Suchergebnisse

El agua junto a las variaciones climáticas, encabezan discursos políticos y científicos globales en los que resurgen los debates sobre los conflictos acerca de este recurso, la geopolítica del agua, la gestión, la contaminación y la polución. Ante este panorama el IPCC (Panel Intergubernamental del Cambio Climático), la Organización Mundial de Meteorología (OMM),el Programa de la Naciones Unidas para el Medio Ambiente (PNUMA) y distintas organizaciones medioambientales hanenfocado sus intereses científicos en estudios en los cuales se utilicen indicadores hidroclimáticos. En este contexto, este artículo analiza la evolución hidroclimática reciente en dos cuencas principales de la isla de Puerto Rico, utilizando como indicadores las temperaturas, las precipitaciones y los caudales de distintas estaciones de NOAA y el USGS. Inicialmente analizamos cada estación individualmente y luego se hizo un análisis conjunto de la cuenca. Con los resultados obtenidos,en ninguna de las cuencas se pudo establecer tendencias claras en cuanto a la precipitación total anual. Aunque algunas estaciones mostraron tendencias positivas y otras regresivas, ninguna alcanzó valores estadísticamente significativos que permita rechazar la hipótesis nula de no tendencia. Nuestro análisis indica también que en una cuenca la temperatura media anual mostró un ligero aumento, mientras que en la otra la temperatura manifestó descendió. Por otro lado, el volumen de agua anual que discurre por las cuencas ha disminuido en ambos ríos donde se pudo rechazar la hipótesis nula de no tendencia con el análisis de Mann-Kendall. No obstante, existen otros factores que no fueron objeto de estudio en este análisis y que tienen impactos sobre los recursos hídricos, así como los distintos mosaicos paisajísticos que componen una cuenca hidrográfica.Palabras Claves: recursos hídricos, tendencias hidroclimáticas, cambio climático.ABSTRACTToday, water resources and climatic oscillations dominate all political and scientific discourses where the principal debate is focused on water management, water pollution and the geopolitics of this resource. Against this background, the IPCC (Intergovernmental Panel for Climate Change), WMO(World Meteorology Organization), the United Nations Environmental Program (UNEP) and other environmental organizations have focused their scientific research on hydro-climatic evolution. In this context, this article examines recent developments in hydro-climatic evolution on two mainrivers in Puerto Rico, using temperature, rainfall, stream-flow and discharge data from NOAA climatic stations and USGS hydrological stations. Initially, we analyze data from each individual station and then make an integrated analysis of the basins. With the obtained results, in none of the basins was it possible to establish clear trends as to total annual precipitation. Though some stations showed positive trends and others regressive, none reached statistically significant values.Our analysis also indicates that in one basin the annual average temperature showed a slight increase, whereas in the other basin a temperature decrease was confirmed. On the other hand, the volume of annual discharge from both rivers showed a decrease. However, there are other factors that were not considered in this analysis, such as land use, that impact water resources and the various landscape mosaics comprising a watershed.Key Words: water resources, hydro-climatic evolution, climate change

Proceedings of: 10th International Workshop on Adaptive Multimedia Retrieval. Took place October 24-25, 2012, in Copenhaguen (Denmark). ; Automatic speech recognition (ASR) systems are not able to recognize entities that are not present in its vocabulary. The problem considered in this paper is the misrecognition of named entities in Spanish voice queries introducing a proof-of-concept for named entity correction that provides alternative entities to the ones incorrectly recognized or misrecognized by retrieving entities phonetically similar from a dictionary. This system is domain-dependent, using sports news, especially football news, regardless of the automatic speech recognition system used. The correction process exploits the query structure and its semantic information to detect where a named entity appears. The system finds the most suitable alternative entity from a dictionary previously generated with the existing named entities. ; This work has been partially supported by the Regional Government of Madrid under the Research Network MA2VICMR (S2009/TIC-1542) and by the Spanish Center for Industry Technological Development (CDTI, Ministry of Industry, Tourism and Trade) through the BUSCAMEDIA Project (CEN-20091026). ; Publicado

