Avelino Arellano Jr.

Associate Professor of Hydrology and Atmospheric Sciences
Associate Professor of Applied Mathematics - GIDP
Associate Professor of Remote Sensing and Spatial Analysis - GIDP
Associate Professor of Chemical and Environmental Engineering

Ave Arellano is an associate professor at University of Arizona (UArizona) Department of Hydrology and Atmospheric Sciences (HAS). He is also a joint faculty member of UArizona Chemical & Environmental Engineering, as well as Graduate Interdisciplinary Programs (GIDP) on Remote Sensing and Spatial Analysis (RSSA) and on Applied Mathematics. As a professor on data assimilation and atmospheric chemistry, his research at UArizona is directed towards improving our capability to assess, monitor, and predict the changes in the state of our Earth system by exploiting constraints from observational (ground-based to satellite remote-sensing) and modeling (local to global scale) along with correlative ancillary datasets (e.g., socioeconomic indicators).

His current work focuses on determining the changes in atmospheric composition 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, CHand aerosols offer opportunities to fingerprint the impacts of energy usage 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. 

Ave received his PhD in environment from Duke University Nicholas School of the Environment and Earth Sciences, MS Engineering in civil and environmental engineering from National University of Singapore, and BS in mining engineering from the University of the Philippines. Prior to graduate school, he worked as a production engineer in one of the cement manufacturing plants in the Philippines.

Degrees

  • PhD Environment
    • Duke University, Durham, North Carolina, United States
    • Global Carbon Monoxide Cycle: Modeling and Data Analysis
  • MS Engineering Civil and Environmental Engineering
    • National University of Singapore, Singapore, Singapore
    • Investigating the haze transport from 1997 biomass burning in southeast Asia: Its impact upon Singapore
  • BS Mining Engineering
    • University of the Philippines, Quezon City, Philippines

Work Experience

  • University of Arizona, Tucson (2010 - Ongoing)
  • National Center for Atmospheric Research (2007 - 2010)
  • National Center for Atmospheric Research (2005 - 2007)
  • Nicholas School of the Environment and Earth Sciences, Duke University (2004 - 2005)
  • Nicholas School of the Environment and Earth Sciences, Duke University (2000 - 2004)
  • Davao Union Cement Corporation, PHINMA Group (1995 - 1997)
  • Davao Union Cement Corporation, PHINMA Group (1994 - 1995)
  • Davao Union Cement Corporation, PHINMA Group (1993 - 1994)

Interests

Teaching

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

Research

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

Courses

Computational Methods

ATMO 430 (Spring 2023)
ATMO 430 (Spring 2021)
ATMO 430 (Spring 2019)
 

Physical Meteorology II

ATMO 451B (Spring 2023)
ATMO 451B (Spring 2017)
ATMO 451B (Spring 2016)
 

Air Pollution I:Gases

ATMO 469A (Fall 2023)
ATMO 469A (Fall 2022)
ATMO 469A (Fall 2021)
ATMO 469A (Fall 2019)
ATMO 469A (Fall 2016)
ATMO 569A (Fall 2023)
ATMO 569A (Fall 2022)
ATMO 569A (Fall 2021)
ATMO 569A (Fall 2019)
ATMO 569A (Fall 2016)
CHEE 569A (Fall 2023)
CHEE 569A (Fall 2022)
CHEE 569A (Fall 2021)
CHEE 569A (Fall 2016)
 

Air Pollution II:Aerosol

ATMO 469B (Spring 2021)
ATMO 569B (Spring 2021)
CHEE 569B (Spring 2021)
 

Independent Study

ATMO 599 (Fall 2023)
ATMO 599 (Spring 2023)
ATMO 599 (Fall 2022)
ATMO 599 (Spring 2022)
ATMO 599 (Spring 2020)
ENVS 499 (Spring 2016)
 

Intro to Data Assimilation

ATMO 545 (Spring 2024)
ATMO 545 (Spring 2022)
ATMO 545 (Fall 2020)
ATMO 545 (Fall 2018)
HWRS 545 (Spring 2022)
HWRS 545 (Fall 2018)
 

