991 resultados para Temperature of the sea surface


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Análisis de la información recopilada por el Instituto del Mar del Perú (IMARPE), durante el período 1960 - 2008, en el área del Pacífico sudeste comprendida entre los 3 y 18°S y desde la costa hasta los 86°W, con datos filtrados y procesados. Se obtuvo promedios por cuadrados Marsden de un grado; se elaboraron tablas y mapas patrón mensuales, estacionales y anuales, una serie de tiempo de medias mensuales para la banda costera dentro de las 60 mn, referida a tres periodos: a) 1960-1975, b) 1976-1992 y c) 1993-2008, además de una serie de promedios mensuales por cuadrados Marsden de un grado de la salinidad superficial del mar (SSM), para las zonas norte (Tumbes y Paita), central (Chimbote, Callao y Pisco), y sur (San Juan e Ilo). La SSM frente al Perú presentó promedios mensuales entre 29,47 y 35,94 ups, que varían de acuerdo a la estación del año, situación geográfica, topografía, factores meteorológicos, descargas de los ríos, etc. Los promedios mensuales patrón (multianuales) tuvieron rango de 32,92 a 35,62 ups; en verano (enero, febrero y marzo) 33,30 a 35,62 ups y en invierno (julio, agosto y setiembre) 33,96 a 35,44 ups; se registraron valores de transición en otoño (abril, mayo, junio) y primavera (octubre, noviembre y diciembre). La salinidad <34,00 ups corresponde a masas de agua de la región tropical, principalmente del golfo de Panamá (alta precipitación), en la zona costera al norte de 4°30'S. Aguas con salinidades de 34,00 - 34,80 ups se extienden por el lado costero hasta 6°S en verano, y se repliegan en invierno. Alta salinidad superficial corresponde a las aguas de la región subtropical (alta evaporación), que se presentan principalmente al sur de los 6°S con valores de 35,1 hasta 35,60 ups. Estas aguas tienen mayor aproximación a la costa durante el verano austral. En toda el área de estudio, el rango de la fluctuación anual de los promedios patrón de la SSM fue de 32,92 a 35,62 ups (± 2,70 ups en el año); con variación mensual de -0,1 a 0,1 ups al sur de 6°S; y de -0,3 a 0,3 ups al norte de 6°S, la mayor variación se da en la zona norte (Tumbes y Paita). La serie de tiempo mensual (1960 - 2008) en la franja costera (0 - 60 mn), entre los 3°S y 18°S, mostró importantes fluctuaciones decadales, destacando salinidad relativamente baja en los años 60 y después de El Niño (EN) 1997 - 98 hasta la actualidad.

