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Dynamical Donwscaling for Railroad Areas in Eastern Amazon and Southeastern Brazil:current climate and Near-Future Projections

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Atmospheric and climate Sciences 2014年第2期4卷 155-163页

作者： Everaldo B.de Souza bergson c.de moraes Douglas B.S.Ferreira Luiz Gylvan Meira Filho Instituto Tecnológico VALE—ITV Grupo de Pesquisa sobre Mudancas do ClimaBelémBrazil

We performed a dynamic downscaling using REGcM4 regional model driven by MPI global model for current (1990/2012) and near-future (2015/2039) climate in order to characterize the seasonal rainfall regimes throughout the railroad areas in eastern Amazon and southeastern Brazil. The analysis of observational data for the current climate indicated the existence of pronounced spatial variations in rainfall regime across railroad regions during both the rainy and dry seasons. Although models have presented generalized underestimation, the regional model showed improvements on spatial representation and intensity of the rainfall in comparison with global model results. We reported the future projections taking into account the correction of simulated rainfall by the values of the biases found in each respective seasonal regime, so that the results are expressed by percentage changes of the future (2015/2037) relative to the current climate patterns. For the railroad in eastern Amazon, projections indicate a weak decrease of rainfall of about -15% in the rainy season (January to May), however during the dry season (June to October) are expected drastic reductions between -70% and -90% in south (carajás in Pará state) and north (Sao Luis in Maranhao state) portions. conversely, for the railroad in southeast Brazil, model projections point out for an increased rainfall regime during the rainy season (October to February) around +30% to +40% in the east part of the region over the Espírito Santo state.

关键词： Regional climate Modeling Rainy and Dry Seasons climate change Brazil climate REGcM4

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comparative Skill of Numerical Weather Forecasts in Eastern Amazonia

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Atmospheric and climate Sciences 2013年第3期3卷 355-363页

作者： bergson cavalcanti de moraes Douglas Batista da Silva Ferreira Luiz Gylvan Meira Filho Juarez Ventura de Oliveira Everaldo Barreiros de Souza Pedro Pereira Ferreira Junior Renata Kelen cardoso camara Edson Jose Pda Rocha Joao Batista M.Ribeiro Vale Institute of Technology BelemBrazil Federal University of Para(UFPa) BelemBrazil

The present study evaluates the performance of three numerical weather forecasting models: Global Forecast System (GFS), Brazilian Regional Atmospheric Modelling System (BRAMS) and ETA Regional Model (ETA), by means of the Mean Error (ME) and the Root Mean Square Error (RMSE), during the most rainy four months period (January to April 2012) on Eastern Amazonia. The models displayed errors of superestimation and underestimation with respect to the observed precipitation, mainly over center-north of Pará and all of Amapá, where the precipitation is higher. Among the analyzed models, GFS shows the best performance, except during January and March, when the model to underestimated precipitation, possibly due to the anomalously high values recorded.

关键词： Meteorological Models Mean Error Root Mean Square Error Precipitation Eastern Amazonia

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Actual Evapotranspiration Estimation Using Remote Sensing: comparison of SEBAL and SSEB Approaches

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Advances in Remote Sensing 2015年第3期4卷 234-247页

作者： bergson G. Bezerra Bernardo B. da Silva carlos A. c. dos Santos José R. c. Bezerra Program of Post-Graduate in climatic Sciences Federal University of Rio Grande do Norte (PPGCC/UFRN)Natal Brazil department of Geographical Sciences Federal University of Pernambuco Recife Brazil department of Atmospheric Science Federal University of Campina Grande Campina Grande Brazil Brazilian Agricultural Research company/National centre of cotton Research (EMBRAPA/Algod&atildeo) Campina Grande Brazil

The main objective of this paper was to evaluate the daily actual evapotranspiration (ET) accuracy obtained by remote sensing algorithms when compared with Bowen ratio measurements performed in the cotton fields. The experiment was conducted in a cotton experimental field of EMBRAPA located in ceará State, Brazil. Seven TM Landsat-5 images acquired in 2005 and 2008 were used to perform SEBAL and SSEB algorithms. The comparison between the estimated values by remoting sensing algorithms and the measured values in situ showed an acceptable accuracy. Besides, SSEB algorithm showed to be an important tool for ET analysis in the semi-arid regions, due to the fact that it does not need the meteorological data to solve the energy balance, but only the average temperature of the “hot” and “cold” pixels. Additionally, SSEB presents simpler processing than SEBAL algorithm that needs to solve an iterative process to obtain the sensible heat flux values.

关键词： Energy Balance Landsat Evapotranspiration Bowen Ratio Semi-Arid

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材料与记忆第一版

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丛书名：现代西方思想文库

1999年

作者：（法）昂利·柏格森（H.bergson）肖聿译

本书认为要阐明身体和思维相互关系的任何方面，必须消除或缓和空间扩展性与非空间扩展性、性质与数量及自由与必然之间的三重对立。

ISBN: (纸本)7508016408

本书认为要阐明身体和思维相互关系的任何方面，必须消除或缓和空间扩展性与非空间扩展性、性质与数量及自由与必然之间的三重对立。

关键词：记忆学科:研究

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可能性敏感依赖引发技术创造的机制

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东北大学学报（社会科学版） 2017年第6期19卷 557-563页

作者：罗玲玲马德勇东北大学科学技术哲学研究中心辽宁沈阳110169

可供性内含的关系范畴构成了柏格森有关智力是建立关系倾向的生态依据,提供了从本能向智力如何转化的解释机制。这一机制可用创造的可能性敏感依赖来概括。其内涵包括:创造的初始注意机制,人与环境的契合引导行为和创造的可能性机制,对... 详细信息

可供性内含的关系范畴构成了柏格森有关智力是建立关系倾向的生态依据,提供了从本能向智力如何转化的解释机制。这一机制可用创造的可能性敏感依赖来概括。其内涵包括:创造的初始注意机制,人与环境的契合引导行为和创造的可能性机制,对消极可供性的知觉则提供了不可能的有意回避机制。可能性敏感依赖解释技术创造具有重要理论价值:为技术目的建立奠定了基础,也预示了技术创造的自然逻辑。

关键词：可供性创造本能智力可能性敏感依赖

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