. doi:10.5194/gmdd-8-1-2015
• Moon, Y. S., & Arellano, A. F. (2015). The characteristics of tropospheric CO2 retrieved by AIRS, GOSAT and IASI in East Asia. Disaster Advances, 8(9), 1-13.
• Raman, A., Arellano Jr., A. F., & Brost, J. J. (2014). Revisiting haboobs in the southwestern United States: An observational case study of the 5 July 2011 Phoenix dust storm. Atmospheric Environment, 89, 179-188.
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  Abstract: Convectively-driven dust storms (or haboobs) are common phenomena in the southwestern United States. However, studies about haboobs in this region are limited. Here, we investigate the state and fate of a massive haboob that hit Phoenix, Arizona on 5 July 2011 using satellite, radar, and ground-based observations. This haboob was a result of strong outflow boundaries (with peak wind gusts of 29ms-1) from storms that were initiated in the southeast of Tucson. In particular, we find three major outflow systems (based on radar data) that were generated by forward propagating storms, ultimately merging near Phoenix. This resulted in peak hourly PM10 and PM2.5 concentrations of 1974μgm-3 and 907μgm-3 at US EPA stations near Phoenix. The high PM concentration is consistent in space and time with the dust wall movement based on our analysis of radar data on hydrometeor classification. Enhanced aerosol loadings over metropolitan Phoenix were also observed on 6 July from NASA Terra/Aqua MODIS aerosol optical depth (AOD) retrievals (AOD>0.8). We infer from CALIOP vertical feature masks and HYSPLIT back trajectories that remnants of the haboob were transported to northwest of Phoenix on 6 July at 2-4km above ground level. Ratios of PM2.5 to PM10 from IMPROVE stations also imply low-level transport to the east of Phoenix on 8 July. Finally, we find that this haboob, which had local and regional impacts, is atypical of other dust events in this region. We note from this analysis that extreme events such as this haboob require an integrated air quality observing system to provide a more comprehensive assessment of these events. © 2014 Elsevier Ltd.
• Rosolem, R., Hoar, T., Arellano, A., Anderson, J. L., Shuttleworth, W. J., Zeng, X., & Franz, T. E. (2014). Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale. HYDROLOGY AND EARTH SYSTEM SCIENCES, 18(11), 4363-4379.
• Silva, S. J., Arellano, A. F., & Worden, H. M. (2013). Toward anthropogenic combustion emission constraints from space-based analysis of urban CO₂/CO sensitivity. Geophysical Research Letters, 40(18), 4971-4976.
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  Abstract: We explore the value of multispectral CO retrievals from NASA/Terra Measurement of Pollution In The Troposphere (MOPITT v5), along with Atmospheric CO2 Observations from Space (ACOSv2.9) CO2 retrievals from the Japan Aerospace Exploration Agency Greenhouse Gases Observing Satellite (GOSAT), for characterizing emissions from anthropogenic combustion. We use these satellite retrievals to analyze observed CO2/CO enhancement ratios (ΔCO2/ΔCO) over megacities. Since CO is coemitted with CO2 in anthropogenic combustion, the observed ΔCO 2/ΔCO characterizes the general trend in combustion activity. Our analyses show patterns in ΔCO2/ΔCO that correspond well with the developed/developing status of megacities, and ΔCO 2/ΔCO that agree well with available literature and emission inventories to approximately 20%. Comparisons with ΔCO2/ ΔCO derived from Total Carbon Column Observing Network measurements show similar agreement, where some of the differences in observed ΔCO 2/ΔCO are due to representativeness and limited GOSAT data. Our results imply potential constraints in anthropogenic combustion from GOSAT/MOPITT, particularly in augmenting our carbon monitoring systems. © 2013. American Geophysical Union. All Rights Reserved.
• Worden, H. M., Edwards, D. P., Deeter, M. N., Fu, D., Kulawik, S. S., Worden, J. R., & Arellano, A. (2013). Averaging kernel prediction from atmospheric and surface state parameters based on multiple regression for nadir-viewing satellite measurements of carbon monoxide and ozone. Atmospheric Measurement Techniques, 6(7), 1633-1646.
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  Abstract: A current obstacle to the observation system simulation experiments (OSSEs) used to quantify the potential performance of future atmospheric composition remote sensing systems is a computationally efficient method to define the scene-dependent vertical sensitivity of measurements as expressed by the retrieval averaging kernels (AKs). We present a method for the efficient prediction of AKs for multispectral retrievals of carbon monoxide (CO) and ozone (O3) based on actual retrievals from MOPITT (Measurements Of Pollution In The Troposphere) on the Earth Observing System (EOS)-Terra satellite and TES (Tropospheric Emission Spectrometer) and OMI (Ozone Monitoring Instrument) on EOS-Aura, respectively. This employs a multiple regression approach for deriving scene-dependent AKs using predictors based on state parameters such as the thermal contrast between the surface and lower atmospheric layers, trace gas volume mixing ratios (VMRs), solar zenith angle, water vapor amount, etc. We first compute the singular value decomposition (SVD) for individual cloud-free AKs and retain the first three ranked singular vectors in order to fit the most significant orthogonal components of the AK in the subsequent multiple regression on a training set of retrieval cases. The resulting fit coefficients are applied to the predictors from a different test set of test retrievals cased to reconstruct predicted AKs, which can then be evaluated against the true retrieval AKs from the test set. By comparing the VMR profile adjustment resulting from the use of the predicted vs. true AKs, we quantify the CO and O3 VMR profile errors associated with the use of the predicted AKs compared to the true AKs that might be obtained from a computationally expensive full retrieval calculation as part of an OSSE. Similarly, we estimate the errors in CO and O3 VMRs from using a single regional average AK to represent all retrievals, which has been a common approximation in chemical OSSEs performed to date. For both CO and O3 in the lower troposphere, we find a significant reduction in error when using the predicted AKs as compared to a single average AK. This study examined data from the continental United States (CONUS) for 2006, but the approach could be applied to other regions and times. © 2013 Author(s).
• Youn, J., Wang, Z., Wonaschuetz, A., Arellano, A., Betterton, E. A., & Sorooshian, A. (2013). Evidence of aqueous secondary organic aerosol formation from biogenic emissions in the North American Sonoran Desert. GEOPHYSICAL RESEARCH LETTERS, 40(13), 3468-3472.
• Hyer, E. J., Wang, J., & Arellano, A. F. (2012). Biomass Burning - Observations, Modeling, and Data Assimilation. Bulletin of the American Meteorological Society. doi:10.1175/BAMS-D-11-00064.1
• Friedli, H. R., Arellano Jr., A. F., Geng, F., Cai, C., & Pan, L. (2011). Measurements of atmospheric mercury in Shanghai during September 2009. Atmospheric Chemistry and Physics, 11(8), 3781-3788.
