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Ryan Sullivan

Assistant Atmospheric Scientist


Dr. Sullivan is an atmospheric scientist in the Environmental Science Division at Argonne National Laboratory. His research integrates in situ field measurements, remote sensing, numerical modeling, and data analytics (e.g., geospatial statistics/time series analysis/machine learning) to better understand atmospheric processes and their impacts on society. These approaches are being used to study:
-Atmospheric composition and chemistry pertaining to urban air quality and climate forcing via radiation scattering/absorbing and cloud-aerosol interactions
-Land-biosphere-atmosphere coupling via turbulent fluxes and their role in weather and climate extremes

Dr. Sullivan is the Lead Instrument Mentor for the Department of Energy’s Atmospheric Radiation Measurement (ARM) user facility’s Energy Balance Bowen Ratio (EBBR) systems, Eddy Correlation (ECOR) flux measurement systems, and Surface Energy Balance Systems (SEBS), and Associate Instrument Mentor for the Soil Temperature and Moisture Profile (STAMP) systems.

Dr. Sullivan is PI for AmeriFlux sites US-A10: ARM-NSA-Barrow (doi:10.17190/AMF/1498753) and US-A03: ARM-AMF3-Oliktok (doi:10.17190/AMF/1498752)

2017    Ph.D. Atmospheric Sciences, Cornell University
2016    M.S. Atmospheric Sciences, Cornell University
2014    M.S. Geological Sciences – Atmospheric Science, Indiana University
2012    B.S. Meteorology, Northern Illinois University
2010    A.S. William Rainey Harper College

Publications (full texts available on request):

Delwiche, K. B., Knox, S. H., Malhotra, A., Fluet-Chouinard, E., McNicol, G., Feron, S., Ouyang, Z., Papale, D., Trotta, C., Canfora, E., Cheah, Y., Christianson, D., Alberto, M. C. R., Alekseychik, P., Aurela, M., Baldocchi, D., Bansal, S., Billesbach, D. P., Bohrer, G., Bracho, R., Buchmann, N., Campbell, D. I., Celis, G., Chen, J., Chen, W., Chu, H., Dalmagro, H. J., Dengel, S., Desai, A. R., Detto, M., Dolman, H., Eichelmann, E., Euskirchen, E., Famulari, D., Friborg, T., Fuchs, K., Goeckede, M., Gogo, S., Gondwe, M. J., Goodrich, J. P., Gottschalk, P., Graham, S. L., Heimann, M., Helbig, M., Helfter, C., Hemes, K. S., Hirano, T., Hollinger, D., Hörtnagl, L., Iwata, H., Jacotot, A., Jansen, J., Jurasinski, G., Kang, M., Kasak, K., King, J., Klatt, J., Koebsch, F., Krauss, K. W., Lai, D. Y. F., Mammarella, I., Manca, G., Marchesini, L. B., Matthes, J. H., Maximon, T., Merbold, L., Mitra, B., Morin, T. H., Nemitz, E., Nilsson, M. B., Niu, S., Oechel, W. C., Oikawa, P. Y., Ono, K., Peichl, M., Peltola, O., Reba, M. L., Richardson, A. D., Riley, W., Runkle, B. R. K., Ryu, Y., Sachs, T., Sakabe, A., Sanchez, C. R., Schuur, E. A., Schäfer, K. V. R., Sonnentag, O., Sparks, J. P., Stuart-Haëntjens, E., Sturtevant, C., Sullivan, R. C., Szutu, D. J., Thom, J. E., Torn, M. S., Tuittila, E., Turner, J., Ueyama, M., Valach, A. C., Vargas, R., Varlagin, A., Vazquez-Lule, A., Verfaillie, J. G., Vesala, T., Vourlitis, G., L., Ward, E. J., Wille, C., Wohlfahrt, G., Wong, G. X., Zhang, Z., Zona, D., Windham-Myers, L., Poulter, B., and Jackson, R. B. (in review). FLUXNET-CH4: A global, multi-ecosystem database and analysis of methane seasonality from freshwater wetlands.

