No description available.

This study used Jumbo Piston Core 126, collected from the Nathaniel B. Palmer during cruise NBP10-01, to investigate environmental variability in Barilari Bay, western Antarctic Peninsula as part of the LARsen Ice Shelf System, Antarctica (LARISSA) project. A total of 107 samples were collected every 20cm from a 21.42m sediment core. Benthic foraminiferal data from Jumbo Piston Core 126 was analyzed using Principal Component (PC), Canonical Correspondence Analysis (CCA), and cluster analyses to assist in the Holocene oceanographic and climatic interpretation of Barilari Bay. The first three principal components explain 79.5% of the variance in the foraminiferal abundance data. PC1 comprises 49.6% of the variance and represents the Bulimina aculeata assemblage. PC2 and PC3 explain 16.3% and 13.6% of the variance and characterize the Fursenkoina fusiformis and Pseudobolivina antarctica assemblages, respectively. F. fusiformis assemblage represents the presence of a less saline water mass associated with ice shelf decay. The agglutinated P. antarctica assemblage is indicative of Hyper Saline Shelf Water (HSSW). TheB. aculeata assemblage is associated with Upper Circumpolar Deep Water (UCDW) (Ishman and Domack, 1994) Sediments from ~1100-950 calibrated years Before Present (cal. yr BP) are characterized by theB. aculeata assemblage, indicating the presence of UCDW. At ~950 cal. yr BP the UCDW receded coincident with glacial conditions observed during what is interpreted as the Little Ice Age. The ~950-350 cal. yr BP interval represents glacial conditions interpreted from the high PC scores of the P. antarctica assemblage and low foraminiferal abundances due to HSSW and a high sedimentation rate from glacial runoff. Intermittent pulses of UCDW are observed in the 950-350 cal. yr BP interval, expressed by the PC peaks in the B. aculeata assemblage. Between ~300 and 100 cal. yr BP the middle of the fjord was dominated by the F. fusiformis assemblage, suggesting ice shelf decay and open marine conditions. At ~50 cal. yr BP UCDW progressed back into Barilari Bay and is currently the dominant water mass.

No description available.

La structure de taille et la distribution spatiale du zooplancton ont été étudiées dans deux écosystèmes : une baie de la côte Ouest de la péninsule antarctique et le golfe du Lion en mer méditerranée occidentale. L'acquisition des spectres a été permise par l'utilisation de deux capteurs optiques : le ZooScan / ZooProcess et le Laser Optical Plankton Counter (LOPC). L'impact de différents types de forçages sur les spectres de taille des communautés zooplanctoniques a été mis en évidence dans les deux écosystèmes côtiers, notamment grâce aux caractéristiques des spectres de biomasse normalisée. Le long de la péninsule Antarctique, la fin de l'automne est une période charnière à tous les niveaux trophiques avec la baisse de la production primaire et l'agrégation du krill (Euphausia superba) dans les baies continentales. Les données ADCP ont permis de localiser dans une des baies le plus grand banc de krill échantillonné depuis 20 ans. L'étude du comportement alimentaire du krill en réponse à la baisse de la production primaire a montré l'impact du krill sur les spectres de taille des communautés mésozooplanctoniques, et en particulier sur les espèces de petites tailles. Un autre type de forçage a été mis en avant dans le golfe du Lion, où les structures physiques très variables induites par les apports du Rhône, le courant Liguro-Provençal et les vents influent directement sur la distribution spatiale du zooplancton. Des sous-régions ont été identifiées à partir de corrélations entre des paramètres physiques tels que la stratification de la colonne d'eau et des paramètres biologiques tels que la concentration en chl-a ou la pente des spectres de biomasse normalisée. / Zooplankton size structure and spatial distribution were investigated in a bay along the West Antarctic Peninsula (WAP) and in the Gulf of Lion in Western Mediterranean Sea. Zooplankton size spectra were determined with the use of two optical sensors, the Laser Optical Plankton Counter (LOPC) and the ZooScan / ZooProcess system. Using features of the biomass size spectrum is was possible to identify different forcing processes that affected zooplankton size spectrum and spatial distribution in the two ecosystems. In WAP, late fall is a transition time at all the trophic levels, with the decrease of primary production and the aggregation of Antarctic krill (Euphausia Superba) in continental bays. ADCP data permitted to find in a bay the largest Antarctic krill swarm reported in the last twenty years. Study of krill feeding behavior in response to the decrease of primary production showed impact of krill on mesozooplankton size spectrum and especially a decrease of the small size species abundance. A different type of forcing was found in the Gulf of Lion, where zooplankton spatial distribution was affected by physical structures such as the inputs by the Rhône river, the Liguro-Provençal current and winds. The correlation between physical and biological parameters e.g. water masses stratification, chl-a concentration, slope of the normalized biomass size spectrum (NBSS), allowed the identification of three different regions in the Gulf of Lion. These potential habitats show different zooplankton size structure, with strong NBSS slopes close to the coast and weaker NBSS slopes in the zone of the Rhône plume influence.