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  Abstract: We report on total gaseous mercury (TGM) measurements made in Pudong, Shanghai in August/September 2009. The average TGM was 2.7 ± 1.7 ng mg-3. This represents about 90% of the total atmospheric mercury. This is an underestimate for an annual-mean concentration because the meteorology in September favored predominantly easterly oceanic air, replaced in other seasons by airflow from industrial areas. The observed TGM follows a pattern seen in other cities around the world: a background elevated over mean hemispheric background (1.5 ng m-3), and pollution plumes of different magnitude and duration, interspersed with very sharp spikes of high concentration (60 ng mg-3). The September 2009 Shanghai measurements are lower than those reported for most other Chinese cities and Mexico City, and similar to concentrations found in some Asian and in North American cities. Such comparisons are tenuous because of differences in season and year of the respective measurements. Our results should not be used for regulatory purposes. We find that the observed TGM are most likely coming from coal fired power plants, smelters and industrial sources, based on its high correlation with NOx, SO2, CO and wind directions. © 2011 Author(s).
• Arellano Jr., A. F., Hess, P. G., Edwards, D. P., & Baumgardner, D. (2010). Constraints on black carbon aerosol distribution from Measurement of Pollution in the Troposphere (MOPITT) CO. Geophysical Research Letters, 37(17).
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  Abstract: We present an approach to constrain simulated atmospheric black carbon (BC) using carbon monoxide (CO) observations. The approach uses: (1) the Community Atmosphere Model with Chemistry to simulate the evolution of BC and CO within an ensemble of model simulations; (2) satellite CO retrievals from the MOPITT/Terra instrument to assimilate observed CO into these simulations; (3) the derived sensitivity of BC to CO within these simulations to correct the simulated BC distributions. We demonstrate the performance of this approach through model experiments with and without the BC corrections during the period coinciding with the Intercontinental Chemical Transport Experiment (INTEX-B). Our results show significant improvements (∼50%) in median BC profiles using constraints from MOPITT, based on comparisons with INTEX-B measurements. We find that assimilating MOPITT CO provides considerable impact on simulated BC concentrations, especially over source regions. This approach offers an opportunity to augment our current ability to predict BC distributions. © 2010 by the American Geophysical Union.
• Pfister, G., Emmons, L. K., Edwards, D. P., Arellano, A., Sachse, G., & Campos, T. (2010). Variability of springtime transpacific pollution transport during 2000-2006: The INTEX-B mission in the context of previous years. Atmospheric Chemistry and Physics, 10(3), 1345-1359.
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  Abstract: We analyze the transport of pollution across the Pacific during the NASA INTEX-B (Intercontinental Chemical Transport Experiment Part B) campaign in spring 2006 and examine how this year compares to the time period for 2000 through 2006. In addition to aircraft measurements of carbon monoxide (CO) collected during INTEX-B, we include in this study multi-year satellite retrievals of CO from the Measurements of Pollution in the Troposphere (MOPITT) instrument and simulations from the chemistry transport model MOZART-4. Model tracers are used to examine the contributions of different source regions and source types to pollution levels over the Pacific. Additional modeling studies are performed to separate the impacts of inter-annual variability in meteorology and dynamics from changes in source strength. Interannual variability in the tropospheric CO burden over the Pacific and the US as estimated from the MOPITT data range up to 7% and a somewhat smaller estimate (5%) is derived from the model. When keeping the emissions in the model constant between years, the year-to-year changes are reduced (2%), but show that in addition to changes in emissions, variable meteorological conditions also impact transpacific pollution transport. We estimate that about 1/3 of the variability in the tropospheric CO loading over the contiguous US is explained by changes in emissions and about 2/3 by changes in meteorology and transport. Biomass burning sources are found to be a larger driver for inter-annual variability in the CO loading compared to fossil and biofuel sources or photochemical CO production even though their absolute contributions are smaller. Source contribution analysis shows that the aircraft sampling during INTEX-B was fairly representative of the larger scale region, but with a slight bias towards higher influence from Asian contributions.
• Prabhakar, G., Sorooshian, A., Toffol, E., Arellano, A. F., & Betterton, E. A. (2014). Spatiotemporal distribution of airborne particulate metals and metalloids in a populated arid region. ATMOSPHERIC ENVIRONMENT, 92, 339-347.
• Anderson, J., Hoar, T., Raeder, K., Liu, H., Collins, N., Torn, R., & Avellano, A. (2009). THE DATA ASSIMILATION RESEARCH TESTBED A Community Facility. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 90(9), 1283-1296.
• Edwards, D. P., Arellano Jr., A. F., & N., M. (2009). A satellite observation system simulation experiment for carbon monoxide in the lowermost troposphere. Journal of Geophysical Research D: Atmospheres, 114(14).
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  Abstract: We demonstrate the feasibility of using observing system simulation experiment (OSSE) studies to help define quantitative trace gas measurement requirements for satellite missions and to evaluate the expected performance of proposed observing strategies. The 2007 U.S. National Research Council Decadal Survey calls for a geostationary (GEO) satellite mission for atmospheric composition and air quality applications (Geostationary Coastal and Air Pollution Events Mission (GEO-CAPE)). The requirement includes a multispectral (near-infrared and thermal infrared) measurement of carbon monoxide (CO) at high spatiotemporal resolution with information on lowermost troposphere concentration. We present an OSSE to assess the improvement in surface CO characterization that would result from the addition of a GEO-CAPE CO measurement to current low Earth orbit (LEO) thermal infrared-only measurements. We construct instrument simulators for these two measurement scenarios and study the case of July 2004 when wildfires in Alaska and Canada led to significant CO pollution over the contiguous United States. Compared to a control experiment, an ensemble-based data assimilation of simulated satellite observations in a global model leads to improvements in both the surface CO distributions and the time evolution of CO profiles at locations affected by wildfire plumes and by urban emissions. In all cases, an experiment with the GEO-CAPE CO measurement scenario (overall model skill of 0.84) performed considerably better than the experiment with the current LEO/thermal infrared measurement (skill of 0.58) and the control (skill of 0.07). This demonstrates the advantages of increased sampling from GEO and enhanced measurement sensitivity to the lowermost troposphere with a multispectral retrieval. Copyright 2009 by the American Geophysical Union.
• Friedli, H. R., Arellano Jr., A. F., Cinnirella, S., & Pirrone, N. (2009). Mercury emissions from global biomass burning: Spatialand temporal distribution. Mercury Fate and Transport in the Global Atmosphere: Emissions, Measurements and Models, 193-220.
