Acharya, S., and Coauthors, 2024: Weather sensitive high spatio-temporal resolution transportation electric load profiles for multiple decarbonization pathways. Conference paper in the 2024 IEEE Power and Energy Society IGST Conference.
* Winner of the "Best Paper" award

Ssembatya, H., J. D. Kern, K. Oikonomou, N. Voisin, C. D. Burleyson, and K. Z. Akdemir, 2024: Dual impacts of space heating electrification and climate change drive uncertainties in peak load behavior and future grid reliability. Earth’s Future, 12, e2024EF004443, doi:10.1029/2024EF004443. [Link] [Data and Code]

Bracken, C., N. Voisin, C. D. Burleyson, A. Campbell, Z. J. Hou, and D. Broman, 2023: Standardized benchmark of historical compound wind and solar energy droughts across the continental United States. Renewable Energy, 220, doi:10.1016/j.renene.2023.119550. [Link]

Yan, H., and Coauthors, 2023: Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States. Scientific Data, 10(187), doi:10.1038/s41597-023-02049-7. [Link]

Barber, K. A., C. D. Burleyson, Z. Feng, and S. M. Hagos, 2022: The influence of shallow cloud populations on transitions to deep convection in the Amazon. J. Atmos. Sci., 79(3), 723-743, doi:10.1175/JAS-D-21-0141.1. [Link]

McGrath, C., C. D. Burleyson, Z. Khan, A. Rahman, T. Thurber, C. R. Vernon, N. Voisin, and J. S. Rice, 2022: tell: A Python package to model future electricity loads. Journal of Open Source Software, 7(79), 4472, doi:10.21105/joss.04472. [Link]

Rahman, A., A. D. Smith, Y. Xie, J. Thomas, and C. D. Burleyson, 2022: Methodology and analytical approach to investigate the impact of building temperature setpoints. Journal of Building Performance Simulation, 15(1), 128-147, doi:10.1080/19401493.2009031. [Link] [Data and Code]

Reed, P. M., and Coauthors, 2022: MultiSector Dynamics: Advancing the science of complex adaptive human-Earth systems. Earth's Future, 10, e2021EF002621, doi:10.1029/2021EF002621. [Link]

Burleyson, C. D., A. Rahman, J. S. Rice, A. D. Smith, and N. Voisin, 2021: Multiscale effects masked the impact of the COVID-19 pandemic on electricity demand in the United States. Appl. Energy, 304, 117711, doi:10.1016/j.apenergy.2021.117711. [Link] [Data and Code]

Khan, Z., G. C. Iyer, P. L. Patel, S. Kim, M. I. Hejazi, C. D. Burleyson, and M. A. Wise, 2021: Impacts of long-term temperature change and variability on electricity investments. Nat. Commun., 12, 1643, doi:10.1038/s41467-021-21785-1. [Link]

Burleyson, C. D., and Coauthors, 2020: Future western U.S. building electricity consumption in response to climate and population drivers: A comparative study of the impact of model structure. Energy, 208, 118312, doi:10.1016/j.energy.2020.118312. [Link] [Data and Code]

Hagos, S. M., C. Zhang, L. R. Leung, O. Garuba, C. D. Burleyson, and K. Balaguru, 2020: Impacts of insolation and soil moisture on seasonality interactions between the Madden-Julian Oscillation and Maritime Continent. J. Geophys. Res. Atmos., 125, doi:10.1029/2020JD032382. [Link]

Hagos, S. M., C. Zhang, L. R. Leung, C. D. Burleyson, and K. Balaguru, 2019: Zonal migration of monsoon moisture flux convergence and the strength of Madden-Julian Oscillation events. Geophys. Res. Lett., 46, doi:10.1029/2019GL083468. [Link]

Taylor, Z. T., Y. Xie, C. D. Burleyson, N. Voisin, and I. Kraucunas, 2019: A multi-scale calibration approach for process-oriented aggregated building energy demand models. Energy and Buildings, 191, 82-94, doi:10.1016/j.enbuild.2019.02.018. [Link]

Burleyson, C. D., S. M. Hagos, Z. Feng, B. W. J. Kerns, and D. Kim, 2018: Large-scale environmental characteristics of MJOs that strengthen and weaken over the Maritime Continent. J. Climate, 31, 5731-5748, doi:10.1175/JCLI-D-17-0576.1. [Link]

Burleyson, C. D., N. Voisin, Z. T. Taylor, Y. Xie, and I. Kraucunas, 2018: Simulated building energy demand biases resulting from the use of representative weather stations. Appl. Energy, 209, 516-528, doi:10.1016/j.apenergy.2017.08.244. [Link] [Data and Code]

Machado, L. A. T., and Coauthors, 2018: Overview: Precipitation characteristics and sensitivities to the environmental conditions during GoAmazon2014/5 and ACRIDICON-CHUVA. Atmos. Chem. Phys., 18, 6461-6482, doi:10.5194/acp-2017-990. [Link]

Sakaguchi, K., L. R. Leung, C. D. Burleyson, H. Xiao, and H. Wan, 2018: Role of troposphere-convection-land coupling in the southwestern Amazon precipitation bias of the Community Earth System Model version 1 (CESM1). J. Geophys. Res. Atmos., 123, doi:10.1029/2018JD028999. [Link]

