998 resultados para Indian Mission


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Half title: African and Haytien mission.

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Shaping the Luso-Brazilian space in Portuguese America was through constant conflicts between different individuals and institutions. Regarding to land ownership, such conflicts were aggravated, depending on the individuals involved and their context. The captaincy of Rio Grande, there is conflict over land ownership Cidade dos Veados and Olho d' Água Azul and its stakeholders: priests of the Society of missionaries of the village Guajiru; indian mission Guajiru; and members of Carneiro da Cunha family. In 1725, the jesuit mission Guajiru requested a league of land at a place called Cidade dos Veados for the indians of his mission claiming that the land that the mission had was not sufficient for the subsistence of the same. In 1727, priest requested another league of land in place Olho d'Água Azul, stating that the mission had more than 192 couples. Both lands were properly required for the mission guajiru. however, in 1760, with the changes imposed by the indian directorate ombudsman responsible for investigating indigenous possessions realized that the indians did not occupy the two lands requested in the 1720s , due to the fact João Carneiro da Cunha has taken possession of the same. As a result, the impasse over land are ligth. This conflict over land ownership Cidade dos Veados and Olho d'Água Azul, we intend to highlight in particular the motivations and mindsets about possessory property of each party involved. We seek to understand the motivations of each group involved allowed the use of specific strategies and set out to try to take possession of the lands of the Cidade dos Veados e Olho d'Água Azul

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Este trabajo estudia el impacto de las nuevas concepciones económicas sobre las estructuras agrarias corporativas introducidas en el Río de la Plata desde la revolución. El caso a analizar es la Reducción indígena de San Ignacio de los Tobas en la frontera oriental con el Chaco, que experimentó un proceso de liquidación de tierras entre 1816 y 1821. En ese proceso se enfrentaron dos discursos en torno al destino de este tipo de instituciones corporativas: uno que proponía su desmantelamiento como entidades jurídicas y la venta de sus tierras a particulares, el otro que sostenía el restablecimiento de su pleno funcionamiento, aunque dentro de un marco republicano que terminó horadando la legitimidad de origen de la Reducción indígena.

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Este trabajo estudia el impacto de las nuevas concepciones económicas sobre las estructuras agrarias corporativas introducidas en el Río de la Plata desde la revolución. El caso a analizar es la Reducción indígena de San Ignacio de los Tobas en la frontera oriental con el Chaco, que experimentó un proceso de liquidación de tierras entre 1816 y 1821. En ese proceso se enfrentaron dos discursos en torno al destino de este tipo de instituciones corporativas: uno que proponía su desmantelamiento como entidades jurídicas y la venta de sus tierras a particulares, el otro que sostenía el restablecimiento de su pleno funcionamiento, aunque dentro de un marco republicano que terminó horadando la legitimidad de origen de la Reducción indígena.

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Este trabajo estudia el impacto de las nuevas concepciones económicas sobre las estructuras agrarias corporativas introducidas en el Río de la Plata desde la revolución. El caso a analizar es la Reducción indígena de San Ignacio de los Tobas en la frontera oriental con el Chaco, que experimentó un proceso de liquidación de tierras entre 1816 y 1821. En ese proceso se enfrentaron dos discursos en torno al destino de este tipo de instituciones corporativas: uno que proponía su desmantelamiento como entidades jurídicas y la venta de sus tierras a particulares, el otro que sostenía el restablecimiento de su pleno funcionamiento, aunque dentro de un marco republicano que terminó horadando la legitimidad de origen de la Reducción indígena.

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In the present study the availability of satellite altimeter sea level data with good spatial and temporal resolution is explored to describe and understand circulation of the tropical Indian Ocean. The derived geostrophic circulations showed large variability in all scales. The seasonal cycle described using monthly climatology generated using 12 years SSH data from 1993 to 2004 revealed several new aspects of tropical Indian Ocean circulation. The interannual variability presented in this study using monthly means of SSH data for 12 years have shown large year-to-year variability. The EOF analysis has shown the influence of several periodic signals in the annual and interannual scales where the relative strengths of the signals also varied from year to year. Since one of the reasons for this kind of variability in circulation is the presence of planetary waves. This study discussed the influence of such waves on circulation by presenting two cases one in the Arabian Sea and other in the Bay of Bengal.

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It has long been thought that tropical rainfall retrievals from satellites have large errors. Here we show, using a new daily 1 degree gridded rainfall data set based on about 1800 gauges from the India Meteorology Department (IMD), that modern satellite estimates are reasonably close to observed rainfall over the Indian monsoon region. Daily satellite rainfalls from the Global Precipitation Climatology Project (GPCP 1DD) and the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) are available since 1998. The high summer monsoon (June-September) rain over the Western Ghats and Himalayan foothills is captured in TMPA data. Away from hilly regions, the seasonal mean and intraseasonal variability of rainfall (averaged over regions of a few hundred kilometers linear dimension) from both satellite products are about 15% of observations. Satellite data generally underestimate both the mean and variability of rain, but the phase of intraseasonal variations is accurate. On synoptic timescales, TMPA gives reasonable depiction of the pattern and intensity of torrential rain from individual monsoon low-pressure systems and depressions. A pronounced biennial oscillation of seasonal total central India rain is seen in all three data sets, with GPCP 1DD being closest to IMD observations. The new satellite data are a promising resource for the study of tropical rainfall variability.

