The squall line is generally accepted to be the most commonly observed mesoscale convective system (MCS). Squall lines in the Southeastern United States account for a considerable amount of the total severe weather observed in this region (48%), including the production of localized severe wind events (known as Bow Echoes and Downbursts), long-lived severe wind events (known as Derechoes), as well as tornadoes. This study is the beginning of a baseline severe squall line climatology for the county warning areas (CWAs) of the National Weather Service Forecast Offices (NWSFO) located in Jackson, MS and Memphis, TN. This climatology will focus on the seasonal distribution of severe weather events associated with squall lines, as well as the thermodynamic forcing associated with the initiation and life spans of severe squall lines in Mississippi and West Tennessee.

<p>This study examines whether and how land-atmosphere interactions can have an impact on the nocturnal convection over the Southern Great Plains (SGP) through numerical simulations of an intense nocturnal mesoscale convective system (MCS) on 19-20 June 2007 with the Weather Research and Forecasting (WRF V3.3) model. High-resolution nested simulations were conducted using realistic and idealized land-surfaces and two different planetary boundary layer parameterizations: Yonsei University (YSU) and Mellor-Yamada-Janjic (MYJ). All simulations show a persistent dry layer around 2 km during daytime and, despite ample instability in the boundary layer, the lack of a mesoscale lifting mechanism prevents precipitating convection in the daytime and in the evening ahead of the MCS passage after local midnight. Integral differences in timing and amount of MCS precipitation among observations and model results were examined in the light of daytime land-atmosphere interactions, nocturnal pre-storm environment, cold pool strength, squall line morphology and propagation speed, and storm rainfall. At the meso-gamma scale, differences in land-cover and soil type have as much of an effect on the simulated pre-storm environment as the choice of PBL parameterization: MYJ simulations exhibit strong sensitivity to changes in the land-surface in contrast to negligible impact in the case of YSU. A comparison of one-way and two-way nested MYJ results demonstrates that daytime land-atmosphere interactions modify the pre-storm environment remotely through advection of low-level thermodynamic features, which strongly impact the development phases of the MCS. At the end of the afternoon, as the boundary layer collapses, a more homogenous and deeper PBL (and stronger low level shear) is evident in the case of YSU as compared to MYJ when initial land-surface conditions are the same. For different land-surface conditions, propagation speed is generally faster, and organization (bow echo morphology) and cold pool strength enhanced when nocturnal PBL heights are higher and there is stronger low level shear in the pre-storm environment independently of the boundary layer parameterization. To elucidate the distinct roles of mesoscale transport and redistribution of low level instability (daytime remote feedbacks) and low level shear in the downwind pre-storm environment (nighttime local feedbacks), which is to separate the nonlinear land-atmosphere physical processes from PBL parameterization-specific effects on simulated storm dynamics, requires addressing the phase delay in storm development and propagation between the observed and the simulated MCS.</p><p>Another research objective was to examine the contribution of the land surface at short time scales. A second set of experiments was performed in which the land surface properties were homogenized every 5 minutes. The results show that surface effects are most pronounced during periods of insolation and, for the Yonsei University PBL parameterization, effects on the PBL height are most pronounced at the time of PBL collapse. Image processing techniques were found to be a useful measure of the spatial variation within fields. The results of this study show that, for this case, the integrated effect of the land surface can have a noticeable effect on convection, but such effects are not readily discernible at the 5-minute scale. While this study focused on the thermodynamic effects, further work should examine sensitivity to grid spacing and surface roughness.</p> / Thesis

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.

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.

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.

No description available.