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  Abstract: This chapter represents a new addition to the UNEP global mercury budget: the mercury emissions from biomass burning, here defined as emissions from wildfires and prescribed burns, and excluding contributions from bio-fuel consumption and charcoal production and use. The results cover the 1997-2006 timeframe. The average annual global mercury emission estimate from biomass burning for 1997-2006 is 675 ± 240 Mg yr-1. This accounts for 8% of all current anthropogenic and natural emissions. The largest Hg emissions are from tropical and boreal Asia, followed by Africa and South America. They do not coincide with the largest carbon biomass burning emissions, which originate from Africa. Our methodology for budget estimation is based on a satellite-constrained bottom-up global carbon fire emission database (GFED version 2), which divides the globe into regions with similar ecosystems and burn behaviour. To estimate mercury emissions, the carbon model output is paired with regional emission factors for Hg, EF(Hg). There are large uncertainties in the budget estimation associated with burned area, fuel mass, and combustion completeness. The discrepancy between the model and traditional ground based assessments (e.g. FRA, 2000) is unacceptably large at this time. Of great urgency is the development and validation of a model for mercury cycling in forests, accounting for the biogeochemistry for each region. This would provide an understanding of the source/sink relationship and thus mercury accumulation or loss in ecosystems. Limiting the burning of tropical and boreal forests would have two beneficial effects: reducing the source of mercury releases to the atmosphere from burning, and maintaining a sink for atmospheric mercury. Restricting the global release mercury would reduce the vegetation/soil pools, and the potential Hg release in case of fire. © 2009 Springer-Verlag New York.
• Friedli, H. R., Arellano, A. F., Cinnirella, S., & Pirrone, N. (2009). Initial estimates of mercury emissions to the atmosphere from global biomass burning. Environmental Science and Technology, 43(10), 3507-3513.
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  PMID: 19544847;Abstract: The average global annual mercury emission estimate from biomass burning (BMB) for 1997-2006 is 675 ± 240 Mg/year. This is equivalent to 8% of all currently known anthropogenic and natural mercury emissions. By season, the largest global emissions occur in August and September, the lowest during northern winters. The interannual variability is large and region-specific, and responds to drought conditions. During this particular time period, the largest mercury emissions are from tropical and boreal Asia, followed by Africa and South America. They do not coincide with the largest carbon biomass burning emissions, which originate from Africa. Frequently burning grasslands in Africa and Australia, and agricultural waste burning globally, contribute relatively little to the mercury budget. The released mercury from BMB is eventually deposited locally and globally and contributes to the formation of toxic bioaccumulating methyl mercury. Furthermore, increasing temperature in boreal regions, where the largest soil mercury pools reside, is expected to exacerbate mercury emission because of more frequent, larger, and more intense fires. © 2009 American Chemical Society.
• Malmberg, A., Arellano, A., Edwards, D. P., Flyer, N., Nychka, D., & Wikle, C. (2008). Interpolating fields of carbon monoxide data using a hybrid statistical-physical model. Annals of Applied Statistics, 2(4), 1231-1248.
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  Abstract: Atmospheric Carbon Monoxide (CO) provides a window on the chemistry of the atmosphere since it is one of few chemical constituents that can be remotely sensed, and it can be used to determine budgets of other greenhouse gases such as ozone and OH radicals. Remote sensing platforms in geostationary Earth orbit will soon provide regional observations of CO at several vertical layers with high spatial and temporal resolution. However, cloudy locations cannot be observed and estimates of the complete CO concentration fields have to be estimated based on the cloud-free observations. The current state-of-the-art solution of this interpolation problem is to combine cloud-free observations with prior information, computed by a deterministic physical model, which might introduce uncertainties that do not derive from data. While sharing features with the physical model, this paper suggests a Bayesian hierarchical model to estimate the complete CO concentration fields. The paper also provides a direct comparison to state-of-the-art methods. To our knowledge, such a model and comparison have not been considered before. © Institute of Mathematical Statistics.
• Arellano Jr., A. F., Raeder, K., Anderson, J. L., Hess, P. G., Emmons, L. K., Edwards, D. P., Pflster, G. G., Campos, T. L., & Sachse, G. W. (2007). Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission. Atmospheric Chemistry and Physics, 7(21), 5695-5710.
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  Abstract: We present a global chemical data assimilation system using a global atmosphere model, the Community Atmosphere Model (CAM3) with simplified chemistry and the Data Assimilation Research Testbed (DART) assimilation package. DART is a community software facility for assimilation studies using the ensemble Kalman filter approach. Here, we apply the assimilation system to constrain global tropospheric carbon monoxide (CO) by assimilating meteorological observations of temperature and horizontal wind velocity and satellite CO retrievals from the Measurement of Pollution in the Troposphere (MOPITT) satellite instrument. We verify the system performance using independent CO observations taken on board the NSF/NCAR C-130 and NASA DC-8 aircrafts during the April 2006 part of the Intercontinental Chemical Transport Experiment (INTEX-B). Our evaluations show that MOPITT data assimilation provides significant improvements in terms of capturing the observed CO variability relative to no MOPITT assimilation (i.e. the correlation improves from 0.62 to 0.71, significant at 99% confidence). The assimilation provides evidence of median CO loading of about 150 ppbv at 700 hPa over the NE Pacific during April 2006. This is marginally higher than the modeled CO with no MOPITT assimilation (∼ 140 ppbv). Our ensemble-based estimates of model uncertainty also show model overprediction over the source region (i.e. China) and underprediction over the NE Pacific, suggesting model errors that cannot be readily explained by emissions alone. These results have important implications for improving regional chemical forecasts and for inverse modeling of CO sources and further demonstrate the utility of the assimilation system in comparing non-coincident measurements, e.g. comparing satellite retrievals of CO with in-situ aircraft measurements.
• Bian, H., Chin, M., Kawa, S. R., Duncan, B., Arellano, A., & Kasibhatla, P. (2007). Sensitivity of global CO simulations to uncertainties in biomass burning sources. Journal of Geophysical Research D: Atmospheres, 112(23).
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  Abstract: One of the largest uncertainties for the modeling of tropospheric carbon monoxide (CO) concentration is the timing, location, and magnitude of biomass burning emissions. We investigate the sensitivity of simulated CO in the Unified Chemistry Transport Model (UCTM) to several biomass burning emissions, including four bottom-up and two top-down inventories. We compare the sensitivity experiments with observations from MOPITT, surface and airborne NOAA Global Monitoring Division network data, and the TRACE-P field campaign. The variation of the global annual emissions of these six biomass burning inventories is within 30%; however, their regional variations are often much higher (factor of 2-5). These uncertainties translate to about 6% variation in the global simulated CO but more than a 100% variation in some regions. The annual mean CO variation is greater in the Southern Hemisphere (>12%) than in the Northern Hemisphere (
• Arellano Jr., A. F., & Hess, P. G. (2006). Sensitivity of top-down estimates of CO sources to GCTM transport. Geophysical Research Letters, 33(21).
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  Abstract: Estimates of CO sources derived from inversions using satellite observations still exhibit discrepancies. Here, we conduct controlled inverse analyses to elucidate the influence of model transport on the robustness of regional CO source estimates. We utilized Model of Ozone and Related chemical Tracers global chemical transport models (GCTM) driven by National Centers for Environmental Prediction and European Centre for Medium-Range Weather Forecast reanalyses, and GEOS-Chem GCTM driven by Global Modeling and Assimilation Office assimilated meteorology to generate response functions for prescribed regional CO sources. We find that inter-model differences in CO due to differences in transport are within 10-30% of inter-model mean CO concentration. However, these differences can translate to regionally significant spread in source estimates. While we find that CO source estimates for East Asia and North Africa are reasonably robust, we find inconsistencies and inter-model spread of greater than 40% in our source estimates for Indonesia, South America, Europe and Russia. This indicates the need for rigorous assessment on uncertainties in top-down source estimates through model inter-comparisons and ensemble approaches. Copyright 2006 by the American Geophysical Union.
