The North American monsoon (NAM) is the principal driver of summer severe weather in the Southwest U.S. With sufficient atmospheric instability and moisture, monsoon convection initiates during daytime in the mountains and later may organize, principally into mesoscale convective systems (MCSs). Most monsoon-related severe weather occurs in association with organized convection, including microbursts, dust storms, flash flooding and lightning. The overarching theme of this dissertation research is to investigate simulation of monsoon severe weather due to organized convection within the use of regional atmospheric modeling. A commonly used cumulus parameterization scheme has been modified to better account for dynamic pressure effects, resulting in an improved representation of a simulated MCS during the North American monsoon experiment and the climatology of warm season precipitation in a long-term regional climate model simulation. The effect of urbanization on organized convection occurring in Phoenix is evaluated in model sensitivity experiments using an urban canopy model (UCM) and urban land cover compared to pre-settlement natural desert land cover. The presence of vegetation and irrigation makes Phoenix a "heat sink" in comparison to its surrounding desert, and as a result the modeled precipitation in response to urbanization decreases within the Phoenix urban area and increase on its periphery. Finally, analysis of how monsoon severe weather is changing in association with observed global climate change is considered within the context of a series of retrospectively simulated severe weather events during the period 1948-2010 in a numerical weather prediction paradigm. The individual severe weather events are identified by favorable thermodynamic conditions of instability and atmospheric moisture (precipitable water). Changes in precipitation extremes are evaluated with extreme value statistics. During the last several decades, there has been intensification of organized convective precipitation, but these events occur with less frequency. A more favorable thermodynamic environment for monsoon thunderstorms is the driver of these changes, which is consistent with the broader notion that anthropogenic climate change is presently intensifying weather extremes worldwide.

Dans ce document sont présentées des expériences sur les instabilités de cisaillement dans l'écoulement concentrique à co-courant de deux fluides miscibles. Les deux fluides sont de même masse volumique mais le fluide à la paroi a une viscosité supérieure à celle du fluide de coeur. Deux paramètres de contrôle sont utilisés, le nombre de Reynolds et le rayon du fluide de coeur. Nous avons toujours obtenu un écoulement instable et deux motifs d'instabilités ont été observés : perles et champignons. Nous avons établi le diagramme d'existence de ces motifs dans le plan des paramètres de contrôle. Pour les motifs de la forme de champignons et pour certaines valeurs de paramètres de contrôle, les instabilités apparaissent très près de l'injection et montre une largeur de spectre fine. Ce comportement pourrait être la signature d'une transition entre des instabilités convectives et des instabilités absolues. Nous avons essayé de caractériser l'état absolu ou convectif du système par des mesures expérimentales, notamment par des expériences de forçage de la fréquence. Nous avons comparé nos résultats à des simulations numériques qui s'accordent en partie à nos résultats expérimentaux, et à une analyse de stabilité linéaire aux grandes longueurs d'onde.

