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Bueno R.C.,Federal University of Lavras | de Carvalho L.G.,Federal University of Lavras | Vianello R.L.,Instituto Nacional Of Meteorologia | Marques J.J.G.S.M.,Federal University of Lavras
Ciencia e Agrotecnologia

The present work was carried out in order to study the ccurrence probabilities o of extreme winds and their predominant directions in the region of Lavras, Minas Gerais state, Brazil. The data were collected from graphic registrations of the universal anemograph of the Principal Climatological Station of Lavras, located in the campus of the Federal University of Lavras. With the available data (139 months), in the period of January/1988 to May/2004, the adjustment by Gamma distribution was verified for this data series applying the χ 2 test to the 5% probability. Estimates of the occurrence probabilities of wind gust equal or above 10, 20, 30, 40, 50, 60, 70, 80, 90 and 100 km h -1 were determined for each month. It was verified that the months of September to February presented strong winds with probabilities higher than the other months. For very strong winds, above 100 km h -1, the occurrence probabilities were minimum for all months of the year. It was observed that the predominant wind gust direction were east and west in relation to the others. Source

Costa R.L.,University of Brasilia | De Souza E.P.,Federal University of Campina Grande | Silva F.D.S.,Instituto Nacional Of Meteorologia
Revista Brasileira de Meteorologia

This study aimed to apply the heat engine theory to an event of Upper-Tropospheric Cyclonic Vortex (UTCV) occurred in Northeast Brazil in order to examine one of the mechanisms that maintains this type of system. The theory is based on the second law of thermodynamics and it was used to calculate the pressure difference between two points located at the center and periphery of UTCV. The Brazilian developments on the Regional Atmospheric Modeling System (BRAMS) model represented well the event occurred in the period of 10 to 21 January 2011, showing a higher intensity in this event from 16 to 19 January 2011. The heat engine theory showed as an useful tool to be used in the study of UTCVs, showing good agreement with the simulations performed with the model. Source

Coelho M.S.Z.S.,Instituto Nacional Of Meteorologia | Massad E.,University of Sao Paulo | Massad E.,London School of Hygiene and Tropical Medicine
International Journal of Biometeorology

In this work, we correlate the daily number of human leptospirosis cases with several climatic factors. We used a negative binomial model that considers hospital daily admissions due to leptospirosis as the dependent variable, and the climatic variables of daily precipitation pattern, and maximum and minimum temperature as independent variables. We calculated the monthly leptospirosis admission probabilities from the precipitation and maximum temperature variables. The month of February showed the highest probability, although values were also high during the spring months. The month of February also showed the highest number of hospital admissions. Another interesting result is that, for every 20 mm precipitation, there was an average increase of 31.5% in hospital admissions. Additionally, the relative risk of leptospirosis varied from 1.1 to 2.0 when the precipitation varied from 20 to 140 mm. © 2011 ISB. Source

Agency: Cordis | Branch: FP7 | Program: CSA-SA | Phase: SPA.2009.3.2.01 | Award Amount: 985.77K | Year: 2010

The SAGA-EO proposition consists in a feasibility study on critical pieces of the puzzle of the Lisbon Declaration Implementation Plan on GMES and Africa and to complement previous experience in that field. The SAGA-EO concept is based on a sound experience of both European and African programmes dealing with environment monitoring based on information derived from Earth Observation data. The main finding driving the concept is that no programme tackles the EO field as a global approach (technological, organisational and institutional). The way to implement this EO capacity building challenge is to set-up dedicated EO networks at African national level and to link them with existing initiatives in Africa and Europe. In SAGA-EO, the EO network approach will constitute the ground where to build the thematic networks. The main purpose and objectives of the SAGA-EO project is to design and implement the network organisation and associated technology and to prove it in five countries trough the following the five main actions : Action 1: To define African Earth Observation network organisational models at national level Action 2: To define generic technological solutions, compatible with existing standards, to receive, archive, share, disseminate, advise on EO data Action 3: To implement a proof of concept of the organisation & technology in few countries Action 4: To write a methodology for the implementation of the future operational networks and system Action 5: To cooperate with the GMES Africa Working Groups in the preparation of the EU-AU Join Strategic Partnership action plan.

Agency: Cordis | Branch: FP7 | Program: CP-FP-SICA | Phase: ENV.2011.4.1.4-1 | Award Amount: 4.12M | Year: 2011

AGRICAB aims to strengthen Earth Observation (EO) capacities in Africa by building on the open data sharing through GEONETCast, connecting the available satellite and other data with predictive models in order to facilitate integration in agriculture and forestry planning and management processes. Dedicated national applications in various African countries are designed to address particular policy issues related to livestock, crop systems and forest management. Through these applications, twinning partnerships are developed between a European and an African partner, to maximize knowledge transfer and integration. Experiences learned will form a good basis for regional trainings to the member states of the Observatoire du Sahara et du Sahel (OSS) in Tunisia, the Regional Centre for Mapping Resources for Development (RCMRD) in Kenya and the AGRHYMET regional centre in Niger, covering almost the entire African continent. These activities will be linked with Africa-wide management and research initiatives and programmes on Forest and Agriculture and builds on experiences from the GEONETCast for and by Developing Countries (DevCoCast) and Global Monitoring for Food Security (GMFS) projects.

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