Articles | Volume 17, issue 23
https://doi.org/10.5194/acp-17-14519-2017
https://doi.org/10.5194/acp-17-14519-2017
Research article
 | 
06 Dec 2017
Research article |  | 06 Dec 2017

Cloud characteristics, thermodynamic controls and radiative impacts during the Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment

Scott E. Giangrande, Zhe Feng, Michael P. Jensen, Jennifer M. Comstock, Karen L. Johnson, Tami Toto, Meng Wang, Casey Burleyson, Nitin Bharadwaj, Fan Mei, Luiz A. T. Machado, Antonio O. Manzi, Shaocheng Xie, Shuaiqi Tang, Maria Assuncao F. Silva Dias, Rodrigo A. F de Souza, Courtney Schumacher, and Scot T. Martin

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Cited articles

Ackerman, T. P. and Stokes, G. M.: The Atmospheric Radiation Measurement Program, Phys. Today, 56, 38–44, doi:10.1063/1.1554135, 2003.
Alcântara, C. R., Dias, M., Silva, A. F., Souza, E. P., and Cohen, J. C. P.: Verification of the role of the low level jets in Amazon squall lines, Atmos. Res., 100, 36–44, 2011.
Anber, U., Gentine, P., Wang, S. G., and Sobel, A. H.: Fog and rain in the Amazon, P. Natl. Acad. Sci. USA, 112, 11473–11477, 2015.
Atmospheric Radiation Measurement (ARM): Climate Research Facility, updated hourly, Balloon-Borne Sounding System (SONDE), 3.21297 S 60.5981 W: ARM Mobile Facility (MAO) Manacapuru, Amazonas, Brazil; AMF1 (M1), compiled by: Holdridge, D., Kyrouac, J., and Coulter, R., Atmospheric Radiation Measurement (ARM) Climate Research Facility Data Archive, Oak Ridge, Tennessee, USA, Data set accessed at: https://doi.org/10.5439/1025284, 1993.
Atmospheric Radiation Measurement (ARM): Climate Research Facility, updated monthly, SCM-Forcing DATA from variational analysis (VARANAL), 2014-01-01 to 2015-12-31, 3.21297 S 60.5981 W: ARM Mobile Facility (MAO) Manacapuru, Amazonas, Brazil; AMF1 (M1), compiled by: Tang, S., Xie, S., and Zhang, Y.: Atmospheric Radiation Measurement (ARM) Climate Research Facility Data Archive: Oak Ridge, Tennessee, USA, Data set accessed 2016-07-22 at: https://doi.org/10.5439/1273323, 2001.
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Short summary
The Amazon forest is the largest tropical rain forest on the planet, featuring prolific and diverse cloud conditions. The Observations and Modeling of the Green Ocean Amazon (GoAmazon2014/5) experiment was motivated by demands to gain a better understanding of aerosol and cloud interactions on climate and the global circulation. The routine DOE ARM observations from this 2-year campaign are summarized to help quantify controls on clouds and precipitation over this undersampled region.
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