Physical Meterology II

ATMO 551B (Spring 2023)
ATMO 551B (Spring 2020)
ATMO 551B (Spring 2017)
ATMO 551B (Spring 2016)
 

Progress in Atmo Science

ATMO 596A (Spring 2016)
 

Research

ATMO 900 (Spring 2021)
ATMO 900 (Fall 2020)
ATMO 900 (Fall 2017)
ATMO 900 (Spring 2016)
CHEE 900 (Spring 2024)
CHEE 900 (Fall 2023)
 

Dissertation

ATMO 920 (Spring 2024)
ATMO 920 (Fall 2023)
ATMO 920 (Spring 2023)
ATMO 920 (Spring 2019)
ATMO 920 (Fall 2018)
ATMO 920 (Spring 2018)
ATMO 920 (Spring 2017)
ATMO 920 (Fall 2016)
ATMO 920 (Spring 2016)

Selected Publications

Journals/Publications

  • Guo, Y., Roychoudhury, C., Mirrezaei, M. A., Kumar, R., Sorooshian, A., & Arellano, A. F. (2024). Investigating Ground-Level Ozone Pollution in Semi-Arid and Arid Regions of Arizona Using WRF-Chem v4.4 Modeling. Geoscientific Model Development Discussions, 2024, 1--39.
  • Sorooshian, A., Arellano, A. F., Fraser, M. P., Herckes, P., Betito, G., Betterton, E. A., Braun, R. A., Guo, Y., Mirrezaei, M. A., & Roychoudhury, C. (2024). Ozone in the Desert Southwest of the United States: A Synthesis of Past Work and Steps Ahead. ACS ES&T Air.
  • Gaubert, B., Edwards, D. P., Anderson, J. L., Arellano, A. F., Barr'e, J., Buchholz, R. R., Darras, S., Emmons, L. K., Fillmore, D., Granier, C., & others, . (2023). Global Scale Inversions from MOPITT CO and MODIS AOD. Remote Sensing, 15(19), 4813.
  • Gaubert, B., Edwards, D. P., Anderson, J. L., Arellano, A. F., Barré, J., Buchholz, R. R., Darras, S., Emmons, L. K., Fillmore, D., Granier, C., Hannigan, J. W., Ortega, I., Raeder, K., Soulié, A., Tang, W., Worden, H. M., & Ziskin, D. (2023).

    Global Scale Inversions from MOPITT CO and MODIS AOD

    . Remote Sensing, 15(19), 4813. doi:10.3390/rs15194813

  • Hilario, M., Arellano, A. F., Behrangi, A., Crosbie, E. C., DiGangi, J. P., Diskin, G. S., Shook, M. A., Ziemba, L. D., & Sorooshian, A. (2024). Assessing potential indicators of aerosol wet scavenging during long-range transport. Atmospheric Measurement Techniques, 17(1), 37--55.
  • Lorenzo, G. R., Arellano, A. F., Cambaliza, M. O., Castro, C., Templonuevo Cruz, M., Di Girolamo, L., Gacal, G. F., Hilario, M. A., Lagrosas, N., Ong, H. J., Simpas, J. B., Uy, S. N., & Sorooshian, A. (2023). An Aerosol Climatology via Remote Sensing over Metro Manila, Philippines. Atmospheric Chemistry and Physics, 23. doi:10.5194/acp-23-10579-202
  • Risanto, C. B., Moker, J. M., Arellano, A. F., Castro, C. L., Serra, Y. L., Luong, T. M., & Adams, D. K. (2023).

