Um aspecto importante a ser apontado no presente trabalho é o fato de se ter acompanhado de um modo ininterrupto, durante 10 dias, as anomalias nas distribuições das propriedades físicas da água do mar. Os resultados experimentais obtidos na região costeira a oeste de Cabo Frio durante este período mostraram a preponderância dos processos advectivos e difuzivos que alteram a distribuição da temperatura e da salinidade na superfície do mar. Essa anomalia pode ser indicada por nuvens do tipo cúmulos formada por convecção penetrante, fato verificável pela comparação dos dados térmicos de superfície com fotografias obtidas pelo satélite ERTS. / Temperature and salinity variations between Guanabara Bay and Cabo Frio (17/8 a 26/8/1971).

Resultados da reanálise SODA v2.2.6 (Carton, Giese, 2008) e da Renálise do Século 20 v2 (Compo, et al., 2011) foram analisados para verificar alterações dos modos de variabilidade da TSM (o modo do Gradiente Meridional de Temperatura (GMT) e o Modo Zonal) no Atlântico Tropical (de 1929 a 2008) através de funções empíricas ortogonais (EOF) e funções empíricas ortogonais associadas (jEOF). A evolução do padrão espacial do modo do GMT se inicia com a configuração de dipolo de temperatura, com eixo central em ≈ 5ºN evoluindo para o GMT com variabilidade concentrada no Atlântico Tropical Norte. O Modo Zonal apresenta inicialmente variabilidade associada à região equatorial (entre 5ºS e 5ºN) e à costa sudoeste africana, que evolui para um gradiente meridional de TSM, centrado em ≈ 5ºN. Sua variabilidade concentra-se exclusivamente no Atlântico Tropical Sul. A variabilidade equatorial se degenera ao longo do período, devido ao aumento, gerado pelo vento, da profundidade das isopicnais na termoclina. No equador o acoplamento entre o oceano e a atmosfera ocorre nos períodos de T = 30 meses e T ≈ 34 meses, com o vento antecedendo a temperatura em 1 e 2 meses, respectivamente. O Modo Zonal apresenta acoplamento com o vento durante a segunda metade das análises. O período associado é de T ≈ 34 meses, com o vento antecedendo a temperatura em cerca de 1 mês. O modo do GMT está associado aos ventos no Atlântico Tropical Norte e Atlântico Tropical Sul. Os períodos de acoplamento são de T = 96 e T = 60 meses, com o vento antecedendo a TSM em 3 e ≈ 2 meses respectivamente. / The results of SODA v2.2.6 reanalysis (Carton, Giese, 2008) and 20th Century Reanalysis v2 Project (Compo, et al., 2011) were analyzed in order to verify changes of the SST modes (the Meridional Temperature Gradient mode (GMT) and the Zonal Mode) in the Tropical Atlantic (1929 to 2008) using Empirical Orthogonal Functions (EOF) and joint Empirical Orthogonal Functions (jEOF). The spatial distribution of GMT starts initially as a temperature dipole centred at ≈ 5ºN. It evolves into a meridional gradient with variability concentrated at the Tropical North Atlantic. The zonal mode variability is initially associated with the equatorial region (between 5ºS and 5ºN) and with the northwestern african coast. It evolves into a merdional gradient with central axis located at 5ºN. Its variability is concentrated exclusively in the Tropical South Atlantic. The equatorial variability degenerates throughout the period, due to the inhibition of the isopicnal uplift by the wind. At the equator, the coupling occurs in periods of T = 30 months and T ≈ 34 months, with the wind preceding the TSM by 1 and 2 months, respectively. The zonal mode presents coupling with the wind only during the second half of the analysis. The periods are of T = 34 months, with wind preciding TSM by about 1 month. GMT mode is associated to the winds of both Tropical North Atlantic and Tropical South Atlantic. Coupling periods are of T = 96 and T = 60 months, with the wind preceding TSM in 3 and ≈ 2 months respectively.

