Local effects of depth-dependent water content of ice and snow and firn layers temperature on a conjectured subglacial lake below Amundsenisen Icefield (Svalbard)

It is known that the Amundsenisen Icefield in Southern Spitzbergen (Svalbard achipelago) is temperate with an upper layer of snow and firn. It is an accumulation area and, though ice/water mass balance is clearly subject to time evolution, observation data on the long-term elevation changes over the past 40 years (Nuth et al., 2010) allow to assume constant icefield surface. Within our study of the plausibility of a subglacial lake (Glowacki et al., 2007), here, we focus on the sensitivity of the system to the thermal effect of the firn and snow layers.

Arrecifes de corales de aguas frías como posibles indicadores de emisiones de hidrocarburos en el Golfo de Cádiz

El presente documento trata de exponer la relación existente entre los corales de aguas frías encontrados en el Golfo de Cádiz (Atlántico NE) con los procesos tectónicos y las estructuras relacionadas con la migración y la emisión de fluidos ricos en hidrocarburos (principalmente metano). Para ello, desde el año 2000 hasta la actualidad, se han llevado a cabo diversas campañas oceanográficas en las cuales se han obtenido datos y muestras relacionadas con las emisiones de hidrocarburos al fondo marino. Gracias a los datos y las muestras recogidas durante las campañas se han creado una base de datos, en la que se reúnen todos los datos significativos relacionados con las campañas oceanográficas y con el objeto de este trabajo. Para finalizar, tras la creación de la base de datos, y con las muestras proporcionadas por el IGME recogidas durante la campaña oceanográfica MVSEIS08, se han podido llevar a cabo diversos estudios de laboratorio como la racemización de aminoácidos, análisis de biomarcadores así como la datación de los esqueletos aragoníticos de los corales de aguas frías mediante la técnica de U-Th en un futuro, con el objetivo de esclarecer la relación existente entre estas emisiones de fluidos a través de diversas estructuras y los corales de aguas frías, su edad, y en última instancia determinar los cambios producidos en la composición química de la masa de agua atlántica así como la variación de las corrientes en el Golfo de Cádiz durante el último periodo glaciar. ABSTRACT This project attempts to explain the relationship between cold-water coral found in the Gulf of Cadiz (NE Atlantic) with tectonic processes and structures related to migration and hydrocarbon-rich fluids emissions (mainly methane). Since 2000 until present, have conducted various oceanographic cruises in which data were obtained and samples related to hydrocarbon emissions to the seabed. Thanks to data and samples collected during the cruises, I have created a database in which all gather meaningful data related to oceanographic and the object of this work. Finally, after the creation of the database, and the samples provided by the IGME collected during the oceanographic cruise MVSEIS08 have been able to carry out laboratory studies of racemization of aminoacids, biomarkers analysis and dating of aragonitic skeletons of cold-water corals in a future by U-Th data , in order to clarify the relationship between these fluids emissions through various structures, ages cold-water corals, and ultimately determine changes in the chemical composition of Atlantic water mass and the change of currents in the Gulf of Cadiz during the last glacial period.

Spectral study and classification of worldwide locations considering several multijunction solar cell technologies

Multi-junction solar cells are widely used in high-concentration photovoltaic systems (HCPV) attaining the highest efficiencies in photovoltaic energy generation. This technology is more dependent on the spectral variations of the impinging Direct Normal Irradiance (DNI) than conventional photovoltaics based on silicon solar cells and consequently demands a deeper knowledge of the solar resource characteristics. This article explores the capabilities of spectral indexes, namely, spectral matching ratios (SMR), to spectrally characterize the annual irradiation reaching a particular location on the Earth and to provide the necessary information for the spectral optimization of a MJ solar cell in that location as a starting point for CPV module spectral tuning. Additionally, the relationship between such indexes and the atmosphere parameters, such as the aerosol optical depth (AOD), precipitable water (PW), and air mass (AM), is discussed using radiative transfer models such as SMARTS to generate the spectrally-resolved DNI. The network of ground-based sun and sky-scanning radiometers AERONET (AErosol RObotic NETwork) is exploited to obtain the atmosphere parameters for a selected bunch of 34 sites worldwide. Finally, the SMR indexes are obtained for every location, and a comparative analysis is carried out for four architectures of triple junction solar cells, covering both lattice match and metamorphic technologies. The differences found among cell technologies are much less significant than among locations.

Active Optical Sensors for Tree Stem Detection and Classification in Nurseries.

Active optical sensing (LIDAR and light curtain transmission) devices mounted on a mobile platform can correctly detect, localize, and classify trees. To conduct an evaluation and comparison of the different sensors, an optical encoder wheel was used for vehicle odometry and provided a measurement of the linear displacement of the prototype vehicle along a row of tree seedlings as a reference for each recorded sensor measurement. The field trials were conducted in a juvenile tree nursery with one-year-old grafted almond trees at Sierra Gold Nurseries, Yuba City, CA, United States. Through these tests and subsequent data processing, each sensor was individually evaluated to characterize their reliability, as well as their advantages and disadvantages for the proposed task. Test results indicated that 95.7% and 99.48% of the trees were successfully detected with the LIDAR and light curtain sensors, respectively. LIDAR correctly classified, between alive or dead tree states at a 93.75% success rate compared to 94.16% for the light curtain sensor. These results can help system designers select the most reliable sensor for the accurate detection and localization of each tree in a nursery, which might allow labor-intensive tasks, such as weeding, to be automated without damaging crops.