• Arellano Jr., A. F., Kasibhatla, P. S., Giglio, L., R., G., Randerson, J. T., & Collatz, G. J. (2006). Time-dependent inversion estimates of global biomass-burning CO emissions using Measurement of Pollution in the Troposphere (MOPITT) measurements. Journal of Geophysical Research D: Atmospheres, 111(9).
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  Abstract: We present an inverse-modeling analysis of CO emissions using column CO retrievals from the Measurement of Pollution in the Troposphere (MOPITT) instrument and a global chemical transport model (GEOS-CHEM). We first focus on the information content of MOPITT CO column retrievals in terms of constraining CO emissions associated with biomass burning and fossil fuel/biofuel use. Our analysis shows that seasonal variation of biomass-burning CO emissions in Africa, South America, and Southeast Asia can be characterized using monthly mean MOPITT CO columns. For the fossil fuel/biofuel source category the derived monthly mean emission estimates are noisy even when the error statistics are accurately known, precluding a characterization of seasonal variations of regional CO emissions for this source category. The derived estimate of CO emissions from biomass burning in southern Africa during the June-July 2000 period is significantly higher than the prior estimate (prior, 34 Tg; posterior, 13 Tg). We also estimate that emissions are higher relative to the prior estimate in northern Africa during December 2000 to January 2001 and lower relative to the prior estimate in Central America and Oceania/Indonesia during April-May and September-October 2000, respectively. While these adjustments provide better agreement of the model with MOPITT CO column fields and with independent measurements of surface CO from National Oceanic and Atmospheric Administration Climate Monitoring and Diagnostics Laboratory at background sites in the Northern Hemisphere, some systematic differences between modeled and measured CO fields persist, including model overestimation of background surface CO in the Southern Hemisphere. Characterizing and accounting for underlying biases in the measurement model system are needed to improve the robustness of the top-down estimate. Copyright 2006 by the American Geophysical Union.
• Friedli, H. R., Arellano, A. F., Cinnirella, S., Pirrone, N., Pirrone, N., & Mason, R. (2006). Mercury Emissions from Global Biomass Burning: Spatial and Temporal Distribution. MERCURY FATE AND TRANSPORT IN THE GLOBAL ATMOSPHERE, 193-220.
• Van, G., Randerson, J. T., Giglio, L., Collatz, G. J., Kasibhatla, P. S., & Arellano Jr., A. F. (2006). Interannual variability in global biomass burning emissions from 1997 to 2004. Atmospheric Chemistry and Physics, 6(11), 3423-3441.
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  Abstract: Biomass burning represents an important source of atmospheric aerosols and greenhouse gases, yet little is known about its interannual variability or the underlying mechanisms regulating this variability at continental to global scales. Here we investigated fire emissions during the 8 year period from 1997 to 2004 using satellite data and the CASA biogeochemical model. Burned area from 2001-2004 was derived using newly available active fire and 500 m. burned area datasets from MODIS following the approach described by Giglio et al. (2006). ATSR and VIRS satellite data were used to extend the burned area time series back in time through 1997. In our analysis we estimated fuel loads, including organic soil layer and peatland fuels, and the net flux from terrestrial ecosystems as the balance between net primary production (NPP), heterotrophic respiration (Rh), and biomass burning, using time varying inputs of precipitation (PPT), temperature, solar radiation, and satellite-derived fractional absorbed photosynthetically active radiation (fAPAR). For the 1997-2004 period, we found that on average approximately 58 Pg C year -1 was fixed by plants as NPP, and approximately 95% of this was returned back to the atmosphere via Rh. Another 4%, or 2.5 Pg C year-1 was emitted by biomass burning; the remainder consisted of losses from fuel wood collection and subsequent burning. At a global scale, burned area and total fire emissions were largely decoupled from year to year. Total carbon emissions tracked burning in forested areas (including deforestation fires in the tropics), whereas burned area was largely controlled by savanna fires that responded to different environmental and human factors. Biomass burning emissions showed large interannual variability with a range of more than 1 Pg C year-1, with a maximum in 1998 (3.2 Pg C year -1) and a minimum in 2000 (2.0 Pg C year-1).
• Arellano Jr., A. F., Kasibhatla, P. S., Giglio, L., R., G., & Randerson, J. T. (2004). Top-down estimates of global CO sources using MOPITT measurements. Geophysical Research Letters, 31(1), L01104 1-5.
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  Abstract: We present a synthesis inversion of CO emissions from various geographical regions and for various source categories for the year 2000 using CO retrievals from the MOPITT (Measurements of Pollution in the Troposphere) instrument. We find a large discrepancy between our top-down estimates and recent bottom-up estimates of CO emissions from fossil fuel/biofuel (FFBF) use in Asia. A key conclusion of this study is that CO emissions in East Asia (EAS) are about a factor of 1.8-2 higher than recent bottom-up estimates. Copyright 2004 by the American Geophysical Union.
• R., G., Randerson, J. T., Collatz, G. J., Giglio, L., Kasibhatla, P. S., Arellano Jr., A. F., Olsen, S. C., & Kasischke, E. S. (2004). Continental-Scale Partitioning of Fire Emissions during the 1997 to 2001 El Niño/La Niña Period. Science, 303(5654), 73-76.
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  PMID: 14704424;Abstract: During the 1997 to 1998 El Niño, drought conditions triggered widespread increases in fire activity, releasing CH4 and CO 2 to the atmosphere. We evaluated the contribution of fires from different continents to variability in these greenhouse gases from 1997 to 2001, using satellite-based estimates of fire activity, biogeochemical modeling, and an inverse analysis of atmospheric CO anomalies. During the 1997 to 1998 El Niño, the fire emissions anomaly was 2.1 ± 0.8 petagrams of carbon, or 66 ± 24% of the CO2 growth rate anomaly. The main contributors were Southeast Asia (60%), Central and South America (30%), and boreal regions of Eurasia and North America (10%).
• Koe, L. C., F., A., & McGregor, J. L. (2003). Application of DARLAM to regional haze modeling. Pure and Applied Geophysics, 160(1-2), 189-204.
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  Abstract: The CSIRO Division of Atmospheric Research limited area model (DARLAM) is applied to atmospheric transport modeling of haze in southeast Asia. The 1998 haze episode is simulated using an emission inventory derived from hotspot information and adopting removal processes based on SO2. Results show that the model is able to simulate the transport of haze in the region. The model images closely resemble the plumes of NASA Total Ozone Mapping Spectrometer and Meteorological Service Singapore haze maps. Despite the limitation of input data, particularly for haze emissions, the three-month average pattern correlation obtained for the whole episode is 0.61. The model has also been able to reproduce the general features of transboundary air pollution over a long period of time. Predicted total particulate matter concentration also agrees reasonably well with observation. The difference in the model results from the satellite images may be attributed to the large uncertainties of emission, simplification of haze deposition and transformation mechanisms and the relatively coarse horizontal and vertical resolution adopted for this particular simulation.
