981 resultados para hydrometeorology, Penman-Monteith-FAO, kriging
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Doty School
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Doty School
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Hubert School using Detroit News for "Current Events" study
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Hubert School
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Hubert School, Irving
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Large monitoring networks are becoming increasingly common and can generate large datasets from thousands to millions of observations in size, often with high temporal resolution. Processing large datasets using traditional geostatistical methods is prohibitively slow and in real world applications different types of sensor can be found across a monitoring network. Heterogeneities in the error characteristics of different sensors, both in terms of distribution and magnitude, presents problems for generating coherent maps. An assumption in traditional geostatistics is that observations are made directly of the underlying process being studied and that the observations are contaminated with Gaussian errors. Under this assumption, sub–optimal predictions will be obtained if the error characteristics of the sensor are effectively non–Gaussian. One method, model based geostatistics, assumes that a Gaussian process prior is imposed over the (latent) process being studied and that the sensor model forms part of the likelihood term. One problem with this type of approach is that the corresponding posterior distribution will be non–Gaussian and computationally demanding as Monte Carlo methods have to be used. An extension of a sequential, approximate Bayesian inference method enables observations with arbitrary likelihoods to be treated, in a projected process kriging framework which is less computationally intensive. The approach is illustrated using a simulated dataset with a range of sensor models and error characteristics.
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Book review
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The objective of this research was to investigate monthly climatological, seasonal, annual and interdecadal of the reference evapotranspiration (ETo) in Acre state in order to better understand its spatial and temporal variability and identify possible trends in the region. The study was conducted with data from Rio Branco municipalities, the state capital, Tarauacá and Cruzeiro do Sul considering a 30-year period (1985-2014), from monthly data from weather stations surface of the National Institute of Meteorology. The methodology was held, first, the consistency of meteorological data. Thus, it was made the gap filling in the time series by means of multivariate techniques. Subsequently were performed statistical tests trend (Mann-Kendall) and homogeneity, by Sen's estimator of the magnitude of this trend is estimated, as well as computational algorithms containing parametric and non-parametric tests for two samples to identify from that year the trend has become significant. Finally, analysis of variance technique (ANOVA) was adopted in order to verify whether there were significant differences in average annual evapotranspiration between locations. The indirect method of Penman-Montheith parameterized by FAO was used to calculate the ETo. The results of this work through examination of the descriptive statistics showed that the ETo the annual average was 3.80, 2.92 and 2.86 mm day-1 year, to Rio Branco, Tarauacá and Cruzeiro do Sul, respectively. Featuring quite remarkable seasonal pattern with a minimum in June and a maximum in October, with Rio Branco to town one with the strongest signal (amplitudes) on the other hand, the Southern Cross presented the highest variability among the studied locations. By ANOVA it was found that the average annual statistically different for a significance level of 1% between locations, but the annual average between Cruzeiro do Sul and Tarauacá no statistically significant differences. For the three locations, the 2000s was the one with the highest ETo values associated with warmer waters of the North Atlantic basin and the 80s to lower values, associated with cooler waters of this basin. By analyzing the Mann-kendall and Sen estimator test, there was a trend of increasing the seasonal reference evapotranspiration (fall, winter and spring) on the order of 0.11 mm per decade and that from the years of 1990, 1996 and 2001 became statistically significant to the localities of Cruzeiro do Sul Tarauacá and Rio Branco, respectively. For trend analysis of meteorological parameters was observed positive trend in the 5% level of significance, for average temperature, minimum temperature and solar radiation.
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A statistical comparison of standing stock density estimates (Kg/hectare) from 26 UNDP/FAO 1%9 thru 70 and 63 EAFFRO 1976 bottom trawl surveys revealed the following; 1) Statistically significant differences between mean density values at 4 of 7 depths {4-9 to 30-39 m}. 2) The 1969 thru 70 UNDP/FAO Values were higher at the 4 levels. 3) No statistically significant menn density value differences at 3 depths (40-49 to 60-69 m), but decreased values for the 1976 EAFFRO survey at 40-49 and 50-59 m depth. It was concluded from these comparisons that no capital investment should be made into a trawler industry for fish meal production in the Kenya waters of Lake Victoria until further bottom trawl surveys can be conducted to either substantiate or disapprove these differences over the six year time span.
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Relatório de estágio apresentado à Escola Superior de Educação de Paula Frassinetti para a obtenção de grau de mestre em educação pré-escolar e ensino do 1º ciclo do ensino básico
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É cada vez mais frequente o diagnóstico de quisto do ovário pelo uso crescente de exames radiológicos. É essencial a distinção entre quisto simples e quisto complexo, pois a sua abordagem é diferente, sendo o algoritmo de abordagem adaptado à mulher pré- ou pós-menopáusica [1]. A recomendação inicial a seguir varia em função do tamanho da lesão e do valor do CA 125.