Articles | Volume 18, issue 9
https://doi.org/10.5194/acp-18-6493-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-18-6493-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 May 2018
Research article |
| 08 May 2018
| 08 May 2018
Microphysical variability of Amazonian deep convective cores observed by CloudSat and simulated by a multi-scale modeling framework
Science Systems and Applications, Inc., Hampton, VA, USA
Patrick C. Taylor
Climate Science Branch, NASA Langley Research Center, Hampton, VA, USA
Mark Branson
Department of Atmospheric Science, Colorado State University, Ft.
Collins, CO, USA
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Short summary
The vertical profiles of convection in the Amazon are sampled using CloudSat, with particular emphasis on day–night contrast. Focusing on vigorous deep convective cores reveals a distinct, previously unreported double-arc reflectivity feature in the contoured frequency by altitude diagram, likely corresponding with two modes of ice hydrometeor phase: snow versus graupel/hail. Replicating this feature in cloud-resolving models requires further improvements in the microphysical parameterization.
The vertical profiles of convection in the Amazon are sampled using CloudSat, with particular...
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