{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T19:18:42Z","timestamp":1775157522968,"version":"3.50.1"},"reference-count":60,"publisher":"Copernicus GmbH","issue":"4","license":[{"start":{"date-parts":[[2019,12,16]],"date-time":"2019-12-16T00:00:00Z","timestamp":1576454400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Earth Syst. Sci. Data"],"abstract":"<jats:p>Abstract. The present work presents a new observational gridded dataset (referred to as Iberia01) for daily precipitation and temperatures produced using a dense network (thousands) of stations over the Iberian Peninsula for the period 1971\u20132015 at 0.1\u2218 regular (and 0.11\u2218 CORDEX-compliant rotated) resolutions. We analyze mean and extreme indices and compare the results with the E-OBS v17 dataset (using both the standard and ensemble versions, at 0.25 and 0.1\u2218 resolutions, respectively), in order to assess observational uncertainty in this region. We show that Iberia01 produces more realistic precipitation patterns than E-OBS for the mean and extreme indices considered, although both are comparable for temperatures. To assess the differences between these datasets, a new probabilistic intercomparison analysis was performed, using the E-OBS ensemble (v17e) to characterize observational uncertainty and testing whether Iberia01 falls within the observational uncertainty range provided by E-OBS. In general, uncertainty values are large in the whole territory, with the exception of a number of kernels where the uncertainty is small, corresponding to the stations used to build the E-OBS grid. For precipitation, significant differences \u2013 at the 10\u2009% level \u2013 between both datasets were found for fewer than 25\u2009% of days over the Iberian Peninsula. For temperature, a very inhomogeneous spatial pattern was obtained, with either a small (in most of the regions) or large fraction of significantly different days, thus indicating sensible regions for observational uncertainty. Iberia01 is publicly available (Herrera et\u00a0al.,\u00a02019a,\u00a0https:\/\/doi.org\/10.20350\/digitalCSIC\/8641).<\/jats:p>","DOI":"10.5194\/essd-11-1947-2019","type":"journal-article","created":{"date-parts":[[2019,12,16]],"date-time":"2019-12-16T02:24:50Z","timestamp":1576463090000},"page":"1947-1956","source":"Crossref","is-referenced-by-count":75,"title":["Iberia01: a new gridded dataset of daily precipitation and temperatures over Iberia"],"prefix":"10.5194","volume":"11","author":[{"given":"Sixto","family":"Herrera","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0259-6827","authenticated-orcid":false,"given":"Rita Margarida","family":"Cardoso","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9155-5874","authenticated-orcid":false,"given":"Pedro Matos","family":"Soares","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3501-5531","authenticated-orcid":false,"given":"F\u00e1tima","family":"Esp\u00edrito-Santo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6587-3062","authenticated-orcid":false,"given":"Pedro","family":"Viterbo","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Manuel","family":"Guti\u00e9rrez","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2019,12,16]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Adam, J.