    On the Collective Importance of Model Physics and Data Assimilation on Mesoscale Convective System and Precipitation Forecasts over Complex Terrain

    . Monthly Weather Review, 151(8), 1993-2008. doi:10.1175/mwr-d-22-0221.1

  • Risotto, C. B., Arellano, A. F., Moker, J. M., Castro, C. L., Serra, Y. L., Luong, T. M., & Adams, D. K. (2023). On the Importance of Multi-scale Constraints on Mesoscale Convective System and Precipitation Forecasts over Complex Terrain. Monthly Weather Review, 151. doi:10.1175/MWR-D-22-0221.1
  • Yuan, S., Arellano, A. F., Knickrehm, L., Chang, H., Castro, C. L., & Furlong, M. (2023). Towards quantifying atmospheric dispersion of pesticide spray drift in Yuma County Arizona. Atmospheric Environment, 319(120262). doi:10.1016/j.atmosenv.2023.120262
  • Arellano, A. F., McKinnon, J. M., Roychoudhury, C., He, C., & Kumar, R. (2022). On the Relevance of Aerosols to Snow Cover Variability Over High Mountain Asia. Geophysical Research Letters, 49(18). doi:10.1029/2022gl099317
  • Roychoudhury, C., He, C., Kumar, R., McKinnon, J. M., & Arellano Jr., ,. (2022). On the Relevance of Aerosols to Snow Cover Variability Over High Mountain Asia. Geophysical Research Letters, 49(18), e2022GL099317.
  • Adams, D. K., Moker, J. M., Arellano, A. F., Castro, C. L., & Risanto, C. B. (2021). The impact of assimilating GPS precipitable water vapor in convective-permitting WRF-ARW on North American monsoon precipitation forecasts over northwest Mexico. Monthly Weather Review.
  • Liang, J., Chen, Y., Arellano, A. F., & Mamun, A. A. (2021). Model Sensitivity Study of the Direct Radiative Impact of Saharan Dust on the Early Stage of Hurricane Earl. Atmosphere, 12(9).
  • Lorenzo, G. R., Ba\~naga, P. A., Cambaliza, M. O., Cruz, M. T., AzadiAghdam, M., Arellano, A., Betito, G., Braun, R., Corral, A. F., Dadashazar, H., Edwards, E., Eloranta, E., Holz, R., Leung, G., Ma, L., MacDonald, A. B., Reid, J. S., Simpas, J. B., Stahl, C., , Visaga, S. M., et al. (2021). Measurement report: Firework impacts on air quality in Metro Manila, Philippines, during the 2019 New Year revelry. Atmospheric Chemistry and Physics, 21(8), 6155--6173.
  • Risanto, C. B., Castro, C. L., Arellano, A. F., Moker, J. M., & Adams, D. K. (2021). The Impact of Assimilating GPS Precipitable Water Vapor in Convective-Permitting WRF-ARW on North American Monsoon Precipitation Forecast over Northwest Mexico. Monthly Weather Review. doi:https://doi.org/10.1175/MWR-D-20-0394.1

