O objetivo deste estudo foi analisar a variabilidade climática espectral da temperatura da superfície do mar, TSM, global associada a oscilações de 1-12 meses, 1-2 anos, 2-4 anos, 4-8 anos e 8-12 anos, entre1854 e 2014, e, as possíveis relações com a variabilidade climática na América do Sul. A análise espectral da TSM foi obtida com a aplicação da técnica de ondeletas a dados mensais. Em termos globais, as bacias tropicais do Pacífico Norte e Sul apresentam os sinais mais intensos da variância de TSM, em todas as faixas espectrais consideradas, e, portanto, valores mais próximos da média global para os trópicos, indicando a importância do oceano Pacífico no clima global. Nesta ordem, as bacias do Pacífico Sul, Pacífico Norte, Atlântico Norte, Indico e Atlântico Sul apresentam valores decrescente de variância da TSM. A análise da tendência linear ao longo do período considerado mostra que, globalmente, fenômenos tropicais com oscilações nas escalas de frequências mais altas, 1-12 meses, 1-2 anos e 2-4 anos, têm apresentado decréscimo de energia e que fenômenos com oscilações nas escalas de frequências mais baixas, 4-8 e 8-12 anos, têm apresentado aumento de energia, o que sugere a troca de energia entre fenômenos de alta e baixa frequência . As oscilações de 2-4 anos e de 4-8 anos na região equatorial do Pacífico são as que apresentam os maiores valores de energia, em especial nas regiões de Ninõ1+2, Niño3, Niño3.4 e Niño4. Os resultados permitem verificar que eventos fortes de El Niño sempre estiveram associados a sinais intensos da variância de TSM nas faixas espectrais de 2-4 anos e 4-8 anos e que os eventos mais fracos de El Niño estiveram associados à faixa de oscilações mais rápidas, 1-2 anos. O início do aumento do valor da variância de TSM para oscilações de 2-4 anos e 4-8 anos na região equatorial do Pacífico apresenta, em todos os casos, antecedência significativa em relação à ocorrência de um evento de El Niño forte, indicando a possibilidade de usar este sinal como preditor da ocorrência de eventos quentes de ENOS. A associação entre a variabilidade da variância espectral de TSM e a variabilidade climática na América do Sul foi verificada com base nos dados precipitação do GPCC, dados de vento das reanálises I e II do NCEP-NCAR e da reanálise do JRA-55. A análise de ondeletas da TSM tropical para a faixa de oscilações de 4-8 anos possibilitou a divisão do período todo em fases distintas: fases positivas, 1948 a 1960 e 1982 a 2003 e fases negativas, 1961 a 1981 e 2004 a 2014. Observou-se que as fases positivas e negativas apresentam um padrão bipolar da precipitação entre as regiões nordeste e sudeste da América do Sul, o que está associado a anomalias contrárias da circulação atmosférica em altos e baixos níveis sobre a região central do continente, constituindo um resultado inédito na área de climatologia. As fases positivas da variância de TSM para oscilações de 4-8 anos estão associadas a anomalias negativas e positivas de precipitação, respectivamente, sobre as regiões nordeste e sudeste da América do Sul enquanto que as fases negativas estão associadas a padrões contrários. O padrão do 4º modo da Análise de Componentes Principais aplicada aos dados de vento em 200 hPa contribui para explicar fisicamente o padrão bipolar da precipitação observado no setor leste do continente na escala decadal, por meio da propagação de ondas de baixa frequência entre o Pacífico Sul e a América do Sul. / The aim of this study is to analyze the global SST spectral climate variability for 1-12 month, 1-2 year, 2-4 year, 4-8 year, and 8-12 year oscillations, in the period from 1854 to 2014, and the possible relations with the climatic variability in South America. The spectral analysis of SST was obtained with the application of the wavelet technique to the monthly data. In global terms, the North and South Pacific basins show the most intense signs of SST variance in all the spectral ranges considered, and therefore, values closer to the global average, indicating the importance of the Pacific Ocean in the global climate. Then, in order of importance, come the basins of the South Pacific, the North Pacific, the North Atlantic, the Indian Ocean and the South Atlantic. The analysis of the linear trend throughout the period considered shows that globally within the tropical range, phenomena