I use time-constrained sediment volumes delivered by glaciers calving into Marinelli Fjord (55°S), an outlet glacier of the Cordillera Darwin Ice Cap, Southern Patagonia, to determine erosion rates across different timescales. These results indicate that modern sediment yields and erosion rates from temperate tidewater glaciers can exceed long-term values over the time of deglaciation after the LGM (centennial and millennial time scales) by up to two orders of magnitude. In northern Patagonia (Gualas glacier area, 46.5°S), an overall increase in sediment production in the late Holocene is interpreted as result of a sharp increase in centennial timescale precipitation (intensified westerly winds). Erosion rates values span two orders of magnitude from 0.03 mm/yr for Lapeyrere Bay at Anver Island (~64.5°S), up to 1.09 mm/yr for San Rafael glacier at northern Patagonia (~46.5°S). Rates from the Antarctic Peninsula glaciers are in general lower than the temperate Patagonian glaciers. A good correlation of erosion rates and modern (estimated sea level annual 1970 temperature) sea level annual temperature was found. Latitudinal decrease of millenial is interpreted as result of decreasing annual temperature although decreasing in annual precipitation is suggested. The pattern of thermochronology ages from other studies (Thompson et al., 2010; Guenthner et al., 2010), along with the values of 10 3 and 10 6 years timescales erosion rates from this study, indicate that long-term glacial erosion decreases significantly its efficiency with latitude, implying that long-term glacial cover acts as a protective blanket, hindering erosion and allowing mountain growth. We conclude that the pattern of erosion rate decrease with timescale reflects the sensitivity of glaciers to climate variability. Temperate glaciers have higher sensitivity and greater response amplitude to climatic stress than subpolar or polar glaciers. This results in a decrease in erosion rates (sediment production) with latitude, and also in a decrease of erosion rate gradients with timescale.