• Kasibhatla, P., Arellano, A., Logan, J. A., Palmer, P. I., & Novelli, P. (2002). Top-down estimate of a large source of atmospheric carbon monoxide associated with fuel combustion in Asia. Geophysical Research Letters, 29(19), 6-1.
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  Abstract: Deriving robust regional estimates of the sources of chemically and radiatively important gases and aerosols to the atmosphere is challenging. Here, we focus on carbon monoxide. Using an inverse modeling methodology, we find that the source of carbon monoxide from fossil-fuel and biofuel combustion in Asia during 1994 was 350-380 Tg yr-1, which is 110-140 Tg yr-1 higher than bottom-up estimates derived using traditional inventory-based approaches. This discrepancy points to an important gap in our understanding of the human impact on atmospheric chemical composition.
• Koe, L. C., Arellano Jr., A. F., & McGregor, J. L. (2001). Investigating the haze transport from 1997 biomass burning in Southeast Asia: Its impact upon Singapore. Atmospheric Environment, 35(15), 2723-2734.
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  Abstract: The 1997 Indonesia forest fires was an environmental disaster of exceptional proportions. Such a disaster caused massive transboundary air pollution and indiscriminate destruction of biodiversity in the world. The immediate consequence of the fires was the production of large amounts of haze in the region, causing visibility and health problems within Southeast Asia. Furthermore, fires of these magnitudes are potential contributors to global warming and climate change due to the emission of large amounts of greenhouse gases and other pyrogenic products.The long-range transport of fire-related haze in the region is investigated using trajectories from the CSIRO Division of Atmospheric Research Limited Area Model (DARLAM). Emission scenarios were constructed for hotspot areas in Sumatra and Kalimantan for the months of September and October 1997 to determine the period and fire locations most critical to Singapore. This study also examines some transport issues raised from field observations. Results show that fires in the coastal areas of southeast Sumatra and southwest Kalimantan can be potential contributors to transboundary air pollution in Singapore. Singapore was directly affected by haze from these areas whereas Kuala Lumpur was heavily affected by the haze coming from Sumatra. In most cases, Singapore was more affected by fires from Kalimantan than was Kuala Lumpur. This was mainly a result of the shifting of monsoons. The transition of monsoons resulted in weaker low-level winds and shifted convergence zones near to the southeast of Peninsular Malaysia. In addition to severe drought and massive fire activity in 1997, the timing of the monsoon transition has a strong influence on haze transport in the region. Copyright © 2001 Elsevier Science Ltd.

Presentations

• Arellano, A. F. (2019, August). Exploring Multiple Observational and Modeling Constraints on Anthropogenic Pollution over Megacities and Biomass Burning Regions: Opportunities and Challenges in Improving Emissions Inventories. 2019 Panorama Actual De las Ciencias Atmosféricas. National Autonomous University of Mexico (UNAM), Mexico City, Mexico: UNAM.
• Arellano, A. F. (2019, August). Substantiating Key Synergies Between Air Quality (AQ) and Greenhouse Gas (GHG) Monitoring from Space: A case for anthropogenic CO2 and CH4 constraints from CO and NO2. Special Seminar, Dept. of Physics, Univ. of Toronto. Toronto, CA.
• Arellano, A. F. (2019, June). Investigating the Utility of CO2 and CO Analysis in Tracking Fossil Fuel CO2. CEOS AC-VC-15: The 15th Meeting of the Atmospheric Composition Virtual Constellation. Tokyo, Japan: JAXA.
• Arellano, A. F. (2019, September). Towards the Identification of Emergent Properties in Atmospheric Composition using Satellite Data. NCAR Frontiers of Atmospheric Science and Chemistry: Integration of Novel Applications and Technological Endeavors (FASCINATE). Boulder, CO: NCAR.
• Arellano, A. F., Gaubert, B., Miyazaki, K., Inness, A., Jiang, Z., Zheng, B., Flemming, J., & Yin, Y. (2019, June). Trends in Carbon Monoxide Abundance as Inferred from an Ensemble of Chemical Reanalyses and their Implications to Air Quality/Greenhouse Gas Emissions Monitoring. 8th International Symposium on Non-CO2 Greenhouse Gases (NCGG8). Amsterdam, The Netherlands: VVM.
• Arellano, A. F., Tang, W., & Gaubert, B. (2020, January). Anthropogenic Carbon Emission Constraints from CO and NO2 Data Streams. 22nd Conference on Atmospheric Chemistry/100th AMS Annual Meeting. Boston, MA: AMS.
• Brocchi, V., Arellano, A. F., Tang, W., & Gaubert, B. (2019, December). Understanding Anthropogenic Combustion in Major Cities of Africa from Multiple Data Streams. 2019 AGU Fall Meeting. San Francisco: AGU.
• Castro, C. L., Adams, D. K., Arellano, A. F., Quintanar, A. I., Ochoa-Moya, C., Minjarez-Sosa, C. M., Rodriguez, J., Lizarraga, C., Vivoni, E., Perez-Ruiz, E., Robles, A., Risanto, C. B., Chang, H. I., Mendoza-Fierro, L., & Moker, Jr., J. M. (2019, January). A New Hydrometeorological Testbed in Northern Mexico for Improved Weather Forecasts and Climate Monitoring. 99th Annual American Meteorological Society Meeting.
• Castro, C. L., Risanto, C. B., Moker, Jr., J. M., Arellano, A. F., Adams, D. K., & Mendoza-Fierro, L. (2019, January). CAZMEX 2017: Improving Monsoon Precipitation Forecasts in Northwest Mexico and Southwest United States. 99th Annual American Meteorological Society Meeting.
• Risanto, C. B., Castro, C. L., Arellano, A. F., Fierro, L. M., & Moker, J. M. (2020, January). Forecasting North American Monsoon Precipitation with Data Assimilation. 24th Conference on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface (IOAS-AOLS)/100th AMS Annual Meeting,. Boston, MA: AMS.
• Arellano, A. F. (2018, July/Summer). Emerging Patterns of O3 Sensitivity to CO over Megacities Derived from Satellite Retrievals. JAMSTEC RCGC/IACE/Big-Data seminar. Yokohama, Japan: JAMSTEC.
• Arellano, A. F. (2018, July/Summer). Observational Constraints of Anthropogenic Combustion from Space: Opportunities for Monitoring Efficiency,. Japan Agency for Marine-Earth Science and Technology Air Quality-Greenhouse Gases (AQ-GHG) Joint Meeting. Tokyo, Japan: JAMSTEC.
• Arellano, A. F. (2018, March/Spring). Impact of Total Column Water Vapor Measurements on Short-to-Medium-Range Forecasts of North American Monsoon Precipitation. InSAR​ ​Meteorology​ ​Workshop. Univ. of Miami, FL: NASA.