with oscillations in the scales of higher frequencies, 1-12 months, 1-2 years, and 2-4 years, have decreased energy and that phenomena with oscillations at lower frequency scales, 4-8 and 8-12 years, have presented increased energy through the course of time, suggesting energy exchange between high frequency phenomena and low frequency phenomena. The 2-4 year and 4-8 year oscillations in the equatorial Pacific region are those with the highest energy values, especially in the Nin1 + 2, Niño3, Niño3.4 and Niño4 regions. It is also possible to verify that strong El Niño events have always been associated with intense SST variance signals in the 2-4 year and 4-8 year spectral bands, and the weaker El Niño events were associated with the 1-2 year spectral bands. The beginning of the increase in the SST variance value for 2-4 year and 4-8 year oscillations in the equatorial region of the Pacific presents, in all cases, significant antecedence in relation to the occurrence of a strong El Niño event, indicating the possibility of using this signal as a predictor of the occurrence of hot ENSO events. The association between SST spectral variance variability and climatic variability in South America was verified based on GPCC precipitation data and wind data from NCEP-NCAR I and II reanalyses and of the JRA-55 reanalysis. The analysis of tropical SST wavelets for the 4-8 year oscillation range allowed the division of the whole period into distinct phases: positive phases, 1948 to 1960 and 1982 to 2003; and negative phases, 1961 to 1981 and 2004 to 2014. It was observed that positive and negative phases present a bipolar precipitation pattern between the Northeast and Southeast regions of the AS, which is associated with anomalies of atmospheric circulation at high and low levels over the central region of the continent, which is an unprecedented result area of climatology. The positive phases of the SST variance for 4-8 year oscillations are associated with negative and positive precipitation anomalies respectively over the northeast and southeast regions of South America while the negative phases are associated with contrary precipitation patterns. The 4th mode pattern of the Principal Component Analysis applied to wind data at 200 hPa contributes to physically explaining the bipolar pattern of precipitation observed in the eastern sector of the continent on the decadal scale by propagating low frequency waves between the South Pacific and South America.

Esta pesquisa tem como objetivo avaliar a relação existente entre o comportamento anual dos oceanos e o da vazão na Bacia do Rio São Francisco, Brasil, para o período de 1968 a 2004. Foram construídos modelos de regressão linear múltipla para simular o valor da vazão anual em Ponte da Taquara, Alto São Francisco, com base em índices climáticos e no valor médio da Temperatura da Superfície do Mar (TSM) em áreas específicas dos oceanos Pacífico e Atlântico. Os índices climáticos considerados foram a Oscilação Decadal do Pacífico (ODP), Indice de Oscilação Sul (IOS) e anomalias de TSM nas regiões de Niño. Os padrões oceânicos de correlação linear entre a TSM do Pacífico e a vazão dos postos do Alto São Francisco e o Médio São Francisco, indicam valores positivos em toda a costa oeste da América do Norte e do Sul e região equatorial e fortes sinais negativos na costa leste da Ásia e Austrália. Este padrão é bastante semelhante ao padrão espacial do primeiro modo obtido pela aplicação de análise multivariada à TSM no Oceano Pacífico, que é associado à Oscilação Multidecadal do Pacífico. A consideração de defasagem mensal no cálculo do coeficiente de correlação linear entre os valores de vazão e TSM indicam que a TSM dos meses mais próximos ao da vazão têm maior potencial para serem considerados como seus preditores. Observa-se a diminuição da correlação linear entre TSM do Pacífico e a vazão dos postos do Médio e Baixo São Francisco em relação aos postos do Alto São Francisco. O que sugere que o Oceano Pacífico apresenta maior influência na variabilidade da vazão nos postos localizados mais ao sul da Bacia do São Francisco. Por outro lado, observa-se o aumento dos valores do coeficiente de correlação linear no Atlântico Sul principalmente para a vazão dos postos do Médio e Sub-Médio, indicando possivelmente a maior influência do Oceano Atlântico