Suchergebnisse

Póster elaborado para la European Geosciences Union General Assembly, celebrada en Viena del 3 al 8 de abril de 2011 ; This research was supported by the Spanish Ministry of Science and Innovation project NUCLIERSOL (CGL2010- 18546). The first author was granted by a postdoctoral position funded by the government of Catalonia (2009 BP-A 00035).

21 Pags.- 5 Tabls.- 17 Figs. © 2020 The Authors. International Journal of Climatology published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. ; Information was retrieved from the Annual Climate Summaries (ACS) on average monthly temperatures in Spain for the period 1916–1949, and combined with the digitalized data from the National Climate Data Bank of the Spanish meteorological service (AEMET) to create the new MOTEDAS_century (MOnthly Temperature Dataset of Spain) database of mean monthly maximums (Tmax) and minimums (Tmin). This database was used to calculate a high‐resolution (10 × 10 km) grid that allowed to make a detailed analysis of the temporal evolution of temperature in Spain during the period 1916–2015. Over the period, mean Tmax increased by 1.2°C, while Tmin increased by 1.0°C (this ratio is reversed in the second half of the century). In the last 30 years, however, mean annual Tmax and Tmin trends have not been significant. There are some differences between the new mean annual maximum and minimum temperature series and previous versions, which seem to arise from the much higher number of weather stations analysed, their location and the processing used. There is a discussion on the improved spatial representativeness of the new MOTEDAS_century that provides a more detailed representation of the spatial variability of temperatures in continental Spain. ; Spanish Government, Ministry of Economy and Competitiveness, CLICES project (CGL2017‐83866‐C3‐1‐R, CGL2017‐83866‐C3‐3‐R). Regional Government of Aragon, Geo‐environmental and Global Climate Change Research Group (E02‐17R). Dhais Peña‐Angulo received a "Juan de la Cierva" postdoctoral contract (FJCI‐2017‐33652 Spanish Ministry of Economy and Competitiveness, MEC). ; Peer reviewed

A data set of quality checked daily sunshine duration measurements was collected from 104 Italian sites over the 1936 to 2013 period. Monthly mean values were homogenized, projected onto a grid, and subjected to principle component analysis, which identified two significantly different regions: North and South. Sunshine duration temporal evolution is presented, and possible reasons for differences between the two regions are discussed in the light of a comparison with the trends found in observations of total cloud cover and with results from two neighboring regions: the Alps and Spain. In addition, trends for irradiance records, estimated from sunshine duration records using the Ångström-Prescott formula, are presented too. The major feature of the trends, an increase in sunshine duration from the mid-1980s, was common to both northern and southern Italy; the decrease in the preceding 30 year period was not, as northern Italy had a lower rate of decrease than southern Italy. The few records available during the earliest period of the data set indicate that sunshine duration in Italy increased from the mid-1930s to the mid-1950s. The further steps needed to identify and quantify the mechanisms giving rise to the observed trends and to the reported regional differences in dimming and brightening are outlined. Key Points A new data set of homogenized Italian sunshine duration records has been set up Sunshine duration temporal evolution has been studied for the period 1936-2013 Results are discussed on the basis of total cloud cover temporal evolution. ©2015. American Geophysical Union. All Rights Reserved. ; We sincerely thank all the institutions that allowed access to the data for research purposes and contributed to set up the 1936–2013 sunshine duration database. They are as follows (websites and contact persons are provided for data access): CRA-CMA ("Unità di ricerca per la climatologia e la meteorologia applicate all'agricoltura-Consiglio per la Ricerca e la Sperimentazione in Agricoltura." The original data are available at http://cma.entecra.it/homePage.htm since 2003. The data of the previous years have to be requested at CRA-CMA) and Italian Air Force ("Servizio dell'Areonautica Militare Italiana," refer to http://clima.meteoam.it/istruzioni.php for data access). We received the data in the frame of an agreement between Italian Air Force and the Italian National Research Council, Luca Lombroso and Maurizio Ratti for the series of the Geophysical Observatory of Modena (http://www.ossgeo.unimore.it), and the series of the Meteorological Observatory of Pontremoli ("Osservatorio meteorologico Marsili"), Trieste, and Varese observatories (the Trieste original data are available online at http://www.dst.univ.trieste.it/OM/ROM/, the Varese data are available on request at "Centro Geofisico Prealpino-Società Astronomica G.V. Schiaparelli," http://www.astrogeo.va.it/). The HISTALP data are available online in the HISTALP data set (http://www.zamg.ac.at/histalp/), the total cloud cover data come from Italian Air Force ("Servizio dell'Areonautica Militare Italiana," refer to http://clima.meteoam.it/istruzioni.php for data access), and, in conclusion, the Spanish data come from the Spanish Meteorological Agency (AEMET) (http://www.aemet.es/es/portada). We also kindly acknowledge Ruth Loewenstein for the help in improving the language of the paper. This study has been carried out in the framework of the EU project ECLISE (265240). A. Sanchez-Lorenzo was supported by the Postdoctoral Fellowships 2011-BP-B-00078 and JCI-2012-12508, and the Spanish Ministry of Science and Innovation Projects CGL2010-18546 and CGL2011-27574-C02-02. ; Peer Reviewed