• Arellano, A. F. (2018, May/Spring). Observational Constraints of Anthropogenic Combustion from Space: Opportunities for Monitoring Efficiency. Committee on Earth Observation Satellites (CEOS) Atmospheric Composition (AC) Virtual Constellation GEOCAPE Joint Meeting. College Park, MD: CEOS.
• Arellano, A. F., Clerbaux, C., Boynard, A., George, M., Wespes, C., & Hadji-Lazaro, J. (2018, April/Spring). Emerging Patterns of O3 Sensitivity to CO over Megacities Derived from Satellite Retrievals. European Geophysical Union General Assembly. Vienna, Austria: EGU.
• Arellano, A. F., Gaubert, B., Miyazaki, K., Inness, A., Jiang, Z., Zheng, B., Flemming, J., & Yin, Y. (2019, January). Long-term Changes in Carbon Monoxide Abundance as Inferred from an Ensemble of Chemical Reanalysis. AMS 99th Annual Meeting. Phoenix, AZ: AMS.
• Tang, W., Emmons, L., Arellano, A. F., & Gaubert, B. (2018, June/Summer). CO Source Contributions and Combustion Characteristics during KORUS-AQ. Asia Oceania Geosciences Society (AOGS) Annual Meeting. Honolulu, Hawaii: AOGS.
• Tang, W., Gaubert, B., Arellano, A. F., Emmons, L. K., DiGangi, J., Choi, Y., & Diskin, G. (2018, December/Fall). Tracking Fossil Fuel Emissions in East Asia by Combining Model Simulations, Satellite Observations, and Field Measurements of the CO-to-CO2 Ratio. 2018 American Geophysical Union Fall Meeting. Washington D.C.: AGU.
• Arellano, A. F. (2017, November). On the Nexus Between Carbon Cycle and Air Quality: Exploring Multiple Constraints on Anthropogenic Combustion and Fires. ECMWF Seminar Series. Reading, UK: ECMWF.
• Arellano, A. F. (2017, November). On the Nexus Between Carbon Cycle and Air Quality: Exploring Multiple Constraints on Anthropogenic Combustion and Fires. LATMOS Seminar Series. UPMC, Paris France: LATMOS.
• Arellano, A. F. (2017, September). Confronting Recent Chemical Reanalyses with Satellite Data on Combustion Characteristics Over Megacities,. 18th GEIA Conference. Hamburg, Germany: IGAC/GEIA.
• Arellano, A. F., & Tang, W. (2017, December). Sensitivity of CAM-Chem/DART MOPITT CO Assimilation Performance to the Choice of Ensemble System Configuration: A Case Study for Fires in the Amazon. 2017 AGU Fall Meeting. New Orleans, LA: AGU.
• Arellano, A. F., Tang, W., Silva, S., & Raman, A. (2017, December). Exploring Multiple Constraints of Anthropogenic Pollution. 2017 AGU Fall Meeting. New Orleans, LA: AGU.
• Arellano, A. F., Tang, W., Silva, S., & Raman, A. (2018, January). Exploring Multiple Constraints of Anthropogenic Pollution in Combustion Regions from Current Satellite Retrievals of Atmospheric Composition. 20th Conference on Atmospheric Chemistry, AMS 98th Annual Meeting. Austin, Texas: AMS.
• Choi, Y., DiGangi, J., Diskin, G., Novak, J., Halliday, H., Pushed, S., Arellano, A. F., Tang, W., Knote, C., Woo, J., Lee, Y., Bu, C., Blake, D., Simpson, I., Blake, N., & Xu, X. (2017, December). Atmospheric Observations of Carbon Dioxide and Quantification of Fossil Fuel Carbon Dioxide and Emission Inventories using Radiocarbon in the Korean Peninsula during the KORUS-AQ Field Campaign. 2017 AGU Fall Meeting. New Orleans, LA: AGU.
• Gaubert, B., Emmons, L., Miyazaki, K., Buchholz, R., Tang, W., Arellano, A. F., Tilmes, S., Barre, J., Worden, H., Raeder, K., Anderson, J., & Edwards, D. (2017, December). Diagnostics of sources of tropospheric ozone using data assimilation during the KORUS-AQ campaign. 2017 AGU Fall Meeting. New Orleans, LA: AGU.
• Smith, W. K., Arellano, A. F., Barnes, M. L., Hudson, A. R., Montane, F., Fox, A. M., & Moore, D. J. (2017, Aug). Combining models and data to understand vegetation function across timescales. 102nd Annual Meeting of the Ecological Society of America. Portland, OR: ESA.
• Arellano, A. F. (2016, April). Data Assimilation for Monsoon Hydrometeorological Studies. UC-MEXUS Meeting.
• Arellano, A. F. (2016, August). Air Quality Data Assimilation: Methods Part 1. NCAR Advance Study Program Summer Colloquium on Advances in Air Quality Analysis and Prediction: The Interaction of Science and Policy.
• Arellano, A. F. (2016, August). Emission Estimation- State Augmentation. NCAR Advance Study Program Summer Colloquium on Advances in Air Quality Analysis and Prediction: The Interaction of Science and Policy.
• Arellano, A. F., Raman, A., Brost, J., & Sorooshian, A. (2016, December). Modeling and observations of dust aerosols during the North American Monsoon. AGU 2016 Fall Meeting.
• Edwards, D., Barre, J., Worden, H., & Arellano, A. F. (2016, September). Quantifying wildfire emissions and associated aerosols species using assimilation of satellite carbon monoxide retrievals. 2016 International Global Atmospheric Chemistry (IGAC) Project Science Conference.
• Raman, A., Arellano, A. F., & Kuma, R. (2016, December). Estimating black carbon concentrations from combustion tracers: synergistic perspective using in-situ measurements, multi-satellite retrievals, and chemical transport model. AGU 2016 Fall Meeting.
• Arellano, A. F. (2015, December). Inverse Modeling of BC and CO Sources in WRF-Chem. 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Arellano, A. F. (2015, June). Data Assimilation in the NAM Region: Challenges and Opportunities. 3rd Meeting of Regional Meteorology Climatology and Northwest Mexico. Universidad Nacional Autónoma de México, Mexico City: UNAM.
• Arellano, A. F. (2015, November). Top-down Estimates of Combustion Characteristics Over Megacities and Major Fire Regions. 17th GEIA: Global Emissions Initiative Conference (Influence of Urbanization on Emissions Worldwide). Tsinghua University, Beijing China: GEIA.
• Arellano, A. F. (2015, October). Towards Seamless Prediction of Chemical Weather. UA GIDP Statistics Collquium. Tucson, AZ: GIDP Statistics.