Wang, H., C. D. Burleyson, P.-L. Ma, J. D. Fast, and P. J. Rasch, 2018: Using the Atmospheric Radiation Measurement (ARM) datasets to evaluate climate models in simulating diurnal and seasonal variations of tropical clouds. J. Climate, 31, 3301-3325, doi:10.1175/JCLI-D-17-0362.1. [Link]

Bramer, L. M., J. Round, C. D. Burleyson, D. Fortin, J. Hathaway, J. Rice, and I. Kraucunas, 2017: Evaluating penalized logistic regression models to predict heat-related grid stress days. Appl. Energy, 205, 1408-1418, doi:10.1016/j.apenergy.2017.09.087. [Link]

Giangrande, S. E., and Coauthors, 2017: Cloud characteristics, thermodynamic controls and radiative impacts during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment. Atmos. Chem. Phys., 17, 14519-14541, doi:10.5194/acp-2017-452. [Link]

Burleyson, C. D., Z. Feng, S. M. Hagos, J. Fast, L. A. T. Machado, and S. T. Martin, 2016: Spatial variability of the background diurnal cycle of deep convection around the GoAmazon2014/5 field campaign sites. J. Appl. Meteor. Climatol., 55, 1579-1598, doi:10.1175/JAMC-D-15-0229.1. [Link]

Feng Z., L. R. Leung, S. M. Hagos, R. A. Houze Jr., C. D. Burleyson, and K. Balaguru 2016: More frequent intense and long-lived storms dominate the trend in central US rainfall. Nat. Commun., 7, 13429, doi:10.1038/NCOMMS13429. [Link]

Hagos, S. M., Z. Feng, C. D. Burleyson, C. Zhao, M. N. Martini, and L. K. Berg, 2016a: Moist process biases in simulations of the Madden-Julian Oscillation episodes observed during the AMIE/DYNAMO field campaign. J. Climate, 29, 1091-1107, doi:10.1175/JCLI-D-15-0349.1. [Link]

Hagos, S. M., C. Chang, Z. Feng, C. D. Burleyson, C. de Mott, J. J. Benedict, and M. N. Martini, 2016b: The impact of the diurnal cycle on the propagation of Madden-Julian Oscillation convection across the Maritime Continent. J. Adv. Model. Earth Syst., 8, doi:10.1002/20 16MS000725. [Link]

Burleyson, C. D., C. N. Long, and J. M. Comstock, 2015: Quantifying diurnal cloud radiative effects by cloud type in the tropical western Pacific. J. Appl. Meteor. Climatol., 54, 1297-1312, doi:10.1175/JAMC-D-14-0288.1. [Link]

Burleyson, C. D., and S. E. Yuter, 2015a: Patterns of diurnal marine stratocumulus cloud fraction variability. J. Appl. Meteor. Climatol., 54, 847-866, doi:10.1175/JAMC-D-14-0178.1. [Link]

Burleyson, C. D., and S. E. Yuter, 2015b: Sub-diurnal stratocumulus cloud fraction variability and sensitivity to precipitation. J. Climate, 28, 2968-2985, doi:10.1175/JCLI-D-14-00648.1. [Link]

Feng, Z., S. Hagos, A. K. Rowe, C. D. Burleyson, M. N. Martini, and S. P. de Szoeke, 2015: Mechanisms of convective cloud organization by cold pools over tropical warm ocean during the AMIE/DYNAMO field campaign. J. Adv. Model. Earth Syst., 7, doi:10.1002/2014MS000384. [Link]

Wilbanks, M., and Coauthors, 2015: Near-surface density currents observed in the southeast Pacific stratocumulus-topped marine boundary layer. Mon. Wea. Rev., 143, 3532-3555, doi:10.1175/MWR-D-14-00359.1. [Link]

Hagos, S., Z. Feng, C. D. Burleyson, K.-S. Lim, C. N. Long, D. Wu, and G. Thompson, 2014: Evaluation of high resolution simulations of cloud populations in Madden-Julian Oscillation using data collected during AMIE/DYNAMO field campaign. J. Geophys. Res. Atmos., 119, 12052-12068, doi:10.1002/2014JD022143. [Link]

Burleyson, C. D., S. P. de Szoeke, S. E. Yuter, M. Wilbanks, and W. A. Brewer, 2013: Ship-based observations of the diurnal cycle of southeast Pacific marine stratocumulus clouds and precipitation. J. Atmos. Sci., 70, 3876-3894, doi:10.1175/JAS-D-13-01.1. [Link]

Allen, G., and Coauthors, 2012: Gravity-wave-induced perturbations in marine stratocumulus. Quart. J. Roy. Meteor. Soc., 139, 32-45, doi:10.1002/qj.1952. [Link]

de Szoeke, S. P., S. E. Yuter, D. Mechem, C. Fairall, C. D. Burleyson, and P. Zuidema, 2012: Observations of stratocumulus clouds and their effect on the eastern Pacific surface heat budget along 20°S. J. Climate, 25, 8541-8566, doi:10.1175/JCLI-D-11-00618.1. [Link]

Biasutti, M. S., S. E. Yuter, C. D. Burleyson, and A. H. Sobel, 2011: Very high resolution rainfall patterns measured by TRMM precipitation radar: Seasonal and diurnal cycles. Clim. Dyn., 39, 239-258, doi:10.1007/s00382-011-1146.6. [Link]

Sobel, A. H., C. D. Burleyson, and S. E. Yuter, 2011: Rain on small tropical islands. J. Geophys. Res., 116, D08102, doi:10.1029/2010JD014695. [Link]