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One of the most important modes of summer season precipitation variability over the Indian region, the diurnal cycle, is studied using the Tropical Rainfall Measuring Mission 3-hourly, 0.25 degrees x 0.25 degrees 3B42 rainfall product for nine years (1999-2007). Most previous studies have provided an analysis of a single year or a few years of satellite-or station-based rainfall data. Our study aims to systematically analyze the statistical characteristics of the diurnal-scale signature of rainfall over the Indian and surrounding regions. Using harmonic analysis, we extract the signal corresponding to diurnal and subdiurnal variability. Subsequently, the 3-hourly time period or the octet of rainfall peak for this filtered signal, referred to as the ``peak octet,'' is estimated, with care taken to eliminate spurious peaks arising out of Gibbs oscillations. Our analysis suggests that over the Bay of Bengal, there are three distinct modes of the peak octet of diurnal rainfall corresponding to 1130, 1430, and 1730 Indian standard time (IST), from the north central to south bay. This finding could be seen to be consistent with southward propagation of the diurnal rainfall pattern reported by earlier studies. Over the Arabian Sea, there is a spatially coherent pattern in the mode of the peak octet (1430 IST), in a region where it rains for more than 30% of the time. In the equatorial Indian Ocean, while most of the western part shows a late night/early morning peak, the eastern part does not show a spatially coherent pattern in the mode of the peak octet owing to the occurrence of a ual maxima (early morng and early/late afternoon). The imalayan foothills were found to have a mode of peak octet corresponding to 0230 IST, whereas over the Burmese mountains and the Western Ghats (west coast of India) the rainfall peaks during late afternoon/early evening (1430-1730 IST). This implies that the phase of the diurnal cycle over inland orography (e. g., Himalayas) is significantly different from coastal orography (e. g., Western Ghats). We also find that over the Gangetic plains, the peak octet is around 1430 IST, a few hours earlier compared to the typical early evening maxima over land.

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The Government of India has announced the Greening India Mission (GIM) under the National Climate Change Action Plan. The Mission aims to restore and afforest about 10 mha over the period 2010-2020 under different sub-missions covering moderately dense and open forests, scrub/grasslands, mangroves, wetlands, croplands and urban areas. Even though the main focus of the Mission is to address mitigation and adaptation aspects in the context of climate change, the adaptation component is inadequately addressed. There is a need for increased scientific input in the preparation of the Mission. The mitigation potential is estimated by simply multiplying global default biomass growth rate values and area. It is incomplete as it does not include all the carbon pools, phasing, differing growth rates, etc. The mitigation potential estimated using the Comprehensive Mitigation Analysis Process model for the GIM for the year 2020 has the potential to offset 6.4% of the projected national greenhouse gas emissions, compared to the GIM estimate of only 1.5%, excluding any emissions due to harvesting or disturbances. The selection of potential locations for different interventions and species choice under the GIM must be based on the use of modelling, remote sensing and field studies. The forest sector provides an opportunity to promote mitigation and adaptation synergy, which is not adequately addressed in the GIM. Since many of the interventions proposed are innovative and limited scientific knowledge exists, there is need for an unprecedented level of collaboration between the research institutions and the implementing agencies such as the Forest Departments, which is currently non-existent. The GIM could propel systematic research into forestry and climate change issues and thereby provide global leadership in this new and emerging science.

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In this study, an effort has been made to study heavy rainfall events during cyclonic storms over Indian Ocean. This estimate is based on microwave observations from tropical rainfall measuring mission (TRMM) Microwave Imager (TMI). Regional scattering index (SI) developed for Indian region based on measurements at 19-, 21- and 85-GHz brightness temperature and polarization corrected temperature (PCT) at 85 GHz have been utilized in this study. These PCT and SI are collocated against Precipitation Radar (PR) onboard TRMM to establish a relationship between rainfall rate, PCT and SI. The retrieval technique using both linear and nonlinear regressions has been developed utilizing SI, PCT and the combination of SI and PCT. The results have been compared with the observations from PR. It was found that a nonlinear algorithm using combination of SI and PCT is more accurate than linear algorithm or nonlinear algorithm using either SI or PCT. Statistical comparison with PR exhibits the correlation coefficients (CC) of 0.68, 0.66 and 0.70, and root mean square error (RMSE) of 1.78, 1.96 and 1.68 mm/h from the observations of SI, PCT and combination of SI and PCT respectively using linear regressions. When nonlinear regression is used, the CC of 0.73, 0.71, 0.79 and RMSE of 1.64, 1.95, 1.54 mm/h are observed from the observations of SI, PCT and combination of SI and PCT, respectively. The error statistics for high rain events (above 10 mm/h) shows the CC of 0.58, 0.59, 0.60 and RMSE of 5.07, 5.47, 5.03 mm/h from the observations of SI, PCT and combination of SI and PCT, respectively, using linear regression, and on the other hand, use of nonlinear regression yields the CC of 0.66, 0.64, 0.71 and RMSE of 4.68, 5.78 and 4.02 mm/h from the observations of SI, PCT and combined SI and PCT, respectively.