Marine productivity along the western Antarctic Peninsula (WAP) is declining. The WAP is site of the fastest regional warming in the southern hemisphere, and has experienced atmospheric and oceanic temperature increases leading to increased glacial inputs and reduced winter sea-ice cover. Sea-ice is a key link between climate and phytoplankton production, as melting sea-ice stratifies the water column and provides a source of micronutrients to surface waters. Reductions in ice cover have been accompanied by declining chlorophyll (chl; a proxy for phytoplankton biomass), and a shift to smaller cell sizes in phytoplankton communities. These reductions have implications for carbon drawdown and production available to higher trophic levels. However, little is known about phytoplankton shifts at the community level, as existing studies are based on satellite records and photosynthetic pigment analyses. To elucidate the nature of the changes within phytoplankton assemblages, high-resolution time-series data of diatom speciation are coupled to environmental data from five years in Ryder Bay (Adelaide Island, WAP). Long-term monitoring at this site by the British Antarctic Survey has identified a strong relationship between chl and water column stratification, and this study spans a wide range of physical conditions and biological production. By comparing high- and low-chl phytoplankton assemblages, this study investigates the mechanisms underlying productivity changes and the manner in which these changes impact nutrient cycling, drawdown and trophic transfer. The results presented here are the first full season in-situ records documenting differences in phytoplankton and diatom assemblages between highand low-chl years. The primary difference between chl conditions is a dramatic decline in diatom abundance. This analysis indicates that the mechanism producing low-chl seasons is less stratified surface waters, where light levels are much more variable than in high-chl years. Overall production is reduced, and small increases are seen in biomass of prymnesiophytes, which are better adapted to variable light. These shifts in phytoplankton composition and size structure are consistent with a southward propagation of observed climate change effects. Within the diatom community, changes in seasonal succession and a decrease in species richness occurred following low winter sea-ice. As the main component of high productivity and that most efficiently transferred to higher trophic levels, variation in diatom production due to environmental conditions is a mechanism to explain the observed WAP ecosystem changes and chl decline. Changes in phytoplankton stocks and composition also affect nutrient use, and here the use of silicon and iron (Si and Fe, respectively, which limit productivity in large areas of the Southern Ocean) is investigated. Seasonal Si budgets estimated from Si isotopes indicate a 40 – 70% decline in Si use between high-chl and intermediate-chl years, in agreement with other indices of productivity. The consequences of reduced demand and changing supply suggest future accumulation of Si in WAP surface waters. This should increase Si export away from the WAP shelf, which may act as a mechanism to enhance productivity and carbon drawdown in the wider Southern Ocean. Sources of Fe were assessed by direct measurement and naturally occurring radioisotopes of radium. These reveal significant inputs at the surface (due to glacial sources) and to deep waters (from shelf/slope sediments), which dominate supply to the surface mixed layer at different times. Iron availability and nutrient drawdown indicate that Fe is supplied to WAP surface waters in excess of biological demand. Projected changes to Fe sources and sinks indicate that continued warming will increase the WAP Fe inventory. As for Si, this excess Fe may also be advected away from the shelf, making this region a net Fe source to the Southern Ocean.

Lakes and lake sediments from four areas around the Antarctic Peninsula are described. The concentrations of trace metals in sediment are found to be a useful tool in distinguishing between the different sedimentary phases during a transition from marine to limnic environment. A tephrochronology based on Deception Island tephra is developed, and used to cross date sediments from different lakes in order to overcome the radiocarbon dating problem of the area. The fluctuating concentrations of copper and phosphorus from penguin guano in the sediment of Lake Boeckella are used as a proxy for the penguin inpact on the sediment, and the size of the penguin rookery on the shores of the lake. Anthropogenic activities in the area, as well as climatic changes are discussed in relation to the rookery size. A radiocarbon dating model developed for the sediment of Lake Boeckella showed that the radiocarbon correction factor in the sediment depends on the amount and apparent age of the penguin guano washed down into the lake, and the amount of particulate carbon from the watershed present in the sediment. Neither the "old" meltwater from the glaciers nor dissolved carbonates contributes significantly to the correction factor. The model is used to achieve more accurate radiocarbon dates of the Lake Boeckella sediment. This model, or a modified version, may contribute to a higher dating accuracy and a better understanding of the dating problems in Antarctica. Deglaciation dates, as well as data on the climatic and environmental history of Byers Peninsula on Livingston Island, South Shetland Islands, of Hope Bay, Antarctic Peninsula and of Hidden Lake area, James Ross Island are given. / <p>Diss. (sammanfattning) Umeå : Umeå universitet, 1993, härtill 6 uppsatser.</p> / digitalisering@umu