Chu, H., Luo, X., Ouyang, Z., Ouyang, Z., Chan, S., Dengel, S., Biraud, S. C., Torn, M. S., Metzger. S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Bracho, R., Brown, S., Brunsell, N.A., Chen, J., Chen, X., Clark, K., Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J., Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa, H., Iwata, H., Ju, Y., Knowles. J. F., Knox, S., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick, K., Oberbauer, S., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E., Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E. S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C., Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A., Ueyama, M., Vargas, R., Wood, J. D., and Zona, D. (in review). Footprint representativeness of eddy-covariance flux measurements across AmeriFlux sites.

Bao, T., Xu, X., Jia, G., Billesbach, D. P., and Sullivan, R. C. (in review). Much stronger tundra methane emissions during autumn-freeze than spring-thaw.

Helbig, M., Gerken, T., Beamesderfer, E., Baldocchi, D. D., Banerjee, T., Biraud, S. C., Brown, W. O. J., Brunsell, N. A., Burakowski, W. A., Burns, S. P., Butterworth. B. J., Chan, W. S., Davis, K. J., Desai, A. R., Fuentes, J. D., Hollinger, D. Y., Kljun, N., Mauder, M., Novick, K. A., Perkins, J. M., Rahn, D. A., Rey-Sanchez, C., Santanello, J. A., Scott, R. L., Seyednasrollahm, B., Stoy, P. C., Sullivan, R. C., Vilà-Guerau de Arellano, J., Wharton, S., Yi, C., and Richardson, A. D. (in review). Integrating continuous atmospheric boundary layer and tower-based flux measurements to advance understanding of land-atmosphere interactions.

Helbig, M., Gerken, T., Beamesderfer, E., Baldocchi, D. D., Banerjee, T., Biraud, S. C., Brunsell, N. A., Burns, S. P., Chan, W. S., Desai, A. R., Fuentes, J. D., Hollinger, D. Y., Kljun, N., Mauder, M., Rey-Sanchez, C., Seyednasrollahm, B., Stoy, P. C., Sullivan, R. C., Vilà-Guerau de Arellano, J., Wharton, S., Yi, C., and Richardson, A. D. (2020). Understanding biosphere-atmosphere interactions through tower-based flux and continuous atmospheric boundary layer measurements. DOE AmeriFlux Whitepaper.

Beckman, P., Catlett, C., Ahmed, M., Alawad, M., Bai, L., Balaprakash, P., Barker, K., Berry, R., Bhuyan, A., Brebner, G., Burkes, K., Butko, A., Cappello, F., Chard, R., Collis, S., Cree, J., Dasgupta, D., Evdokimov, A., Fields, J., Fuhr, P., Harper, C., Jin, Y., Kettimuthu, R., Kiran, M., Kozma, R., Kumar, P., Kumar, Y., Luo, L., Mashayekhy, L., Monga, I., Nickless, B., Pappas, T., Peterson, E., Pfeffer, T., Rakheja, S., Rodriguez Tribaldos, V., Rooke, S., Roy, S., Saadawi, T., Sandy, A., Sankaran, R., Schwarz, N., Somnath, S., Stan, M., Stuart, C., Sullivan, R., Sumant, A., Tchilinguirian, G., Tran, N., Veeramany, A., Wang, A., Wang, B., Wiedlea, A., Wielandt, S., Windus, T., Wu, Y., Yang, X., Yao, Z., Yu, R., Zeng, Y., and Zhang, Y. (2020). 5G-Enabled energy innovation: Advanced wireless networks workshop for science. Workshop report. doi: 10.2172/1606538

Sullivan, R. C., Kotamarthi, V. R., and Feng, Y. (2019). Recovering evapotranspiration trends from biased CMIP5 simulations and sensitivity to changing climate over North America. Journal of Hydrometeorology, 20(8), 16191633. doi:10.1175/JHM-D-18-0259.1
ARM Research Highlight

Crippa, P., Sullivan, R. C., Thota, A., and Pryor, S. C. (2019). Sensitivity of simulated aerosol properties over eastern North America to WRF-Chem parameterizations. Journal of Geophysical Research: Atmospheres, 124(6), 3365-3383. doi:10.1029/2018JD029900