• Knote, C., Barre, J., Eckl, M., Hornbrook, R., Wiedinmyer, C., Emmons, L., Orlando, J., Tyndall, G., & Arellano, A. F. (2015, December). Inferring the unobserved chemical state of the atmosphere: idealized data assimilation experiments. 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Rosolem, R., Hoar, T., Arellano, A. F., Anderson, J., Shuttleworth, W., Zeng, X., & Franz, T. (2014, December). Translating above-ground cosmic-ray neutron intensity to high-frequency soil moisture profile at sub-kilometer scale. 2014 AGU Fall Meeting. San Francisco, CA: AGU.
• Tang, W., Arellano, A. F., Raman, A., & Deeter, M. (2015, April). A Comparative Analysis on the Temporal and Spatial Distribution of Fire Characteristics in the Amazon and Equatorial Southern Africa Using Observations from Space. 2015 EGU Meeting. Vienna, Austria: EGU.
• Arellano, A. F., & Silva, S. (2014, April). Combustion signatures as seen from space: Implications for tracking anthropogenic CO2. OCO-2 Applications Workshop. Maryland, MD: NASA.
• Arellano, A. F., Raman, A., & Chatterjee, A. (2015, January). Comparison of algorithms for assimilating satellite partial column retrievals from MOPITT and IASI with WRF-Chem/DART. AMS 95th Annual Meeting. Phoenix, Arizona: AMS.
• Barre, J., Edwards, D., Arellano, A. F., Gaubert, B., Worden, H., Anderson, J., & Mizzi, A. (2014, December). Assessment of IASI CO and MOPITT CO Data Assimilation in CAM-Chem. 2014 AGU Fall Meeting. San Francisco, CA: AGU.
• Barre, J., Gaubert, B., Arellano, A. F., Worden, H., Edwards, D., Tilmes, S., Collins, N., Raeder, K., & Mizzi, A. (2014, August). Multivariate chemical data assimilation and chemistrydynamics interaction. World Weather Open Science 2014. Montreal, Canada: WMO.
• Edwards, D., Barre, J., Worden, H., Arellano, A. F., Gaubert, B., Anderson, J., & Mizzi, A. (2014, December). The atmospheric composition geostationary satellite constellation for air quality and climate science: Evaluating performance with Observation System Simulation Experiments. 2014 AGU Fall Meeting. San Francisco, CA: AGU.
• Gaubert, B., Arellano, A. F., Barre, J., Worden, H., Emmons, L., Wiedinmyer, C., Anderson, J., Mizzi, A., & Edwards, D. (2014, December). Optimizing global CO concentrations and emissions based on DART/CAM-CHEM. 2014 AGU Fall Meeting. San Francisco, CA: AGU.
• Gaubert, B., Barre, J., Worden, H., Edwards, D., Emmons, L., Tilmes, S., Mizzi, A., Arellano, A. F., Anderson, J., & Collins, N. (2014, August). Global CO data assimilation for emissions and trends analysis. World Weather Open Science 2014. Montreal, Canada: WMO.
• Mizzi, A., Arellano, A. F., Edwards, D., Anderson, J., & Barre, J. (2014, August). Ensemble Kalman Filter Assimilation of MOPITT CO Retrieval Profiles with WRF/Chem-DART. World Weather Open Science 2014. Montreal, Canada: WMO.
• Moker, J., Serra, Y., Castro, C., & Arellano, A. F. (2015, January). Impact of Precipitable Water on Forecasting the 2013 North American Monsoon. AMS 95th Annual Meeting. Phoenix, Arizona: AMS.
• Raman, A., Arellano, A. F., & Kumar, R. (2014, June). Quantifying regional emissions using WRF-Chem tagged tracers: Implications for cross-state pollution transport and extreme air quality events. 15th Annual WRF Users' Workshop. Boulder, CO: NCAR.
• Raman, A., Arellano, A. F., & Kumar, R. (2014, September). Using chemical ratios to disentangle sources of particulate matter pollution: Implications for population exposure and mortality. International Global Atmospheric Chemistry (IGAC) Science Conference on Atmospheric Chemistry. Natal, Brazil: IGAC.
• Silva, S., Arellano, A. F., & Worden, H. (2014, May). Exploring the utility of satellite-based CO2/CO and CO2/NO2 sensitivities over urban regions and point sources as constraints on anthorpogenic combustion. International Workshop on Greenhouse Gas Measurements from Space (IWGGMS-9). Noordwijk, The Netherlands: European Space Agency.
• Arellano, A. F. (2013, March). Towards Seamless Prediction of Chemical Weather. Alaska Weather Symposium. Fairbanks, AK: University of Alaska.
• Arellano, A. F. (2013, March). Towards Seamless Prediction of Chemical Weather. UA Applied Mathematics SIAM Student Chapter Seminar. Tucson, AZ: University of Arizona.
• Arellano, A. F. (2013, September). Towards Seamless Prediction of Atmospheric Composition Using Ensemble-based Data Assimilation. Biennial Air Quality Research Center Conference on Traversing New Terrain in Meteorological Modeling, Air Quality, and Dispersion. Davis, CA: AMS.
• Mizzi, A., Arellano, A. F., Edwards, D., Anderson, J., & Barre, J. (2014, February). An efficient algorithm for assimilation of satellite retrieval profiles of chemical trace gases in the troposphere with the DART ensemble Kalman filter in WRFCHEM. AMS 94th Annual Meeting. Atlanta, GA: AMS.
• Raman, A., & Arellano, A. F. (2013, June). A WRF/CHEM sensitivity study towards high resolution air qualityforecasting for southwestern United States. 14th Annual WRF Users' Workshop. Boulder, CO: NCAR.
• Silva, S., & Arellano, A. F. (2013, May). Patterns of CO2 Sensitivity to CO from Space and their Implications for Carbon Monitoring. International Workshop on Greenhouse Gas Measurements from Space (IWGGMS-9). Yokohama, Japan: JAXA.

Poster Presentations

• Arellano, A. F., Tang, W., Gaubert, B., Choi, Y., DiGangi, J., & Diskin, G. (2019, December). Assessing the Utility of CO2:CO Correlations in Improving Top-down Estimates of Fossil-fuel CO2 Emissions. 2019 AGU Fall Meeting. San Francisco, CA: AGU.
• Brocchi, V., Arellano, A. F., Tang, W., & Gaubert, B. (2020, January). Impact of African Urban Agglomerations to Global Air Quality,. 22nd Conference on Atmospheric Chemistry/100th AMS Annual Meeting. Boston, MA: AMS.
• Arellano, A. F., Gaubert, B., Miyazaki, K., Inness, A., Jiang, Z., Yin, Y., & Flemming, J. (2018, December/Fall). Towards a Chemical Inverse Modeling System Experiment: First Results on CO Inter-comparison,. 2018 American Geophysical Union Fall Meeting. Washington, D.C.: AGU.
• Castro, C. L., Moker, Jr., J. M., Serra, Y., Arellano, A. F., & Adams, D. K. (2018, January). Convective-permitting hindcast simulations during the North American monsoon GPS Transect Experiment 2013: Establishing baseline model performance.. 98th Annual American Meteorological Society Meeting.