A rotina operacional de monitoramento e previsão de tempo tem mudado bastante nos últimos anos. Além de informações convencionais existentes, que são bem conhecidas nos centros operacionais, os dados obtidos por sensoriamento remoto através de satélites, radares meteorológicos e sensores de detecção de descargas atmosféricas fornecem informações vitais e em tempo real, sendo estas as principais ferramentas para a detecção e previsão de tempestades severas. Na America do Sul, em especial o nordeste da Argentina, Paraguai, Uruguai e o sul do Brasil são regiões particularmente sujeitas a ocorrência de eventos severos (precipitação intensa, granizo, enchentes e intensa atividade elétrica, além de vendavais e tornados). No sul do Brasil, a distribuição mensal de chuvas é bastante uniforme, porém com alta variabilidade diária associada, principalmente, à passagem das frentes frias pela região e aos Sistemas Convectivos de Mesoescala, que se formam nessa região. A principal atividade econômica nessa região do Brasil é a agroindústria, diretamente dependente da distribuição da precipitação para a produção, como também susceptível aos fenômenos meteorológicos adversos associados. Além desta atividade, a região sul é responsável pela produção de, aproximadamente, 35% de toda a energia elétrica utilizada no país. O objetivo principal desta pesquisa foi estudar os aspectos espaciais e temporais da atividade elétrica durante os eventos de Sistemas Convectivos de Mesoescala (SCM) e examinar as possíveis relações entre o ambiente no qual essas tempestades se desenvolvem e as características elétricas e hidrometeorológicas desses, conforme observados por um radar meteorológico Doppler, e uma rede de detecção de relâmpagos, principalmente, e também com informações de satélites meteorológicos, dados de superfície e análises de modelos numéricos. Os resultados deste trabalho mostraram a importância das características dinâmicas na região, em especial a presença dos jatos em baixos níveis com a convergência de umidade na região para a organização dos eventos de SCM, como também a distribuição dos regimes de precipitação com características distintas de estrutura de refletividade observada por radar e também de atividade elétrica durante os eventos analisados. Espera-se que os resultados deste trabalho ajudem a entender melhor a relação dos sistemas convectivos de mesoescala e sua estrutura e evolução, como observados e detectados pelos sistemas remotos de monitoramento hidrometeorológico, além de um melhor entendimento e aperfeiçoamento de nossas habilidades de análise e previsão de tempo relacionados a esses eventos severos com precipitação intensa. / The operational routine in weather monitoring and forecasting has changed a lot in the past years. Besides conventional information, well known in operational centers, data from remote sensing such as satellite, weather radars and lightning detection network provide vital information in real time, as the main tools for severe weather detection and forecasting In South America, specially northeastern Argentina, Paraguay, Uruguay and southern Brazil are regions prone to severe weather (intense precipitation, hail, floddings, lightning, tornadoes and gust winds). In the South of Brazil, monthly precipitation distribution is very uniform, but with daily variability associated, mostly, with the passage of cold fronts through the region and to mesoscale convective systems, forming in this area. The major economical activity in this region of Brazil is agroindustry, directly dependent of precipitation distribution for production and also susceptible to diverse meteorological events associated with it. Besides this activity, the south region is responsible for the production of, approximately, 35\\% of all electric energy used in the country. The main goal of this research was to study spatial and temporal aspects of the electrical activity during MCS events, as observed by a weather radar and a network of ligthning detection sensors in the south of Brazil, and to examine possible relations between the environment in which these storms develop and electrical characteristics of these weather systems, using weather radar, lightning, satellite and numerical model information. The results of this work showed the importance of the dynamic characteristics in the regial, specially the presence of low level jets and humidity convergence in the region to organize MCS events, as well as a distribution of precipitation regimes whith distinct characteristics of radar reflectivity and electrical activity during the analysed events. With this work we expect to contribute with the understanding of the relation of MCS structure and evolution as observed and detected by hydrometeorological monitoring systems and to improve the comprehension and ability to analyse and forecast such severe weather systems.

A rotina operacional de monitoramento e previsão de tempo tem mudado bastante nos últimos anos. Além de informações convencionais existentes, que são bem conhecidas nos centros operacionais, os dados obtidos por sensoriamento remoto através de satélites, radares meteorológicos e sensores de detecção de descargas atmosféricas fornecem informações vitais e em tempo real, sendo estas as principais ferramentas para a detecção e previsão de tempestades severas. Na America do Sul, em especial o nordeste da Argentina, Paraguai, Uruguai e o sul do Brasil são regiões particularmente sujeitas a ocorrência de eventos severos (precipitação intensa, granizo, enchentes e intensa atividade elétrica, além de vendavais e tornados). No sul do Brasil, a distribuição mensal de chuvas é bastante uniforme, porém com alta variabilidade diária associada, principalmente, à passagem das frentes frias pela região e aos Sistemas Convectivos de Mesoescala, que se formam nessa região. A principal atividade econômica nessa região do Brasil é a agroindústria, diretamente dependente da distribuição da precipitação para a produção, como também susceptível aos fenômenos meteorológicos adversos associados. Além desta atividade, a região sul é responsável pela produção de, aproximadamente, 35% de toda a energia elétrica utilizada no país. O objetivo principal desta pesquisa foi estudar os aspectos espaciais e temporais da atividade elétrica durante os eventos de Sistemas Convectivos de Mesoescala (SCM) e examinar as possíveis relações entre o ambiente no qual essas tempestades se desenvolvem e as características elétricas e hidrometeorológicas desses, conforme observados por um radar meteorológico Doppler, e uma rede de detecção de relâmpagos, principalmente, e também com informações de satélites meteorológicos, dados de superfície e análises de modelos numéricos. Os resultados deste trabalho mostraram a importância das características dinâmicas na região, em especial a presença dos jatos em baixos níveis com a convergência de umidade na região para a organização dos eventos de SCM, como também a distribuição dos regimes de precipitação com características distintas de estrutura de refletividade observada por radar e também de atividade elétrica durante os eventos analisados. Espera-se que os resultados deste trabalho ajudem a entender melhor a relação dos sistemas convectivos de mesoescala e sua estrutura e evolução, como observados e detectados pelos sistemas remotos de monitoramento hidrometeorológico, além de um melhor entendimento e aperfeiçoamento de nossas habilidades de análise e previsão de tempo relacionados a esses eventos severos com precipitação intensa. / The operational routine in weather monitoring and forecasting has changed a lot in the past years. Besides conventional information, well known in operational centers, data from remote sensing such as satellite, weather radars and lightning detection network provide vital information in real time, as the main tools for severe weather detection and forecasting In South America, specially northeastern Argentina, Paraguay, Uruguay and southern Brazil are regions prone to severe weather (intense precipitation, hail, floddings, lightning, tornadoes and gust winds). In the South of Brazil, monthly precipitation distribution is very uniform, but with daily variability associated, mostly, with the passage of cold fronts through the region and to mesoscale convective systems, forming in this area. The major economical activity in this region of Brazil is agroindustry, directly dependent of precipitation distribution for production and also susceptible to diverse meteorological events associated with it. Besides this activity, the south region is responsible for the production of, approximately, 35\\% of all electric energy used in the country. The main goal of this research was to study spatial and temporal aspects of the electrical activity during MCS events, as observed by a weather radar and a network of ligthning detection sensors in the south of Brazil, and to examine possible relations between the environment in which these storms develop and electrical characteristics of these weather systems, using weather radar, lightning, satellite and numerical model information. The results of this work showed the importance of the dynamic characteristics in the regial, specially the presence of low level jets and humidity convergence in the region to organize MCS events, as well as a distribution of precipitation regimes whith distinct characteristics of radar reflectivity and electrical activity during the analysed events. With this work we expect to contribute with the understanding of the relation of MCS structure and evolution as observed and detected by hydrometeorological monitoring systems and to improve the comprehension and ability to analyse and forecast such severe weather systems.

