Avelino Arellano
Ave Arellano
Associate Professor, Hydrology and Atmospheric Sciences
Faculty, Graduate Interdisciplinary Program, Remote Sensing and Spatial Analysis and Applied Mathematics
(520) 626-3015
PhD Environment, Duke University

Ave Arellano is an associate professor in UA Hydrology and Atmospheric Sciences (HAS) and a faculty member of UA GIDP Remote Sensing and Spatial Analysis (RSSA). His research at UA is directed towards improving our capability to assess, monitor, and predict the changes in the state of our Earth system. 

His current work focuses on determining the changes in atmospheric composition (air quality) across major megacities in the world through satellite data analysis and chemical transport modeling. Urban agglomeration is expected to continue growing over the coming decades. This is especially problematic as it is in these cities where human (anthropogenic) activities are most intense accompanied by immense energy consumption, mainly in the form of fossil-fuel combustion. This leads to enhanced emissions of air pollutants, greenhouse gases, and waste energy and subsequently impacting air quality, climate, and ecosystems. Atmospheric measurements of combustion products like CO, CO2, NOX, and aerosols offer opportunities to fingerprint the impacts of energy consumption on our environment.

His group, in collaboration with scientists at the National Center for Atmospheric Research (NCAR) and faculty at UA, is also developing tools that integrate various types of data into Earth system models. These tools can be used to: a) assess the impacts of new combustion technologies on our environment, b) monitor effectiveness of air pollution control strategies and regulation, c) predict the impacts on air quality from potential changes of fuel usage in the future, and d) improve the skill of meteorological and chemical weather forecasts. 

Selected Citations: 

Barré, J., D. Edwards, H. Worden, A. Arellano, B. Gaubert, A. Da Silva, W. Lahoz, and J. Anderson (2016), On the feasibility of monitoring carbon monoxide in the lower troposphere from a constellation of Northern Hemisphere geostationary satellites: Part II, Atmos. Environ., 140,188-201, doi:10.1016/j.atmosenv.2016.06.001

Gaubert, B., A.F. Arellano, J. Barré, H. M. Worden, L. K. Emmons, S. Tilmes, R. R. Buchholz, C. Wiedinmyer, S. Martínez-Alonso, K. Raeder, N. Collins, J. L. Anderson, F. Vitt, D. P. Edwards, M. O. Andreae, J. W. Hannigan, C. Petri, K. Strong, and N. Jones (2016), Towards a chemical reanalysis in a coupled chemistry-climate model: An evaluation of MOPITT CO assimilation and its impact on tropospheric composition, J. Geophys. Res. Atmos, 121, doi:10.1002/2016JD024863

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., 1-13, doi:10.1175/BAMS-D-14-00250.1

Mizzi, A.P., A.F. Arellano Jr., D.P. Edwards, J.L. Anderson, and G.G. Pfister (2016), Assimilating Compact Phase Space Retrievals of Atmospheric Composition with WRF-Chem/DART: A Regional Chemical Transport/Ensemble Kalman Filter Data Assimilation System, Geosci. Model Dev., 9, 965-978, doi:10.5194/gmd-9-965-2016

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

Barré, J., B. Gaubert, A.F. Arellano, H. Worden, D. Edwards, M. Deeter, J. Anderson, K. Raeder, N. Collins, S. Tilmes, G. Francis, C. Clerbaux, L. Emmons, G. Pfister, P. Coheur, and D. Hurtmans (2015) Assessing the Impacts of Assimilating IASI and MOPITT CO Retrievals Using CESM/CAMChem and DART, J. Geophys. Res., 120, doi:10.1002/2015JD023467

Rosolem, R., T.Hoar, A.F. Arellano, J.L. Anderson, W.J. Shuttleworth, X. Zeng, and T. E. Franze (2014), Translating aboveground cosmic-ray neutron intensity to high-frequency soil moisture profiles at sub-kilometer scale, Hydrol. Earth Syst. Sci., 18, 4363-4379

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, 10.1016/j.atmosenv.2014.02.026

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., 40, 4971–4976, doi: 10.1002/grl.50954

Youn, J.S., Z. Wang, A. Wonaschutz, A. Arellano, E.A. Betterton, and A. Sorooshian (2013), Evidence of aqueous secondary organic aerosol formation from biogenic emissions in the North American Sonoran Desert, Geophys. Res. Lett., 40, 3468-3472, doi:10.1002/grl.50644

