4 research outputs found
Catálogo de los eventos extraordinarios de precipitación diaria en España (periodo 1916-2022)
No full text[ES] El catálogo incluye tantos las fechas de los eventos como las del día previo y posterior en un listado junto al mapeado de cada uno de ellos en cartografías individuales (3 por cada evento) donde se incluyen todos los observatorios en la misma fecha que registraron el máximo mensual de precipitación, fuese cual fuese su magnitud. [ES] The catalogue includes the dates of the events as well as those of the previous and following day in a list together with the mapping of each of them in individual cartographies (3 for each event) where all the observatories on the same date that recorded the maximum monthly precipitation, whatever its magnitude, are included.[ES] "Extraordnary_Daily_Precipitation_Catalogue_of_Spain_1916-2022, v.1.0.0. [Dataset]" es un catálogo de eventos de lluvia extraordinaria sucedidos a escala diaria superiores a 100 mm y 200 mm obtenido a partir de los Libros Resúmenes Anuales, editados por los sucesivos Servicios Meteorológicos de España en el periodo 1916-1950 y los fondos documetales del Banco Nacional de Datos Climáticos de AEMET.[EN] “Extraordinary_Daily_Precipitation_Catalogue_of_Spain_1916-2022, v.1.0.0. [Dataset]” is a catalog of daily extraordinary rainfall events greater than 100 mm and 200 mm obtained from the Annual Summary Books, edited by the successive Meteorological Services of Spain in the period 1916-1950 and the documentary collections of the National Climatic Data Bank of AEMET.Project PID2020-116860RB-C22: Extremos térmicos y pluviométricos en la España peninsular 1916-2020), funded by the Spanish Ministry of ScienceN
MOTEDAS Century Database. Thermal amplitude trends in Spanish mainland (1916-2015)
No full text1 Pag. © Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.The new dataset MOTEDAS_Century (MOnthly TEmperature DAtaset of Spain) combines data from
the Spanish national meteorological office (AEMET) archives with data rescued from annual books
spanning the first decades of the 20th Century. This dataset allowed us to produce a high
resolution (10x10 km) grid of minimum and maximum temperatures spanning over the last
century (1916-2015). In the present research we will show a spatial analysis of the DTR (TmaxTmin) evolution by using moving windows from the total period (1916-2015) to a minimum time
span of twenty years (1996-2015). Trends were calculated at monthly scale at each pixel series by
means of a pre-whitened Mann-Kendall test in order to determine the sign and significance of
trends.Peer reviewe
Long-term precipitation in Southwestern Europe reveals no clear trend attributable to anthropogenic forcing
No full text© 2020 The Author(s). Artículo firmado por 14 autores. This work was supported by the research projects CGL2017-82216-R, CGL2017-83866-C3-3-R and PCI2019-103631, financed by the Spanish Commission of Science and Technology and FEDER; CROSSDRO project financed by the AXIS (Assessment of Cross(X)—sectoral climate Impacts and pathways for Sustainable transformation), JPI-Climate cofunded call of the European Commission and INDECIS which is part of ERA4CS, an ERA-NET initiated by JPI Climate, and funded by FORMAS (SE), DLR (DE), BMWFW (AT), IFD (DK), MINECO (ES), ANR (FR) with co-funding by the European Union (Grant 690462). Dhais Peña-Angulo received a ‘Juan de la Cierva’ postdoctoral contract (FJCI2017-33652 Spanish Ministry of Economy and Competitiveness, MEC). Conor Murphy was supported by the Irish Environmental Protection Agency (Grant Nos. 2019-CCRP-MS.60). Marco Turco has received funding from the Spanish Ministry of Science, Innovation and Universities through the project PREDFIRE (RTI2018-099711-J-I00), which is cofinanced with the European Regional Development Fund (ERDF/FEDER).We present a long-term assessment of precipitation trends in Southwestern Europe (1850–2018) using data from multiple sources, including observations, gridded datasets and global climate model experiments. Contrary to previous investigations based on shorter records, we demonstrate, using new long-term, quality controlled precipitation series, the lack of statistically significant long-term decreasing trends in precipitation for the region. Rather, significant trends were mostly found for shorter periods, highlighting the prevalence of interdecadal and interannual variability at these time-scales. Global climate model outputs from three CMIP experiments are evaluated for periods concurrent with observations. Both the CMIP3 and CMIP5 ensembles show precipitation decline, with only CMIP6 showing agreement with long term trends in observations. However, for both CMIP3 and CMIP5 large interannual and internal variability among ensemble members makes it difficult to identify a trend that is statistically different from observations. Across both observations and models, our results make it difficult to associate any declining trends in precipitation in Southwestern Europe to anthropogenic forcing at this stage.Unión Europea. Horizonte 2020Ministerio de Ciencia e Innovación (MICINN)/FEDERMinisterio de Economía y Competitividad (MINECO)the AXIS (Assessment of Cross(X)—sectoral climate Impacts and pathways for Sustainable transformation)Irish Environmental Protection AgencyDepto. de Física de la Tierra y AstrofísicaFac. de Ciencias FísicasTRUEpu
High-resolution spatio-temporal analyses of drought episodes in the western Mediterranean basin (Spanish mainland, Iberian Peninsula)
No full text12 Pags.- 6 Figs.- 1 Tabl. © The Author(s) 2018. Open Access. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The purpose of this research was to identify major drought events on the Spanish mainland between 1961 and 2014 by means of two drought indices, and analyze the spatial propagation of drought conditions. The indices applied were the standardized precipitation index (SPI) and the standardized evaporation precipitation index (SPEI). The first was calculated as standardized anomalies of precipitation at various temporal intervals, while the second examined the climatic balance normalized at monthly scale, incorporating the relationship between precipitation and the atmospheric water demand. The daily meteorological data from Spanish Meteorological Archives (AEMet) were used in performing the analyses. Within the framework of the DESEMON project, original data were converted into a high spatial resolution grid (1.1 km2) following exhaustive quality control. Values of both indices were calculated on a weekly scale and different timescales (12, 24 and 36 months). The results show that during the first half of the study period, the SPI usually returned a higher identification of drought areas, while the reverse was true from the 1990s, suggesting that the effect from atmospheric evaporative demand could have increased. The temporal propagation from 12- to 24-month and 36-month timescales analyzed in the paper seems to be a far from straightforward phenomenon that does not follow a simple rule of time lag, because events at different temporal scales can overlap in time and space. Spatially, the propagation of drought events affecting more than 25% of the total land indicates the existence of various spatial gradients of drought propagation, mostly east–west or west–east, but also north–south have been found. No generalized episodes were found with a radial pattern, i.e., from inland to the coast.This work is supported by the projects CGL2014-52135-C03-01, CGL2014-52135-C3-3-R and PCIN-2015-220, financed by the Spanish Government, Ministry of the Economy and Finance and FEDER, IMDROFLOOD financed by the Water Works 2014 co-funded call of the European Commission, INDECIS, financed by the ERA-NET Cofund for Climate Services of the European Research Area for Climate Services, and the Regional Government of Aragón DGA-FSE (Grupo de Investigación Consolidado ‘Clima, Agua, Cambio Global y Sistemas Naturales’). Celia Salinas is a FPI-PhD student supported by the Ministry of the Economy and Finance. Miquel Tomas-Burguera was supported by the predoctoral FPU program 2013 (Ministry of Education, Culture and Sport).Peer reviewe