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The atmospheric response to the evolution of the global sea surface temperatures from 1979 to 1992 is studied using the Max-Planck-Institut 19 level atmospheric general circulation model, ECHAM3 at T 42 resolution. Five separate 14-year integrations are performed and results are presented for each individual realization and for the ensemble-averaged response. The results are compared to a 30-year control integration using a climate monthly mean state of the sea surface temperatures and to analysis data. It is found that the ECHAM3 model, by and large, does reproduce the observed response pattern to El Nin˜o and La Nin˜a. During the El Nin˜ o events, the subtropical jet streams in both hemispheres are intensified and displaced equatorward, and there is a tendency towards weak upper easterlies over the equator. The Southern Oscillation is a very stable feature of the integrations and is accurately reproduced in all experiments. The inter-annual variability at middle- and high-latitudes, on the other hand, is strongly dominated by chaotic dynamics, and the tropical SST forcing only modulates the atmospheric circulation. The potential predictability of the model is investigated for six different regions. Signal to noise ratio is large in most parts of the tropical belt, of medium strength in the western hemisphere and generally small over the European area. The ENSO signal is most pronounced during the boreal spring. A particularly strong signal in the precipitation field in the extratropics during spring can be found over the southern United States. Western Canada is normally warmer during the warm ENSO phase, while northern Europe is warmer than normal during the ENSO cold phase. The reason is advection of warm air due to a more intense Pacific low than normal during the warm ENSO phase and a more intense Icelandic low than normal during the cold ENSO phase, respectively.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Utilizaram-se 45 fêmeas ovinas adultas (15 Hampshire Down [HD], 15 Texel [TE] e 15 Ile de France [IF]), para propor um zoneamento bioclimático da ovinocultura no Estado do Paraná. Mediram-se a temperatura retal (Tr), da epiderme (Te), do interior do velo (Tiv) e da superfície do velo (Tsv); a frequência respiratória (Fr); a temperatura do ar (Ta), pressão de vapor (e), velocidade do vento (v) e carga térmica radiante (CTR). O Índice de Conforto Térmico utilizado foi ICT= 0,6678Ta + 0,4969e + 0,5444Tg + 0,1038v. A regressão do ICT sobre Tr mostrou efeito quadrático para as três raças. Para ICT=24,3, 27,3 e 20,6, os valores de Tr foram respectivamente: 39,10ºC para a raça HD, 39,05ºC para TE e 39,09ºC para IF, atingindo 40,40; 40,50; e 40,28ºC, respectivamente, para ICT=58. As três raças aumentaram sua Tr a partir de ICT=26, com a TE apresentando menor Tr até o valor ICT=46; neste ponto, as três raças foram semelhantes, tendo a TE apresentado maiores valores. Para ICT igual a 27,6; 29,7; e 27,0, os valores de Fr foram, respectivamente, 89,63; 77,08; e 78,77 resp./min., para as raças HD, TE e IF. A raça TE apresentou menor Fr (77,08 resp./min.), para ICT=29,7 e para ICT=48, valores semelhantes aos da IF (181,96 resp./min.); a partir deste índice, passou a ser maior que as demais raças, atingindo valores de 288,66 resp./min. no ICT=56, porém inferior à HD (289,01 resp./min.). Neste índice, a raça IF foi a que apresentou a menor Fr (275,72 resp./min.). Uma extensa faixa ao longo do litoral do Estado, entrando cerca de 200 km para o interior até os limites das cidades de Castro, Telêmaco Borba, Laranjeiras do Sul e Pato Branco, permite a criação das três raças, sem exigir grandes esforços de termorregulação.

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En este trabajo se presentan algunos resultados obtenidos del análisis de la variabilidad de la altura de la superficie del mar a partir de las anomalías del nivel del mar proporcionadas por los datos del altímetro a bordo del satélite ERS-2. La finalidad del estudio has sido la determinación de la variación estacional que las estructuras oceanográficas mesoescalares presentan en las proximidades del archipiélago canario durante el año 1998. En esta zona, caracterizada por la generación de remolinos ciclónicos y anticiclónicos al sur de las islas debida a la perturbación que experimenta la corriente de Canarias a su paso por los canales entre las islas, y por los filamentos de agua fría procedente del afloramiento, el altímetro se muestra como una herramienta importante en la detección y posterior análisis de estas estructuras oceanográficas. Los resultados muestran que la variabilidad espacial y temporal del nivel del mar es máxima en el segundo semestre del año, y ésta se centra, fundamentalmente, en una estrecha banda situada al sudoeste del archipiélago. ABSTRACT: Some results obtained from the analysis of the sea surface height variability using sea level anomalies given by ERS-2 altimeter data are shown in this work. The aim of the study is to work out the seasonal variations of the mesoscale oceanographic features that appear in the vicinity of the Canary Archipelago during 1998 year. This area is characterized by cyclonic and anticyclonic eddies southward of the islands, which are generated by the interference suffered by the Canary Current through the canals between the islands, and also owing to cold water filaments coming from the Upwelling. The altimeter demonstrates to be an important tool in the detection and posterior analysis of these features. The results show that the temporal and spatial variability of the sea level is associated, fundamentally, to a narrow band located to the southwest of the archipelago, and which has been clearly seen with greater intensity during the periods of summer and autumn of 1998.