na vazão de postos localizados mais a nordeste da bacia hidrográfica considerada. O padrão oceânico indicado pelos valores de correlação linear entre a TSM e os postos do Sub- Médio São Francisco indica a presença de um dipolo meridional, com anomalias negativas e positivas na bacia do Atlântico Sul tropical e subtropical. O IOS e ODP apresentam maior valor de correlação para a vazão observada no Alto e Médio São Francisco. As regiões selecionadas nos oceanos Pacífico, Atlântico e Índico e os índices Niño1+2, Niño 3 e Niño 4 para a construção do modelo linear para a simulação da vazão anual suavizada explicam 96% da variância total da vazão. No caso da vazão sem suavização as variáveis selecionadas pelo modelo elaborado explicam 52% da variância total. O padrão atmosférico anômalo associado aos dois primeiros subperíodos da vazão em Ponte da Taquara, de 1968 a 1978 e de 1979 a 1988, caracterizados em média por anomalias negativas e positivas, respectivamente, apresenta condições atmosféricas específicas às anomalias observadas da vazão. Em geral, anomalias negativas (positivas) de vazão em Ponte da Taquara são acompanhadas por ODP negativa, com anomalias negativas (positivas) de TSM no Pacífico Equatorial. / This research concerned to propose a valuation about the relationship between annual oceanic behavior and river outflow at São Francisco Hydrographic Basin, in Brazil, for the period from 1968 to 2004. Linear model based on multiple regression were built for annual river outflow at Ponte da Taquara, located at High São Francisco sub-basin. Climatic indexes and Sea Surface Temperature (SST) averages for selected areas over Pacific and Atlantic oceans were taken as independent variables in the modeling. Pacific Decadal Oscillation (PDO), Southern Oscillation Index (SOI) and SST anomalies at the Niño regions were also considered as independent variables in the modeling. The specific oceanic areas were selected through linear correlation calculation between river outflow at High São Francisco and SST. Oceanic patter represented by linear correlation between Pacific SST and river outflow at High São Francisco and Medium São Francisco shows positive values throughout the west coast of North and South America and the equatorial areas and, high negative values at oceanic areas to the east of Asia and Australia. This patter is quite similar to that obtained as the first mode of multivariate analysis applied over Pacific basin, and is related to the PDO. The consideration of temporal lag between SST river outflow monthly values showed that the smaller interval provide the best linear correlation. Linear correlation patter over Pacific is more significant for river outflow observed at the southern area of São Francisco Basin in relation to those located at northern areas. This aspect suggests that Pacific Ocean plays a more significant role to determination of river outflow observed at the south of the hydrographic basin. On the other hand, linear correlation values are greater at South Atlantic when river outflow for Sub-Medium São Francisco is considered. This result suggests that South Atlantic Ocean can play a greater role for the determination for climatic variability for river outflow observed at northern areas of São Francisco Basin. The oceanic correlation pattern for South Atlantic Ocean also shows a dipole mode, between tropical and subtropical latitudes, for fluvial stations located at the northern areas of the hydrographic basin. SOI and PDO present greater correlation values for river outflow observed at High and Medium São Francisco Basin. Ocean Pacific, Atlantic and Indian and the indexes Niño1+2, Niño 3 e Niño 4 variables, selected for the linear model elaboration to river outflow simulation, explain 96% of the total variance. In the case of not smoothed data, the variance explained by the linear model is equal to 52%. The atmospheric averaged patterns for the considered two first subperiods, from 1968 to 1978 and from 1979 to 1988, that are characterized by negative and positive river outflow anomalies at High São Francisco, present atmospheric conditions closely related to the observed river outflow anomalies. In general, river outflow negative (positive) anomalies at High São Francisco are related to negative PDO and SST negative anomalies (positive) at equatorial Pacific.