• Arellano, A. F., Tang, W., Silva, S., Gaubert, B., & Miyazaki, K. (2017, October). Multi-Species Analysis of Anthropogenic Pollution Using IASI Data: Emerging Patterns over Chinese Cities. EUMETSAT Meteorological Conference. Rome, Italy: EUMETSAT.
• Tang, W., & Arellano, A. F. (2017, January). Investigating Combustion and Emission Trends in Megacities through Synthesis of Combustion Signatures Using Multiple Datasets. AMS 2017 Annual Meeting.
• Tang, W., Arellano, A. F., Choi, Y., DiGangi, J., Woo, J., Diskin, G., Agusti-Panareda, A., Parrington, M., Massart, S., Lee, M., Kanaya, Y., Jang, J., Lee, Y., Hong, J., Flynn, J., Thompson, A., & Kim, D. (2017, December). Joint Evaluation of Copernicus Atmosphere Monitoring Service (CAMS) High-resolution Global Near-Real Time CO and CO2 Forecasts during KORUS-AQ Field Campaign. 2017 AGU Fall Meeting. New Orleans, LA: AGU.
• Tang, W., Arellano, A. F., Emmons, L., & Gaubert, B. (2018, January). Ensemble Simulation of Anthropogenic and Biomass Burning CO2 and CO in CAM-chem. 20th Conference on Atmospheric Chemistry, AMS 98th Annual Meeting. Austin, Texas: AMS.
• Deeter, M., Emmons, L., Arellano, A. F., Martinez-Alonso, S., Wiedinmyer, C., Val Martin, M., Gatti, L., Miller, J., Gloor, M., Domingues, L., & Carvalho-Correia, C. (2016, December). Towards Improved MOPITT-based Biomass Burning Emission Inventories for the Amazon Basin. AGU 2016 Fall Meeting.
• Gaubert, B., Barre, J., Arellano, A. F., Worden, H., Emmons, L., Tilmes, S., Martinez-Alonso, S., Anderson, J., & Edwards, D. (2016, December). Overview of the NCAR-MOPITT reanalysis, investigation of chemical error correlations. AGU 2016 Fall Meeting.
• Gaubert, B., Worden, H., Arellano, A. F., Barre, J., Emmons, L., Tilmes, S., Bucholz, R., Anderson, J., Martinez-Alonso, S., & Vitt, F. (2016, September). A Reanalysis of MOPITT-CO observations. 2016 International Global Atmospheric Chemistry (IGAC) Project Science Conference.
• Kumar, R., Raman, A., Delle-Monache, L., Alessandrini, S., Chang, W., Gaubert, B., & Arellano, A. F. (2016, December). A novel method to improve MODIS AOD retrievals in cloudy pixels using an analog ensemble approach. AGU 2016 Fall Meeting.
• Montane, F., Fox, A. M., Arellano, A. F., Alexander, M. R., & Moore, D. J. (2016, Fall). A Model-Data Intercomparison of Carbon Fluxes, Pools, and LAI in the Community Land Model (CLM) and Alternative Carbon Allocation Schemes. American Geophysical Union.
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  Francesc Montane, Andrew M Fox, Avelino F Arellano, M Ross Alexander, David J Moore B21B-0444: A Model-Data Intercomparison of Carbon Fluxes, Pools, and LAI in the Community Land Model (CLM) and Alternative Carbon Allocation Schemes
• Tang, W., & Arellano, A. F. (2016, September). Investigating Combustion and Emission Trends in Megacities trhough Synthesis of Combustion Signatures Using Mulitple Datasets,. 2016 International Global Atmospheric Chemistry (IGAC) Project Science Conference.
• Arellano, A. F. (2014, December). Constraints on Local-­to-­Regional Anthropogenic CO2 from Satellite Retrievals of Combustion-­related Trace Gases: Initial Assessment Using Observing System Simulation Experiments (OSSEs). 2014 AGU Fall Meeting. San Francisco, CA: AGU.
• Arellano, A. F., Tang, W., & Deeter, M. (2015, December). Joint Analysis of Bulk Wildfire Characteristics from Multiple Satellite Retrievals. 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Barre, J., Edwards, D., Gaubert, B., Woren, H., Arellano, A. F., & Anderson, J. (2015, December). Carbon Monoxide Data Assimilation for Atmospheric Composition and Climate Science: Evaluating Performance with Current and Future Observations. 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Gaubert, B., Arellano, A. F., Barre, J., Worden, H., Emmons, L., Tilmes, S., Buchholz, R., Wiedinmyer, C., Vitt, F., & Anderson, J. (2015, December). Chemical Response of CESM/CAM-Chem to MOPITT CO Ensemble-based Chemical Data Assimilation. 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Mizzi, A., Arellano, A. F., Edwards, D., & Anderson, J. (2015, December). Comparison of the Assimilation of Compact Phase Space Retrievals (CPSRs) with Conventional Retrieval Assimilation Methods for MOPITT CO in WRF-Chem/DART. 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Montane, F., Fox, A., Arellano, A. F., Scaven, V., Alexander, M., & Moore, D. (2015, December). Comparing Different Model Structures for Carbon Allocation in the Community Land Model (CLM). 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Raman, A., Arellano, A. F., & Kumar, R. (2015, December). Using Combustion Tracers to Estimate Surface Black Carbon Distributions in WRF-Chem. 2015 AGU Fall Meeting. San Francisco, CA: AGU.
• Liu, Y., Matthes, J., Moore, D., Dietze, M., Arellano, A. F., Dawson, A., Fox, A., Goring, S., McLachlan, J., Montane, F., Moreno, G., Poulter, B., Quaife, T., Ricciuto, D., Schaefer, K., Steinkamp, S., Williams, J., & Team, P. (2014, December). Assessing the long-term performance of terrestrial ecosystem models in northeastern United States: linking model structure and output. 2014 AGU Fall Meeting. San Francisco, CA: AGU.
• Mizzi, A., Arellano, A. F., Edwards, D., & Anderson, J. (2015, January). Comparison of efficient algorithms for assimilating satellite partial column retrievals with WRF-Chem/DART. AMS 95th Annual Meeting. Phoenix, Arizona: AMS.
• Montane, F., Fox, A., Hoar, T., Arellano, A. F., Liu, Y., Moreno, G., Quife, T., Richardson, A., Trouet, V., Chen, M., Hollinger, D., & Moore, D. (2014, December). Assimilating Multiple Data Types in the Community Land Model (CLM) for Deciduous Forests in North America. 2014 AGU Fall Meeting. San Francisco, CA: AGU.
• Barre, J., Worden, H., Edwards, D., Arellano, A. F., & Lahoz, W. (2013, December). Monitoring lowermost tropospheric carbon monoxide from a geostationary constellation: observation simulations. 2013 AGU Fall Meeting. San Francisco, CA: AGU.
• Silva, S., Arellano, A. F., Yang, M., & Crosbie, E. (2013, December). Exploring the utility of satellite-based CO2-CO-NO2 sensitivities over urban regions and point sources as constraints on anthropogenic combustion. 2013 AGU Fall Meeting. San Francisco, CA: AGU.