Ponencia presentada en: XI Congreso de la Asociación Española de Climatología celebrado en Cartagena entre el 17 y el 19 de octubre de 2018. ; [ES]Los libros de resúmenes anuales publicados por los sucesivos servicios meteorológicos de España contienen información no analizada hasta el presente. El proyecto CLICES (CLImate of the last CEntury in Spanish mainland) financiado por el Gobierno de España y la Unión Europea, tiene como objetivo inicial completar el rescate dela información referida a los promedios mensuales de temperatura máxima y mínima y totales de precipitación mensual, y emparejar esta información con los registros ya digitalizados en los archivos de la Agencia Estatal de Meteorología (AEMet). El objetivo final es elaborar una malla secular (1916-2015) maximizando el empleo de toda la información disponible. Las nuevas mallas no se obtendrán a partir de la reconstrucción e interpolación a partir de un número constante de observatorios, sino mediante la interpolación de los datos disponible en cada momento temporal, obteniendo así información continua en el tiempo y el espacio. Este método supone una ventaja frente a la reconstrucción individualizada de las series temporales, ya que permite trabajar con toda la información aprovechable, independientemente de la longitud de cada serie, si bien plantea problemas metodológicos derivados de que en cada campo mensual reconstruido variarán la localización y el número de observatorios empleados. En el presente trabajo se presentan los resultados iniciales relativos a la disponibilidad de información, incidiendo en aquella aportada por los Libros Resúmenes no incluida en los archivos de AEMet. ; [EN]The collection of books Resúmenes Anuales (Annual Books) published by the different meteorological agencies of Spain Government have information non-digitalized and converted to alphanumeric data. The national project (CLImate of the last CEntury in Spanish mainland) is funding by Spain government and European Union. The main objective of this project is to ...

Póster presentado en: AGU Fall Meeting celebrado en San Francisco del 15 al 19 de diciembre de 2014. ; This work was supported by the Ministry of Economy and Competitiveness of the Government of Spain through the projects NUCLIERSOL (CGL2010-18546) and HIDROCAES (CGL2011-27574-CO2-02). The first author was supported by the "Secretaria per a Universitats i Recerca del Departament d'Economia i Coneixement, de la Generalitat de Catalunya i del programa Cofund de les Accions Marie Curie del 7è Programa marc d'R+D de la Unión Europea" (2011 BP-B 00078) and the postdoctoral fellowship JCI-2012-12508. ASR received a grant from the FPU program (FPU AP2010-0917) of the Spanish Ministry of Education.

The COST (European Cooperation in Science and Technology) Action ES0601: advances in homogenization methods of climate series: an integrated approach (HOME) has executed a blind intercomparison and validation study for monthly homogenization algorithms. Time series of monthly temperature and precipitation were evaluated because of their importance for climate studies and because they represent two important types of statistics (additive and multiplicative). The algorithms were validated against a realistic benchmark dataset. The benchmark contains real inhomogeneous data as well as simulated data with inserted inhomogeneities. Random independent break-type inhomogeneities with normally distributed breakpoint sizes were added to the simulated datasets. To approximate real world conditions, breaks were introduced that occur simultaneously in multiple station series within a simulated network of station data. The simulated time series also contained outliers, missing data periods and local station trends. Further, a stochastic nonlinear global (network-wide) trend was added. ; This study has been performed with support of the European Union, through the COST Action ES0601 – Advances in Homogenisation Methods of Climate Series: an Integrated Approach (HOME), as well as the project Large Scale Climate Changes and their Environmental Relevance funded by the North Rhine-Westphalia Academy of Science. The contribution of VV was supported by the surrogate cloud project (VE 366/3), the one of RL by the Daily Stew project (VE366/5), both sponsored by the German Science Foundation (DFG). The contribution of EA was sponsored by the "Cambios en la Frecuencia, Intensidad y Duracion de eventos Extremos en la Península Ibérica", code number: CGL2007-65546-C03-02.