Staff information

Biography

Dr. Casey Burleyson is a research scientist at the Department of Energy's Pacific Northwest National Laboratory. A meteorologist by training, Casey currently works on a broad range of topics ranging from understanding the factors that control cloud formation and organization to simulating climate and population impacts on energy demand. He is a strong advocate for the accelerating trend of open science, including the use of open-source software and public data repositories. Casey is currently leading the development of a collaborative data platform for the MultiSector Dynamics community.

Research Interests

• Cloud and precipitation formation and organization
• Building energy demand and human-earth system interactions
• Climate impacts on electric system vulnerability
• Scientific data management and open science

Education and Credentials

• Ph.D., Atmospheric Sciences, North Carolina State University
• M.S., Applied Physics, Columbia University
• B.S., Meteorology, North Carolina State University

Affiliations and Professional Service

• American Geophysical Union (AGU), 2007-Present
• American Meteorological Society (AMS), 2006-Present

Awards and Recognitions

• NASA Earth and Space Science Fellowship, 2010-2013
• NSF IGERT Fellowship, 2007-2008

PNNL Publications

2024

• Bracken C.W., N. Voisin, C.D. Burleyson, A.M. Campbell, Z. Hou, and D.P. Broman. 2024. "Standardized Benchmark of Historical Compound Wind and Solar Energy Droughts Across the Continental United States." Renewable Energy 220. PNNL-SA-186419. doi:10.1016/j.renene.2023.119550

2023

• Yan H., N. Sun, H.A. Eldardiry, T.B. Thurber, P. Reed, K. Malek, and R. Gupta, et al. 2023. "Characterizing uncertainty in Community Land Model version 5 hydrological applications in the United States." Scientific Data 10. PNNL-SA-177243. doi:10.1038/s41597-023-02049-7

2022

• 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." Journal of the Atmospheric Sciences 79, no. 3:723-743. PNNL-SA-161289. doi:10.1175/JAS-D-21-0141.1
• McGrath C.R., C.D. Burleyson, Z. Khan, A. Rahman, T.B. Thurber, C.R. Vernon, and N. Voisin, et al. 2022. "tell: A Python package to model future total electricity loads." Journal of Open Source Software 7, no. 79:4472. PNNL-SA-173932. doi:10.21105/joss.04472
• Rahman A., A.D. Smith, Y. Xie, J.V. Thomas, and C.D. Burleyson. 2022. "Methodology and Analytical Approach to Investigate the Impact of Building Temperature Setpoint Schedules." Journal of Building Performance Simulation 15, no. 1:128-147. PNNL-SA-162464. doi:10.1080/19401493.2021.2009031

2021

• 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." Applied Energy 304. PNNL-SA-162206. doi:10.1016/j.apenergy.2021.117711
• Khan Z., G.C. Iyer, P.L. Patel, S.H. Kim, M.I. Hejazi, C.D. Burleyson, and M.A. Wise. 2021. "Impacts of long-term temperature change and variability on electricity investments." Nature Communications 12, no. 1:Article No. 1643. PNNL-SA-150975. doi:10.1038/s41467-021-21785-1

2020

• Burleyson C.D., G.C. Iyer, M.I. Hejazi, S.H. Kim, P. Kyle, J.S. Rice, and A.D. Smith, et al. 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. PNNL-SA-151017. doi:10.1016/j.energy.2020.118312
• Hagos S.M., C. Zhang, L. Leung, O.A. Garuba, C.D. Burleyson, and K. Balaguru. 2020. "Impacts of insolation and soil moisture on the seasonality of interactions between the Madden-Julian Oscillation and Maritime Continent." Journal of Geophysical Research: Atmospheres 125, no. 13:Article No. e2020JD032382. PNNL-SA-150515. doi:10.1029/2020JD032382

2019

• Hagos S.M., C. Zhang, L. Leung, C.D. Burleyson, and K. Balaguru. 2019. "A zonal migration of monsoon moisture flux convergence and the strength of Madden-Julian Oscillation Events." Geophysical Research Letters 46, no. 14:8554-8562. PNNL-SA-143132. doi:10.1029/2019GL083468
• Taylor Z.T., Y. Xie, C.D. Burleyson, N. Voisin, and I.P. Kraucunas. 2019. "A Multi-Scale Calibration Approach for Process-Oriented Aggregated Building Energy Demand Models." Energy and Buildings 191. PNNL-SA-134730. doi:10.1016/j.enbuild.2019.02.018

2018

• Burleyson C.D., N. Voisin, Z.T. Taylor, Y. Xie, and I.P. Kraucunas. 2018. "Simulated Building Energy Demand Biases Resulting from the Use of Representative Weather Stations." Applied Energy 209. PNNL-SA-125597. doi:10.1016/j.apenergy.2017.08.244
• Burleyson C.D., S.M. Hagos, Z. Feng, B. Kerns, and D. Kim. 2018. "Large-scale Environmental Characteristics of MJOs that Strengthen and Weaken Over the Maritime Continent." Journal of Climate 31, no. 14:5731-5748. PNNL-SA-128529. doi:10.1175/JCLI-D-17-0576.1
• Machado L., A. Calheiros, T. Biscaro, S. Giangrande, M.F. Silva Dias, M.A. Cecchini, and R. Albrecht, et al. 2018. "Overview: Precipitation Characteristics and Sensitivities to Environmental Conditions during GoAmazon2014/5 and ACRIDICON-CHUVA." Atmospheric Chemistry and Physics 18, no. 9:6461-6482. PNNL-SA-134180. doi:10.5194/acp-18-6461-2018
• Sakaguchi K., L. 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)." Journal of Geophysical Research: Atmospheres 123, no. 16:8374-8399. PNNL-SA-134715. doi:10.1029/2018JD028999
• Wang H., C.D. Burleyson, P. 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." Journal of Climate 31, no. 8:3301-3325. PNNL-SA-125329. doi:10.1175/JCLI-D-17-0362.1
• Xie Y., C.D. Burleyson, I.P. Kraucunas, Z.T. Taylor, and N. Voisin. 2018. The Building ENergy Demand (BEND) Model: A Comprehensive Composite Building Energy Modeling Framework. PNNL-27687. Richland, WA: Pacific Northwest National Laboratory. The Building ENergy Demand (BEND) Model: A Comprehensive Composite Building Energy Modeling Framework

