Cloud regimes over the Amazon Basin: perspectives from the GoAmazon2014/5 campaign

Giangrande, Scott E.; Wang, Dié; Mechem, David B.

doi:https://doi.org/10.5194/acp-20-7489-2020

Articles | Volume 20, issue 12

https://doi.org/10.5194/acp-20-7489-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5)...

https://doi.org/10.5194/acp-20-7489-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 12

Research article

|

29 Jun 2020

Research article |

| 29 Jun 2020

Cloud regimes over the Amazon Basin: perspectives from the GoAmazon2014/5 campaign

Scott E. Giangrande, Dié Wang, and David B. Mechem

Supplement

https://doi.org/10.5194/acp-20-7489-2020-supplement

Data sets

Atmospheric Radiation Measurement (ARM) user facility, updated hourly, Balloon-Borne Sounding System (SONDEWNPN) D. Holdridge, M. Ritsche, R. Coulter, J. Kyrouac, and E. Keeler https://doi.org/10.5439/1021460

Atmospheric Radiation Measurement (ARM) user facility, updated hourly, Active Remote Sensing of CLouds (ARSCL1CLOTH) S. Giangrande and K. Johnson https://doi.org/10.5439/1027282

Atmospheric Radiation Measurement (ARM): Climate Research Facility, Updated hourly, Radar Wind Profiler (1290RWP-PRECIPMOM) R. Coulter, T. Martin, and P. Muradyan https://doi.org/10.5439/1025128

Atmospheric Radiation Measurement (ARM), Climate Research Facility, updated monthly, SCM-Forcing DATA from variational analysis (VARANAL) S. Tang, S. Xie, and Y. Zhang https://doi.org/10.5439/1273323

Model code and software

MetPy: A Python Package for Meteorological Data. Version 0.12.1.post2 (https://github.com/Unidata/MetPy) R. M. May, S. C. Arms, P. Marsh, E. Bruning, J. R. Leeman, K. Goebbert, J. E. Thielen, and Z. Bruick https://doi.org/10.5065/D6WW7G29

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Short summary

The Amazon basin experiences prolific and diverse cloud conditions that are strongly influenced by (and influence via feedbacks) seasonal shifts in the local conditions and larger-scale atmospheric circulations. The primary atmospheric regimes observed during a heavily instrumented 2-year Amazon deployment are classified. We assess the potential atmospheric controls on convective clouds, precipitation, and the propensity for these regimes to promote extremes in precipitation.