The periods of time-varying turbulence in the atmospheric boundary layer, i.e.\ the morning and evening transitions, are often overlooked or highly idealised by dispersion models. These transitions make up a significant portion of the diurnal cycle and are known to affect the spread of pollution due to the properties of turbulence in the residual and stable layers, resulting in phenomena such as lofting, trapping, and fumigation.\\ Two main simulation techniques are presented for the purpose of modelling the dispersion of passive tracers in both convective and evening transitional boundary layers: Lagrangian stochastic (LS) modelling for 1D, inhomogeneous, non-stationary turbulence; and large-eddy simulation (LES) with a particle model tracing pollutant paths using a combination of the resolved flow velocities and a random displacement model to represent sub-grid scale motions.\\ In the convective boundary layer, LS models more accurately representing the state of turbulence, and including the effect of skewness, are shown to produce dispersion results in closer agreement with LES. By considering individual particle trajectories, a reflective top boundary in LS models is shown to produce un-physical, sharp changes in velocity and position. By applying a correction to the vertical velocity variance based on representing the stable potential temperature gradient above the boundary layer, particles are contained within the boundary layer in a physically accurate way. \\ An LS model for predicting dispersion in time-varying, skewed turbulence is developed and tested for various particle releases in transitional boundary layers with different rates of decay, showing an improvement in accuracy compared with previous LS models. Further improvement is made by applying a correction to the vertical velocity variance to represent the effect of a positive potential temperature gradient developing over the course of the transition. Finally, a developing stable boundary layer is shown to have a significant trapping effect on particles released near the surface. \\

This thesis deals with the instabilities of the incompressible boundary-layer flow thatis induced by a disk rotating in otherwise still fluid. The results presented include bothwork in the linear and nonlinear regime and are derived from direct numerical sim-ulations (DNS). Comparisons are made both to theoretical and experimental resultsproviding new insights into the transition route to turbulence. The simulation codeNek5000 has been chosen for the DNS using a spectral-element method (SEM) witha high-order discretization, and the results were obtained through large-scale paral-lel simulations. The known similarity solution of the Navier–Stokes equations for therotating-disk flow, also called the von K ́arm ́an rotating-disk flow, is reproduced by theDNS. With the addition of modelled small simulated roughnesses on the disk surface,convective instabilities appear and data from the linear region in the DNS are anal-ysed and compared with experimental and theoretical data, all corresponding verywell. A theoretical analysis is also presented using a local linear-stability approach,where two stability solvers have been developed based on earlier work. Furthermore,the impulse response of the rotating-disk boundary layer is investigated using DNS.The local response is known to be absolutely unstable and the global response, onthe contrary, is stable if the edge of the disk is assumed to be at radius infinity. Herecomparisons with a finite domain using various boundary conditions give a globalbehaviour that can be both linearly stable and unstable, however always nonlinearlyunstable. The global frequency of the flow is found to be determined by the Rey-nolds number at the confinement of the domain, either by the edge (linear case) or bythe turbulence appearance (nonlinear case). Moreover, secondary instabilities on topof the convective instabilities induced by roughness elements were investigated andfound to be globally unstable. This behaviour agrees well with the experimental flowand acts at a smaller radial distance than the primary global instability. The sharpline corresponding to transition to turbulence seen in experiments of the rotating diskcan thus be explained by the secondary global instability. Finally, turbulence datawere compared with experiments and investigated thoroughly. / <p>QC 20170203</p>

This work is concerned with the introduction of a new higher order numerical scheme based on the discontinuous Galerkin method (DGM). We follow the methodology of higher order finite volume (HOFV) and spectral volume (SV) schemes and introduce a reconstruction operator into the DGM. This operator constructs higher order piecewise polynomial reconstructions from the lower order DGM scheme. We present two variants: the generalization of standard HOFV schemes, already proposed by Dumbser et al. (2008) and the generalization of the SV method introduced by Wang (2002). Theoretical aspects are discussed and numerical experiments with the focus on a 2D advection problem are carried out. Powered by TCPDF (www.tcpdf.org)

L'assimilation de données vise à fournir aux modèles de prévision numérique du temps un état initial de l'atmosphère le plus précis possible. Pour cela, elle utilise deux sources d'information principales : des observations et une prévision récente appelée "ébauche", toutes deux entachées d'erreurs. La distribution de ces erreurs permet d'attribuer un poids relatif à chaque source d'information, selon la confiance que l'on peut lui accorder, d'où l'importance de pouvoir estimer précisément les covariances de l'erreur d'ébauche. Les méthodes de type Monte-Carlo, qui échantillonnent ces covariances à partir d'un ensemble de prévisions perturbées, sont considérées comme les plus efficaces à l'heure actuelle. Cependant, leur coût de calcul considérable limite de facto la taille de l'ensemble. Les covariances ainsi estimées sont donc contaminées par un bruit d'échantillonnage, qu'il est nécessaire de filtrer avant toute utilisation. Cette thèse propose des méthodes de filtrage du bruit d'échantillonnage dans les covariances d'erreur d'ébauche pour le modèle à échelle convective AROME de Météo-France. Le premier objectif a consisté à documenter la structure des covariances d'erreur d'ébauche pour le modèle AROME. Une assimilation d'ensemble de