The western Antarctic Peninsula (WAP) is a hotspot of climatic and oceanographic change, with a 6°C rise in winter atmospheric temperatures and >1°C warming of the surface ocean since the 1950s. These trends are having a profound impact on the physical environment at the WAP, with widespread glacial retreat, a 40% decline in sea ice coverage and intensification of deep water upwelling. The main objective of this study is to assess the response of phytoplankton productivity to these changes, and implications for the marine carbon and nitrogen cycles in the WAP coastal zone. An extensive suite of biogeochemical and physical oceanographic data was collected over five austral summer growing seasons in northern Marguerite Bay between 2004 and 2010. Concentrations and isotopic compositions ( 15N, 13C, 14C) of dissolved nitrate, dissolved inorganic carbon species, particulate nitrogen, organic carbon and chlorophyll a are used in the context of a substantial ancillary dataset to investigate nutrient supply, phytoplankton productivity and nutrient uptake, export flux and the fate of organic material, and the factors underpinning pronounced seasonal and interannual variability. High-resolution biogeochemical time-series data for surface and underlying seawater, sea ice brine, sediment trap material and coretop sediments allow detailed examination of carbon and nitrogen cycle processes under contrasting oceanographic conditions and the interaction between these marine processes and air-sea exchange of climate-relevant CO2. This study shows that the WAP marine environment is currently a summertime sink for atmospheric CO2 in most years due to high productivity and biological carbon uptake sufficient to offset the CO2 supply from circumpolar deep waters, which act as a persistent source of heat, nutrients and CO2 across the shelf. For the first time, CO2 sink/source behaviour is parameterised in terms of nitrate utilisation, by exploiting the relationship between CO2 and nitrate concentrations, and deriving the nitrate depletion at which surface ocean CO2 is undersaturated relative to atmosphere and carbon sink behaviour is achieved. This could have vast utility in examining CO2 sink/source dynamics over greater spatial and temporal scales than by direct CO2 measurements, of which availability is more limited. This study documents abrupt changes in phytoplankton productivity, nitrate utilisation and biological CO2 uptake during a period of rapid sea ice decline. In fact, nitrate utilisation, particulate organic matter production and biological CO2 uptake all decrease by at least 50 % between a sea ice-influenced, high productivity season and one of low sea ice and low productivity. The key driver of interannual variability in production and export of organic material is found to be upper ocean stratification and its regulation of light availability to phytoplankton. Productivity, CO2 uptake and export are maximal when stratification is sufficient to provide a stable well-lit surface environment for phytoplankton growth, but with some degree of mixing to promote export of suspended organic matter. Strong stratification causes intense initial production, but retention of suspended organic particles in the surface ocean induces a self-shading effect, and overall productivity, CO2 uptake and export fluxes are low. When stratification is weak, mixing of phytoplankton over a larger depth range exposes cells to a wider range of light levels and reduces photosynthetic efficiency, thus total productivity and CO2 uptake. A conceptual model is developed here, which attempts to describe the mechanism by which sea ice dynamics exert the principal control on stratification and therefore productivity and CO2 uptake at the WAP, with potential application to other regions of the Antarctic continental shelf. Although meteoric waters (glacial melt and precipitation) are more prevalent in surface waters throughout the study, sea ice meltwater variability is driven by large and rapid spring/early summer pulses, which stabilise the upper ocean and initiate phytoplankton growth. The timing and magnitude of these sea ice melt pulses then exert the key control on stratification and seasonal productivity. In a low sea ice year of this study, the sea ice trigger mechanism was absent and productivity was low. This strongly suggests that ongoing sea ice decline at the WAP and greater frequency of such low sea ice years is likely to drive a dramatic reduction in productivity and export, which would substantially reduce the capacity of the summertime CO2 sink in this region. Ongoing warming and ecosystem change are thus likely to have severe impacts on net CO2 sink/source behaviour at the WAP over the annual cycle, and the role of the Southern Ocean in regulating atmospheric CO2 and global climate. Finally, factors influencing the stable isotopic signature of particulate organic carbon ( 13CPOC), a common paleo-proxy, are assessed. 13CPOC is greatly influenced by seasonal shifts in diatom assemblages and isotopically heavy sea ice material, so cannot be used as a robust proxy for ambient CO2 in the coastal Southern Ocean.

