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David Painemal, Research Physical Scientist, Climate Science Branch, Science Directorate, NASA Langley Research Center

David Painemal

Research Physical Scientist, Climate Science Branch, Science Directorate, NASA Langley Research Center

About

Dr. David Painemal is a Research Physical Scientist for the Science Directorate at NASA Langley Research Center. He joined the CERES group as a NASA postdoctoral fellow, later transitioning into a scientist for 3 NASA contracts. His research interests include satellite remote sensing of clouds and aerosols, aerosol-cloud-radiation interactions, and the Earth radiation budget. Dr. Painemal has served as a Principal Investigator (PI) and co-PI for several projects funded by NASA and the Department of Energy and has published over 60 peer-reviewed articles. Dr. Painemal is currently a member of the CERES Cloud Working Group and the Satellite ClOud and Radiation Property retrieval System (SatCORPS).

Education/Professional Experience

  • Ph.D., Meteorology and Physical Oceanography, University of Miami

Publication Bibliography

Select Publications

  • Painemal., D., Smith W., Gupta, S., Moore, R., Cairns, B., McFarquhar, G., O’Brien, J. (2025). Can we rely on satellite visible/infrared microphysical retrievals of boundary layer clouds in partially cloudy scenes? Implications for climate research (in press).
  • Zhou, X., Painemal, D., Gettleman, A., & Feingold, G. (2025). Exploring causal relationships and adjustment timescales of aerosol-cloud interactions in geostationary satellite observations and CAM6 using wavelet phase coherence analysis. Geophysical Research Letters, 52, e2024GL111961. https://doi.org/10.1029/2024GL111961.
  • Chellappan, S., and Coauthors, (2024). Microphysical Evolution in Mixed-Phase Midlatitude Marine Cold-Air Outbreaks. J. Atmos. Sci., 81, 1725–1747, https://doi.org/10.1175/JAS-D-23-0203.1.
  • Qiu, S., Zheng, X., Painemal, D., Terai, C. R., and Zhou, X. (2024). Daytime variation in the aerosol indirect effect for warm marine boundary layer clouds in the eastern North Atlantic, Atmos. Chem. Phys., 24, 2913–2935, https://doi.org/10.5194/acp-24-2913-2024.
  • Park, J. M., McComiskey, A. C., Painemal, D., & Smith, W. L., Jr. (2024). Long-term trends in aerosols, low clouds, and large-scale meteorology over the Western North Atlantic from 2003 to 2020. Journal of Geophysical Research: Atmospheres, 129, e2023JD039592. https://doi.org/10.1029/2023JD039592.
  • Painemal, D., Chellappan, S., Smith, W. L. Jr., Spangenberg, D., Park, J. M., Ackerman, A., et al. (2023). Wintertime synoptic patterns of midlatitude boundary layer clouds over the western North Atlantic: Climatology and insights from in situ ACTIVATE observations. Journal of Geophysical Research: Atmospheres, 128, e2022JD037725. https://doi.org/10.1029/2022JD037725.
  • Siu, L. W., Schlosser, J. S., Painemal, D., Cairns, B., Fenn, M. A., Ferrare, R. A., Hair, J. W., Hostetler, C. A., Li, L., Kleb, M. M., Scarino, A. J., Shingler, T. J., Sorooshian, A., Stamnes, S. A., and Zeng, X. (2023). Retrievals of aerosol optical depth over the western North Atlantic Ocean during ACTIVATE, Atmos. Meas. Tech., 17, 2739–2759, https://doi.org/10.5194/amt-17-2739-2024.
  • Li, Z., Painemal, D., Schuster, G., Clayton, M., Ferrare, R., Vaughan, M., Josset, D., Kar, J., and Trepte, C.: (2022). Assessment of tropospheric CALIPSO Version 4.2 aerosol types over the ocean using independent CALIPSO–SODA lidar ratios, Atmos. Meas. Tech., 15, 2745–2766, https://doi.org/10.5194/amt-15-2745-2022.
  • Kato, S., Rose, F. G., Chang, F.-L., Painemal, D., & Smith, W. L. (2021). Evaluation of regional surface energy budget over ocean derived from satellites. Frontiers in Marine Science, 8, 1264. https://doi.org/10.3389/fmars.2021.688299.
  • Painemal D., and Coauthors (2021). Evaluation of satellite retrievals of liquid clouds from the GOES-13 Imager and MODIS over the midlatitude North Atlantic during NAAMES campaign, Atmospheric Measurement Techniques, 14, 6633–6646, https://doi.org/10.5194/amt-14-6633-2021.
  • Minnis, P., Sun-Mack, S., Chen, Y., Chang, F., Yost, C. R., Smith, W. L., et al. (2020). CERES MODIS cloud product retrievals for edition 4–part I: Algorithm changes. IEEE Transactions on Geoscience and Remote Sensing, 1–37. https://doi.org/10.1109/TGRS.2020.3008866.

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