36 resultados para CALIPSO


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Psoriasis is a chronic inflammatory disease that significantly impacts life quality, being associated with stress and mental disorders. We investigated whether the activity of the hypothalamic-pituitary-adrenal (HPA) axis was associated with psoriasis severity, daily life stress and anxiety, and depressive symptoms. In this ancillary study, which was part of the CALIPSO (coronary artery calcium in psoriasis) study, saliva was collected from 102 patients with psoriasis immediately upon awakening, 30, and 60 min after awakening, at 2:00 pm and at bedtime (five time points) to determine salivary cortisol levels. We used Pearson's correlation coefficient to evaluate the association of clinical and psychopathological variables with HPA activity. We found a direct correlation between bedtime cortisol and psoriasis severity evaluated by the psoriasis area severity index (PASI; r=0.39, P<0.001). No correlations between other clinical and psychopathological variables or with other cortisol assessments were observed. The findings indicated that HPA dysfunction may be present in psoriasis, as bedtime cortisol was correlated with psoriasis severity. Our study is limited by the lack of a control group; therefore, we were not able to explore whether these cortisol values were different compared with a concurrent, healthy sample.

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In this paper, data from spaceborne radar, lidar and infrared radiometers on the “A-Train” of satellites are combined in a variational algorithm to retrieve ice cloud properties. The method allows a seamless retrieval between regions where both radar and lidar are sensitive to the regions where one detects the cloud. We first implement a cloud phase identification method, including identification of supercooled water layers using the lidar signal and temperature to discriminate ice from liquid. We also include rigorous calculation of errors assigned in the variational scheme. We estimate the impact of the microphysical assumptions on the algorithm when radiances are not assimilated by evaluating the impact of the change in the area-diameter and the density-diameter relationships in the retrieval of cloud properties. We show that changes to these assumptions affect the radar-only and lidar-only retrieval more than the radar-lidar retrieval, although the lidar-only extinction retrieval is only weakly affected. We also show that making use of the molecular lidar signal beyond the cloud as a constraint on optical depth, when ice clouds are sufficiently thin to allow the lidar signal to penetrate them entirely, improves the retrieved extinction. When infrared radiances are available, they provide an extra constraint and allow the extinction-to-backscatter ratio to vary linearly with height instead of being constant, which improves the vertical distribution of retrieved cloud properties.

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The A-Train constellation of satellites provides a new capability to measure vertical cloud profiles that leads to more detailed information on ice-cloud microphysical properties than has been possible up to now. A variational radar–lidar ice-cloud retrieval algorithm (VarCloud) takes advantage of the complementary nature of the CloudSat radar and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) lidar to provide a seamless retrieval of ice water content, effective radius, and extinction coefficient from the thinnest cirrus (seen only by the lidar) to the thickest ice cloud (penetrated only by the radar). In this paper, several versions of the VarCloud retrieval are compared with the CloudSat standard ice-only retrieval of ice water content, two empirical formulas that derive ice water content from radar reflectivity and temperature, and retrievals of vertically integrated properties from the Moderate Resolution Imaging Spectroradiometer (MODIS) radiometer. The retrieved variables typically agree to within a factor of 2, on average, and most of the differences can be explained by the different microphysical assumptions. For example, the ice water content comparison illustrates the sensitivity of the retrievals to assumed ice particle shape. If ice particles are modeled as oblate spheroids rather than spheres for radar scattering then the retrieved ice water content is reduced by on average 50% in clouds with a reflectivity factor larger than 0 dBZ. VarCloud retrieves optical depths that are on average a factor-of-2 lower than those from MODIS, which can be explained by the different assumptions on particle mass and area; if VarCloud mimics the MODIS assumptions then better agreement is found in effective radius and optical depth is overestimated. MODIS predicts the mean vertically integrated ice water content to be around a factor-of-3 lower than that from VarCloud for the same retrievals, however, because the MODIS algorithm assumes that its retrieved effective radius (which is mostly representative of cloud top) is constant throughout the depth of the cloud. These comparisons highlight the need to refine microphysical assumptions in all retrieval algorithms and also for future studies to compare not only the mean values but also the full probability density function.