grande taille a permis de caractériser la nature fortement hétérogène et anisotrope de ces covariances, liée au relief, à la densité des observations assimilées, à l'influence du modèle coupleur, ainsi qu'à la dynamique atmosphérique. En comparant les covariances estimées par deux ensembles indépendants de tailles très différentes, le bruit d'échantillonnage a pu être décrit et quantifié. Pour réduire ce bruit d'échantillonnage, deux méthodes ont été développées historiquement, de façon distincte : le filtrage spatial des variances et la localisation des covariances. On montre dans cette thèse que ces méthodes peuvent être comprises comme deux applications directes du filtrage linéaire des covariances. L'existence de critères d'optimalité spécifiques au filtrage linéaire de covariances est démontrée dans une seconde partie du travail. Ces critères présentent l'avantage de n'impliquer que des grandeurs pouvant être estimées de façon robuste à partir de l'ensemble. Ils restent très généraux et l'hypothèse d'ergodicité nécessaire à leur estimation n'est requise qu'en dernière étape. Ils permettent de proposer des algorithmes objectifs de filtrage des variances et pour la localisation des covariances. Après un premier test concluant dans un cadre idéalisé, ces nouvelles méthodes ont ensuite été évaluées grâce à l'ensemble AROME. On a pu montrer que les critères d'optimalité pour le filtrage homogène des variances donnaient de très bons résultats, en particulier le critère prenant en compte la non-gaussianité de l'ensemble. La transposition de ces critères à un filtrage hétérogène a permis une légère amélioration des performances, à un coût de calcul plus élevé cependant. Une extension de la méthode a ensuite été proposée pour les composantes du tenseur de la hessienne des corrélations locales. Enfin, les fonctions de localisation horizontale et verticale ont pu être diagnostiquées, uniquement à partir de l'ensemble. Elles ont montré des variations cohérentes selon la variable et le niveau concernés, et selon la taille de l'ensemble. Dans une dernière partie, on a évalué l'influence de l'utilisation de variances hétérogènes dans le modèle de covariances d'erreur d'ébauche d'AROME, à la fois sur la structure des covariances modélisées et sur les scores des prévisions. Le manque de réalisme des covariances modélisées et l'absence d'impact positif pour les prévisions soulèvent des questions sur une telle approche. Les méthodes de filtrage développées au cours de cette thèse pourraient toutefois mener à d'autres applications fructueuses au sein d'approches hybrides de type EnVar, qui constituent une voie prometteuse dans un contexte d'augmentation de la puissance de calcul disponible. / Data assimilation aims at providing an initial state as accurate as possible for numerical weather prediction models, using two main sources of information : observations and a recent forecast called the “background”. Both are affected by systematic and random errors. The precise estimation of the distribution of these errors is crucial for the performance of data assimilation. In particular, background error covariances can be estimated by Monte-Carlo methods, which sample from an ensemble of perturbed forecasts. Because of computational costs, the ensemble size is much smaller than the dimension of the error covariances, and statistics estimated in this way are spoiled with sampling noise. Filtering is necessary before any further use. This thesis proposes methods to filter the sampling noise of forecast error covariances. The final goal is to improve the background error covariances of the convective scale model AROME of Météo-France. The first goal is to document the structure of background error covariances for AROME. A large ensemble data assimilation is set up for this purpose. It allows to finely characterize the highly heterogeneous and anisotropic nature of covariances. These covariances are strongly influenced by the topography, by the density of assimilated observations, by the influence of the coupling model, and also by the atmospheric dynamics. The comparison of the covariances estimated from two independent ensembles of very different sizes gives a description and quantification of the sampling noise. To damp this sampling noise, two methods have been historically developed in the community : spatial filtering of variances and localization of covariances. We show in this thesis that these methods can be understood as two direct applications of the theory of linear filtering of covariances. The existence of specific optimality criteria for the linear filtering of covariances is demonstrated in the second part of this work. These criteria have the advantage of involving quantities that can be robustly estimated from the ensemble only. They are fully general and the ergodicity assumption that is necessary to their estimation is required in the last step only. They allow the variance filtering and the covariance localization to be objectively determined. These new methods are first illustrated in an idealized framework. They are then evaluated with various metrics, thanks to the large ensemble of AROME forecasts. It is shown that optimality criteria for the homogeneous filtering of variances yields very good results, particularly with the criterion taking the non-gaussianity of the ensemble into account. The transposition of these criteria to a heterogeneous filtering slightly improves performances, yet at a higher computational cost. An extension of the method is proposed for the components of the local correlation hessian tensor. Finally, horizontal and vertical localization functions are diagnosed from the ensemble itself. They show consistent variations depending on the considered variable and level, and on the ensemble size. Lastly, the influence of using heterogeneous variances into the background error covariances model of AROME is evaluated. We focus first on the description of the modelled covariances using these variances and then on forecast scores. The lack of realism of the modelled covariances and the negative impact on scores raise questions about such an approach. However, the filtering methods developed in this thesis are general. They are likely to lead to other prolific applications within the framework of hybrid approaches, which are a promising way in a context of growing computational resources.

