Wenfu Tang (Ph.D., 2016 to present; M.S., 2014-2016). Her research revolves around understanding fire dynamics, emissions, and the impact of combustion on atmospheric composition, using smoke and combustion signatures observed from satellites (CO, CO2, NO2, AOD, SO2), KORUS-AQ field campaign, regional to global chemical transport modeling (CESM/CAM-Chem, WRF-Chem) and data assimilation.
Tang, W., Arellano, A. F., DiGangi, J. P., Choi, Y., Diskin, G. S., Agustí-Panareda, A., Parrington, M., Massart, S., Gaubert, B., Lee, Y., Kim, D., Jung, J., Hong, J., Hong, J.-W., Kanaya, Y., Lee, M., Stauffer, R. M., Thompson, A. M., Flynn, J. H., and Woo, J.-H.: Evaluating High-Resolution Forecasts of Atmospheric CO and CO2 from a Global Prediction System during KORUS-AQ Field Campaign, Atmos. Chem. Phys. Discuss., https://doi.org/10.5194/acp-2018-71, in review, 2018.
Tang, W., A.F. Arellano, L.K. Emmons, and B. Gaubert (2018), Ensemble Simulation of Anthropogenic and Biomass Burning CO2 and CO in CAM-chem, Abstract 1102, poster presented at 20th Conference on Atmospheric Chemistry as part of the AMS 98th Annual Meeting, Austin, TX, 7-11 Jan.
Tang, W., A.F. Arellano, Y. Choi, J.P. DiGangi, J-H. Woo, G.S. Diskin, A. Agusti-Panareda, M. Parrington, S. Massart, M. Lee, Y. Kanaya, J. Jang, Y. Lee, J. Hong, J.H. Flynn, A.M. Thompson, and D-B. Kim (2017), Joint Evaluation of Copernicus Atmosphere Monitoring Service (CAMS) High-resolution Global Near-Real Time CO and CO2 Forecasts during KORUS-AQ Field Campaign, Abstract A53A-2210, poster presented at 2017 AGU Fall Meeting, New Orleans, LA, 11-15 Dec.
Tang, W., and A.F. Arellano (2017), Investigating Combustion and Emission Trends in Megacities through Synthesis of Combustion Signatures Using Multiple Dataset, Abstract 684, presented at the 19th Conference on Atmospheric Chemistry as part of the AMS 97th Annual Meeting, 23-26 Jan.
Tang, W., and A. Arellano (2017), Investigating the dominant characteristics of fires across the Amazon during 2005–2014 through satellite data synthesis of combustion signatures, J. Geophys. Res., 121, doi:10.1002/2016JD025216.
Tang, W., and A. Arellano (2016), Investigating Combustion and Emission Trends in Megacities trhough Synthesis of Combustion Signatures Using Mulitple Datasets, Abstract 1.040 presented at 2016 International Global Atmospheric Chemistry (IGAC) Project Science Conference, Breckenridge, CO, 26-30 Sep.
Tang, W., A. Arellano, and M. Deeter (2015), Joint Analysis of Bulk Wildfire Characteristics from Multiple Satellite Retrievals, Abstract A23A-0275 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec.
Tang, W., A. Arellano, A. Raman, and M. Deeter (2015), A Comparative Analysis on the Temporal and Spatial Distribution of Fire Characteristics in the Amazon and Equatorial Southern Africa Using Observations from Space, Abstract EGU2015-637 presented at 2015 EGU Meeting, Vienna, Austria, 12-17 Apr.
James Moker (Ph.D. 2013-present). His research revolves around improving convective precipitation forecasts in the North American Monsoon region through ensemble-based data assimilation of ground GPS-derived total precipitable water (PWV).
Moker, J.M., C.L. Castro, Y.L. Serra, A.F. Arellano, and D.K. Adams (2017), Convective-permitting hindcast simulations during The North American Monsoon GPS Transect Experiment 2013: Establishing Baseline Model Performance Without Data Assimilation, J. Appl. Meteor. Climatol., in revision.
