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Avelino F. Arellano, Jr. Project Scientist Atmospheric Chemistry REmote Sensing and Prediction (ACRESP) Global Chemical Transport Modeling Atmospheric Chemistry Division National Center for Atmospheric Research email: arellano@ucar.edu tel:1-303-497-1880 fax:1-303-497-1400 FL0-1102

Modeling and Data Analysis of Tropospheric Composition

“Towards fully exploiting information from observations in steering numerical models and consequently improving model predictions …”

A. Global Chemical Transport Modeling

(MOZART, CAM-Chem, GEOS-Chem)

B. Chemical Data Assimilation using Satellite-Derived Measurements

My postdoctoral work involves the use of state-of-the-science data assimilation schemes (Ensemble Kalman Filter/Smoother NCAR DART) in conjunction with online GCTM CAM-Chem and CO retrievals and/or radiances from MOPITT to provide a consistent and a more likely representation of the CO distribution. I work with Dr. Peter Hess of NCAR/ACD and closely collaborate with Dr. Jeffrey Anderson and Kevin Raeder of NCAR/IMAGe/DAReS on a joint-state-parameter estimation project funded by NSF ITR. A primary goal of this project is to reduce the biases in current CO assimilated and CO emission products in order to better understand the natural and anthropogenic processes that control changes in CO and tropospheric composition in general.

Arellano, A.F. and D.P. Edwards (2009), Assimilating retrievals of chemical constituents in CAM-Chem using an ensemble adjustment Kalman filter approach, 5th WMO Symposium on Data Assimilation, Melbourne, Australia, October 5-9, 2009.

Arellano, A.F., P. Hess, D. Edwards, and D. Baumgardner (2009), Additional constraints on black carbon aerosol distribution from Measurement of Pollution In The Troposphere (MOPITT) CO, Geophys. Res. Lett., in review.

Arellano, A.F., P. Hess, D. Edwards, J. Anderson, K. Raeder, L. Emmons, G. Pfister, Exploiting satellite-derived measurements in constraining regional to global aerosol distribution, IGAC 10th International Conference, Annecy, France, September 7-12, 2008.

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., P. Hess, D. Edwards, J. Anderson, K. Raeder, L. Emmons, G. Pfister, T. Campos, G. Diskin, J. Jimenez, and R. Subramanian, (2007), Chemical Data Assimilation of MOPITT CO and MODIS AOD Retrievals in the Community Atmosphere Model, Eos. Trans. AGU, 88(52), Fall Meet. Suppl., Abstract A14D-03.

Data Assimilation for Tropospheric CO, A short lecture for NCAR/IMAGe Summer Graduate Workshop on Data Assimilation for the Carbon Cycle, Boulder, CO, 8-13 July 2007.

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, PDF.

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, electronic journal.

C. Observing System Simulation Experiments (OSSEs)

My current work involves the use of the ensemble-based data assimilation system (NCAR CAM-Chem/DART and WRF-Chem/DART ) for studies associated with the design of current and future observing systems, in better constraining the chemical state of the atmosphere. This project with Dr. David Edwards of NCAR/ACD is part of a new program at NCAR, the Atmospheric Composition REmote Sensing and Prediction (ACRESP), which facilitates the central integration of observations and modeling efforts across various scales.

Arellano, A. and D. Edwards (2009), Assimilating highly-correlated profile retrievals of atmospheric constituents, to be submitted.

Edwards, D.P., Arellano, A.F. 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, electronic journal.

Edwards, D., Arellano, A. and M. Deeter, A geostationary observation system simulation experiment for lowermost atmosphere carbon monoxide, NASA GEO-CAPE Workshop, Chapel Hill, NC, August 18-20, 2008.

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.

Edwards, D., A. Arellano, and M. Deeter, (2007), Defining Requirements for Future Satellite Air Quality Chemistry Observations, Eos. Trans. AGU, 88(52), Fall Meet. Suppl., Abstract A54C-01.

Anderson, J., Arellano, A.F., Raeder, K., and P.G. Hess, (2006), Ensemble-based Chemical Data Assimilation in a Global Atmospheric Model, Eos. Trans. AGU, 87(52), Fall Meet. Suppl., Abstract A31A-8060.

Arellano, A.F., Raeder, K., Anderson, J., and P.G. Hess, (2006), Global Forecast CO Residuals from Ensemble Data Assimilation Experiments, Eos. Trans. AGU, 87(52), Fall Meet. Suppl., Abstract A53G-03.

D. Inverse Modeling of Regional to Global Sources of Atmospheric Constituents

One of my research focuses on understanding the global distribution of carbon monoxide using the integration of global chemical transport forward and inverse modeling with in-situ and remote sensed measurements. One of the specific questions that is of current interest to me is the impact of biomass burning (its temporal and spatial variability) to the global distribution of carbon monoxide.

My PhD dissertation under Dr. Prasad Kasibhatla of Nicholas School of the Environment, Duke University focused on developing robust, spatially and temporally resolved estimates of global CO sources using the top-down approach in direct combination with GEOS-Chem GCTM and MOPITT-derived and NOAA ESRL GMD CO measurements.

Friedli, H., A.F. Arellano, S. Cinnirella, and N. Pirrone, (2009), Mercury Emissions from Global Biomass Burning: Spatial and Temporal Distribution, in Mercury Fate and Transport in the Global Atmosphere, eds. N. Pirrone and R. Mason, Spinger, New York, p. 193-220.

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, electronic journal. News Article

Bian, H., M. Chin, S.R. Kawa, B. Duncan, A. Arellano, and P. Kasibhatla, (2007), Sensitivity of global CO simulations to uncertainties in biomass burning sources, J. Geophys. Res., 112, D23308, doi:10.1029/2006JD008376, electronic journal.

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, electronic journal.

Arellano, A.F., Kasibhatla, P.S., Giglio, L., van der Werf, G.R., Randerson, J.T., and G. Collatz, (2006), Time-dependent inversion estimates of global biomass burning CO emissions using MOPITT measurements, J. Geophys. Res., 111, D09303, doi:10.1029/2005JD006613, electronic journal.

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

van der Werf, G.R., Randerson, J.T., Collatz, G.J., Giglio, L., Kasibhatla, P.S., Arellano, A.F. Jr., Olsen, S.C., 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.

Kasibhatla, P.S., Arellano, A., Logan, J.A., Palmer, P.I., and P. Novelli. Top-down estimate of a large source of atmospheric carbon monoxide associated with fuel combustion in Asia, (2002), Geophys. Res. Lett., 29(19),1900, doi:10.1029/2002GL015581, electronic journal.

E. Regional to Global Air Quality

Long-range transport study of Indonesian biomass burning haze using CSIRO DARLAM (work done for my masters at National University of Singapore in collaboration with Dr. John McGregor of CSIRO Marine and Atmospheric Research).

Koe, L.C.C., Arellano, A.F. and J.L. McGregor, (2003), Application of DARLAM to regional haze modeling, Pure Appl. Geophys., 160, 189-204.

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. Envi., 35, 2723-2734.

Community Service

Reviewed articles in Journal of Geophysical Research, Geophysical Research Letters, Atmospheric Chemistry and Physics, Atmospheric Environment, Remote Sensing of Environment, Water, Air & Soil Pollution. Member, American Geophysical Union, American Meteorological Society. Participant, NASA Proposal Review Panel.