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In this paper, the statistical properties of tropical ice clouds (ice water content, visible extinction, effective radius, and total number concentration) derived from 3 yr of ground-based radar–lidar retrievals from the U.S. Department of Energy Atmospheric Radiation Measurement Climate Research Facility in Darwin, Australia, are compared with the same properties derived using the official CloudSat microphysical retrieval methods and from a simpler statistical method using radar reflectivity and air temperature. It is shown that the two official CloudSat microphysical products (2B-CWC-RO and 2B-CWC-RVOD) are statistically virtually identical. The comparison with the ground-based radar–lidar retrievals shows that all satellite methods produce ice water contents and extinctions in a much narrower range than the ground-based method and overestimate the mean vertical profiles of microphysical parameters below 10-km height by over a factor of 2. Better agreements are obtained above 10-km height. Ways to improve these estimates are suggested in this study. Effective radii retrievals from the standard CloudSat algorithms are characterized by a large positive bias of 8–12 μm. A sensitivity test shows that in response to such a bias the cloud longwave forcing is increased from 44.6 to 46.9 W m−2 (implying an error of about 5%), whereas the negative cloud shortwave forcing is increased from −81.6 to −82.8 W m−2. Further analysis reveals that these modest effects (although not insignificant) can be much larger for optically thick clouds. The statistical method using CloudSat reflectivities and air temperature was found to produce inaccurate mean vertical profiles and probability distribution functions of effective radius. This study also shows that the retrieval of the total number concentration needs to be improved in the official CloudSat microphysical methods prior to a quantitative use for the characterization of tropical ice clouds. Finally, the statistical relationship used to produce ice water content from extinction and air temperature obtained by the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) satellite is evaluated for tropical ice clouds. It is suggested that the CALIPSO ice water content retrieval is robust for tropical ice clouds, but that the temperature dependence of the statistical relationship used should be slightly refined to better reproduce the radar–lidar retrievals.

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The West African summer monsoon (WAM) is an important driver of the global climate and locally provides most of the annual rainfall. A solid climatological knowledge of the complex vertical cloud structure is invaluable to forecasters and modelers to improve the understanding of the WAM. In this paper, 4 years of data from the CloudSat profiling radar and CALIPSO are used to create a composite zonal mean vertical cloud and precipitation structure for the WAM. For the first time, the near-coincident vertical radar and lidar profiles allow for the identification of individual cloud types from optically thin cirrus and shallow cumulus to congestus and deep convection. A clear diurnal signal in zonal mean cloud structure is observed for the WAM, with deep convective activity enhanced at night producing extensive anvil and cirrus, while daytime observations show more shallow cloud and congestus. A layer of altocumulus is frequently observed over the Sahara at night and day, extending southward to the coastline, and the majority of this cloud is shown to contain supercooled liquid in the top. The occurrence of deep convective systems and congestus in relation to the position of the African easterly jet is studied, but only the daytime cumulonimbus distribution indicates some influence of the jet position.

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Ice cloud representation in general circulation models remains a challenging task, due to the lack of accurate observations and the complexity of microphysical processes. In this article, we evaluate the ice water content (IWC) and ice cloud fraction statistical distributions from the numerical weather prediction models of the European Centre for Medium-Range Weather Forecasts (ECMWF) and the UK Met Office, exploiting the synergy between the CloudSat radar and CALIPSO lidar. Using the last three weeks of July 2006, we analyse the global ice cloud occurrence as a function of temperature and latitude and show that the models capture the main geographical and temperature-dependent distributions, but overestimate the ice cloud occurrence in the Tropics in the temperature range from −60 °C to −20 °C and in the Antarctic for temperatures higher than −20 °C, but underestimate ice cloud occurrence at very low temperatures. A global statistical comparison of the occurrence of grid-box mean IWC at different temperatures shows that both the mean and range of IWC increases with increasing temperature. Globally, the models capture most of the IWC variability in the temperature range between −60 °C and −5 °C, and also reproduce the observed latitudinal dependencies in the IWC distribution due to different meteorological regimes. Two versions of the ECMWF model are assessed. The recent operational version with a diagnostic representation of precipitating snow and mixed-phase ice cloud fails to represent the IWC distribution in the −20 °C to 0 °C range, but a new version with prognostic variables for liquid water, ice and snow is much closer to the observed distribution. The comparison of models and observations provides a much-needed analysis of the vertical distribution of IWC across the globe, highlighting the ability of the models to reproduce much of the observed variability as well as the deficiencies where further improvements are required.

