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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

reconditioning, aerosols, and radiation control the temperature of glaciation in Amazonian cloud

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Autor(es):
Correia, Alexandre L. [1] ; Sena, Elisa T. [2] ; Silva Dias, Maria A. F. [3] ; Koren, Ilan [4]
Número total de Autores: 4
Afiliação do(s) autor(es):
[1] Univ Sao Paulo, Inst Phys, Sao Paulo - Brazil
[2] Univ Fed Sao Paulo, Multidisciplinary Dept, Osasco - Brazil
[3] Univ Sao Paulo, Inst Astron Geofis & Ciencias Atmosfer, Sao Paulo - Brazil
[4] Weizmann Inst Sci, Rehovot - Israel
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: COMMUNICATIONS EARTH & ENVIRONMENT; v. 2, n. 1 AUG 19 2021.
Citações Web of Science: 1
Resumo

Glaciation in clouds is a fundamental phenomenon in determining Earth's radiation fluxes, sensible and latent heat budgets in the atmosphere, the water cycle, cloud development and lifetime. Nevertheless, the main mechanisms that govern the temperature of glaciation in clouds have not been fully identified. Here we present an analysis of 15 years (2000-2014) of satellite, sunphotometer, and reanalysis datasets over the Amazon. We find that the temperature of glaciation in convective clouds is controlled by preconditioning dynamics, natural and anthropic aerosols, and radiation. In a moist atmospheric column, prone to deep convection, increasing the amount of aerosols leads to a delay in the onset of glaciation, reducing the glaciation temperature. For a dry column, radiative extinction by biomass burning smoke leads to atmospheric stabilization and an increase in the glaciation temperature. Our results offer observational benchmarks that can help a more precise description of glaciation in convective cloud models. The temperature at which clouds glaciate is controlled by preconditioning dynamics, aerosol concentration and radiation. Smoke can delay or favour glaciation depending on moisture, according to analyses of 15 years observations and reanalysis data from the Amazon Basin. (AU)

Processo FAPESP: 10/15959-3 - SeReNA: sensoriamento remoto da microfísica de nuvens e sua interação com aerossóis atmosféricos
Beneficiário:Alexandre Lima Correia
Modalidade de apoio: Auxílio à Pesquisa - Regular