Dados EASE-grid do Special Sensor Microwave-Imager (SSM/I) e imagens classificadas ASAR wideswath (WS), cobrindo a Península Antártica (PA), foram processadas e usadas em um Modelo Linear de Mistura Espectral (MLME), para a análise subpixel da Zona Superficial de Neve Úmida (ZSNU) em imagens SSM/I. As proporções dos componentes puros (imagens-fração) da área de estudo (ZSNU, Zona Superficial de Neve Seca e rochas) foram derivadas das imagens ASAR classificadas. As imagens-fração e imagens SSM/I co-registradas de mesma data (bandas 19H, 19V, 37H e 37V) foram usadas no MLME para estimar as assinaturas espectrais desconhecidas (i.e., temperatura de brilho em cada banda SSM/I). Essas assinaturas espectrais foram então usadas no MLME para estimar as imagens-fração da ZSNU, as quais foram comparadas com as imagens-fração ASAR correspondentes, por meio do cálculo do coeficiente de correlação. Foram identificadas as duas assinaturas espectrais que resultaram nos dados mais correlacionados, sendo também calculadas as correlações das imagens-fração da ZSNU resultantes do uso no MLME dos valores médio e mediano das assinaturas espectrais mais similares. Os valores medianos dessas assinaturas espectrais produziram as imagens-fração da ZSNU mais correlacionadas, que tiveram uma precisão global de classificação média (PGCM) de 95,6% e 97,3%, nas imagens de primavera e outono, respectivamente (amplitude de classes de 0,1), e uma PGCM de 72,6% nas imagens de verão (amplitude de classes de 0,2). Essas assinaturas espectrais medianas foram então usadas no MLME para estimar, com esses níveis de precisão global, a intensidade e extensão da ZSNU na PA, pelo uso de imagens calibradas SSM/I e SMMR (Scanning Multichannel Microwave Radiometer), possibilitando assim a análise diária e em nível subpixel dessa fácie superficial, de 1978 a 2008. Na análise espacial das imagens-fração da ZSNU estimadas, observou-se que o derretimento superficial médio começava no final de outubro e terminava no final de março, com auge em 7 de janeiro (cerca de 172.237 km2 ou 31,6% da área da PA). A área total mediana da ZSNU no verão foi de aproximadamente 105.100 km2. A análise de regressão com as imagens-fração dos verões entre 1978-1979 a 2007-2008 revelou a tendência de redução da área da ZSNU, totalizando 330,854 km2 nesse período. Todavia, essa tendência não é estatisticamente significante, devido à alta variabilidade interanual da área da ZSNU na PA. Forte derretimento superficial ocorreu nos verões de 1984-1985 (176.507,289 km2) e 1989-1990 (172.681,867 km2), enquanto fraco derretimento, nos verões de 1993-1994 (26.392,208 km2) e 1981-1982 (23.244,341 km2). O mais persistente e intenso derretimento superficial foi observado nas plataformas de gelo Larsen, Wilkins, George VI e Wordie e isto foi relacionado com os eventos de fragmentação e desintegração dessas massas de gelo, ocorridos nas últimas décadas. O derretimento superficial está intimamente relacionado com a estabilidade do sistema glacial antártico e com mudanças no nível médio dos mares. Esse poderia ser monitorado em toda a Antártica, por meio da análise subpixel de imagens SMMR e SSM/I proposta neste estudo. / Special Sensor Microwave-Imager (SSM/I) EASE-grid data and classified ASAR wideswath (WS) images, covering the Antarctic Peninsula (AP), were processed and used in a Spectral Linear Mixing Model (SLMM) for a subpixel analysis of the Wet Snow Zone (WSZ) in SSM/I images. The components’ proportions (fraction images) of the endmembers in the study area, namely WSZ, Dry Snow Zone and rock outcrops, were derived from classified ASAR images. These fraction images and co-registered SSM/I images (bands 19H, 19V, 37H and 37V), acquired on the same date, were used in the SLMM to estimate the unknown spectral signatures (i.e., brightness temperature on each SSM/I band). These spectral signatures were used to estimate WSZ fraction images, which were compared with the ASAR fraction images, by calculating the correlation coefficients. This work identified two spectral