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Staff information

Casey Burleyson

Atmospheric Measurement & Data Sciences
Scientist
Pacific Northwest National Laboratory
PO Box 999
MSIN: K9-24
Richland, WA 99352

Biography

Casey Burleyson is a research scientist at PNNL. His research interests revolve around understanding the factors that control cloud formation and organization and examining how clouds interact with the broader climate system. He uses observational data sets from field campaigns and satellites to statistically characterize the environments in which clouds and precipitation form. Additionally he has contributed to the development of a state-of-the-art building energy demand model and is helping to design a system to archive and disseminate data generated at the lab

Research Interests

  • Cloud and precipitation formation and organization
  • Building energy demand and human-earth system interactions
  • Scientific data management

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
  • National Association of Geoscience Teachers (NAGT), 2012-Present

Awards and Recognitions

  • "Best Talk" Award at the PNNL Postdoctoral Research Symposium, 2014
  • NASA Earth and Space Science Fellowship, 2010-2013
  • NSF IGERT Fellowship, 2007-2008

PNNL Publications

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
  • 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

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. D. (Atmospheres) 119, no. 21:12,052-12,068. PNNL-SA-100601. doi:10.1002/2014JD022143

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