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El objetivo de este trabajo consiste en interpretar la forma en que la novela Calypso metaforiza el encuentro – desencuentro entre la cultura meseteña y la cultura del Caribe costarricense. Con base en las características históricas de ese encuentro, Tatiana Lobo pone frente a frente a los dos grupos culturales y recrea los rasgos básicos de cada uno de ellos. A partir de aquí, desarrolla una valoración de ambas culturas en la que destaca sus profundas diferencias en la concepción del mundo, para lo cual utiliza una metáfora muy productiva que le permite, por un lado, recrear la imposibilidad que tiene el blanco de entender al negro y, por otro, parodiar negativamente la cultura costarricense meseteña. El recurso que utiliza es el caly(i)pso, como manifestación propia de la cultura afrocaribeña, pero además como elemento evocador de la cultura clásica griega.

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CALIPSO (Cloud-Aerosol Lidar and Pathfinder Satellite Observations) Level 3 (CL3) data were compared against EARLINET (European Aerosol Research Lidar Network) monthly averages obtained by profiles during satellite overpasses. Data from EARLINET stations of Évora, Granada, Leipzig, Naples and Potenza, equipped with advanced multi-wavelength Raman lidars were used for this study. Owing to spatial and temporal differences, we reproduced the CL3 filtering rubric onto the CALIPSO Level 2 data. The CALIPSO monthly mean profiles following this approach are called CALIPSO Level 3*, CL3*. This offers the possibility to achieve direct comparable datasets. In respect to CL3 data, the agreement typically improved, in particular above the areas directly affected by the anthropogenic activities within the planetary boundary layer. However in most of the cases a subtle CALIPSO underestimation was observed with an average bias of 0.03 km-1. We investigated the backscatter coefficient applying the same screening criteria, where the mean relative difference in respect to the extinction comparison improved from 15.2% to 11.4%. Lastly, the typing capabilities of CALIPSO were assessed outlining the importance of the correct aerosol type (and associated lidar ratio value) assessment to the CALIPSO aerosol properties retrieval.

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O objetivo deste trabalho foi avaliar características agronômicas de genótipos de bananeira, em três ciclos de produção. O experimento foi realizado em blocos ao acaso, com parcelas subdivididas e cinco repetições, em Rio Branco, AC. Os genótipos Preciosa, Japira, Pacovan Ken, Pacovan, PA42-44, Prata-anã, ST12-31, FHIA 02, Nanicão, Grande Naine, Calipso, Ambrósia e Bucaneiro foram avaliados quanto aos caracteres: altura da planta; diâmetro do pseudocaule; número de folhas vivas na floração e na colheita; ciclo de formação do cacho da floração à colheita; número de pencas por cacho; massa do fruto e do cacho; e produtividade. As cultivares Preciosa e Pacovan Ken apresentaram as maiores alturas, e os híbridos PA42-44 e FHIA 02, e as cultivares Prata-anã, Nanicão e Grande Naine, o porte mais baixo. As cultivares Nanicão, Ambrósia, Bucaneiro, Pacovan, Prata-anã e Grande Naine e o híbrido ST12-31 apresentaram os menores números de folhas vivas na colheita. A cultivar Preciosa e o híbrido FHIA 02 foram os mais produtivos. Os híbridos PA42-44 e FHIA 02 apresentam características agronômicas promissoras e podem ser incorporados ao sistema produtivo, assim como os híbridos de Pacovan, já adaptados e recomendados para o cultivo no Estado do Acre.