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No. of bitstreams: 2 Dissertação - Rodrigo Moura Pereira - 2015.pdf: 1322504 bytes, checksum: 556731a5041f0e932f32f21043aecae6 (MD5) license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Previous issue date: 2015-06-03 / Conselho Nacional de Pesquisa e Desenvolvimento Científico e Tecnológico - CNPq / Spectral information obtained by satellite imagery is well related to agronomic variables and can be used to monitor sugarcane growth and their responses to changes in environmental conditions of cultivation in large areas. This study is aimed to establish relationships between orbital data in the spectral ranges of the thermal and active photosynthetic radiation of Landsat-8 satellite with data observed with the leaf area index field (LAI), plant height, number of green leaves, and leaf temperature in plots planted with sugarcane, CTC-04 genotype, in a production cycle in sugarcane plant stage in Santo Antônio de Goiás-GO in the 2013/14 crop year. The first study aimed to calibrate a model to measure the temporal variation of the sugarcane LAI from the Normalized Difference Vegetation Index (NDVI) obtained from satellite Landsat 8’s surface reflectance images. It was conducted and the correlation between the LAI collected in the field and the NDVI with and without application of atmospheric correction. The corrected model showed the best relationship with field data. The application of the spectral model was efficient to monitor LAI over a sugarcane plant cycle. The results suggest that the NDVI-LAI relationship may vary during the production cycle of sugarcane due to variations in growth, development, and environmental conditions. Spectral variable NDVI with atmospheric correction was highly correlated (R² = 0,83) with LAI but the relationship proved to be affected by the NDVI saturation point at high values of LAI observed in the field. The second study aimed to evaluate the applicability of surface temperature (LST) obtained from the thermal bands of the Landsat-8 in correlation with the leaf temperature of sugarcane, to establish relationships able to detect water stress remotely through the images, in the occurrence period of drought throughout the year production in rain fed crop in the Cerrado region. The results showed that LST, despite having low direct association with the leaf temperature, has the potential of monitoring water stress in sugarcane within the Cerrado region, since the simulation of the difference between LST and the air temperature accompanies the spread between the leaf temperature and the air, the dynamics of soil water balance and changes in crop growth rates that occur in response to water stress. / A informação espectral obtida a partir de imagens de satélite possui boa relação com variáveis agronômicas e pode contribuir com informações para o monitoramento do crescimento e de suas respostas em relação a variações das condições ambientais de cultivo em grandes áreas. Dessa forma objetivou-se estabelecer relações entre os dados orbitais nas faixas espectrais da radiação fotossinteticamente ativa e termal do satélite Landsat-8 com dados observados em campo de índice de área foliar (IAF), altura de plantas, número de folhas verdes e temperatura foliar em talhões cultivados com cana-de-açúcar, variedade CTC-04, em um ciclo de produção no estágio de cana-planta no município de Santo Antônio de Goiás-GO na safra 2013/14. O primeiro estudo teve como objetivo calibrar um modelo para medir a variação temporal do IAF da cana-de-açúcar a partir do Índice de Vegetação por Diferença Normalizada (NDVI) obtido a partir de imagens de reflectância de superfície do satélite Landsat 8. Foi realizada a correlação entre o IAF coletado em campo e o NDVI com e sem aplicação de correção atmosférica. O modelo corrigido apresentou a melhor relação com os dados de campo. A aplicação do modelo IAF espectral foi eficiente no acompanhamento do IAF ao longo de um ciclo de cana-planta. Os resultados sugerem que a relação NDVI-IAF pode variar durante o ciclo de produção da cana-de-açúcar em função das variações de crescimento e desenvolvimento, e condições ambientais. As relações lineares se mostraram fortes durante a fase de produção e senescência das folhas (R² = 0,83), entretanto a relação mostrou-se afetada pelo ponto de saturação do NDVI em valores altos de IAF observados em campo. O segundo estudo teve como objetivo avaliar a aplicabilidade da temperatura de superfície (LST) obtida a partir das bandas termais do Landsat-8 na correlação com a temperatura foliar da cultura, com o intuito de estabelecer relações capazes de detectar remotamente por meio de imagens, o estresse hídrico no período de ocorrência do déficit hídrico ao longo do ano de produção em cultivo de sequeiro na região do Cerrado. Os resultados mostraram que a LST, apesar de ter apresentado baixa associação direta com a temperatura foliar, possui potencial no monitoramento do eventual estresse hídrico na cana-de-açúcar na região do Cerrado, uma vez que a simulação do diferencial entre a LST e a temperatura do ar acompanha o diferencial entre a temperatura foliar e a do ar, a dinâmica do balanço de água do solo e as alterações nas taxas de crescimento da cultura que ocorrem em resposta à deficiência hídrica.