Tang, S., Xie, S., Zhang, M., Tang, Q., Zhang, Y., Klein, S. A., Cook, D. R., and Sullivan, R. C. (2019). Differences in eddy-correlation and energy-balance surface turbulent heat flux measurements and their impacts on the large-scale forcing fields at the ARM SGP site. Journal of Geophysical Research: Atmospheres124(6), 3301-3318. doi:10.1029/2018JD029689
ARM Research Highlight

Sullivan, R. C., Cook, D. R., Ghate, V. P., Kotamarthi, V. R., and Feng, Y. (2019). Improved spatiotemporal representativeness and bias reduction of satellite-based evapotranspiration retrievals via use of in situ meteorology and constrained canopy surface resistance. Journal of Geophysical Research: Biogeosciences, 124(2), 342-352. doi:10.1029/2018JG004744
ARM Research Highlight

Sullivan, R. C., Crippa, P., Matsui, H., Leung, L. Y. R., Zhao, C., Thota, A., and Pryor, S. C. (2018). New particle formation leads to cloud dimming. Npj Climate and Atmospheric Science, 1(1). doi:10.1038/s41612-018-0019-7

Sullivan, R. C., Levy, R. C., da Silva, A. M., and Pryor, S. C. (2017). Developing and diagnosing climate change indicators of regional aerosol optical properties. Scientific Reports, 7:18093. doi:10.1038/s41598-017-18402-x

Pryor, S. C., Sullivan, R. C., and Schoof J. T. (2017). Modeling the contributions of global air temperature, synoptic-scale phenomena and soil moisture to near-surface static energy variability using artificial neural networks. Atmospheric Chemistry and Physics, 17(23), 14457-14471. doi:10.5194/acp-17-14457-2017

Crippa, P., Sullivan, R. C., Thota, A., and Pryor, S. C. (2017). The impact of resolution on meteorological, chemical and aerosol properties in regional simulations with WRF-Chem. Atmospheric Chemistry and Physics, 17, 15111528. doi:10.5194/acp-17-1511-2017

Sullivan, R. C., Crippa, P., Hallar A. G., Clarisse, L., Whitburn, S., Van Damme, M., Leaitch, W. R., Walker, J., Khlystov, A., and Pryor S. C. (2016). Using satellite-based measurements to explore spatiotemporal scales and variability of drivers of new particle formation. Journal of Geophysical Research: Atmospheres, 121, 1221712235. doi:10.1002/2016JD025568

Pryor, S. C., Joerger, V. M., and Sullivan, R. C. (2016). Empirical estimates of size-resolved precipitation scavenging coefficients for ultrafine particles. Atmospheric Environment, 143, 133-138. doi:10.1016/j.atmosenv.2016.08.036

Sullivan, R. C. and Pryor, S. C. (2016). Dynamic and chemical controls on new particle formation occurrence and characteristics from in situ and satellite-based measurements. Atmospheric Environment, 127, 316-325. doi:10.1016/j.atmosenv.2015.12.050

Pryor, S. C., Sullivan, R. C., and Wright, T. (2016). Quantifying the roles of changing albedo, emissivity, and energy partitioning in the impact of irrigation on atmospheric heat content. Journal of Applied Meteorology and Climatology, 55, 16991706. doi:10.1175/JAMC-D-15-0291.1

Crippa, P., Sullivan, R. C., Thota, A., and Pryor, S. C. (2016). Evaluating the skill of high-resolution WRF-Chem simulations in describing drivers of aerosol direct climate forcing at the regional scale. Atmospheric Chemistry and Physics, 16, 397416. doi:10.5194/acp-16-397-2016

Sullivan, R. C., Levy, R. C., and Pryor, S. C. (2015). Spatiotemporal coherence of mean and extreme aerosol particle events over eastern North America as observed from satellite. Atmospheric Environment, 112, 126-135. doi:10.1016/j.atmosenv.2015.04.026

Sullivan, R. C. and Pryor, S. C. (2014). Quantifying spatiotemporal variability of fine particles in an urban environment using combined fixed and mobile measurements. Atmospheric Environment, 89, 664-671. doi:10.1016/j.atmosenv.2014.03.007