Publications for CloudSat/CALIPSO

Publication Citation
Allen, D., K. Pickering, M. Avery, Z. Li, S. Shan, C.A.M. Rodriguez, and P. Artaxo (2024), A CloudSat and CALIPSO-Based Evaluation of the Effects of Thermodynamic Instability and Aerosol Loading on Amazon Basin Deep Convection and Lightning, J. Geophys. Res..
Cesana, G.V., A.S. Ackerman, A.M. Fridlind, I. Silber, and M. Kelley (2021), Snow Reconciles Observed and Simulated Phase Partitioning and Increases Cloud Feedback, Geophys. Res. Lett., 48, e2021GL094876, doi:10.1029/2021GL094876.
Cesana, G.V., A.S. Ackerman, N. Crnivec, R. Pincus, and H. Chepfer (2023), An observation-based method to assess tropical stratocumulus and shallow cumulus clouds and feedbacks in CMIP6 and CMIP5 models, Environmental Research Communications, 5, 045001, doi:10.1088/2515-7620/acc78a.
Hong, Y., S.W. Nesbitt, R.J. Trapp, and L. Di Girolamo (2023), Near-global distributions of overshooting tops derived from Terra and Aqua MODIS observations, Atmos. Meas. Tech., 16, 1391-1406, doi:10.5194/amt-16-1391-2023.
Naud, C.M., J.E. Martin, P. Ghosh, G.S. Elsaesser, and D.J. Posselt (2023), Automated identification of occluded sectors in midlatitude cyclones: Method and some climatological applications, Q. J. R. Meteorol. Soc., early on-line, doi:10.1002/qj.4491.
Stephens, G., D. Winker, J. Pelon, C. Trepte, D. Vane, C. Yuhas, T. L’Ecuyer, and M. Lebsock (2024), Cloudsat And Calipso Within The A-Train: Ten Years of Actively Observing the Earth System, Bull. Am. Meteorol. Soc., doi:10.1175/BAMS-D-16-0324.1.
Wang, D., C.A. Yang, and M. Diao (2024), Validation of satellite-based cloud phase distributions using global-scale in situ airborne observations, Earth and Space Science, 11, e2023EA003355, doi:10.1029/2023EA003355.
Wu, S.-N., B.J. Soden, and G.J. Alaka (2023), The Influence of Radiation on the Prediction of Tropical Cyclone Intensification in a Forecast Model, Geophys. Res. Lett..
Yost, C.R., P. Minnis, S. Sun-Mack, Y. Chen, and W.L. Smith (2021), CERES MODIS Cloud Product Retrievals for Edition 4—Part II: Comparisons to CloudSat and CALIPSO, IEEE Trans. Geosci. Remote Sens., 59, 3695-3724, doi:10.1109/TGRS.2020.3015155.