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O conhecimento das características pós-colheita de novos híbridos de bananeira é uma importante informação que auxilia o melhorista em sua tomada de decisão. Este trabalho teve como objetivo avaliar genótipos de bananeira com relação às características de pós-colheita e resistência ao desprendimento do fruto. Foram utilizados frutos da segunda penca de 16 híbridos (Calipso, Bucaneiro, Ambrosia, YB42-21, PV42-53, PV42-68, PV42-81, PV42-85, PV42-129, PV42-142, PV42-143, ST12-31, ST42-08, PV03-44, FHIA-03 e SH 3640) e quatro cultivares (Pacovan, Prata Comum, Nam e Figue Pomme Naine), que foram avaliadas quanto ao peso, comprimento, circunferência, relação polpa/casca, resistência ao desprendimento, firmeza, sólidos solúveis totais (SST), acidez total titulável (ATT), relação SST/ATT e tempo de amadurecimento. Empregou-se um delineamento inteiramente casualizado, com cinco repetições para todas as características, exceto para a firmeza do fruto em que se utilizaram dez repetições. A unidade experimental foi constituída de um único fruto. Os dados foram submetidos à analise de variância e as médias comparadas pelo Teste Scott & Knott, a 5% de probabilidade. A cultivar Nam apresentou a menor acidez titulável e a maior relação SST/ATT, enquanto a maior firmeza do fruto foi apresentada pelos híbridos PV42-81 e PV42-53. Os frutos mais pesados foram do híbrido SH 3640, e os mais compridos foram dos híbridos Bucaneiro e PV42-81. Os híbridos PV42-85 e ST42-08 apresentaram maior resistência ao desprendimento, não diferindo da 'Pacovan'. No entanto, superaram a 'Prata Comum', que obteve a menor resistência. Os genótipos 'Nam', PV42-143 e PV42-129 apresentaram maior tempo de maturação após a colheita quando comparados, principalmente, à 'Prata Comum'. A 'Nam' deve ser considerada como uma nova alternativa na produção de banana. O SH3640, híbrido da Prata Anã, pode ser recomendado como nova cultivar. Os híbridos da Prata São Tomé (ST42-08) e Pacovan (PV42-85, PV42-81, PV42-68, PV42-53, PV42-129 e PV42-143) podem substituir as cultivares Prata Comum e Pacovan nos sitemas produção.

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O objetivo deste trabalho foi caracterizar e avaliar o comportamento de 13 genótipos (variedades e híbridos) de bananeira dos grupos genômicos AAA, AAAA, AAB e AAAB, em dois ciclos de produção, no sudoeste da Bahia, região de Guanambi, mediante o uso de descritores fenotípicos relevantes para a identificação e seleção de indivíduos superiores. Foram avaliadas as variedades Prata-Anã e Pacovan (AAB), Grande Naine e Nanicão (AAA), e os híbridos PA42-44, Preciosa, Japira, Pacovan Ken e ST12-31 (AAAB) e Ambrosia, Calipso, Bucaneiro e FHIA-02 (AAAA), selecionadas na Embrapa Mandioca e Fruticultura Tropical. Utilizou-se o delineamento em blocos casualizados, com 13 tratamentos, cinco repetições, parcelas constituídas por 20 plantas, seis úteis, e espaçamento de 3,00 m x 2,00 m. Foram considerados os caracteres: altura da planta, perímetro do pseudocaule, número de folhas vivas no florescimento e na colheita, número de dias do plantio ao florescimento e à colheita, peso do cacho e de pencas, número de frutos, peso, comprimento e diâmetro do fruto. A 'Grande Naine' e a 'Nanicão' destacaram-se nos caracteres peso do cacho e das pencas, número de frutos, peso e comprimento do fruto; o híbrido FHIA-02 apresentou o maior diâmetro do fruto nos dois ciclos de produção e a maior precocidade para florescimento e colheita no segundo ciclo; a 'Calipso' foi o mais tardia para colheita; o ST12-31 apresentou a maior altura; a variedade Prata-Anã destacou-se no caráter número de folhas vivas no florescimento e na colheita; os híbridos tipo prata, PA42-44, Pacovan Ken, Preciosa e Japira destacaram-se nos parâmetros relacionados à qualidade dos frutos quando comparados às suas genitoras 'Prata-Anã' e 'Pacovan', respectivamente; houve incremento nos parâmetros que refletem o desenvolvimento vegetativo e a produtividade do primeiro para o segundo ciclo de produção em todos os genótipos avaliados.