Soil attributes directly influence on its surface temperature. Although there are several studies using soil spectra obtained from satellites, soil evaluation through Land Surface Temperature (LST) is still scarce. The broad availability of satellite thermal data and the development of algorithms to retrieve LST facilitated its use in soil studies. The objective of this study was to evaluate soil LST variations due to its composition and verify the potential of using LST on soil attributes quantification, also integrated with reflectance spectra and elevation data. The study area (198 ha) is located in Sao Paulo state, Brazil, and had plowed bare soil during the satellite image acquisition date. Soil samples were collected in a regular grid of 100 x 100 m (depths: 0-0.2 m and 0.8- 1.0 m); soil granulometry, organic matter (OM) and iron oxides were determined by wet chemistry analysis. In this study, an image of Landsat 5 was used for extracting LST using the inversion of Planck\'s function in band 6 (10,400 - 12,500 nm), and land surface emissivity was estimated using Normalized Difference Vegetation Index threshold method. Reflectance values were extracted from bands 1, 2, 3, 4, 5 and 7. Models for soil attributes quantification were performed using Linear Regression (LR), with samples from 62 auger points distributed in 14 toposequences. Simple LR was applied for generating prediction models based on LST and on elevation data (extracted from a Digital Elevation Model). Multiple LR was applied in order to generate prediction models using atmospherically corrected spectral reflectance from Visible, Near-Infrared and Shortwave infrared (Vis-NIR-SWIR) bands as predictors, and also for the prediction of soil attributes using simultaneously Vis-NIR-SWIR, LST and elevation data, and only significant variables identified by T-tests were used. Predictive performance of models was assessed based on adjusted coefficient of determination (R2adj), Root Mean Squared Error (RMSE, g kg-1) and Ratio of Performance to Interquartile Range (RPIQ) obtained in validation. Ordinary kriging was also performed and the resulted interpolated surfaces were compared to the maps obtained from the best LR model. There was significant correlation between soil attributes and reflectance, LST and elevation data, and soils with clay texture were differentiated from sandy soils based on LST mean values. For all soil attributes, models using only elevation presented the worst performance; models using only LST, moderate performance; and using Vis-NIR-SWIR bands, good predictive performance. For clay, the best model obtained had bands 4-7, LST and elevation as predictors; for sand and iron oxides, the best model had bands 4-7 and LST; for OM, band 4, band 7 and LST. The use of LST for estimating soil attributes increases the predictive performance of multiple LR models when associated with other variables obtained through remote sensing, particularly surface reflectance data, improving the validation of models reaching high R2adj, high RPIQ and low RMSE values. Maps for sand, OM and iron oxides obtained through ordinary kriging outperformed those obtained for the same attributes using LR models based on RS co-variables, and for clay, both approaches reached the same accuracy level. Mapping of soil clay, sand, OM and iron oxides contents through multiple LR models using Landsat 5 products is a simple and easy to reproduce technique, appropriate for soil attributes mapping in bare soil agricultural areas. / Os atributos do solo influenciam diretamente na sua temperatura de superfície. Apesar de existir vários estudos utilizando espectros de solos obtidos de satélite, a avaliação do solo por meio da Temperatura de Superfície Terrestre (em inglês Land Surface Temperature, LST) ainda é escassa. A ampla disponibilidade de dados termais de satélite e o desenvolvimento de algoritmos para derivar a LST facilitou o seu uso em estudos de solos. O objetivo desse trabalho foi avaliar variações da LST do solo devidas à sua composição e verificar o potencial de uso da LST na quantificação de atributos do solo, também integrada com dados de espectros de reflectância e elevação. A área de estudo (198 ha) está localizada no estado de São Paulo, Brasil, e estava com solo exposto e arado na data de aquisição da imagem de satélite. Amostras de solo foram coletadas em um grid regular de 100 x 100 m (profundidades: 0.02 m e 0.8-1.0 m); a granulometria do solo, matéria orgânica (MO) e óxidos de ferro foram determinados via análises físicas e químicas laboratoriais. Neste estudo, uma imagem do Landsat 5 foi utilizada para extrair a temperatura de superfície usando a inversão da função da Lei de Planck na banda 6 (10.400 - 12.500 nm), e a emissividade de superfície foi estimada utilizando o método do limiar do Índice de Vegetação da Diferença Normalizada. Valores de reflectância das bandas 1, 2, 3, 4, 5 e 7 foram extraídos. Modelos para quantificação de atributos do solo foram feitos usando Regressão Linear (RL), com amostras de 62 pontos de tradagem distribuídos em 14 topossequências. A RL simples foi aplicada para gerar modelos de predição baseados na LST e também na elevação (extraída de um modelo digital de