Poster Presentations

  • Mirrezaei, M. A., Gaubert, B., & Arellano, A. F. (2024, January). Simulating CH4 Lifetime and Abundance using the Global Carbon Project CH4 flux estimates. 104th AMS Annual Meeting. Baltimore, MD: AMS.
  • Guo, Y., Arellano, A. F., Roychoudhury, C., Sorooshian, A., Kumar, R., & Pfister, G. (2023, January). Harnessing our Air Quality Modeling & Observational Capabilities to Establish Key Factors Influencing Ozone Levels in Arizona. AMS Annual Meeting. Denver, CO: AMS.
  • Guo, Y., Arellano, A. F., Roychoudhury, C., Sorooshian, A., Kumar, R., & Pfister, G. (2023, September). Harnessing our Air Quality Modeling & Observational Capabilities to Establish Key Factors Influencing Ozone Levels in Arizona. Meteorology and Climate – Modeling for Air Quality Conference (MAC-MAQ). UC Davis.
  • McKinnon, J., Roychoudhury, C., & Arellano, A. F. (2023, June). se of Covariance Discrimination Analysis to Determine Structural Bias in Modeled Carbon Monoxide. Global Emissions Initiative (GEIA) 20th Conference. Brussels, Belgium: International Global Atmospheric Chemistry.
  • Mirrezaei, M. A., Gaubert, B., Fernandez, R. P., Kinnison, D. E., Ortega, I., & Arellano, A. F. (2023, December). Exploring the Variability of CH4 Abundance due to Uncertainties in CH4 Emissions and Chemistry. AGU Fall Meeting. San Francisco: AGU.
  • Mirrezaei, M. A., Guo, Y., Roychoudhury, C., Sorooshian, A., Arellano, A. F., Tang, W., & Emmons, L. (2023, September). Investigating surface ozone sensitivity to HCHO/NO2 ratios over Arizona using the Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICA) model. Meteorology and Climate – Modeling for Air Quality Conference (MAC-MAQ). UC Davis.
  • Mirrezaei, M. A., Tang, W., Emmons, L., Guo, Y., Gaubert, B., & Arellano, A. F. (2023, December). The impact of horizontal resolution, chemistry, and emissions on surface ozone concentration using Multi-Scale Infrastructure for Chemistry and Aerosols (MUSICAv0). AGU Fall Meeting. San Francisco: AGU.
  • Pan, K., & Arellano, A. F. (2023, January). Uncertainties of Modeled and Observed PBL Heights During the PECAN Field Campaign. AMS Annual Meeting. Denver, CO: AMS.
  • Roychoudhury, C., Cheng, W., He, C., Kumar, R., & Arellano, A. F. (2023, December). MATCHA, Model for Atmospheric Transport and Chemistry in Asia: A novel regional climate-chemical reanalysis. AGU Fall Meeting. San Francisco: AGU.
  • Roychoudhury, C., Cheng, W., He, C., Kumar, R., McKinnon, J., & Arellano, A. F. (2023, December). How uncertain are BC emissions in High Mountain Asia? An inverse modeling approach. AGU Fall Meeting. San Francisco: AGU.
  • McKinnon, J., Roychoudhury, C., Arellano, A. F., & Gaubert, B. (2022, December). Spatiotemporal Pattern Analysis of Trace Gases and Aerosol Abundance Using Varimax Rotation. AGU Fall Meeting. Chicago, IL: AGU.
  • Pan, K., & Arellano, A. F. (2022, December). Exploring the Range of Uncertainties of Modeled and Observed PBL Heights During the PECAN Field Campaign. AGU Fall Meeting. Chicago, IL: AGU.
  • Roychoudhury, C., He, C., Kumar, R., McKinnon, J., & Arellano, A. F. (2022, December). Tracing the sources of black carbon deposition over the glaciers in High Mountain Asia: A tagged- tracer approach using WRF-Chem . AGU Fall Meeting. Chicago, IL: AGU.
  • Roychoudhury, C., He, C., Kumar, R., McKinnon, J., & Arellano, A. F. (2022, September). Source attribution of aerosol impacts to snow cover over High Mountain Asia. International Global Atmospheric Chemistry (IGAC) Project Science Conference. Manchester, UK: IGAC.
  • Knickrehm, L., Yuan, S., Roychoudhury, C., Arellano, A. F., & Furlong, M. (2022, January). An Ensemble Approach in Modeling the Atmospheric Dispersion of Pesticide Spray Drift in Yuma County. American Meteorological Society (AMS) 102nd Annual Meeting: 22nd Joint Conference on the Applications of Air Pollution Meteorology with the A&WMA. Virtual: AMS.