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Measurements of the sea surface obtained by satellite borne radar altimetry are irregularly spaced and contaminated with various modelling and correction errors. The largest source of uncertainty for low Earth orbiting satellites such as ERS-1 and Geosat may be attributed to orbital modelling errors. The empirical correction of such errors is investigated by examination of single and dual satellite crossovers, with a view to identifying the extent of any signal aliasing: either by removal of long wavelength ocean signals or introduction of additional error signals. From these studies, it was concluded that sinusoidal approximation of the dominant one cycle per revolution orbit error over arc lengths of 11,500 km did not remove a significant mesoscale ocean signal. The use of TOPEX/Poseidon dual crossovers with ERS-1 was shown to substantially improve the radial accuracy of ERS-1, except for some absorption of small TOPEX/Poseidon errors. The extraction of marine geoid information is of great interest to the oceanographic community and was the subject of the second half of this thesis. Firstly through determination of regional mean sea surfaces using Geosat data, it was demonstrated that a dataset with 70cm orbit error contamination could produce a marine geoid map which compares to better than 12cm with an accurate regional high resolution gravimetric geoid. This study was then developed into Optimal Fourier Transform Interpolation, a technique capable of analysing complete altimeter datasets for the determination of consistent global high resolution geoid maps. This method exploits the regular nature of ascending and descending data subsets thus making possible the application of fast Fourier transform algorithms. Quantitative assessment of this method was limited by the lack of global ground truth gravity data, but qualitative results indicate good signal recovery from a single 35-day cycle.

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We present a comparative analysis of satellite derived climatologies in the Cape Verde region (CV). In order to establish chlorophyll a variability, in relation to other oceanographic phenomena, a set of, relatively long (from five to eight years), time series of chlorophyll a, sea surface temperature, wind and geostrophic currents, were ensembled for the Eastern Central Atlantic (ECA). We studied seasonal and inter-annual variability of phytoplankton concentration, in relation to the rest of the variables, with a special focus in CV. We compared the situation within the archipelago with those of the surrounding marine environments, such as the North West African Upwelling (NWAU), North Atlantic Subtropical Gyre (NASTG), North Equatorial Counter Current (NECC) and Guinea Dome (GD). At the seasonal scale, CV region behaves partly as the surrounding areas, nevertheless, some autochthonous features were also found. The maximum peak of the pigment having a positive correlation with temperature is found at the end of the year for all the points in the archipelago; a less remarkable rise with negative correlation is also detected in February for points CV2 and CV4. This is behavior that none of the surrounding environments have shown. This enrichment was found to be preceded by a drastic drop in wind intensity (SW Monsoon) during summer months. The inter-annual analysis shows a tendency for decreasing of the chlorophyll a concentration.

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We present a comparative analysis of satellite derived climatologies in the Cape Verde region (CV). In order to establish chlorophyll a variability, in relation to other oceanographic phenomena, a set of, relatively long (from five to eight years), time series of chlorophyll a, sea surface temperature, wind and geostrophic currents, were ensembled for the Eastern Central Atlantic (ECA). We studied seasonal and inter-annual variability of phytoplankton concentration, in relation to the rest of the variables, with a special focus in CV. We compared the situation within the archipelago with those of the surrounding marine environments, such as the North West African Upwelling (NWAU), North Atlantic Subtropical Gyre (NASTG), North Equatorial Counter Current (NECC) and Guinea Dome (GD). At the seasonal scale, CV region behaves partly as the surrounding areas, nevertheless, some autochthonous features were also found. The maximum peak of the pigment having a positive correlation with temperature is found at the end of the year for all the points in the archipelago; a less remarkable rise with negative correlation is also detected in February for points CV2 and CV4. This is behavior that none of the surrounding environments have shown. This enrichment was found to be preceded by a drastic drop in wind intensity (SW Monsoon) during summer months. The inter-annual analysis shows a tendency for decreasing of the chlorophyll a concentration.