Currently, there are several space missions capable of measuring surface soil moisture, owing to the relevance of this variable in meteorology, hydrology and agriculture. However, the Plant Available Water (PAW), which in some fields of application could be more important than the soil moisture itself, cannot be directly measured by remote sensing. Considering the root zone as the first 50 cm of the soil, in this study, the PAW at 25 cm and 50 cm and integrated between 0 and 50 cm of soil depth was estimated using the surface soil moisture provided by the Soil Moisture Ocean Salinity (SMOS) mission. For this purpose, the Soil Water Index (SWI) has been used as a proxy of the root-zone soil moisture, involving the selection of an optimal T (Topt), which can be interpreted as a characteristic soil water travel time. In this research, several tests using the correlation coefficient (R), the Nash-Sutcliffe score (NS), several error estimators and bias as predictor metrics were applied to obtain the Topt, making a comprehensive study of the T parameter. After analyzing the results, some differences were found between the Topt obtained using R and NS as decision metrics, and that obtained using the errors and bias, but the SWI showed good results as an estimator of the root-zone soil moisture. This index showed good agreement, with an R between 0.60 and 0.88. The method was tested from January 2010 to December 2014, using the database of the Soil Moisture Measurements Stations Network of the University of Salamanca (REMEDHUS) in Spain. The PAW estimation showed good agreement with the in situ measurements, following closely the dry-downs and wetting-up events, with R ranging between 0.60 and 0.92, and error values lower than 0.05 m3m−3. A slight underestimation was observed for both the PAW and root-zone soil moisture at the different depths; this could be explained by the underestimation pattern observed with the SMOS L2 soil moisture product, in line with previous studies. Nevertheless, the results obtained in this research showed an encouraging improvement of the PAW estimation. Despite the need for more research on this issue, the results of this study show that this methodology can be useful for applications of great interest in agriculture and hydrology. ; 339 ; 353 ; 15 ; Spanish Ministry of Economy and Competitiveness ; Spanish Ministry of Economy and Competitiveness ; Castilla y León Region Government ; European Space Agency

A comprehensive understanding of temporal variability of subsurface soil moisture (SM) is paramount in hydrological and agricultural applications such as rainfed farming and irrigation. Since the SMOS (Soil Moisture and Ocean Salinity) mission was launched in 2009, globally available satellite SM retrievals have been used to investigate SM dynamics, based on the fact that useful information about subsurface SM is contained in their time series. SM along the depth profile is influenced by atmospheric forcing and local SM properties. Until now, subsurface SM was estimated by weighting preceding information of remotely sensed surface SM time series according to an optimized depth-specific characteristic time length. However, especially in regions with extreme SM conditions, the response time is supposed to be seasonally variable and depends on related processes occurring at different timescales. Aim of this study was to quantify the response time by means of the time lag between the trend series of satellite and in-situ SM observations using a Dynamic Time Warping (DTW) technique. DTW was applied to the SMOS satellite SM L4 product at 1 km resolution developed by the Barcelona Expert Center (BEC), and in-situ near-surface and root-zone SM of four representative stations at multiple depths, located in the Soil Moisture Measurements Station Network of the University of Salamanca (REMEDHUS) in Western Spain. DTW was customized to control the rate of accumulation and reduction of time lag during wetting and drying conditions and to consider the onset dates of pronounced precipitation events to increase sensitivity to prominent features of the input series. The temporal variability of climate factors in combination with crop growing seasons were used to indicate prevailing SM-related processes. Hereby, a comparison of long-term precipitation recordings and estimations of potential evapotranspiration (PET) allowed us to estimate SM seasons. The spatial heterogeneity of land use was analyzed by means of high-resolution images of Normalized Difference Vegetation Index (NDVI) from Sentinel-2 to provide information about the level of spatial representativeness of SMOS observations to each in-situ station. Results of the spatio-temporal analysis of the study were then evaluated to understand seasonally and spatially changing patterns in time lag. The time lag evolution describes a variable characteristic time length by considering the relevant processes which link SMOS and in-situ SM observation, which is an important step to accurately infer subsurface SM from satellite time series. At a further stage, the approach needs to be applied to different SM networks to understand the seasonal, climate- and site-specific characteristic behaviour of time lag and to decide, whether general conclusions can be drawn. ; The project that gave rise to these results received the support of a fellowship from "la Caixa" Foundation (ID 100010434). The fellowship code is LCF/BQ/DI18/11660050. This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 713673. This study was also funded through the award "Unidad de Excelencia María de Maeztu" MDM-2016-0600 and by the Spanish Ministry of Science and Innovation through the projects ESP2017-89463-C3-1-R, ESP2017-89463-C3-2-R and ESP2017-89463-C3-3-R. ; Peer reviewed

