{"keyword":["Geochemistry and Petrology","Geophysics"],"quality_controlled":"1","title":"Convective self-aggregation in numerical simulations: A review","date_published":"2017-11-01T00:00:00Z","extern":"1","citation":{"mla":"Wing, Allison A., et al. “Convective Self-Aggregation in Numerical Simulations: A Review.” <i>Surveys in Geophysics</i>, vol. 38, no. 6, Springer Nature, 2017, pp. 1173–97, doi:<a href=\"https://doi.org/10.1007/s10712-017-9408-4\">10.1007/s10712-017-9408-4</a>.","short":"A.A. Wing, K. Emanuel, C.E. Holloway, C.J. Muller, Surveys in Geophysics 38 (2017) 1173–1197.","ieee":"A. A. Wing, K. Emanuel, C. E. Holloway, and C. J. Muller, “Convective self-aggregation in numerical simulations: A review,” <i>Surveys in Geophysics</i>, vol. 38, no. 6. Springer Nature, pp. 1173–1197, 2017.","ama":"Wing AA, Emanuel K, Holloway CE, Muller CJ. Convective self-aggregation in numerical simulations: A review. <i>Surveys in Geophysics</i>. 2017;38(6):1173-1197. doi:<a href=\"https://doi.org/10.1007/s10712-017-9408-4\">10.1007/s10712-017-9408-4</a>","chicago":"Wing, Allison A., Kerry Emanuel, Christopher E. Holloway, and Caroline J Muller. “Convective Self-Aggregation in Numerical Simulations: A Review.” <i>Surveys in Geophysics</i>. Springer Nature, 2017. <a href=\"https://doi.org/10.1007/s10712-017-9408-4\">https://doi.org/10.1007/s10712-017-9408-4</a>.","apa":"Wing, A. A., Emanuel, K., Holloway, C. E., &#38; Muller, C. J. (2017). Convective self-aggregation in numerical simulations: A review. <i>Surveys in Geophysics</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s10712-017-9408-4\">https://doi.org/10.1007/s10712-017-9408-4</a>","ista":"Wing AA, Emanuel K, Holloway CE, Muller CJ. 2017. Convective self-aggregation in numerical simulations: A review. Surveys in Geophysics. 38(6), 1173–1197."},"intvolume":"        38","year":"2017","article_processing_charge":"No","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","month":"11","publication_identifier":{"issn":["0169-3298","1573-0956"]},"publisher":"Springer Nature","day":"01","author":[{"full_name":"Wing, Allison A.","last_name":"Wing","first_name":"Allison A."},{"full_name":"Emanuel, Kerry","first_name":"Kerry","last_name":"Emanuel"},{"last_name":"Holloway","first_name":"Christopher E.","full_name":"Holloway, Christopher E."},{"id":"f978ccb0-3f7f-11eb-b193-b0e2bd13182b","full_name":"Muller, Caroline J","last_name":"Muller","orcid":"0000-0001-5836-5350","first_name":"Caroline J"}],"status":"public","date_created":"2021-02-15T14:20:56Z","volume":38,"abstract":[{"text":"Organized convection in the tropics occurs across a range of spatial and temporal scales and strongly influences cloud cover and humidity. One mode of organization found is “self-aggregation,” in which moist convection spontaneously organizes into one or several isolated clusters despite spatially homogeneous boundary conditions and forcing. Self-aggregation is driven by interactions between clouds, moisture, radiation, surface fluxes, and circulation, and occurs in a wide variety of idealized simulations of radiative–convective equilibrium. Here we provide a review of convective self-aggregation in numerical simulations, including its character, causes, and effects. We describe the evolution of self-aggregation including its time and length scales and the physical mechanisms leading to its triggering and maintenance, and we also discuss possible links to climate and climate change.","lang":"eng"}],"date_updated":"2022-01-24T12:42:36Z","oa_version":"None","type":"journal_article","page":"1173-1197","doi":"10.1007/s10712-017-9408-4","article_type":"original","_id":"9139","publication":"Surveys in Geophysics","language":[{"iso":"eng"}],"publication_status":"published","issue":"6"}