Procura-se investigar a validade de um método de classificação de regimes de umidade, baseado na caracterização de diferentes "estados" da Camada Limite Atmosférica Tropical (CLAT), acima de uma área de floresta, de acordo com a metodologia proposta por Mahrt (1991). Para essas análises foram utilizados dados de radiossondagens e de uma torre micrometeorológica, coletados durante o período menos chuvoso da região, obtidos durante o experimento "COBRA-PARÁ" (realizado no período de 30/10 a 15/11 de 2006). A análise dos regimes de umidade consiste na representação em espaço de fase dos dados disponíveis da razão de Bowen (β), em função do parâmetro -h/L (onde h é a altura da camada de mistura turbulenta e L é o comprimento de Obukhov). Dependendo da localização dos dados nesse espaço foi possível caracterizar as seguintes classes: classe I - ar seco e instável; classe II - vento seco predominante; classe III - vento úmido; classe IV - condição úmida e instável; classe V - condensação de vapor d'água na superfície; classe VI - condição estável dominante; e classe VII -formação de orvalho induzido por radiação noturna resfriando a superfície. Das classes mencionadas, aquelas mais freqüentemente observadas em Caxiuanã, foram as III, IV e VI.
The Amazon Basin is dominated by convective rainfall with significant spatial and diurnal variability. Diurnal and seasonal distributions of convective events were determined from rainfall and Cloud Top Temperature (CTT) between January 2008 and December 2010 in city Belém-PA. The decis technique was used to select the most intense events (rainfall rate ≥ 15 mm h–1), which were subsequently, subclassified into deep convection events (DCE) and shallow convection events (SCE). Ninety four cases were found, mostly occurring between 12 and 19 LT, and 55% in the rainy season. Another set of DCE and SCE with rainfall rate ≥ 1 mm h–1 was selected to analyze the effect of seasonality. Of these, 42 cases were found also between 12 and 19 LT, with a maximum at 16 LT. Temperature profiles differed between the rainy and less rainy seasons, in the intensification of shallow and deep convection. Moisture profiles showed greater variability between 850 and 500 hPa, indicative of their role in convective activity; during the rainy season the atmosphere was more humid (less humid) before (at the time) of the occurrence of DCE. Wind components showed significant shear between surface and ~850 hPa, with stronger zonal component in the cases of DCE. The highest values of CAPE were observed about 2 to 3 hours before DCE and SCE, with maximum values before DCE in the rainy season. Results presented here are relevant to improve short-term forecasts and convective event simulations with numerical weather and climate models.
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