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In this study, the processes affecting sea surface temperature variability over the 1992–98 period, encompassing the very strong 1997–98 El Niño event, are analyzed. A tropical Pacific Ocean general circulation model, forced by a combination of weekly ERS1–2 and TAO wind stresses, and climatological heat and freshwater fluxes, is first validated against observations. The model reproduces the main features of the tropical Pacific mean state, despite a weaker than observed thermal stratification, a 0.1 m s−1 too strong (weak) South Equatorial Current (North Equatorial Countercurrent), and a slight underestimate of the Equatorial Undercurrent. Good agreement is found between the model dynamic height and TOPEX/Poseidon sea level variability, with correlation/rms differences of 0.80/4.7 cm on average in the 10°N–10°S band. The model sea surface temperature variability is a bit weak, but reproduces the main features of interannual variability during the 1992–98 period. The model compares well with the TAO current variability at the equator, with correlation/rms differences of 0.81/0.23 m s−1 for surface currents. The model therefore reproduces well the observed interannual variability, with wind stress as the only interannually varying forcing. This good agreement with observations provides confidence in the comprehensive three-dimensional circulation and thermal structure of the model. A close examination of mixed layer heat balance is thus undertaken, contrasting the mean seasonal cycle of the 1993–96 period and the 1997–98 El Niño. In the eastern Pacific, cooling by exchanges with the subsurface (vertical advection, mixing, and entrainment), the atmospheric forcing, and the eddies (mainly the tropical instability waves) are the three main contributors to the heat budget. In the central–western Pacific, the zonal advection by low-frequency currents becomes the main contributor. Westerly wind bursts (in December 1996 and March and June 1997) were found to play a decisive role in the onset of the 1997–98 El Niño. They contributed to the early warming in the eastern Pacific because the downwelling Kelvin waves that they excited diminished subsurface cooling there. But it is mainly through eastward advection of the warm pool that they generated temperature anomalies in the central Pacific. The end of El Niño can be linked to the large-scale easterly anomalies that developed in the western Pacific and spread eastward, from the end of 1997 onward. In the far-western Pacific, because of the shallower than normal thermocline, these easterlies cooled the SST by vertical processes. In the central Pacific, easterlies pushed the warm pool back to the west. In the east, they led to a shallower thermocline, which ultimately allowed subsurface cooling to resume and to quickly cool the surface layer.

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The Arabian Sea is an important moisture source for Indian monsoon rainfall. The skill of climate models in simulating the monsoon and its variability varies widely, while Arabian Sea cold sea surface temperature (SST) biases are common in coupled models and may therefore influence the monsoon and its sensitivity to climate change. We examine the relationship between monsoon rainfall, moisture fluxes and Arabian Sea SST in observations and climate model simulations. Observational analysis shows strong monsoons depend on moisture fluxes across the Arabian Sea, however detecting consistent signals with contemporaneous summer SST anomalies is complicated in the observed system by air/sea coupling and large-scale induced variability such as the El Niño-Southern Oscillation feeding back onto the monsoon through development of the Somali Jet. Comparison of HadGEM3 coupled and atmosphere-only configurations suggests coupled model cold SST biases significantly reduce monsoon rainfall. Idealised atmosphere-only experiments show that the weakened monsoon can be mainly attributed to systematic Arabian Sea cold SST biases during summer and their impact on the monsoon-moisture relationship. The impact of large cold SST biases on atmospheric moisture content over the Arabian Sea, and also the subsequent reduced latent heat release over India, dominates over any enhancement in the land-sea temperature gradient and results in changes to the mean state. We hypothesize that a cold base state will result in underestimation of the impact of larger projected Arabian Sea SST changes in future climate, suggesting that Arabian Sea biases should be a clear target for model development.

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Criteria are proposed for evaluating sea surface temperature (SST) retrieved from satellite infra-red imagery: bias should be small on regional scales; sensitivity to atmospheric humidity should be small; and sensitivity of retrieved SST to surface temperature should be close to 1 K K−1. Their application is illustrated for non-linear sea surface temperature (NLSST) estimates. 233929 observations from the Advanced Very High Resolution Radiometer (AVHRR) on Metop-A are matched with in situ data and numerical weather prediction (NWP) fields. NLSST coefficients derived from these matches have regional biases from −0.5 to +0.3 K. Using radiative transfer modelling we find that a 10% increase in humidity alone can change the retrieved NLSST by between −0.5 K and +0.1 K. A 1 K increase in SST changes NLSST by <0.5 K in extreme cases. The validity of estimates of sensitivity by radiative transfer modelling is confirmed empirically.