Global warming is affecting the Earth climate year by year, the biggest difference being observable in increasing temperatures in the World Ocean. Following the long- term global ocean warming trend, average sea surface temperatures across the global tropics and subtropics have increased by 0.4–1◦C in the last 40 years. These rates become even higher in semi-enclosed southern seas, such as the Red Sea, threaten- ing the survival of thermal-sensitive species. As average sea surface temperatures are projected to continue to rise, careful study of future developments of extreme temper- atures is paramount for the sustainability of marine ecosystem and biodiversity. In this thesis, we use Extreme-Value Theory to study sea surface temperature extremes from a gridded dataset comprising 16703 locations over the Red Sea. The data were provided by Operational SST and Sea Ice Analysis (OSTIA), a satellite-based data system designed for numerical weather prediction. After pre-processing the data to account for seasonality and global trends, we analyze the marginal distribution of ex- tremes, defined as observations exceeding a high spatially varying threshold, using the Generalized Pareto distribution. This model allows us to extrapolate beyond the ob- served data to compute the 100-year return levels over the entire Red Sea, confirming the increasing trend of extreme temperatures. To understand the dynamics govern- ing the dependence of extreme temperatures in the Red Sea, we propose a flexible local approach based on R-Pareto processes, which extend the univariate Generalized Pareto distribution to the spatial setting. Assuming that the sea surface temperature varies smoothly over space, we perform inference based on the gradient score method over small regional neighborhoods, in which the data are assumed to be stationary in space. This approach allows us to capture spatial non-stationarity, and to reduce the overall computational cost by taking advantage of distributed computing resources. Our results reveal an interesting extremal spatial dependence structure: in particular, from our estimated model, we conclude that significant extremal dependence prevails for distances up to about 2500 km, which roughly corresponds to the Red Sea length.

Vários estudos fornecem evidências de que os oceanos Atlântico e Pacífico desempenham papel significativo nas flutuações climáticas que ocorrem no Brasil. O objetivo desta pesquisa é avaliar a relação entre a temperatura da superfície do mar, TSM, dos oceanos Pacífico e Atlântico e a vazão de rios localizados no oeste do estado de São Paulo. Foram analisados 30 anos de dados, de 1979 a 2008. Os dados de vazão foram obtidos da Agência Nacional de Águas, os dados da temperatura da superfície do mar e radiação de onda longa emergente, do CDC/NOAA, e as variáveis climáticas (temperatura mínima, média e máxima, precipitação e umidade relativa) foram obtidos do INMET e referem-se aos dados observados na estação meteorológica da cidade de Presidente Prudente. Os resultados foram obtidos pela estimativa da correlação linear entre as séries mensais de vazão e dos dados climáticos com a temperatura da superfície do mar nos oceanos, com e sem defasagem temporal. Áreas com correlação alta e significativa foram encontradas no oceano Pacífico e Atlântico. Os padrões oceânicos obtidos para os quatro postos de vazão se assemelham entre si, sugerindo que a variabilidade climática dos postos é parecida. O padrão de ferradura no Oceano Pacífico Tropical está presente em todos os casos avaliados, assim como áreas meridionalmente adjacentes com sinais trocados no setor norte do Atlântico Norte. No Oceano Atlântico, as principais áreas de correlações linear foram encontradas no hemisfério sul, indicando valores positivos. As correlações entre a TSM e as variáveis climáticas (temperaturas, umidade relativa, precipitação e ROLE) também apresentaram correlações significativas no Pacífico Tropical, indicando o padrão de ferradura. O modelo estocástico construído para simulação da vazão trimestral, em Presidente Prudente, com base em regressão linear múltipla forneceu um ajuste com explicação da variância igual a 49%. O modelo construído considerando-se as variáveis oceânicas e continentais fornece uma explicação da variância igual a 69%. Tal resultado sugere que seja possível considerar apenas variáveis oceânicas na elaboração de um modelo prognóstico para a vazão trimestral. Os períodos com anomalias positivas de vazão estiveram associados a maior convergência (divergência) do ar em baixos (altos) níveis, à intensificação do movimento vertical ascendente e movimento vertical ascendente intensificado. / Several studies provide evidence that the Atlantic and Pacific oceans play a significant role inclimate fluctuations that occur in