\u00a0C., Clark, E.\u00a0A., Lettenmaier, D.\u00a0P., and Wood, E.\u00a0F.: Correction of\nGlobal Precipitation Products for Orographic Effects, J. Climate, 19,\n15\u201338, https:\/\/doi.org\/10.1175\/JCLI3604.1, 2006.\u2002a","DOI":"10.1175\/JCLI3604.1"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Beguer\u00eda, S., Vicente-Serrano, S.\u00a0M., Tom\u00e1s-Burguera, M., and Maneta,\nM.: Bias in the variance of gridded data sets leads to misleading conclusions\nabout changes in climate variability, Int. J. Climatol.,\n36, 3413\u20133422, https:\/\/doi.org\/10.1002\/joc.4561, 2016.\u2002a, b","DOI":"10.1002\/joc.4561"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Belo-Pereira, M., Dutra, E., and Viterbo, P.: Evaluation of global\nprecipitation data sets over the Iberian Peninsula, J. Geophys.\nRes.-Atmos., 116, D20101, https:\/\/doi.org\/10.1029\/2010JD015481,\n2011.\u2002a","DOI":"10.1029\/2010JD015481"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Cardoso, R., Soares, P., Miranda, P., and Belo-Pereira, M.: WRF high resolution\nsimulation of Iberian mean and extreme precipitation climate, Int. J. Climatol., 33, 2591\u20132608, https:\/\/doi.org\/10.1002\/joc.3616,\n2013.\u2002a","DOI":"10.1002\/joc.3616"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Cornes, R.\u00a0C., van\u00a0der Schrier, G., van\u00a0den Besselaar, E. J.\u00a0M., and Jones,\nP.\u00a0D.: An Ensemble Version of the E-OBS Temperature and Precipitation Data\nSets, J. Geophys. Res.-Atmos., 123, 9391\u20139409,\nhttps:\/\/doi.org\/10.1029\/2017JD028200, 2018.\u2002a, b","DOI":"10.1029\/2017JD028200"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"Craven, P. and Wahba, G.: Smoothing noisy data with spline functions,\nNumer. Math., 31, 377\u2013403, 1979.\u2002a","DOI":"10.1007\/BF01404567"},{"key":"ref7","doi-asserted-by":"crossref","unstructured":"Durand, Y., Brun, E., Merindol, L., Guyomarc'h, G., Lesaffre, B., and Martin,\nE.: A meteorological estimation of relevant parameters for snow models,\nAnn. Glaciol., 18, 65\u201371, https:\/\/doi.org\/10.3189\/S0260305500011277, 1993.\u2002a","DOI":"10.3189\/S0260305500011277"},{"key":"ref8","doi-asserted-by":"crossref","unstructured":"Esteban-Parra, M., Rodrigo, F., and Castro-Diez, Y.: Spatial and temporal\npatterns of precipitation in Spain for the period 1880\u20131992, Int. J. Climatol., 18, 1557\u20131574,\nhttps:\/\/doi.org\/10.1002\/(SICI)1097-0088(19981130)18:14&amp;lt;1557::AID-JOC328&amp;gt;3.0.CO;2-J, 1998.\u2002a","DOI":"10.1002\/(SICI)1097-0088(19981130)18:14<1557::AID-JOC328>3.3.CO;2-A"},{"key":"ref9","doi-asserted-by":"crossref","unstructured":"Frei, C.: Interpolation of temperature in a mountainous region using nonlinear\nprofiles and non-Euclidean distances, Int. J. Climatol.,\n34, 1585\u20131605, https:\/\/doi.org\/10.1002\/joc.3786, 2014.\u2002a, b, c","DOI":"10.1002\/joc.3786"},{"key":"ref10","doi-asserted-by":"crossref","unstructured":"Frei, C., Christensen, J.\u00a0H., D\u00e9qu\u00e9, M., Jacob, D., Jones, R.\u00a0G., and\nVidale, P.\u00a0L.: Daily precipitation statistics in regional climate models:\nEvaluation and intercomparison for the European Alps, J. Geophys.