elevação). A RL múltipla foi aplicada para gerar modelos de predição usando os espectros de reflectância com correção atmosférica das bandas do Visível, Infravermelho próximo e Infravermelho de ondas curtas (Vis-NIR-SWIR) como preditores; também foi aplicada para predição de atributos do solo usando simultaneamente dados do Vis-NIR-SWIR, LST e elevação, e apenas variáveis significativas identificadas por teste T foram usadas. A performance preditiva dos modelos foi avaliada baseada no coeficiente de determinação ajustado (R2adj), raiz do erro quadrático médio (RMSE, g kg-1) e razão de desempenho do intervalo interquartil (RPIQ) obtidos na validação. A krigagem ordinária também foi feita e as superfícies interpoladas resultantes foram comparadas com o melhor modelo de RL. Houve correlação significativa entre os atributos do solo e dados de reflectância, LST e elevação, e solos com textura argilosa foram diferenciados de solos arenosos com base em valores médios de LST. Para todos os atributos do solo, os modelos usando apenas elevação apresentaram a pior performance, modelos usando somente LST, performance moderada, e usando as bandas do Vis-NIR-SWIR, boa performance preditiva. Para argila, o melhor modelo obtido teve as bandas 4-7, LST e elevação como preditores; para areia e óxidos de ferro, o melhor modelo teve as bandas 4-7 e LST; para MO, banda 4, banda 7 e LST. O uso da LST para estimar atributos do solo aumenta a performance preditiva de modelos de RL múltipla quando associada a outras variáveis obtidas via sensoriamento remoto (SR), particularmente dados de reflectância de superfície, melhorando a validação dos modelos atingindo altos valores de R2adj e RPIQ e baixos valores de RMSE. Os mapas para areia, MO e óxidos de ferro obtidos via krigagem ordinária superaram aqueles obtidos para os mesmos atributos usando modelos de RL baseados em co-variáveis obtidas via SR, e para argila, ambas abordagens atingiram o mesmo nível de acurácia. O mapeamento dos conteúdos de argila, areia, matéria orgânica e óxidos de ferro do solo via modelos de RL múltipla utilizando produtos do Landsat 5 é uma técnica simples e fácil de reproduzir, apropriada para o mapeamento de atributos do solo em áreas de agricultura com solo exposto.

Eight rodent species with fossorial activity differing in a number of characteristics such as ecology, climatic conditions, geographical distribution, or kinship were studied using infrared thermography in order to describe their surface temperature and its patterns. An attempt to describe the relation between surface temperature and varied social organisation in burrowing rodents was made.

Temperature characteristics of surface using remote sensing methods Abstract The aim of this thesis is to design a methodology for refining the land surface temperature values obtained from Landsat 8 satellite data in areas with diverse land cover. The research section describes factors influencing the radiation of the Earth's surface. Also mentioned are current methods used for processing infrared thermal data and calculate land surface temperature. The practical part describes satellite and airborne data used in the analytical and verification process. All parts of the applied method leading to the subpixel value of the land surface temperature are described in detail in the method part. The results are then compared with airborne verification data with better spatial resolution and with currently used methods. Finally, the pros and cons of this method and its possible improvement in the future are mentioned. Key words: land surface temperature, land surface emissivity, satellite data, Landsat 8, airborne data, subpixel method, Czech Republic

Previous studies showed that sea surface salinity (SSS) in the Florida Straits as well as Florida Current transport covaried with changes in North Atlantic climate over the past two millennia. However, little is known about earlier Holocene variability in the Florida Straits. Here, we combine Mg/Ca-paleothermometry and stable oxygen isotope measurements on the planktonic foraminifera Globigerinoides ruber (white variety) from Florida Straits sediment core KNR166-2 JPC 51 (24 degrees 24.70? N, 83 degrees 13.14?W, 198m deep) to reconstruct a high-resolution (~30 yr/sample) early to mid Holocene record of sea surface temperature and delta18OSW (a proxy for SSS) variability. We also measured Ba/Ca ratios in the same shell material as a proxy for riverine input into the Gulf of Mexico over the same time interval. After removing the influence of global delta18OSW change due to continental ice volume variability, we propose that early Holocene SSS enrichments were caused by increased evaporation/precipitation ratios in the Florida Straits associated with periods of reduced solar output, increased ice rafted debris in the North Atlantic and the development of more permanent El Nino-like conditions in the eastern equatorial Pacific. When considered with previous high-resolution reconstructions of early Holocene tropical atmospheric circulation changes, our results provide evidence that solar output variability over the Holocene had a significant impact on the global tropical hydrologic cycle over the last 10,000 years.