L’étude des propriétés et processus microphysiques caractérisant la phase glace permet de mieux définir le rôle des nuages dans le cycle de l’eau et sur bilan radiatif de l’atmosphère. Les modèles atmosphériques et les codes d’inversion des données de télédétection utilisent des paramétrisations établies à partir de mesures in situ. Ces mesures servent également des besoins industriels en lien avec la problématique du givrage en aéronautique. L’étude présentée se base sur les données de deux campagnes aéroportées réalisées dans le cadre de la collaboration internationale HAIC-HIWC, ciblant les zones à fort contenu en glace que l’on peut observe rau sein des systèmes convectifs à méso-échelle (MCS) tropicaux. Sur la question des relations « masse-diamètre » (m - D) d’abord, une nouvelle approche est présentée. Basée sur la résolution d’un problème inverse, elle permet de restituer la masse des cristaux à partir de mesures colocalisées classiques en s’affranchissant de la traditionnelle hypothèse de loi puissance, et montre que cette dernière ne permet pas de représenter correctement les propriétés massiques de populations de cristaux hétérogènes (morphologie et tailles différentes) typiques des MCS. La variabilité horizontale des distributions de tailles permet d’étudier le vieillissement de l’enclume d’un point de vue microphysique et de souligner le rôle essentiel du processus d’agrégation dans l’élimination des petits cristaux apportés dans la haute troposphère par la convection profonde et dans la formation d’agrégats supra-millimétriques, précurseurs glacés des précipitations stratiformes. Les relations m - D restituées permettent d’identifier des régimes microphysiques distincts et ouvre la voie aux développement d’une paramétrisation de la masse volumique des hydrométéores en fonction de critères environnementaux. / The detailed characterization of ice cloud microphysics is key to understand their role in theEarth’s hydrological cycle and radiation budget. The developement of atmospheric models and remote sensingalgorithms relies on parametrisations derived from in situ measurements. These measurements are also usedby the aviation industry to handle the problem of ice crystal icing. This PhD work presents an analysis of themass and size properties of ice crystals observed in high ice water content areas embedded in tropical mesoscaleconvective systems (MCS) during two airborne field campaigns of the HAIC-HIWC international project.A new approach is developped to derive mass-size relationships (m - D) from size distributions and icewater contents. The retrieval is formulated as an inverse problem which waives the power law constraint, aclassical assumption that proves to be an oversimplification when applied to heterogeneous populations of iceparticules typical of MCS anvils.The horizontal variability of size distributions and the aging of MCS anvils is described in terms of microphysicalprocesses. The importance of the aggregation growth process is emphasized as it efficiently removessmall ice particles brought into the upper troposphere by deep convection and significantly contributes to theformation of large agregates, precusor of the stratiform precipitations. The analysis of mass properties revealsthat distinctive microphysical regimes may be identified from the m-D relationship retrieved in various conditions.It paves the way toward a statistical model of the effective density of ice particles as a function of environmentalparameters.