\nRes.-Atmos., 108, https:\/\/doi.org\/10.1029\/2002JD002287, 2003.\u2002a","DOI":"10.1029\/2002JD002287"},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Frick, C., Steiner, H., Mazurkiewicz, A., Riediger, U., Rauthe, M., Reich, T.,\nand Gratzki, A.: Central European high-resolution gridded daily data sets\n(HYRAS): Mean temperature and relative humidity, Meteorol. Z.,\n23, 15\u201332, https:\/\/doi.org\/10.1127\/0941-2948\/2014\/0560, 2014.\u2002a","DOI":"10.1127\/0941-2948\/2014\/0560"},{"key":"ref12","unstructured":"Giorgi, F., Jones, C., and Asrar, G.\u00a0R.: Addressing climate information needs\nat the regional level: the CORDEX framework, World Meteorological\nOrganization (WMO) Bulletin, 58, 175\u2013183, 2009.\u2002a"},{"key":"ref13","doi-asserted-by":"crossref","unstructured":"H\u00e4ggmark, L., Ivarsson, K.-I., Gollvik, S., and Olofsson, P.-O.: Mesan, an\noperational mesoscale analysis system, Tellus A, 52, 2\u201320, https:\/\/doi.org\/10.3402\/tellusa.v52i1.12250, 2000.\u2002a","DOI":"10.1034\/j.1600-0870.2000.520102.x"},{"key":"ref14","doi-asserted-by":"crossref","unstructured":"Harris, I., Jones, P., Osborn, T., and Lister, D.: Updated high-resolution\ngrids of monthly climatic observations \u2013 the CRU TS3.10 Dataset,\nInt. J. Climatol., 34, 623\u2013642, https:\/\/doi.org\/10.1002\/joc.3711,\n2014.\u2002a","DOI":"10.1002\/joc.3711"},{"key":"ref15","doi-asserted-by":"crossref","unstructured":"Haylock, M., Hofstra, N., Klein-Tank, A., Klok, E.\u00a0J., Jones, P., and New, M.:\nA European daily high-resolution gridded data set of surface temperature and\nprecipitation for 1950\u20132006, J. Geophys. Res., 113, D20119,\nhttps:\/\/doi.org\/10.1029\/2008JD010201, 2008.\u2002a, b","DOI":"10.1029\/2008JD010201"},{"key":"ref16","unstructured":"Herrera, S.: Desarrollo, Validaci\u00f3n Y Aplicaciones de Spain02:\nUna Rejilla de Alta Resoluci\u00f3n de Observaciones Interpoladas Para\nPrecipitaci\u00f3n Y Temperatura en Espa\u00f1a, PhD thesis,\nUniversidad de Cantabria, available at:\nhttp:\/\/www.meteo.unican.es\/tesis\/herrera (last access: 22 September 2019), 2011 (in Spanish).\u2002a, b, c"},{"key":"ref17","doi-asserted-by":"crossref","unstructured":"Herrera, S., Guti\u00e9rrez, J.\u00a0M., Ancell, R., Pons, M.\u00a0R., Fr\u00edas, M., and Fernandez, J.: Development and analysis of a 50\u2013year high\u2013resolution daily\ngridded precipitation dataset over Spain (Spain02), Int. J.\nClimatol., 36, 74\u201385, https:\/\/doi.org\/10.1002\/joc.2256, 2012.\u2002a, b, c, d, e","DOI":"10.1002\/joc.2256"},{"key":"ref18","doi-asserted-by":"crossref","unstructured":"Herrera, S., Fern\u00e1ndez, J., and Gutierrez, J. M.: Update of the Spain02 gridded\nobservational dataset for EURO-CORDEX evaluation: assessing the effect of the\ninterpolation methodology, Int. J. Climatol., 36,\n900\u2013908, https:\/\/doi.org\/10.1002\/joc.4391, 2015.\u2002a, b, c","DOI":"10.1002\/joc.4391"},{"key":"ref19","doi-asserted-by":"crossref","unstructured":"Herrera, S., Cardoso, R.\u00a0M., Soares, P. M.\u00a0M., Esp\u00edrito-Santo, F., Viterbo, P., and Guti\u00e9rrez, J.