Serra, Y., D. Adams, C. Minjares-Sosa, J. Moker, A. Arellano, C. Castro, A. Quintanar, L. Alatorre, A. Granados, E. Vasqueze, K. Holub, and C. DeMets, (2016), The North American Monsoon GPS Transect Experiment 2013, Bull. Am. Meteorol. Soc., 2103-115, doi:10.1175/BAMS-D-14-00250.1.electronic journal.
Moker, J., Y. Serra, C. Castro and A.F. Arellano (2015), Impact of Precipitable Water on Forecasting the 2013 North American Monsoon, Abstract 8.4, presented at the 29th Conference on Hydrology as part of the AMS 95rd Annual Meeting, 3-8 Jan.
Christoforus Bayu Risanto (Ph.D. 2016-present). His research revolves around understanding aerosol-cloud-precipitation interactions in the Maritime Continent. He is currently working on statistical analysis of satellite data from multiple sensors and platforms to find emergent patterns of biomass burning products and regional climate of Indonesia. He is also using an ensemble-based data assimilation system to investigate observational constraints on mesoscale convective systems (MCSs) in the North American Monsoon region and contrasting them with meteorological systems in the Maritime Continent.
Risanto, C.B., and A. Arellano (2017), Sensitivity Analysis of Convective Clouds and Precipitation to Biomass Burning Aerosols in the Maritime Continent, poster presented at the 2017 El Día del Agua y la Atmósfera Conference, University of Arizona, 27 Mar.
Aishwarya Raman (Ph.D. 2013 to 2017). Now a Postdoc at ESSIC University of Maryland. Her research revolved around understanding the mechanisms driving and controlling extreme air quality (AQ) events in southern Arizona and across United States, in order to improve predictive capability of models for extreme AQ events (dust storms and wildfires), in conjunction with observations of weather and AQ from space.
She finished her M.S. in Atmospheric Science in 2013. Aishwarya Raman won best oral presentation award for the 15th Conference on Atmospheric Chemistry at the 2013 American Meteorological Society (AMS) meeting. She has been featured in the Joint Center for Satellite Data Assimilation Quarterly Newsletter as one of the students who participated in the JCSDA's summer colloquium in 2012.
Raman, A., and A.F. Arellano (2017), Spatial and temporal variations in characteristic ratios of elemental carbon with carbon monoxide and nitrogen oxides across the United States, Envi. Sci. Tech., 51(21), 6829-6838, doi:10.1021/acs.est.7b00161, electronic journal.
Raman, A., A.F. Arellano and R. Kumar (2016), Estimating black carbon concentrations from combustion tracers: synergistic perspective using in-situ measurements, multi-satellite retrievals, and chemical transport model, Abstract A52B-02 presented orally at 2016 Fall Meeting, AGU, San Francisco, Calif., 12-16 Dec.
Arellano, A.F., A. Raman, J. Brost, and A. Sorrooshian (2016), Modeling and observations of dust aerosols during the North American Monsoon, Abstract A41N-08 presented orally at 2016 Fall Meeting, AGU, San Francisco, Calif., 12-16 Dec.
Kumar, R., A. Raman, L. Delle Monache, S. Alessandrini, W.Y. Cheng, B. Gaubert, and A. Arellano (2016), A novel method to improve MODIS AOD retrievals in cloudy pixels using an analog ensemble approach, Abstract A31E-0091 presented at 2016 Fall Meeting, AGU, San Francisco, Calif., 12-16 Dec.
Raman, A., A.F. Arellano, and A. Sorooshian (2016), Decreasing aerosol loading in the North American Monsoon region, Atmosphere,7(2), 24;doi:10.3390/atmos7020024, electronic journal.
Lopez, D., M. Rabbani, E. Crosbie, A. Raman, A. Arellano, and A. Sorooshian (2015), Frequency and Character of Extreme Aerosol Events in the Southwestern United States: A Case Study Analysis in Arizona, Atmosphere, 7(1), 1; doi:10.3390/atmos7010001, electronic journal.