signatures that produced the most correlated data, and determined the WSZ fraction images correlations resulting from the use, in the SLMM, of the mean and median values of the most similar spectral signatures. The median values of these spectral signatures produced the most correlated WSZ fraction images, which had an average overall classification accuracy (AOCA) of 95.6% and 97.3% for spring and autumn fraction images, respectively (class range of 0.1), and an AOCA of 72.6% for summer fraction images (class range of 0.2). These median spectral signatures were then used in a SLMM to estimate accurately the WSZ intensity and its extension on the AP, by using calibrated SSM/I and SMMR (Scanning Multichannel Microwave Radiometer) imageries, allowing a daily subpixel analysis of this glacier facie on the AP from 1978 to 2008. Based on the spatial analysis of the WSZ fraction images, it was observed that melt primarily takes place in late October and ends in late March, with peak on January 7th (about 172,237 km2 or 31,6% of the AP area). The WSZ median total area in summer was about 105,100 km2. Regression analysis over the 1978-1979 to 2007-2008 summers, revealed a negative interanual trend in surface melt of 330.854 km2. Nevertheless, this trend inference is not statistically significant, due to the high WSZ interanual variability. Extremely high melt occurred in the 1984-1985 (176,507.289 km2) and 1989-1990 (172,681.867 km2) summers, while extremely weak melt occurred in the 1993-1994 (26,392.208 km2) and 1981-1982 (23,244.341 km2) summers. The most persistent and intensive melt was observed on Larsen, Wilkins, George VI and Wordie ice shelves and it was related to the break-up and disintegration events that occurred on these glaciers in the last decades. Surface melting is closely related to the stability of the Antarctic glacial system and global sea level changes. It could be monitored for the whole Antarctica, by using the WSZ subpixel analysis in SMMR and SSM/I imageries proposed by this study.

Dados EASE-grid do Special Sensor Microwave-Imager (SSM/I) e imagens classificadas ASAR wideswath (WS), cobrindo a Península Antártica (PA), foram processadas e usadas em um Modelo Linear de Mistura Espectral (MLME), para a análise subpixel da Zona Superficial de Neve Úmida (ZSNU) em imagens SSM/I. As proporções dos componentes puros (imagens-fração) da área de estudo (ZSNU, Zona Superficial de Neve Seca e rochas) foram derivadas das imagens ASAR classificadas. As imagens-fração e imagens SSM/I co-registradas de mesma data (bandas 19H, 19V, 37H e 37V) foram usadas no MLME para estimar as assinaturas espectrais desconhecidas (i.e., temperatura de brilho em cada banda SSM/I). Essas assinaturas espectrais foram então usadas no MLME para estimar as imagens-fração da ZSNU, as quais foram comparadas com as imagens-fração ASAR correspondentes, por meio do cálculo do coeficiente de correlação. Foram identificadas as duas assinaturas espectrais que resultaram nos dados mais correlacionados, sendo também calculadas as correlações das imagens-fração da ZSNU resultantes do uso no MLME dos valores médio e mediano das assinaturas espectrais mais similares. Os valores medianos dessas assinaturas espectrais produziram as imagens-fração da ZSNU mais correlacionadas, que tiveram uma precisão global de classificação média (PGCM) de 95,6% e 97,3%, nas imagens de primavera e outono, respectivamente (amplitude de classes de 0,1), e uma PGCM de 72,6% nas imagens de verão (amplitude de classes de 0,2). Essas assinaturas espectrais medianas foram então usadas no MLME para estimar, com esses níveis de precisão global, a intensidade e extensão da ZSNU na PA, pelo uso de imagens calibradas SSM/I e SMMR (Scanning Multichannel Microwave Radiometer), possibilitando assim a análise diária e em nível subpixel dessa fácie superficial, de 1978 a 2008. Na análise espacial das imagens-fração da ZSNU estimadas, observou-se que o derretimento superficial médio começava no final de outubro e terminava no final de março, com auge em 7 