O potencial aumento da atividade convectiva e da severidade das tempestades proporcionada pela ilha de calor urbana das grandes cidades, já apontado por diversos autores, é verificado através de testes com o modelo BRAMS, em que o esquema TEB é ativado e desativado para dois casos de tempestade. Em seguida, cenários de crescimento da mancha urbana para o ano de 2030 e de aumento da área com construções altas foram utilizados para avaliar o possível aumento na quantidade de precipitação, nos índices de tempo severo e, consequentemente, na severidade das tempestades que podem ocorrer na região. Com os métodos de planejamento fatorial e separação de fatores, verificou-se que o aumento da mancha urbana é capaz de aumentar a quantidade de chuva sobre a RMSP, indicando que a mudança do uso do solo de rural para o urbano é determinante para este aumento. O aumento da área com construções altas possui uma tendência para causar supressão da chuva. O aumento da mancha urbana é o principal fator gerador de instabilidade e cisalhamento entre os ensaios. O fator de aumento da urbanização vertical causa diferentes impactos entre os dois casos de tempestade, um com aumento e outro com redução da instabilidade. Em ambos os casos a verticalização causa redução do cisalhamento. A interação entre os dois fatores, urbanização horizontal e vertical, gera um aumento da precipitação e um deslocamento maior da tempestade sobre a RMSP, em relação ao cenário atual, porém menor do que ocorreria para o cenário com apenas aumento da mancha urbana. / The potential increase in convective activity and severity, caused by urban heat island effect, is verified with tests using BRAMS model, between cases with and without TEB scheme for two storm cases. Scenarios of future urban area and increase of high buildings area was made to evaluate changes in rainfall, convective parameters, and consequently, in severe weather probability for the study region. Using factorial planning and factor separation methods, it was found that the urban area growth is capable to increase the amount of precipitation, mainly due to the land use change from rural to urban. In the scenario of building heights increasing, it was found a tendency for rainfall suppress. The urban area growth is the major factor contributing to increase atmospheric instability and wind shear. Vertical urban growth causes different impacts between two storm cases, one with an increase and other with a decrease in instability. In both cases there were reductions in wind shear. The interaction between two factors increases the amount of precipitation and the displacement of the storm over MASP, in relation to the current scenario, but less than would occur for the scenario with only urban area growth.