Brazil. The objective of this research is to evaluate the relationship between sea surface temperature, SST, on Pacific and Atlantic oceans, and the observed river outflow in the western state of Sao Paulo. We analyzed 30 years of data, from 1979 to 2008. The river outflow data were obtained from the National Water Agency, the data of sea surface temperature and emergent longwave radiation, from the CDC / NOAA, and climatic variables (minimum, mean and maximum temperature, precipitation and relative humidity) were obtained from INMET. The latter refers to observed data in the meteorological station of the city of Presidente Prudente. The results were obtained by estimating the linear correlation between monthly series of river outflow data, climate data and sea surface temperature in the oceans, with and without lag. Areas with high and significant correlations were found in the Pacific and Atlantic oceans. The ocean patterns obtained for the four river outflow stations resemble each other, suggesting that the variability of the climate stations is similar. The pattern of \"horseshoe\" in the Tropical Pacific Ocean is present in all cases investigated, as well as areas meridionally adjacent and presenting opposite signs at the northern of North Atlantic. In the Atlantic Ocean, the main areas of linear correlations were found at the southern hemisphere, indicating positive values. The correlations between SST and climatic variables (precipitation and ROLE) also presented significant correlations values on Tropical Pacific, depicting the horseshoe pattern. The stochastic model built to simulate the quarterly river outflow, in Presidente Prudente, based on multiple linear regression, provided a fit that explained 49% of river outflow variance. The built model considering oceanic and continental variables provides an explanation of 69%. This result suggests that it is possible to consider only oceanic variables in the development of prognostic models for quarterly river outflow atthe region.The periods with positive river outflow anomalies were associated with greater air convergence (divergence) at low (high) levels and intensified upward movement.

O trabalho aqui apresentado utiliza dados da fugacidade de CO2 (fCO2) coletados por onze cruzeiros oceanográficos no Oceano Atlântico Sudoeste (OAS) que fazem parte do banco de dados do SOCAT para analisar a variabilidade espacial da fCO2 e as principais variáveis relacionadas a suas variações. Foram utilizados dados do satélite AQUA para se estudar a fCO2 sobre os campos médios mensais de temperatura da superfície do mar (TSM) e concentração de clorofila. Também foram utilizados dados de reanálise para descrever os campos de vento e pressão atmosférica em superfície durante o período de cada cruzeiro. Através dos dados de vento em superfície foram calculados os campos de bombeamento de Ekman. Os resultados demonstram que a principal variável responsável pelas variações da fCO2 foi a TSM (em geral com coeficiente de correlação r>0,8) e que as distintas massas d'água na região apresentam diferentes fCO2, sendo que as massas d'água mais quentes apresentam valores mais elevados que as mais frias. As águas da Pluma do Rio da Prata apresentam uma fCO2 que chega a ser ate 1,5 vezes maior que as outras massas d'água. Descreve-se, pela primeira vez no OAS, a importância de se considerarem os padrões de vento em superfície (através do bombeamento de Ekman) e não somente os valores de TSM e concentração de clorofila para uma melhor análise da fCO2 em relação às massas d'água no OAS. / The work presented here uses CO2 fugacity data (fCO2) collected by eleven oceanographic cruises in the Southwestern Atlantic Ocean (SAO) that are part of the SOCAT database to analyze the spatial variability of the fCO2 and the main variables related to its variations. AQUA satellite data were used to study the fCO2 over the monthly averaged sea surface temperature (SST) and chlorophyll concentration fields. Reanalysis data were also used to describe the wind and surface atmospheric pressure fields during the period of each cruise. Through the surface wind data, the Ekman pumping fields were calculated. The results show that the main variable responsible for fCO2 variations was SST (in general with a correlation coefficient r> 0.8) and that the different water masses in the region present different fCO2, with the warmer water masses presenting higher values than the cold ones. The waters of the La Plata Plume present a fCO2 that is up to 1.5 times higher than the other water masses. It is described for the first time in OAS the importance of considering the surface wind patterns (through Ekman pumping) and not only the values of SST and chlorophyll concentration for a better analysis of fCO2 in relation to the water masses in the OAS.

