Estimating the monthly pCO2 distribution in the North Atlantic using a self-organizing neural network

[EN] Here we present monthly, basin-wide maps of the partial pressure of carbon dioxide (pCO2) for the North Atlantic on a latitude by longitude grid for years 2004 through 2006 inclusive. The maps have been computed using a neural network technique which reconstructs the non-linear relationships between three biogeochemical parameters and marine pCO2. A self organizing map (SOM) neural network has been trained using 389 000 triplets of the SeaWiFSMODIS chlorophyll-a concentration, the NCEP/NCAR reanalysis sea surface temperature, and the FOAM mixed layer depth. The trained SOM was labelled with 137 000 underway pCO2 measurements collected in situ during 2004, 2005 and 2006 in the North Atlantic, spanning the range of 208 to 437atm. The root mean square error (RMSE) of the neural network fit to the data is 11.6?atm, which equals to just above 3 per cent of an average pCO2 value in the in situ dataset. The seasonal pCO2 cycle as well as estimates of the interannual variability in the major biogeochemical provinces are presented and discussed. High resolution combined with basin-wide coverage makes the maps a useful tool for several applications such as the monitoring of basin-wide air-sea CO2 fluxes or improvement of seasonal and interannual marine CO2 cycles in future model predictions. The method itself is a valuable alternative to traditional statistical modelling techniques used in geosciences.

Transporte y almacenamiento de CO2 antropogénico en el Atlántico Norte Tropical

[ES]El aumento de la concentración de CO2 en la atmósfera debido a la emisión por parte de la humanidad esta siendo parcialmente amortiguada gracias a la absorción de ese CO2 por el océano. El CO2 es captado a través de la interfase atmósfera-océano y posteriormente la circulación oceánica lo distribuye en el océano interior. Las mayores tasas de acumulación de carbono antropogénico se detectan en el Atlántico Norte por ello este trabajo está enfocado en estudiar cómo la circulación del Atlántico Norte redistribuye este carbono de origen humano en el océano interior

El ahorro energético en los edificios mediante el análisis y tratamiento de los datos de consumo de energía : Propuesta de aplicación al Edificio de Arquitectura

Máster Universitario en Eficiencia Energética (SIANI)

El método del mecano y análisis isogeométrico

[EN]En este trabajo presentamos avances del método del mecano para la generación de mallas de tetraedros y la parametrización volumétrica de sólidos. El método combina varios procedimientos: una transformación desde la frontera del mecano (espacio paramétrico sencillo) a la superficie del sólido (espacio físico), un algoritmo de refinamiento local de mallas de tetraedros, y un desenredo y suavizado simultáneo de mallas. La base del método consiste en la definición de una transformación volumétrica biyectiva entre el mecano y el sólido. Se mostrarán resultados usando elementos finitos adaptativos en varios problemas medioambientales : campos de viento, contaminación atmósférica, etc…

Grain size, morphometry and mineralogy of airborne input in the Canary basin: evidence of iron particle retention in the mixed layer

[EN]Aeolian dust plays an important role in climate and ocean processes. Particularly, Saharan dust deposition is of importance in the Canary Current due to its content of iron minerals, which are fertilizers of the ocean. In this work, dust particles are characterized mainly by granulometry, morphometry and mineralogy, using image processing and scanning northern Mauritania and the Western Sahara. The concentration of terrigenous material was measured in three environments: the atmosphere (300 m above sea level), the mixed layer at 10 m depth, and 150 m depth. Samples were collected before and during the dust events, thus allowing the effect of Saharan dust inputs in the water column to be assessed. The dominant grain size was coarse silt

Grain size, morphometry and mineralogy of airborne input in the Canary basin: evidence of iron particle retention in the mixed layer

[EN] Aeolian dust plays an important role in climate and ocean processes. Particularly, Saharan dust deposition is of importance in the Canary Current due to its content of iron minerals, which are fertilizers of the ocean. In this work, dust particles are characterized mainly by granulometry, morphometry and mineralogy, using image processing and scanning northern Mauritania and the Western Sahara. The concentration of terrigenous material was measured in three environments: the atmosphere (300 m above sea level), the mixed layer at 10 m depth, and 150 m depth. Samples were collected before and during the dust events, thus allowing the effect of Saharan dust inputs in the water column to be assessed.