To effectively design systems of microchannels it is necessary for scientists and engineers to understand thermal transport characteristics of microchannels. To experimentally determine the convective heat transfer coefficient of microchannels it is necessary to measure both the bulk and surface temperature fields. This investigation aims to develop a technique, named Total Internal Reflection Fluorescent Micro-Thermometry (TIR-FMT), to measure the temperature of water within several hundred nanometers of a wall--effectively, the surface temperature of the wall. In TIR-FMT, an evanescent-wave is generated in the water near the wall. The intensity of this evanescent-wave decays exponentially with distance from the wall. A fluorophore if illuminated by the evanescent-wave can absorb a photon. Excited fluorophores subsequently emit red-shifted photons, which are called fluorescence. The probability of a fluorescent emission is temperature-dependent. Therefore, by monitoring the intensity of the fluorescence a correlation can be made to the temperature of the region of illumination. Using the TIR-FMT technique the temperature dependence of the fluorescence intensity from buffered fluorescein (pH=9.2) was determined to be 1.35%/C. TIR-FMT can be used to measure the temperature of a fluorophore solution within 600 nm of a wall across a temperature range of 12.5-55C. The average uncertainties (95% confidence) of the temperature measured was determined to be 2.3C and 1.5C for a single 1.5x1.5 and #956;m pixel and the entire 715x950 and #956;m viewfield. By spatial averaging, average uncertainties of 2.0C and 1.8C were attained with spatial resolutions of 16x16 and 100x100 and #956;m, respectively.

Deep ventilation of the Black Sea is inhibited by a sharp salinity gradient within the upper water column, resulting in a shallow anoxic interface at around 100 &ndash / 200 m depth. Understanding biological and chemical processes within the boundary region between oxic and anoxic waters is fundamental to comprehend the biogeochemical response of the Black Sea to climate forcing. The structure and depth of the chemocline is largely determined by the physical processes which transport surface waters to depth. Here we investigate how the structure and stability of the upper water column responds to changes in climatic forcing over interannual to multidecadal time-scales. We report results from two hydrodynamic model reanalysis. The first, extending from 1971-1993 assimilates CTD data. The second, extending from 1992-2001, assimilates altimetry data. Model results are validated against CTD and satellite data and consistency between modeled surface properties and observations is demonstrated. A problem with the data assimilation scheme of the 1992 -2001 model run is identified, which results in model drift and an unrealistic water column structure at intermediate depths. Model results indicate a warming trend of 0.7 &deg / C in sea surface temperature and a freshening trend of 0.4 in sea surface salinity between 1971 and 2001, with an associated increasing trend in the stability of the seasonal thermocline and a declining trend in surface mixed layer depth of 6.3 m. Trends are superimposed on a distinct multiannual variability characterized by relatively warm and saline conditions between 1971 and 1984, relatively cool and fresh conditions between 1985 and 1993 and warm and fresh conditions post-1993. The period between 1985 and 1993 corresponds to higher NAO and EA/WR index values although these indices do not exhibit a similar ~decadal scale variability. Higher frequency interannual variability in water column characteristics is related to the NAO and EA/WR atmospheric indices. Despite the cool conditions prevalent during the 1990s, the persistent freshening trend caused a reduction in the density of mixed layer waters throughout the study period. A positive feedback is proposed between increasing SSTs, reduced vertical mixing and freshening of the surface layer which further increases the stability of the upper water column. CIL characteristics typically mirrored surface temperature characteristics and varied considerably between the relatively warm period during the early part of the study and the subsequent cool period. The mean thickness and temperature of the CIL between 1971 and 1981 were ~39 m and ~7.5 &deg / C respectively, as compared to ~47 m and ~7.4 &deg / C between 1982 and 1993. Freshening of the upper water column also resulted in an increase in the stability maxima that exists at the base of the CIL, suggesting reduced ventilation of the upper water column during winter.