\u00a0M.: Iberia01: Daily gridded (0.1\u2218 resolution)\ndataset of precipitation and temperatures over the Iberian Peninsula, DIGITAL.CSIC, https:\/\/doi.org\/10.20350\/digitalCSIC\/8641, 2019a.\u2002a, b","DOI":"10.5194\/essd-2019-95"},{"key":"ref20","doi-asserted-by":"crossref","unstructured":"Herrera, S., Kotlarski, S., Soares, P. M.\u00a0M., Cardoso, R.\u00a0M., Jaczewski, A.,\nGuti\u00e9rrez, J.\u00a0M., and Maraun, D.: Uncertainty in gridded precipitation\nproducts: Influence of station density, interpolation method and grid\nresolution, Int. J. Climatol., 39, 3717\u20133729,\nhttps:\/\/doi.org\/10.1002\/joc.5878, 2019b.\u2002a, b, c","DOI":"10.1002\/joc.5878"},{"key":"ref21","doi-asserted-by":"crossref","unstructured":"Hofstra, N., Haylock, M., New, M., and Jones, P.: Testing E-OBS European\nhigh-resolution gridded data set of daily precipitation and surface\ntemperature, J. Geophys. Res., 114, D21101,\nhttps:\/\/doi.org\/10.1029\/2009JD011799, 2009.\u2002a","DOI":"10.1029\/2009JD011799"},{"key":"ref22","doi-asserted-by":"crossref","unstructured":"Hofstra, N., New, M., and McSweeney, C.: The influence of interpolation and\nstation network density on the distributions and trends of climate variables\nin gridded daily data, Clim. Dynam., 35, 841\u2013858,\nhttps:\/\/doi.org\/10.1007\/s00382-009-0698-1, 2010.\u2002a","DOI":"10.1007\/s00382-009-0698-1"},{"key":"ref23","unstructured":"Hutchinson, M.: Interpolation of rainfall data with thin plate smoothing\nsplines \u2013 Part I: two dimensional smoothing of data with short range\ncorrelation, Journal of Geographic Information and Decision Analysis, 2,\n139\u2013151, 1998a.\u2002a"},{"key":"ref24","unstructured":"Hutchinson, M.: Interpolation of rainfall data with thin plate smoothing\nsplines \u2013 Part II: analysis of topographic dependence, Journal of\nGeographic Information and Decision Analysis, 2, 152\u2013167,\n1998b.\u2002a"},{"key":"ref25","doi-asserted-by":"crossref","unstructured":"Iturbide, M., Bedia, J., Herrera, S., Ba\u00f1o-Medina, J., Fern\u00e1ndez, J., Fr\u00edas,\nM.\u00a0D., Manzanas, R., San-Mart\u00edn, D., Cimadevilla, E., Cofi\u00f1o, A.\u00a0S., and\nGuti\u00e9rrez, J.\u00a0M.: The R-based climate4R open framework for reproducible\nclimate data access and post-processing, Environ. Model. Softw.,\n111, 42\u201354, https:\/\/doi.org\/10.1016\/j.envsoft.2018.09.009,\n2019.\u2002a","DOI":"10.1016\/j.envsoft.2018.09.009"},{"key":"ref26","doi-asserted-by":"crossref","unstructured":"Jacob, D., Petersen, J., Eggert, B., Alias, A., Christensen, O., Bouwer, L.,\nBraun, A., Colette, A., D\u00e9qu\u00e9, M., Georgievski, G., Georgopoulou, E., Gobiet,\nA., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones, C., Keuler,\nK., Kovats, S., Kr\u00f6ner, N., Kotlarski, S., Kriegsmann, A., Martin, E., van\nMeijgaard, E., Moseley, C., Pfeifer, S., Preuschmann, S., Radermacher, C.,\nRadtke, K., Rechid, D., Rounsevell, M., Samuelsson, P., Somot, S., Soussana,\nJ.-F., Teichmann, C., Valentini, R., Vautard, R., Weber, B., and Yiou, P.:\nEURO-CORDEX: new high-resolution climate change projections for European\nimpact research, Reg. Environ. Change, 14, 563\u2013578,\nhttps:\/\/doi.org\/10.1007\/s10113-013-0499-2, 2014.