Hyers, E.J., J. Wang, and A. Arellano (2012), Biomass Burning - Observations, Modeling, and Data Assimilation, Bull. Am. Meteorol. Soc., 93(1), ES10-ES14, doi: 10.1175/BAMS-D-11-00064.1

Friedli, H.R., A.F. Arellano, Jr., F. Geng, C. Cai and L. Pan (2011), Measurements of atmospheric mercury in Shanghai during September 2009, Atmos. Chem. Phys., 11, 3781-3788, doi:10.5194/acp-11-3781-2011

Arellano Jr., A. F., P. G. Hess, D. P. Edwards, and D. Baumgardner (2010), Constraints on black carbon aerosol distribution from Measurement Of Pollution In The Troposphere (MOPITT) CO, Geophys. Res. Lett., 37, L17801, doi:10.1029/2010GL044416

Friedli, H., A.F. Arellano, S. Cinnirella, and N. Pirrone, (2009), Initial estimates of mercury emissions to the atmosphere from global biomass burning, Environ. Sci. Technol., 43, 3507-3513

Edwards, D.P., A.F. Arellano, and M.N. Deeter, (2009), A satellite observation system simulation experiment for carbon monoxide in the lowermost troposphere, J. Geophys. Res.,114, D14304, doi:10.1029/2008JD011375

Malmberg, A., A. Arellano, D. Edwards, N. Flyer, D. Nychka and C. Wikle, (2009), Interpolating fields of carbon monoxide data using a hybrid statistical-physical model, The Annals of Applied Statistics, 2(4), 1231-1248, doi:10.1214/08-AOAS168

Anderson, J.L., T. Hoar, K. Raeder, H. Liu, N. Collins, R. Torn and A. Arellano, (2009), The Data Assimilation Research Testbed: A community data assimilation facility, Bull. Am. Meteorol. Soc., 90(9),1283-1296

Arellano, A.F., K. Raeder, J. Anderson, P. Hess, L. Emmons, D. Edwards, G. Pfister, T. Campos, and G. Sachse, (2007), Evaluating model performance of an ensemble-based chemical data assimilation system during INTEX-B field mission, Atmos. Chem. Phys., 7, 5695-5710

Arellano, A.F., and P.G. Hess, (2006), Sensitivity of top-down estimates of CO sources to GCTM transport, Geophys. Res. Lett., 33, L21807, doi:10.1029/2006GL027371

van der Werf, G. R., J. T. Randerson, L. Giglio, G. J. Collatz, P.S. Kasibhatla, and A. Arellano, (2006), Interannual variability in biomass burning emissions from 1997 to 2004, Atmos. Chem. Phys., 6, 3423-3441

Arellano, A.F., P.S. Kasibhatla, L. Giglio, G.R. van der Werf, and J.T. Randerson, (2004), Top-down estimates of global CO sources using MOPITT measurements, Geophys. Res. Lett., 31, L01104, doi:10.1029/2003GL018609

van der Werf, G.R., J.T. Randerson, G.J. Collatz, L. Giglio, P.S. Kasibhatla, A.F. Arellano, S.C. Olsen, and E.S. Kasischke, (2004), Continental-scale partitioning of fire emissions during the 1997 to 2001 El Nino/La Nina period, Science, 303, 73-76

Koe, L.C.C., Arellano, A.F. and J.L. McGregor, (2001), Investigating the haze transport from 1997 biomass burning in southeast Asia: Its impact upon Singapore, Atmos. Environ., 35, 2723-2734

Research Themes: 
Climate and Adaptation
Air quality
Arid lands
Atmospheric sciences
Extreme events
Remote sensing
Air quality
Governance, Law, and Policy
Air quality
Informatics, Modeling, and Remote Sensing
Algorithm development
Data analysis
Data mining
Data visualization
Data-fusion technology
Decision support
Dynamical systems theory
Information theory
Mathematical and system dynamics modeling
Modeling and simulation
Natural Environment and Biodiversity
Carbon cycling
Modeling and simulation
Remote sensing
Public Health
Air quality
Decision support
Urban Environment
Air quality
Biogeochemical processes
Modeling and simulation
Public Health
Remote sensing
Urban development
Urbanization effects on weather and climate

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