Raman, A., A. Arellano, and R. Kumar (2015), Using Combustion Tracers to Estimate Surface Black Carbon Distributions in WRF-Chem, Abstract A33D-0207 presented at 2015 Fall Meeting, AGU, San Francisco, Calif., 14-18 Dec.
Raman, A., A.F. Arellano, and R. Kumar (2014), 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, 22-26 Sep.
Raman, A.,A.F. Arellano, and R. Kumar (2014), 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, 23-27 June.
Raman, A., A.F. Arellano, and J.J. Brost (2014), Revisiting haboobs in the southwestern United States: An observational case study of the 5 July 2011 Phoenix dust storm, Atmos. Environ., 89, 179-188, doi: 10.1016/j.atmosenv.2014.02.026, electronic journal.
Raman, A., and A.F. Arellano, (2013), A WRF/CHEM sensitivity study towards high resolution air qualityforecasting for southwestern United States, 14th Annual WRF Users' Workshop, Boulder, CO, 24-28 June.
Raman, A.*, and A.F. Arellano (2013), Modeling and Data Analysis of 2011 Phoenix Dust Storm, Abstract 5.5, presented at the 15th Conference on Atmospheric Chemistry as part of the AMS 93rd Annual Meeting, 6-10 Jan.
Raman, A., and A.F. Arellano (2012), Investigating Massive Dust Events Using a Coupled Weather-Chemistry Model, Abstract A33E-207 presented at the 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec.
Sam Silva (AMP 2012 to 2014, Now a Ph.D. student at MIT). His research revolved around satellite data analysis of atmospheric constituents from combusted-related processes. His work focused on the synergistic use of satellite retrievals of CO2, CO, and NO2 to investigate combustion characteristics in urban environments and to further provide important constraints on our current estimates of anthropogenic sources of CO2.
He finished his B.S. in Physics in 2013 at University of Arizona.
Silva, S. and A.F. Arellano (2017), Characterizing regional-scale combustion using satellite retrievals of CO, NO2 and CO2, Remote Sensing, 9(7), 744; doi:10.3390/rs9070744, electronic journal.
Silva, S.J., A.F. Arellano, and H. Worden (2014), Exploring the utility of satellite-based CO2/CO and CO2/NO2 sensitivities over urban regions and point sources as constraints on anthropogenic combustion, Paper presented at the International Workshop on Greenhouse Gas Measurements from Space (IWGGMS-9), Noordwijk, The Netherlands, 05-07 May.
Silva, S., A. Arellano, M. Yang, and E. Crosbie (2013), Exploring the utility of satellite-based CO2-CO-NO2 sensitivities over urban regions and point sources as constraints on anthropogenic combustion, Abstract A53E-0232 presented at 2013 Fall Meeting, AGU, San Francisco, Calif., 9-13 Dec.
Silva, S., A.F. Arellano, and H. Worden (2013), Towards anthropogenic combustion emission from space-based analysis of urban CO2/CO sensitivity, Geophys. Res. Lett., , –doi: 10.1002/grl.50954, electronic journal.
Silva, S.J., A.F. Arellano, and H. Worden (2013), Patterns of CO2 Sensitivity to CO from Space and their Implications for Carbon Monitoring, Paper presented at the International Workshop on Greenhouse Gas Measurements from Space (IWGGMS-9), Yokohama, Japan, 29-31 May.
Silva, S.J., and A.F. Arellano (2012), Towards an Analysis of CO2 - CO Correlation Patterns Over Megacities, Abstract A43L-07 presented at the 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec.
Please contact me if you are interested in working on special topics in chemical data assimilation, inverse modeling, and data analysis. An ample background in programming (e.g. matlab, fortran, idl) with interest in the application of mathematics/statistics to problems in atmospheric sciences is desirable.