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ImportantPapers

My personal list/summary of central Amazon papers about clouds, convection, aerosols, hygroscopicity, etc… Mostly just recent papers from 2013 onwards. Besides the 3 special issues indicated below, I’ve included papers on JGR, GRL and JAS.

List of experiments

  1. GoAmazon http://www.atmos-chem-phys.net/special_issue392.html
  2. ACRIDICON-CHUVA http://www.atmos-chem-phys.net/special_issue852.html
  3. ATTO http://www.atmos-chem-phys.net/special_issue369.html

Clouds measured from aircrafts

  1. Braga, R. C., Rosenfeld, D., Weigel, R., Jurkat, T., Andreae, M. O., Wendisch, M., Pöhlker, M. L., Klimach, T., Pöschl, U., Pöhlker, C., Voigt, C., Mahnke, C., Borrmann, S., Albrecht, R. I., Molleker, S., Vila, D. A., Machado, L. A. T., and Artaxo, P.: Comparing calculated microphysical properties of tropical convective clouds at cloud base with measurements during the ACRIDICON-CHUVA campaign, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-872, in review, 2016. http://www.atmos-chem-phys-discuss.net/acp-2016-872/
  2. Jäkel, E., Wendisch, M., Krisna, T. C., Ewald, F., Kölling, T., Jurkat, T., Voigt, C., Cecchini, M. A., Machado, L. A. T., Afchine, A., Costa, A., Krämer, M., Andreae, M. O., Pöschl, U., Rosenfeld, D., and Yuan, T.: Vertical distribution of the phase state of particles in tropical deep-convective clouds as derived from cloud-side reflected solar radiation measurements, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-64, in review, 2017. http://www.atmos-chem-phys-discuss.net/acp-2017-64/
  3. Braga, R. C., Rosenfeld, D., Weigel, R., Jurkat, T., Andreae, M. O., Wendisch, M., Pöschl, U., Voigt, C., Mahnke, C., Borrmann, S., Albrecht, R. I., Molleker, S., Vila, D. A., Machado, L. A. T., and Grulich, L.: Aerosol concentrations determine the height of warm rain and ice initiation in convective clouds over the Amazon basin, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-1155, in review, 2017. http://www.atmos-chem-phys-discuss.net/acp-2016-1155/
  4. Cecchini, M. A., Machado, L. A. T., Andreae, M. O., Martin, S. T., Albrecht, R. I., Artaxo, P., Barbosa, H. M. J., Borrmann, S., Fütterer, D., Jurkat, T., Mahnke, C., Minikin, A., Molleker, S., Pöhlker, M. L., Pöschl, U., Rosenfeld, D., Voigt, C., Wenzierl, B., and Wendisch, M.: Sensitivities of Amazonian clouds to aerosols and updraft speed, Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2017-89, in review, 2017. http://www.atmos-chem-phys-discuss.net/acp-2017-89/
  5. Cecchini, M. A., Machado, L. A. T., Comstock, J. M., Mei, F., Wang, J., Fan, J., Tomlinson, J. M., Schmid, B., Albrecht, R., Martin, S. T., and Artaxo, P.: Impacts of the Manaus pollution plume on the microphysical properties of Amazonian warm-phase clouds in the wet season, Atmos. Chem. Phys., 16, 7029-7041, doi:10.5194/acp-16-7029-2016, 2016. http://www.atmos-chem-phys.net/16/7029/2016/