Climate variability in the North Atlantic has been linked in part to the North Atlantic Oscillation (NAO). The NAO influences marine ecosystems in the northwestern Atlantic and the transport variability of the cold Labrador Current (LC). Understanding historic patterns and predicting future changes in LC transport require long-term and high-resolution climate records that are not available from instrumental data sets. This thesis presents the first century-scale sea surface temperature (SST)reconstructions from the Northwestern Atlantic using Mg/Ca ratios in the long-lived crustose coralline algae Clathromorphum compactum. which is characterized by a high Mg-calcite skeleton exhibiting annual growth increments. Results indicate strong correlations between interannual variations in Mg/Ca ratios and instrumental SST. The 131-year algal Mg/Ca record reveals NAO-type periodicities and evidence of past cold events and warming periods associated with basin-wide ecosystem shifts. Negative correlations between LC volume transport and algal Mg/Ca reflect the cooling influence of the LC on eastern Canadian shelf ecosystems.

Climate variability in the North Atlantic has been linked in part to the North Atlantic Oscillation (NAO). The NAO influences marine ecosystems in the northwestern Atlantic and the transport variability of the cold Labrador Current (LC). Understanding historic patterns and predicting future changes in LC transport require long-term and high-resolution climate records that are not available from instrumental data sets. This thesis presents the first century-scale sea surface temperature (SST)reconstructions from the Northwestern Atlantic using Mg/Ca ratios in the long-lived crustose coralline algae Clathromorphum compactum. which is characterized by a high Mg-calcite skeleton exhibiting annual growth increments. Results indicate strong correlations between interannual variations in Mg/Ca ratios and instrumental SST. The 131-year algal Mg/Ca record reveals NAO-type periodicities and evidence of past cold events and warming periods associated with basin-wide ecosystem shifts. Negative correlations between LC volume transport and algal Mg/Ca reflect the cooling influence of the LC on eastern Canadian shelf ecosystems.

In shallow water environments, sound propagation experiences multiple interactions with the surface/bottom interfaces, with hydrodynamic disturbances such as internal waves, and with tides and fronts. It is thus very difficult to make satisfactory predictions of sound propagation in shallow water. Given that many of the ocean characteristics can be modeled as stochastic processes, the statistical measure, spatial coherence, is consequently an important quantity. Spatial coherence provides valuable information for array performance predictions. However, for the case of long-range, low frequency propagation, studies of spatial coherence influenced by various environmental parameters are limited insofar as having the appropriate environmental data with which to model and interpret the results. The comprehensive Asian Seas International Experiment 2001 (ASIAEX01) examined acoustic propagation and scattering in shallow water. Environmental oceanographic data were taken simultaneously with the acoustic data. ASIAEX01 provided a unique data set which enabled separate study of the characteristics of the oceanographic features and their influence on long range sound propagation. In this thesis, the environmental descriptors considered include sediment sound speed and attenuation, background internal waves, episodic non-linear internal waves, and air-sea interface conditions. Using this environmental data, the acoustic data are analyzed to show the characteristics of spatial coherence in a shallow water waveguide. It is shown that spatial coherence can be used as an inversion parameter to extract geoacoustic information for the seabed. Environmental phenomena including internal waves and wind-generated surface waves are also studied. The spatial and temporal variations in the sound field induced by them are presented. In addition, a tank experiment is presented which simulates propagation in a shallow water waveguide over a short range. Based on the data model comparison results, the model proposed here is effective in addressing the major environmental effects on sound propagation in shallow water.