O presente trabalho verifica as principais características dos sistemas convectivos de mesoescala (SCMs), com origem continental e oceânica que, em pelo menos um momento do seu ciclo de vida, tiveram trajetória sobre a bacia Amazônica, durante um ano e meio de realização do projeto Green Ocean Amazon (GOAmazon). A análise incluiu a verificação da distribuição espacial, variabilidade diurna, ciclo de vida, deslocamento e áreas médias nas diferentes fases do ciclo de vida. Foi criada uma climatologia utilizando 14 anos de dados para comparar os resultados obtidos durante o GOAmazon. Para os SCMs que se formaram próximos às estações do GOAmazon foram realizadas análises das condições sinóticas, dinâmicas e termodinâmicas observadas durante a gênese e ao longo do ciclo de vida. Os resultados mostram que o número de ocorrências de SCMs continentais é de 7053 por ano. Em 2014 a ocorrência foi de 56,3% deste valor e em 2015 foi de 58% da climatologia para a mesma época do ano. Os SCMs ocorridos durante o GOAmazon também apresentaram menores tempos de vida, deslocamentos médios e velocidades médias. A evolução do ciclo de vida é muito similar para os SCMs de curta e longa duração, com poucas horas de diferença entre a mesma fase. O tempo que os sistemas de curta duração levam em média para alcançar a fase de maturação é de 2 a 3 horas enquanto que os SCMs de longa duração levam 5 a 6 horas. Durante o projeto GOAmazon este tempo foi igual a climatologia para SCMs de curta duração, porém variou entre 3 a 4 horas para SCMs de longa duração. A velocidade média, direção de propagação e deslocamentos médios variam de acordo com a época do ano e ao longo de toda bacia Amazônica. Os deslocamentos médios são maiores durante o inverno. A densidade média mensal de SCMs revela regiões preferenciais de gênese. São elas: 1) corrente abaixo da Cordilheira dos Andes, entre 10ºS e 20ºS/70ºW a 75ºW; 2) confluência do rio Tapajós com o rio Amazonas, por volta de 2,5ºS/54ºW; 3) sobre a Serra da Pacaraima, no Planalto das Guianas, em aproximadamente 5ºN/60ºW; 4) Serra do Imeri, no Planalto das Guianas, em 0º/65ºW e; 5) no norte do Mato Grosso, em torno de 10ºS/55ºW. Durante o projeto GOAmazon as anomalias negativas de densidade de SCMs ocorreram espalhadas ao longo de toda a bacia, com algumas regiões pontuais de maior ocorrência de sistemas. Os SCMs oceânicos ocorrem preferencialmente no período de inverno ao norte da bacia Amazônica. A frequência de ocorrência é baixa (em média 4 sistemas por mês), no entanto, eles possuem grandes áreas durante sua fase de maturação, grandes tempos de vida e deslocamentos. Como a maioria apresenta gênese muito próxima a costa, o desenvolvimento destes sistemas ocorre majoritariamente sobre a bacia Amazônica. Durante o projeto GOAmazon sua ocorrência foi muito menor comparado a climatologia e suas características médias diferentes. A análise detalhada para os 21 casos em que os SCMs ocorreram próximos às estações do GOAmazon mostrou que a combinação entre os ventos alísios direcionados para a bacia Amazônica e sistemas frontais que se aproximaram da região Tropical foram fundamentais na manutenção dos SCMs com longo ciclo de vida. Durante a ocorrência de SCMs com grandes áreas, os valores de cisalhamento foram mais altos comparados aos outros casos. Durante a maior parte dos anos 2014 e 2015 ocorreram padrões anômalos na circulação atmosférica, impulsionados por anomalias na temperatura da superfície do mar no oceano Pacífico Equatorial, o que justificaria a menor ocorrência, tempos de vida e deslocamento dos SCMs. De acordo com a literatura revisada, este é o primeiro trabalho que realiza uma análise climatológica anual da ocorrência de SCMs através de dados de alta resolução temporal e espacial com pouquíssimas falhas usando uma delimitação geográfica da bacia Amazônica, isto é, considerando somente os SCMs que em pelo menos um momento do seu ciclo de vida interagiram com a bacia Amazônica. / In the present study, we analyzed the continental and oceanic mesoscale convective systems (MCSs) that occurred over the Amazon Basin, during one year and six months of Green Ocean Amazon Project (GOAmazon). The analysis included the spatial distribution, diurnal