de janeiro (cerca de 172.237 km2 ou 31,6% da área da PA). A área total mediana da ZSNU no verão foi de aproximadamente 105.100 km2. A análise de regressão com as imagens-fração dos verões entre 1978-1979 a 2007-2008 revelou a tendência de redução da área da ZSNU, totalizando 330,854 km2 nesse período. Todavia, essa tendência não é estatisticamente significante, devido à alta variabilidade interanual da área da ZSNU na PA. Forte derretimento superficial ocorreu nos verões de 1984-1985 (176.507,289 km2) e 1989-1990 (172.681,867 km2), enquanto fraco derretimento, nos verões de 1993-1994 (26.392,208 km2) e 1981-1982 (23.244,341 km2). O mais persistente e intenso derretimento superficial foi observado nas plataformas de gelo Larsen, Wilkins, George VI e Wordie e isto foi relacionado com os eventos de fragmentação e desintegração dessas massas de gelo, ocorridos nas últimas décadas. O derretimento superficial está intimamente relacionado com a estabilidade do sistema glacial antártico e com mudanças no nível médio dos mares. Esse poderia ser monitorado em toda a Antártica, por meio da análise subpixel de imagens SMMR e SSM/I proposta neste estudo. / Special Sensor Microwave-Imager (SSM/I) EASE-grid data and classified ASAR wideswath (WS) images, covering the Antarctic Peninsula (AP), were processed and used in a Spectral Linear Mixing Model (SLMM) for a subpixel analysis of the Wet Snow Zone (WSZ) in SSM/I images. The components’ proportions (fraction images) of the endmembers in the study area, namely WSZ, Dry Snow Zone and rock outcrops, were derived from classified ASAR images. These fraction images and co-registered SSM/I images (bands 19H, 19V, 37H and 37V), acquired on the same date, were used in the SLMM to estimate the unknown spectral signatures (i.e., brightness temperature on each SSM/I band). These spectral signatures were used to estimate WSZ fraction images, which were compared with the ASAR fraction images, by calculating the correlation coefficients. This work identified two spectral signatures that produced the most correlated data, and determined the WSZ fraction images correlations resulting from the use, in the SLMM, of the mean and median values of the most similar spectral signatures. The median values of these spectral signatures produced the most correlated WSZ fraction images, which had an average overall classification accuracy (AOCA) of 95.6% and 97.3% for spring and autumn fraction images, respectively (class range of 0.1), and an AOCA of 72.6% for summer fraction images (class range of 0.2). These median spectral signatures were then used in a SLMM to estimate accurately the WSZ intensity and its extension on the AP, by using calibrated SSM/I and SMMR (Scanning Multichannel Microwave Radiometer) imageries, allowing a daily subpixel analysis of this glacier facie on the AP from 1978 to 2008. Based on the spatial analysis of the WSZ fraction images, it was observed that melt primarily takes place in late October and ends in late March, with peak on January 7th (about 172,237 km2 or 31,6% of the AP area). The WSZ median total area in summer was about 105,100 km2. Regression analysis over the 1978-1979 to 2007-2008 summers, revealed a negative interanual trend in surface melt of 330.854 km2. Nevertheless, this trend inference is not statistically significant, due to the high WSZ interanual variability. Extremely high melt occurred in the 1984-1985 (176,507.289 km2) and 1989-1990 (172,681.867 km2) summers, while extremely weak melt occurred in the 1993-1994 (26,392.208 km2) and 1981-1982 (23,244.341 km2) summers. The most persistent and intensive melt was observed on Larsen, Wilkins, George VI and Wordie ice shelves and it was related to the break-up and disintegration events that occurred on these glaciers in the last decades. Surface melting is closely related to the stability of the Antarctic glacial system and global sea level changes. It could be monitored for the whole Antarctica, by using the WSZ subpixel analysis in SMMR and SSM/I imageries proposed by this study.