Climatological winds over the equatorial Indian Ocean (EqlO) are westerly most of the year. Twice a year, in April-May ("spring") and October-December ("fall"), strong, sustained westerly winds generate eastward equatorial jets in the ocean. There are several unresolved issues related to the equatorial jets. They accelerate rapidly to speeds over lms"1 when westerly wind stress increases to about 0.7 dyne cm"2 in spring and fall, but decelerate while the wind stress continues to be westerly; each jet is followed by westward flow in the upper ocean lasting a month or longer. In addition to the semi-annual cycle, the equatorial winds and currents have strong in-traseasonal fluctuations. Observations show strong 30-60 day variability of zonal flow, and suggest that there might be variability with periods shorter than 20 days in the central EqlO. Observations from moored current meter arrays along 80.5°E south of Sri Lanka showed a distinct 15 day oscillation of equatorial meridional velocity (v) and off-equatorial zonal velocity (u). Recent observations from current meter moorings at the equator in the eastern EqlO show continuous 10-20 day, or biweekly, oscillations of v. The main motivation for the present study is to understand the dynamics of intraseasonal variability in the Indian Ocean that has been documented in the observational literature. What physical processes are responsible for the peculiar behavior of the equatorial jets? What are the relative roles of wind stress and large scale ocean dynamics? Does intraseasonal variability of wind stress force intraseasonal jets? What is the structure and origin of the biweekly variability? The intraseasonal and longer timescale variability of the equatorial Indian Ocean circulation is studied using an ocean general circulation model (OGCM) and recent in Abstract ii situ observations. The OGCM simulations are validated against other available observations. In this thesis, we document the space-time structure of the variability of equatorial Indian Ocean circulation, and attempt to find answers to some of the questions raised above. The main results are based on OGCM simulations forced by high frequency reanalysis and satellite scatterometer (QuikSCAT) winds. Several model experiments with idealized winds are used to interpret the results of the simulations. In addition to the OGCM simulations, the origin of observed intraseasonal anomalies of sea surface temperature (SST) in the eastern EqlO and Bay of Bengal, and related air-sea interaction, are investigated using validated satellite data. The main findings of the thesis can be summarized as: • High frequency accurate winds are required for accurate simulation of equatorial Indian Ocean currents, which have strong variability on intraseasonal to interannual time scales. • The variability in the equatorial waveguide is mainly driven by variability of the winds; there is some intraseasonal variability near the western boundary and in the equatorial waveguide due to dynamic instability of seasonal "mean" flows. • The fall equatorial jet is generally stronger and longer lived than the spring jet; the fall jet is modulated on intraseasonal time scales. Westerly wind bursts can drive strong intraseasonal equatorial jets in the eastern EqlO during the summer monsoon. • Eastward equatorial jets create a westward zonal pressure gradient force by raising sea level, and deepening the thermocline, in the east relative to the west. The zonal pressure force relaxes via Rossby wave radiation from the eastern boundary. • The zonal pressure force exerts strong control on the evolution of zonal flow; the decel eration of the eastward jets, and the subsequent westward flow in the upper ocean in the presence of westerly wind stress, is due to the zonal pressure force. • Neither westward currents in the upper ocean nor subsurface eastward flow (the ob served spring and summer "undercurrent") requires easterly winds; they can be gener ated by equatorial adjustment due to Kelvin (Rossby) waves generated at the western (eastern) boundary. • The biweekly variability in the EqlO is associated with forced mixed Rossby-gravity (MRG) waves generated by intraseasonal variability of winds. The biweekly MRG wave in has westward and upward phase propagation, zonal wavelength of 3000-4500 km and phase speed of 4 m s"1; it is associated with deep off equatorial upwelling/downwelling. Intraseasonal SST anomalies are forced mainly by net heat flux anomalies in the central and eastern EqlO; the large northward propagating SST anomalies in summer in the Bay of Bengal are due to net heat flux anomalies associated with the monsoon active-break cycle. Coherent variability in the atmosphere and ocean suggests air-sea interaction.