\u2002a","DOI":"10.1007\/s10113-013-0499-2"},{"key":"ref27","doi-asserted-by":"crossref","unstructured":"Johansson, B.: Areal Precipitation and Temperature in the Swedish Mountains: An Evaluation from a Hydrological Perspective, Hydrol. Res., 31, 207,\nhttps:\/\/doi.org\/10.2166\/nh.2000.0013, 2000.\u2002a","DOI":"10.2166\/nh.2000.0013"},{"key":"ref28","doi-asserted-by":"crossref","unstructured":"Johansson, B. and Chen, D.: The influence of wind and topography on\nprecipitation distribution in Sweden: statistical analysis and modelling,\nInt. J. Climatol., 23, 1523\u20131535, https:\/\/doi.org\/10.1002\/joc.951,\n2003.\u2002a","DOI":"10.1002\/joc.951"},{"key":"ref29","doi-asserted-by":"crossref","unstructured":"Jones, P.\u00a0D., Wigley, T. M.\u00a0L., and Kelly, P.\u00a0M.: Variations in Surface Air\nTemperatures: Part 1. Northern Hemisphere, 1881\u20131980, Mon. Weather\nRev., 110, 59\u201370, https:\/\/doi.org\/10.1175\/1520-0493(1982)110&amp;lt;0059:VISATP&amp;gt;2.0.CO;2,\n1982.\u2002a","DOI":"10.1175\/1520-0493(1982)110<0059:VISATP>2.0.CO;2"},{"key":"ref30","doi-asserted-by":"crossref","unstructured":"Jones, P.\u00a0D., Raper, S. C.\u00a0B., Bradley, R.\u00a0S., Diaz, H.\u00a0F., Kellyo, P.\u00a0M., and\nWigley, T. M.\u00a0L.: Northern Hemisphere Surface Air Temperature Variations:\n1851\u20131984, J. Climate Appl. Meteorol., 25, 161\u2013179,\nhttps:\/\/doi.org\/10.1175\/1520-0450(1986)025&amp;lt;0161:NHSATV&amp;gt;2.0.CO;2, 1986a.\u2002a","DOI":"10.1175\/1520-0450(1986)025<0161:NHSATV>2.0.CO;2"},{"key":"ref31","doi-asserted-by":"crossref","unstructured":"Jones, P.\u00a0D., Raper, S. C.\u00a0B., and Wigley, T. M.\u00a0L.: Southern Hemisphere\nSurface Air Temperature Variations: 1851\u20131984, J. Climate\nAppl. Meteorol., 25, 1213\u20131230, https:\/\/doi.org\/10.1175\/1520-0450(1986)025&amp;lt;1213:SHSATV&amp;gt;2.0.CO;2, 1986b.\u2002a","DOI":"10.1175\/1520-0450(1986)025<1213:SHSATV>2.0.CO;2"},{"key":"ref32","doi-asserted-by":"crossref","unstructured":"Kidd, C., Bauer, P., Turk, J., Huffman, G.\u00a0J., Joyce, R., Hsu, K.-L., and\nBraithwaite, D.: Intercomparison of High-Resolution Precipitation Products\nover Northwest Europe, J. Hydrometeor., 13, 67\u201383, https:\/\/doi.org\/10.1175\/JHM-D-11-042.1, 2011.\u2002a","DOI":"10.1175\/JHM-D-11-042.1"},{"key":"ref33","doi-asserted-by":"crossref","unstructured":"Klein\u00a0Tank, A. M.\u00a0G., Wijngaard, J.\u00a0B., K\u00f6nnen, G.\u00a0P., B\u00f6hm, R., Demar\u00e9e,\nG., Gocheva, A., Mileta, M., Pashiardis, S., Hejkrlik, L., Kern-Hansen, C.,\nHeino, R., Bessemoulin, P., M\u00fcller-Westermeier, G., Tzanakou, M., Szalai,\nS., P\u00e1lsd\u00f3ttir, T., Fitzgerald, D., Rubin, S., Capaldo, M., Maugeri, M.,\nLeitass, A., Bukantis, A., Aberfeld, R., van Engelen, A. F.\u00a0V., Forland, E.,\nMietus, M., Coelho, F., Mares, C., Razuvaev, V., Nieplova, E., Cegnar, T.,\nAntonio\u00a0L\u00f3pez, J., Dahlstr\u00f6m, B., Moberg, A., Kirchhofer, W., Ceylan, A.,\nPachaliuk, O., Alexander, L.\u00a0V., and Petrovic, P.: Daily dataset of\n20th-century surface air temperature and precipitation series for the\nEuropean Climate Assessment, Int. J. Climatol., 22,\n1441\u20131453, https:\/\/doi.org\/10.1002\/joc.773,\n2002.\u2002a","DOI":"10.1002\/joc.773"},{"key":"ref34","doi-asserted-by":"crossref","unstructured":"Klok, E.