El reciente crecimiento masivo de medios on-line y el incremento de los contenidos generados por los usuarios (por ejemplo, weblogs, Twitter, Facebook) plantea retos en el acceso e interpretación de datos multilingües de manera eficiente, rápida y asequible. El objetivo del proyecto TredMiner es desarrollar métodos innovadores, portables, de código abierto y que funcionen en tiempo real para generación de resúmenes y minería cross-lingüe de medios sociales a gran escala. Los resultados se están validando en tres casos de uso: soporte a la decisión en el dominio financiero (con analistas, empresarios, reguladores y economistas), monitorización y análisis político (con periodistas, economistas y políticos) y monitorización de medios sociales sobre salud con el fin de detectar información sobre efectos adversos a medicamentos. ; The recent massive growth in online media and the rise of user-authored content (e.g weblogs, Twitter, Facebook) has led to challenges of how to access and interpret the strongly multilingual data, in a timely, efficient, and affordable manner. The goal of this project is to deliver innovative, portable open-source real-time methods for cross-lingual mining and summarization of large-scale stream media. Results are validated in three high-profile case studies: financial decision support (with analysts, traders, regulators, and economists), political analysis and monitoring (with politicians, economists, and political journalists) and monitoring patient postings in the health domain to detect adverse drug reactions. ; FP7-ICT287863

Proceedings of: 7th International Workshop on Adaptive Multimedia Retrieval (AMR 2009). Took place 2009, September 24-25, in Madrid. The event Web site is http://nlp.uned.es/amr2009/ ; This paper describes some tests performed on different types of voice/audio input applying three commercial speech recognition tools. Three multimedia retrieval scenarios are considered: a question answering system, an automatic transcription of audio from video files and a real-time captioning system used in the classroom for deaf students. A software tool, RET (Recognition Evaluation Tool), has been developed to test the output of commercial ASR systems. ; This research work has been supported by the Regional Government of Madrid under the Research Network MA2VICMR (S2009/TIC-1542) and by the Spanish Ministry of Education under the project BRAVO (TIN2007-67407-C03-01). ; Publicado

This research was financially supported by Fundacion Mapfre (SV13-MAPFRE-1), Regional Government of the Principado de Asturias, Spain (Research Grant GRUPIN14-093) and Campus of Excellence of the University of Oviedo. MM-C holds a Spanish National Grant (reference AP-2010-5211).The data reported in this paper are archived at the following databases: European Nucleotide Archive (ENA), from the European Bioinformatics Institute in the European Molecular Biology Laboratory, EMBL-EBI (http://www.ebi.ac.uk/). We also acknowledge the assistance of Daniel Serna Fuente (Sequencing Unit of the University of Oviedo).

This study was funded by the Ministerio de Economía y Competitividad (MINECO, Spain), Reference CGL2013-42415-R; the DEVOTES (DEVelopment Of innovative Tools for understanding marine biodiversity and assessing Good Environmental Status)project funded by the European Union under the 7th Framework Programme,`The Ocean of Tomorrow' Theme (Grant Agreement No. 308392)