CCN and Hygroscopicity

  1. Whitehead, J. D., Darbyshire, E., Brito, J., Barbosa, H. M. J., Crawford, I., Stern, R., Gallagher, M. W., Kaye, P. H., Allan, J. D., Coe, H., Artaxo, P., and McFiggans, G.: Biogenic cloud nuclei in the central Amazon during the transition from wet to dry season, Atmos. Chem. Phys., 16, 9727-9743, doi:10.5194/acp-16-9727-2016, 2016 http://www.atmos-chem-phys.net/16/9727/2016/
  2. Jian Wang, Radovan Krejci, Scott Giangrande, Chongai Kuang, Henrique M. J. Barbosa, Joel Brito, Samara Carbone, Xuguang Chi, Jennifer Comstock, Florian Ditas, Jost Lavric, Hanna E. Manninen, Fan Mei, Daniel Moran-Zuloaga, Christopher Pöhlker, Mira L. Pöhlker, Jorge Saturno, Beat Schmid, Rodrigo A. F. Souza, Stephen R. Springston, Jason M. Tomlinson, Tami Toto, David Walter, Daniela Wimmer, James N. Smith, Markku Kulmala, Luiz A. T. Machado, Paulo Artaxo, Meinrat O. Andreae, Tuukka Petäjä, and Scot T. Martin, 2016: Vertical transport during rainfall sustains aerosol concentration in Amazon boundary layer. Nature, doi:10.1038/nature19819 http://www.nature.com/nature/journal/vaop/ncurrent/full/nature19819.html
  3. D. Rosenfeld, Y. Zheng, E. Hashimshoni, M. L. Pöhlker, A. Jefferson, C. Pöhlker, X. Yu, Y. Zhu, G. Liu, Z. Yue, B. Fischman, Z. Li, D. Giguzin, T. Goren, P. Artaxo, H. M. J. Barbosa, U. Pöschl, M.O. Andreae: Satellite retrieval of cloud condensation nuclei concentrations by using clouds as CCN chambers. PNAS, 2016 vol. 113 no. 21 5828-5834. doi:10.1073/pnas.1514044113 http://www.pnas.org/content/113/21/5828.abstract
  4. Adam P. Bateman, Zhaoheng Gong, Pengfei Liu, Bruno Sato, Glauber Cirino, Yue Zhang, Paulo Artaxo, Allan K. Bertram, Antonio O. Manzi, Luciana V. Rizzo, Rodrigo A. F. Souza, Rahul A. Zaveri and Scot T. Martin: Sub-micrometre particulate matter is primarily in liquid form over Amazon rainforest. Nature Geoscience 9, 34–37 (2016) doi:10.1038/ngeo2599 http://www.nature.com/ngeo/journal/v9/n1/full/ngeo2599.html
  5. Pöhlker, M. L., Pöhlker, C., Ditas, F., Klimach, T., Hrabe de Angelis, I., Araújo, A., Brito, J., Carbone, S., Cheng, Y., Chi, X., Ditz, R., Gunthe, S. S., Kesselmeier, J., Könemann, T., Lavrič, J. V., Martin, S. T., Mikhailov, E., Moran-Zuloaga, D., Rose, D., Saturno, J., Su, H., Thalman, R., Walter, D., Wang, J., Wolff, S., Barbosa, H. M. J., Artaxo, P., Andreae, M. O., and Pöschl, U.: Long-term observations of cloud condensation nuclei in the Amazon rain forest – Part 1: Aerosol size distribution, hygroscopicity, and new model parametrizations for CCN prediction, Atmos. Chem. Phys., 16, 15709-15740, doi:10.5194/acp-16-15709-2016, 2016. http://www.atmos-chem-phys.net/16/15709/2016/

Convection, diurnal cycle, and shallow to deep transition

They do not discuss anything about aerosol impacts but give general characteristics of cloud development.