The topographical variations of the seas around Taiwan are great, which make the tides complicated. Taiwan is located in the juncture of the tropical and subtropical area. Geographically, it is located within the region of northwestern Pacific typhoon path. These seasonal and geographical situations causing Taiwan frequently threaten by typhoons during summer and autumn. In addition to natural disasters, the coastal area is over developed for the last few decades, which destroys the balance between nature and man. Storms and floods constantly threaten the lowland areas along the coast. An accurate and efficient storm surge model can be used to predict tides and storm surges. The model can be calibrated and verified with the field observations. Data measured by instruments at the tidal station constituting daily tidal variations and storm surge influences during typhoons. The model can offer both predictions to the management institutions and to the general public as pre-warning system and thus taking disaster-prevention measures. This study implements the numerical model, developed by Yu (1993) and Yu et al. (1994) to calculate the hydrodynamic in the seas around Taiwan. The main purpose of this study is to make a calibration and sensitivity analysis of the model parameters. Tidal gauge data around Taiwan coastal stations collected from June to October 2005 are used for the analysis and the comparison between the modeled data and the observations. Two steps have been taken for the model calibration and sensitivity analysis. First step is to calibrate the model for accurate prediction of the astronomical tide, and then the compound tide with meteorological influences. For the calibration of the astronomical tides, sensitivity analysis has been carried out by adjusting the horizontal diffusion coefficient and the bottom friction coefficients used in the model. The sensitivity of the time-step size used in the model and model grids fitted to coastlines are also checked. A depth dependent Chézy numbers are used in the model to describe bottom friction. The model has a better result when the Chézy value varied within 65 to 85. Modifying grids fitted to the coastline has improved the model results significantly. By improving the dynamic phenomenon brought about by the land features, the model calculation fits the real tidal phenomenon better. The analysis has shown that the model is less sensitive to the horizontal diffusion coefficient. Data from 22 tidal stations around Taiwan have been used for the comparisons. The maximum RMSE (root-mean-square error) is about 10 cm at WAi-Pu, whereas the minimum RMSE is about 1 cm for the stations along eastern coast. The calibration of the compound tide is divided into three cases. The first case is to calibrate the forecasted wind field. This has been done by comparing the forecasted wind field from the Central Weather Bureau with the satellite data obtained from QuikSCAT¡XLevel 3. The satellite wind speed has been applied to adjust the forecasted wind speed. The adjusted forecast wind field has shown improvement to the model predictions in the tidal stations south of Taichung, slightly improved in the eastern coast. The second case is tuning the drag coefficient on sea surface used by the hydrodynamic model. Several empirical formulas to describe the sea surface drag have been tested. The model result has shown little influence using various drag formulations. The third case is to single the influences by the meteo-inputs, i.e. the wind field and the atmospheric pressure. The tidal level is more sensitive to the variation of the atmospheric pressure through out the tests carried out during typhoon periods. The model simulation for 2006 using the best selected parameters has shown that the model is consisted with good stability and accuracy for both stormy and calm weather conditions.

Submitted by Lucienne Costa (lucienneferreira@ufcg.edu.br) on 2018-08-28T16:57:40Z No. of bitstreams: 1 MAISSA LUDYMILLA CARVALHO PONTES – DISSERTAÇÃO (PPGMET) 2018.pdf: 4820642 bytes, checksum: e320b4696bcf114846cc43a6004d16a1 (MD5) / Made available in DSpace on 2018-08-28T16:57:40Z (GMT). No. of bitstreams: 1 MAISSA LUDYMILLA CARVALHO PONTES – DISSERTAÇÃO (PPGMET) 2018.pdf: 4820642 bytes, checksum: e320b4696bcf114846cc43a6004d16a1 (MD5) Previous issue date: 2017-06-05 / Capes / A qualidade da estação chuvosa no Nordeste pode ser relacionada com a variabilidade que surge em decorrência do fenômeno El Niño-Oscilação Sul (ENOS) que influencia a estação chuvosa tanto pela alteração na célula de Walker quanto, por padrões de teleconexões, sendo este último responsáveis por causar variabilidades na Temperatura da superfície do Mar (TSM) no Atlântico Norte, através de padrões de trem de onda, que pode influenciar no deslocamento e tempo da permanecia da Zona de Convergência Intertropical (ZCIT) nestas latitudes. O deslocamento