Presentations

  • Arellano, A. F. (2023, January). Elucidating Non-linear Chemical and Aerosol Interactions in Earth System Models. Frontiers in Atmospheric Chemistry Seminar Series. Boston, MA: MIT.
  • Arellano, A. F. (2023, March). Challenges and Opportunities in Inverse Modeling: A case with Carbon Monoxide Sources. BIRS Mathematic Approaches of Atmospheric Constituents Data Assimilation and Inverse Modeling. BANFF, Alberta, Canada (presented remotely): BANFF.
  • Arellano, A. F., & Gaubert, B. (2023, January). Space-Based Observational and Coupled Model Constraints on Hydroxyl Radical Abundance and Methane Loss,. AMS Annual Meeting. Denver, CO: AMS.
  • Furlong, M., & Arellano, A. F. (2023, January). Drift from Agricultural Pesticide Applications During Pre-conception and Pregnancy and Associations with Extremely Preterm Birth in Arizona. AMS Annual Meeting. Denver, CO: AMS.
  • Gaubert, B., Tang, W., Emmons, L., Worden, H., Ortega, I., Edwards, D., & Arellano, A. F. (2023). Global ensemble chemical data assimilation to efficiently estimate initial conditions and emissions by source. 9th International Symposium on Non-CO2 Greenhouse Gases (NCGG8). Amsterdam, Netherlands.
  • Lorenzi, G., Barth, M., Arellano, A. F., Crosbie, E., Diskin, G., Hilario, M., Tilmes, S., Wang, J., Zhang, J., Ziemba, L., & Sorooshian, A. (2023, January). Aerosol Convective Transport in Southeast Asia: Analysis and Evaluation of Aircraft and Modeled Data. AMS Annual Meeting. Denver, CO: AMS.
  • Risanto, C. B., Moker, J., Arellano, A. F., Castro, C., Serra, Y., & Adams, D. (2023, January). On the Importance of Multi-Scale Constraints on Mesoscale Convective System and Precipitation Forecasts over Complex Terrain. AMS Annual Meeting. Denver, CO: AMS.
  • Arellano, A. F. (2022, October). Towards the Identification of Emergent Properties in Local-to- Global Air Quality and Greenhouse Gases. CHEE Seminar Series. Tucson, AZ: UA CHEE.
  • Arellano, A. F. (2021, March). On the Emergence of a Rise in Anthropogenic Combustion in Sub-Saharan Africa. Advancing Air Quality and Carbon Science in Africa (NCAR). Virtual: NCAR.
  • Arellano, A. F. (2021, November). Towards Seamless Prediction of Chemical Weather and Air Quality. Program in Applied Mathematics Seminar Series (City Air and University of Arizona Air Quality Seminar). Virtual: UArizona Applied Mathematics and City Air.
  • Arellano, A. F. (2022, January). The Impact of Precipitable Water Vapor Data Assimilation on North American Monsoon Precipitation Forecast in Northern Mexico. RIken Data Assimilation Seminar Series. Kobe, Japan (virtual): RIKEN Center for Computational Science.
  • Arellano, A. F., & Gaubert, B. (2022, January). Investigating the Interactions between CH4, CO, and OH from Modeling and Observational Perspectives. American Meteorological Society (AMS) 102nd Annual Meeting: 24th Conference on Atmospheric Chemistry. Virtual: AMS.
  • Arellano, A. F., McKinnon, J., Roychoudhury, C., Buccholtz, R., & Gaubert, B. (2021, December). Spatio-temporal Pattern Analysis of Trace Gases and Aerosol Abundance Using PCA, SOMs, and Convolution Auto-encoders. 2021 AGU Fall Meeting. New Orleans, LA: AGU.
  • McKinnon, J., Roychoudhury, C., Gaubert, B., Buchholz, R., & Arellano, A. F. (2022, January). Spatiotemporal Pattern Analysis of Trace Gases and Aerosol Abundance over Sub-Saharan Africa Using PCA/CCA and SOMs. American Meteorological Society (AMS) 102nd Annual Meeting: 24th Conference on Atmospheric Chemistry. Virtual: AMS.
  • Roychoudhury, C., He, C., Kumar, R., & Arellano, A. F. (2021, September). Exploring the association of meteorology and atmospheric composition to snow cover changes: A case study over High-Mountain Asia and Central Andes. Meteorology and Climate - Modeling for Air Quality Conference (MAC-MAQ). Virtual: UC Davis.

Awards

  • Citation of Merit
    • University of the Philippines Alumni Engineers, Fall 2020
  • NASA Group Achievement Award
    • NASA, Fall 2017
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