  1. Tang, S., Xie, S., Zhang, Y., Zhang, M., Schumacher, C., Upton, H., Jensen, M. P., Johnson, K. L., Wang, M., Ahlgrimm, M., Feng, Z., Minnis, P., and Thieman, M.: Large-scale vertical velocity, diabatic heating and drying profiles associated with seasonal and diurnal variations of convective systems observed in the GoAmazon2014/5 experiment, Atmos. Chem. Phys., 16, 14249-14264, doi:10.5194/acp-16-14249-2016, 2016. http://www.atmos-chem-phys.net/16/14249/2016/
  2. Gentine, P., A. Garelli, S.-B. Park, J. Nie, G. Torri, and Z. Kuang (2016), Role of surface heat fluxes underneath cold pools, Geophys. Res. Lett., 43, 874–883, doi:10.1002/2015GL067262. http://onlinelibrary.wiley.com/doi/10.1002/2015GL067262/abstract
  3. Collow, A. B. M., M. A. Miller, and L. C. Trabachino (2016), Cloudiness over the Amazon rainforest: Meteorology and thermodynamics, J. Geophys. Res. Atmos., 121, 7990–8005, doi:10.1002/2016JD024848. http://onlinelibrary.wiley.com/doi/10.1002/2016JD024848/abstract
  4. Itterly, K. F., P. C. Taylor, J. B. Dodson, and A. B. Tawfik (2016), On the sensitivity of the diurnal cycle in the Amazon to convective intensity, J. Geophys. Res. Atmos., 121, 8186–8208, doi:10.1002/2016JD025039. http://onlinelibrary.wiley.com/doi/10.1002/2016JD025039/abstract
  5. Zhuang, Y., R. Fu, J. A. Marengo, and H. Wang (2017), Seasonal Variation of Shallow-to-Deep Convection Transition and Its Link to the Environmental Conditions over the Central Amazon, J. Geophys. Res. Atmos., 122, doi:10.1002/2016JD025993. http://onlinelibrary.wiley.com/doi/10.1002/2016JD025993/abstract
  6. Virendra P. Ghate and Pavlos Kollias, 2016: On the Controls of Daytime Precipitation in the Amazonian Dry Season. J. Hydrometeor., 17, 3079–3097, doi: 10.1175/JHM-D-16-0101.1. http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-16-0101.1
  7. David K. Adams, Henrique M. J. Barbosa, Karen Patricia Gaitán De Los Ríos, 2017: A Spatiotemporal Water Vapor–Deep Convection Correlation Metric Derived from the Amazon Dense GNSS Meteorological Network. Mon. Wea. Rev., 145, 279–288, doi: 10.1175/MWR-D-16-0140.1. http://journals.ametsoc.org/doi/abs/10.1175/MWR-D-16-0140.1
  8. Nunes AMP, Silva Dias MAF, Anselmo EM and Morales CA (2016) Severe Convection Features in the Amazon Basin: A TRMM-Based 15-Year Evaluation. Front. Earth Sci. 4:37. doi: 10.3389/feart.2016.00037 http://journal.frontiersin.org/article/10.3389/feart.2016.00037/full
  9. Saraiva, I.I., M.F. Silva Dias, C.R. Morales, and J.B. Saraiva, 2016: Regional Variability of Rain Clouds in the Amazon Basin as Seen by a Network of Weather Radars. J. Appl. Meteor. Climatol., 55, 2657–2675, doi: 10.1175/JAMC-D-15-0183.1. http://journals.ametsoc.org/doi/abs/10.1175/JAMC-D-15-0183.1
  10. dos Santos, M. J., M. A. F. Silva Dias, and E. D. Freitas (2014), Influence of local circulations on wind, moisture, and precipitation close to Manaus City, Amazon Region, Brazil, J. Geophys. Res. Atmos., 119, 13,233–13,249, doi:10.1002/2014JD021969.http://onlinelibrary.wiley.com/doi/10.1002/2014JD021969/abstract
  11. BURLEYSON, C. D., et al.: Spatial Variability of the Background Diurnal Cycle of Deep Convection around the GoAmazon2014/5 Field Campaign Sites. J. Appl. Meteor. Climatol., 55, 1579–1598, 2016.

Models, precipitation and convection

  1. Lei Yin, Rong Fu, Elena Shevliakova, Robert E. Dickinson: How well can CMIP5 simulate precipitation and its controlling processes over tropical South America? Clim Dyn (2013) 41:3127–3143. doi:10.1007/s00382-012-1582-y https://link.springer.com/article/10.1007%2Fs00382-012-1582-y
  2. Usama Anber, Pierre Gentine, Shuguang Wang, and Adam H. Sobel, 2015: Fog and rain in the Amazon. PNAS 2015 112 (37) 11473-11477, doi:10.1073/pnas.1505077112 http://www.pnas.org/content/112/37/11473.abstract
  3. Lintner, B. R., D. K. Adams, K. A. Schiro, A. M. Stansfield, A. A. Amorim Rocha, and J. D. Neelin (2017), Relationships among climatological vertical moisture structure, column water vapor, and precipitation over the central Amazon in observations and CMIP5 models, Geophys. Res. Lett., 44, 1981–1989, doi:10.1002/2016GL071923. http://onlinelibrary.wiley.com/doi/10.1002/2016GL071923/abstract
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