variability, lifecycle, displacement and morphological parameters of the MCSs. A climatology using 14 years data was developed to compare the results obtained during the GOAmazon. A synoptic, thermodynamic and dynamic analysis was made for 21 MCSs that occurred next to the GOAmazon data collection sites. The climatology results show 7053 continental MCSs occurring along the year. In 2014, the occurrence was 56.3% of that value and during the period analyzed in 2015 it was 58%. The MCSs occurred during the GOAmazon also presented shorter lifecycles, displacements and speeds compared to climatology. The lifetime evolution of short lived and long lived MCSs present few hours of difference between the same phase. The time from genesis to maturation phase of short lived systems is 2 to 3 hours and for those long lived the time is 3 to 4 hours. The mean speed, direction and displacement are greater during the winter. The average density reveal preferential regions of genesis. They are: 1) downstream Andes Mountain, among 10ºS and 20ºS/70ºW and 75ºW; 2) confluence of Amazon and Tapajós Rivers, near to 2.5ºS/54ºW; 3) Pacaraima Mountains at Guyana Shield, in approximately 5ºN/60ºW; 4) Imeri Mountains at Guyana Shield, in 0º/65ºW and; 5) between north of Mato Grosso state and south of Pará state, around 10ºS/55ºW. During the GOAmazon the negative density anomalies occurred spread along the Amazon Basin, with some points of greater occurrence. The oceanic MCSs occurred preferentially in the winter season in the northeast of Amazon Basin. Their frequency of occurrence is fewer than continental, in average four MCSs per month. Nevertheless, they have large areas during their maturation phase, longer lifecycles and displacements. Most of them have genesis next to the land and their development is over the Amazon Basin. During GOAmazon their occurrence was fewer than the climatology and the features were different. The analysis for the 21 cases in which MCSs occurred next to GOAmazon stations showed that a combination of trade winds driven to Amazon Basin and frontal systems close to Tropical region were important for keeping the long lived MCSs. During occurrence of large area systems, the wind shear was greater than during other events. In most of 2014 and 2015, anomalous patterns in the atmospheric circulation, triggered by anomalous sea surface temperature in the Equatorial Pacific Ocean, occurred and this may justify the fewer occurrence of MCSs, lifecycle and displacement in that period. From our knowledge of the literature, this is the first work that makes an annual climatological analysis of MCSs occurrence through high temporal and spatial data and very few missing data using a geographical delimitation of Amazon basin. That is, considering only the MCSs that in one moment of their lifecycle, at least, interact with the Amazon Basin.

Unripe banana flour (UBF) production employs bananas not submitted to maturation process, is an interesting alternative to minimize the fruit loss reduction related to inappropriate handling or fast ripening. The UBF is considered as a functional ingredient improving glycemic and plasma insulin levels in blood, have also shown efficacy on the control of satiety, insulin resistance. The aim of this work was to study the drying process of unripe banana slabs (Musa cavendishii, Nanicão) developing a transient drying model through mathematical modeling with simultaneous moisture and heat transfer. The raw material characterization was performed and afterwards the drying process was conducted at 40 ºC, 50 ºC e 60 ºC, the product temperature was recorded using thermocouples, the air velocity inside the chamber was 4 m·s-1. With the experimental data was possible to validate the diffusion model based on the Fick\'s second law and Fourier. For this purpose, the sorption isotherms were measured and fitted to the GAB model estimating the equilibrium moisture content (Xe), 1.76 [g H2O/100g d.b.] at 60 ºC and 10 % of relative humidity (RH), the thermophysical properties (k, Cp, ?) were also measured to be used in the model. Five cases were contemplated: i) Constant thermophysical properties; ii) Variable properties; iii) Mass (hm), heat transfer (h) coefficient and effective