2017

• Bramer L.M., J. Rounds, C.D. Burleyson, D.C. Fortin, J.E. Hathaway, J.S. Rice, and I.P. Kraucunas. 2017. "Evaluating Penalized Logistic Regression Models to Predict Heat-Related Electric Grid Stress Days." Applied Energy 205. PNNL-SA-126567. doi:10.1016/j.apenergy.2017.09.087
• Giangrande S., Z. Feng, M. Jensen, J.M. Comstock, K. Johnson, T. Toto, and M. Wang, et al. 2017. "Cloud Characteristics, Thermodynamic Controls and Radiative Impacts During the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) Experiment." Atmospheric Chemistry and Physics 17, no. 23:14519-14541. PNNL-SA-129543. doi:10.5194/acp-17-14519-2017

2016

• Burleyson C.D., Z. Feng, S.M. Hagos, J.D. Fast, L. Machado, S.T. Martin, and S.T. Martin. 2016. "Spatial Variability of the Background Diurnal Cycle of Deep Convection around the GoAmazon2014/15 Field Campaign Sites." Journal of Applied Meteorology and Climatology 55, no. 7:1579-1598. PNNL-SA-111694. doi:10.1175/JAMC-D-15-0229.1
• Feng Z., L. Leung, S.M. Hagos, R.A. Houze, C.D. Burleyson, and K. Balaguru. 2016. "More frequent intense and long-lived storms dominate the springtime trend in central U.S. rainfall." Nature Communications 7. PNNL-SA-122022. doi:10.1038/ncomms13429
• Hagos S.M., C. Zhang, Z. Feng, C.D. Burleyson, C. DeMott, B. Kerns, and J. Benedict, et al. 2016. "The impact of the diurnal cycle on the propagation of Madden-Julian Oscillation convection across the Maritime Continent." Journal of Advances in Modeling Earth Systems 8, no. 4:1552-1564. PNNL-SA-118613. doi:10.1002/2016MS000725
• Hagos S.M., Z. Feng, C.D. Burleyson, C. Zhao, M. Martini, and L.K. Berg. 2016. "Moist process biases in simulations of the Madden-Julian Oscillation episodes observed during the AMIE/DYNAMO field campaign." Journal of Climate 29, no. 3:1091-1107. PNNL-SA-110414. doi:10.1175/JCLI-D-15-0349.1

2015

• Burleyson C.D., and S.E. Yuter. 2015. "Patterns of Diurnal Marine Stratocumulus Cloud Fraction Variability." Journal of Applied Meteorology and Climatology 54, no. 4:847-866. PNNL-SA-103856. doi:10.1175/JAMC-D-14-0178.1
• Burleyson C.D., and S.E. Yuter. 2015. "Subdiurnal Stratocumulus Cloud Fraction Variability and Sensitivity to Precipitation." Journal of Climate 28, no. 8:2968-2985. PNNL-SA-105121. doi:10.1175/JCLI-D-14-00648.1
• Burleyson C.D., C.N. Long, and J.M. Comstock. 2015. "Quantifying Diurnal Cloud Radiative Effects by Cloud Type in the Tropical Western Pacific." Journal of Applied Meteorology and Climatology 54, no. 6:1297-1312. PNNL-SA-106270. doi:10.1175/JAMC-D-14-0288.1
• Feng Z., S.M. Hagos, A. Rowe, C.D. Burleyson, M. Martini, and S. de Szoeke. 2015. "Mechanisms of Convective Cloud Organization by Cold Pools over Tropical Warm Ocean during the AMIE/DYNAMO Field Campaign." Journal of Advances in Modeling Earth Systems 7, no. 2:357-381. PNNL-SA-105094. doi:10.1002/2014MS000384
• Wilbanks M.C., S.E. Yuter, S. de Szoeke, W.A. Brewer, M.A. Miller, A.M. Hall, and C.D. Burleyson. 2015. "Near-surface Density Currents Observed in the Southeast Pacific Stratocumulus-topped Marine Boundary Layer." Monthly Weather Review 143, no. 9:3532-3555. PNNL-SA-106272. doi:10.1175/MWR-D-14-00359.1

2014

• Hagos S.M., Z. Feng, C.D. Burleyson, K. Lim, C.N. Long, D. Wu, and G. Thompson. 2014. "Evaluation of convection-permitting model simulations of cloud populations associated with the Madden-Julian Oscillation using data collected during the AMIE/DYNAMO field campaign." Journal of Geophysical Research: Atmospheres 119, no. 21:12,052-12,068. PNNL-SA-100601. doi:10.1002/2014JD022143