mais para norte da ZCIT pode ocasionar a formação de uma célula termalmente direta com seu ramo de subsidência ao sul do equador. A precipitação na estação chuvosa no Nordeste ainda pode ser influenciada pela variabilidade da TSM, pressão ao nível do mar (PNM) e vento sobre a bacia do Atlântico, influenciando também o posicionamento da ZCIT, tanto por influenciar o gradiente inter-hemisférico de TSM quanto pelo posicionamento da convergência dos alísios. Neste trabalhou buscou-se melhorar a compreensão da forma como estes mecanismos se combinam, e se há predominância entre eles. Numa etapa inicial foram analisados compostos de um conjunto de variáveis para situações de El Niño, La Niña e neutralidade no Pacífico, com o intuito de investigar os principais mecanismos controlador da variabilidade do Atlântico nesses diferentes casos. Mostrando assim, que nas fases positiva e negativa do ENOS a grande variabilidade nos extratrópicos se sobressai sobre as pequenas variações na região tropical e que as anomalias de fluxo de calor são influenciadas pelo o mecanismo de retroalimentação positiva, para condições de neutralidade a variabilidade nos trópicos parece ser mais notada e a variação do fluxo de calor ocorre pela variação da temperatura na interface oceano-atmosfera. Tais resultados foram seguidos por analises de alguns estudos de casos, para isto, foram analisados anos específicos com relação às anomalias nas células de Hadley, Walker, fluxos de calor, TSM, pressão ao nível (PNM), vento e precipitação mostrando que os efeitos das teleconexões do ENOS são influenciados de maneiras diferentes dependendo da intensidade do fenômeno. Para os anos estudados um dos principais mecanismos de variabilidade para a TSM na região tropical foi o mecanismo de retroalimentação positiva. Todavia, para o ano em que o gradiente inter-hemisférico foi bem defino, a variação da temperatura na interface oceano-atmosfera foi o principal forçante para as anomalias de fluxo de calor. Mostrando que o mecanismo de variabilidade mudará de ano para ano a depender das anomalias da TSM. As bacias do Atlântico Tropical Norte e Sul tendem a responderem a variabilidade com mecanismos diferentes de um ano para outro. / The quality of the rainy season in the Northeast can be related to the variability that arises in from of the phenomenon El Niño-Southern Oscillation (ENSO). That influences the rainy season by both the change in Walker's cell and by teleconnection patterns. The latter are responsible for causing variability in the sea surface temperature (SST) in the North Atlantic, by means of wave train patterns, which may influence the displacement and time of permanence of the Intertropical Convergence Zone (ITCZ) in these latitudes. This further northward shift of the ITCZ may lead to the formation of a thermally direct cell with its branch of subsidence south of the equator. Precipitation in the rainy season in the Northeast can still be influenced by the variability of SST, sea level pressure (PNM) and wind over the Atlantic basin. This variability also affects the positioning of the ZCIT, both because it influences the inter - hemispheric SST gradient and the positioning of the trade-offs. In this work was sought to improve the understanding of how these mechanisms combine, and whether there is predominance between them. In an initial stage we analyzed compounds of a set of variables for situations of El Niño, La Niña and neutral Pacific. The aim was to investigate the main mechanisms controlling the Atlantic variability in these different cases. It is possible to observe that in the positive and negative phases of the ENSO the great variability in the extratropics stands out for the small variations in the tropical region and that the anomalies of the heat flow were influenced by the positive feedback mechanism. For the neutral Pacific the variability in the tropics seemed to be more noticeable and the variation of the heat flow occurred by the temperature variation at the ocean-atmosphere interface. Some case studies were then made. That is, we analyzed specific years with respect to the anomalies in the cells of Hadley, Walker, heat flows, SST, geopotential, wind and precipitation. Thus, the effects of ENSO teleconnections are influenced in different ways depending on the intensity of the phenomenon. For the years studied, one of the main mechanisms of variability for SST in the tropical region was the positive feedback mechanism. However, for the year in which the inter-hemispher ic gradient was well defined, the temperature variation at the ocean-atmosphere interface was the main force for the heat flow anomalies. Showing that the variability mechanism will change from year to year depending on the SST anomalies. The results show that the North Atlantic and Southern Tropical Atlantic basins tend to respond to variability with different mechanisms from year to year.