diffusivity (De) estimation 134 W·m-2·K-1, 4.91x10-5 m-2·s-1 and 3.278?10-10 m·s-2 at 60 ºC, respectively; iv) Variable De, it presented a third order polynomial behavior as function of moisture content; v) The shrinkage had an effect on the mathematical model, especially in the 3 first hours of process, the thickness experienced a contraction of about (30.34 ± 1.29) % out of the initial thickness, finding two decreasing drying rate periods (DDR I and DDR II), 3.28x10-10 m·s-2 and 1.77x10-10 m·s-2, respectively. COMSOL Multiphysics simulations were possible to perform through the heat and mass transfer coefficient estimated by the mathematical modeling. / A farinha de banana verde (UBF) produzida de bananas não submetidas ao processo de maturação é uma alternativa interessante para minimizar as perdas dos frutos relacionadas ao manejo inadequado e a alta perecibilidade do produto. A UBF pode ser considerada um ingrediente funcional em formulações alimentícias, pois pode reduzir o índice glicêmico e o nível de insulina plasmática no sangue, demonstrando eficácia no controle da saciedade e da resistência à insulina. O objetivo deste trabalho foi estudar o processo de secagem de fatias de banana verde (Musa cavendishii, Nanicão) e desenvolver um modelo de secagem transiente através da modelagem matemática com transferência de massa e energia simultânea. Inicialmente, foi realizada a caraterização físico-química da matéria prima que foi submetida ao processo de secagem em escala piloto, a 40 ºC, 50 ºC e 60 ºC, com termopares inseridos no produto monitorando sua temperatura, a velocidade do ar de secagem foi de 4 mos-1. Com a cinética de secagem e a temperatura interna da fatia foi possível validar o modelo de difusão baseado na 2a Lei de Fick e Fourier. Para este propósito, foram medidas durante o processo: as isotermas de sorção ajustadas ao modelo do GAB permitindo estimar a umidade de equilíbrio (Xe), 1.76 [g H2O/100g d.b.] a 60 ºC e 10 % de umidade relativa (RH) e as propriedades físicas e termofísicas (k, Cp, ?) para serem inseridas no modelo. Consideraram-se cinco casos: i) Propriedades termofísicas constantes; ii) Variáveis; iii) Estimativa do coeficiente de transferência de massa (hm) de calor (h) e difusividade efetiva (De) parâmetros importantes que controlam a taxa de secagem, 134 Wom-2oK-1, 4.91x10-5 m-2os-1 e 3.278x10-10 mos-2 para uma temperatura de 60 ºC, respectivamente; iv) Estimativa do De como função do teor de umidade (M) apresentando um comportamento polinomial de terceira ordem; v) O encolhimento teve influência no modelo matemático, em especial nas primeiras três horas de secagem, a espessura da banana verde experimentou uma redução de (30.34 ± 1.29) %, encontrando dois períodos de taxa de secagem decrescentes (DDR I e DDR II), os De estimados para estes dois períodos foram 3.28x10-10 mos-2 e 1.77x10-10 mos-2, respectivamente. As simulações no COMSOL Multiphysics foram possíveis de serem realizadas através dos dados estimados pelo modelo matemático.

Técnicas de rastreamento como o Forecasting and Tracking the evolution of Cloud Clusters (ForTraCC) e simulações numéricas têm sido utilizadas para entender o desenvolvimento de sistemas convectivos de mesoecala (SCMs), que estão associados à precipitação intensa, rajadas de vento, granizo e até mesmo tornados. Este trabalho adaptou o ForTraCC para rastrear SCMs na radiação de onda longa emergente (ROLE) nas simulações climáticas do RegCM4. As simulações utilizaram a reanálise ERA-Interim como condições inicial e de fronteira em um domínio cobrindo a América do Sul (AS) para os períodos outubro-maio (8 meses) de 1997-2003. A climatologia simulada pelo RegCM4 reproduziu os principais padrões atmosféricos observados na AS, com melhor desempenho no setor sul da AS. Foram investigadas características (morfológicas e cinemáticas) dos SCMs no setor tropical (AMZ) e subtropical (BP). O ForTraCC rastreou número semelhante de SCMs nestas regiões, mas com características diferentes. Na AMZ (BP) a simulação mostra máxima frequência de SCMs em novembro (janeiro) e com padrão de ciclo de vida apresentando início às 03 UTC (09 UTC), máxima extensão às 06 UTC (14 UTC) e dissipação às 12 UTC (23-00 UTC). Isto indica discrepância entre o ciclo de vida dos SCMs simulados e observados de acordo com a literatura, que mostra que os SCMs acompanham predominantemente o ciclo de radiação solar. A forte influência do jato de baixos níveis (JBN) explicaria o horário preferencial de início dos SCMs na BP. Nas simulações, os SCMs subtropicais são em geral maiores, duram mais tempo, possuem temperatura mínima menor e são mais lineares que os tropicais, características também reportadas na literatura. Na AMZ os SCMs não apresentam local preferencial de gênese e dissipação e nem trajetórias típicas, enquanto na BP embora se iniciem em qualquer posição movem-se principalmente para leste. Adicionalmente, para a área entre 10-45º S e 75-30º W foram rastreados os complexos convectivos de mesoescala (CCMs). Nas simulações, os CCMs formam-se preferencialmente às 04 UTC, atingem máxima extensão às 12 UTC (coincidindo com a máxima atividade do JBN) e dissipam-se às 15 UTC e 23 UTC. Os CCMs são predominantemente continentais, duram aproximadamente 16,5 horas (duração é maior que a reportada na literatura) e são maiores que os SCMs. O centro-norte da Argentina, sul-sudeste do Brasil, sul do Peru são as regiões preferenciais de gênese dos CCMs simulados e apresentam trajetórias típicas para leste. Embora existam algumas restrições e diferenças (p.ex.: resolução horizontal, intervalo de tempo entre imagens) nos critérios utilizados na classificação dos SCMs e CCMs simulados e os da literatura, o RegCM4 simulou as principais características morfológicas e cinemáticas desses sistemas. / Forecasting and Tracking the evolution of Cloud Clusters (ForTraCC) technique and numerical simulations have been used to understand the development of Mesoscale Convective Systems (MCSs). In general, these systems are associated with intense rainfall, wind gusts, hail and sometimes with tornados. This work has adapted the ForTraCC to track MCSs in the outgoing longwave radiation (OLR) from RegCM4 climatic simulations. The RegCM4 was nested in ERA-Interim reanalysis in a domain covering the South America (SA) for the periods of October-May (8 months) of 1997-2003. The RegCM4 simulated climatology reproduced the main atmospheric patterns observed in SA, with best performance in its southern part. The MCSs\' morphological and kinematic features were investigated in the tropical (AMZ) and subtropical (BP) sectors. ForTraCC tracked a similar number of MCSs in both regions, but the systems presented dierent features. In AMZ (BP) the simulations show the maximum frequency of MCSs in November (January). In terms of life cycle, in the AMZ (BP) the MCSs start at 03 UTC (09 UTC), attain the maximum extension at 06 UTC (14 UTC) and dissipate at 12 UTC (23-00 UTC). This indicates a discrepancy between simulated and observed MCSs\' life cycle according to the literature, which shows MCSs in AMZ following mainly the solar radiation cycle. The strong infuence of low level jet (LLJ) could explain the preferred time (09 UTC) of initiation of MCSs in the BP. In the simulations, the subtropical MCSs are generally larger, long-lived and colder and they are more linear than tropical ones, features also reported in the literature. In AMZ the MCSs do not show a preferential place for genesis and dissipation neither typical trajectories, while in BP they have no preferential place to start but move mainly eastward. Additionally, mesoscale convective complexes (MCCs) were tracked in the area between 10-45ºS and 75-30ºW. On average, the simulated MCCs form at 04 UTC, attain the maximum extension at 12 UTC (coinciding with maximum activity of LLJ), and dissipate at 15 UTC and 23 UTC. The MCCs are mostly continental, last approximately 16.5 hours (long-lived than reported in observations) and are larger than MCSs. The central-northern Argentina, southern-southeastern Brazil and southern Peru are the preferred regions for genesis of simulated MCCs, which present a typical eastward trajectory. Although there are some restrictions and dierences (e.g. horizontal resolution, interval between \"images\") in the used criteria to classify the simulated MCSs and MCCs and literature, the RegCM4 simulated the main observed morphological and kinematics features of these systems.