\u00a0J. and Klein\u00a0Tank, A. M.\u00a0G.: Updated and extended European dataset of daily climate observations, Int. J. Climatol., 29,\n1182\u20131191, https:\/\/doi.org\/10.1002\/joc.1779, 2009.\u2002a, b","DOI":"10.1002\/joc.1779"},{"key":"ref35","doi-asserted-by":"crossref","unstructured":"Kotlarski, S., Szab\u00f3, P., Herrera, S., R\u00e4ty, O., Keuler, K., Soares,\nP.\u00a0M., Cardoso, R.\u00a0M., Bosshard, T., Pag\u00e9, C., Boberg, F., Guti\u00e9rrez,\nJ.\u00a0M., Isotta, F.\u00a0A., Jaczewski, A., Kreienkamp, F., Liniger, M.\u00a0A., Lussana,\nC., and Pianko-Kluczynska, K.: Observational uncertainty and regional climate model\nevaluation: A pan-European perspective, Int. J. Climatol., 39, 3730\u20133749, https:\/\/doi.org\/10.1002\/joc.5249, 2019.\u2002a","DOI":"10.1002\/joc.5249"},{"key":"ref36","unstructured":"Krige, D.\u00a0G.: A statistical approach to some basic mine valuation problems on\nthe Witwatersrand, Journal of the Chemical, Metallurgical and Mining Society\nof South Africa, 52, 119\u2013139, 1951.\u2002a"},{"key":"ref37","unstructured":"Lakatos, M., Szentimrey, T., Bihari, Z., and Szalai, S.: Creation of a homogenized climate database for the Carpathian region by applying the MASH procedure and\nthe preliminary analysis of the data, Q. J. Hungarian\nMeteorol. Serv., 117, 143\u2013158, 2013.\u2002a"},{"key":"ref38","doi-asserted-by":"crossref","unstructured":"Lorente, P., Hern\u00e1ndez, E., Queralt, S., and Ribera, P.: The flood event\nthat affected Badajoz in November 1997, Adv. Geosci., 16, 73\u201380,\n2008.\u2002a","DOI":"10.5194\/adgeo-16-73-2008"},{"key":"ref39","doi-asserted-by":"crossref","unstructured":"Lussana, C., Saloranta, T., Skaugen, T., Magnusson, J., Tveito, O. E., and Andersen, J.: seNorge2 daily precipitation, an observational gridded dataset over Norway from 1957 to the present day, Earth Syst. Sci. Data, 10, 235\u2013249, https:\/\/doi.org\/10.5194\/essd-10-235-2018, 2018.\u2002a","DOI":"10.5194\/essd-10-235-2018"},{"key":"ref40","unstructured":"Matheron, G.: Trait\u00e9 de G\u00e9ostatistique appliqu\u00e9e, Tome 1\u20132,\nEditions Technip, Paris, France, 1962.\u2002a"},{"key":"ref41","unstructured":"MeteoSwiss: Documentation of MeteoSwiss Grid-Data Products: Daily Mean, Minimum\nand Maximum Temperature: TabsD, TminD, TmaxD, Tech. rep., Federal Office of\nMeteorology and Climatology MeteoSwiss, Federal Department of Home Affairs\nFDHA, Switzerland, available at: https:\/\/www.meteoswiss.admin.ch\/content\/dam\/meteoswiss\/de\/service-und-publikationen\/produkt\/raeumliche-daten-temperatur\/doc\/ProdDoc_TabsD.pdf (last access: 22 September 2019), 2013a.\u2002a"},{"key":"ref42","unstructured":"MeteoSwiss: Documentation of MeteoSwiss Grid-Data Products: Daily Precipitation\n(final analysis): RhiresD, Tech. rep., Federal Office of Meteorology and\nClimatology MeteoSwiss, Federal Department of Home Affairs FDHA, Switzerland, available at: https:\/\/www.meteoswiss.admin.ch\/content\/dam\/meteoswiss\/de\/service-und-publikationen\/produkt\/raeumliche-daten-niederschlag\/doc\/ProdDoc_RhiresD.pdf (last access: 22 September 2019), 2013b.\u2002a"},{"key":"ref43","doi-asserted-by":"crossref","unstructured":"Mu\u00f1oz-D\u00edaz, D. and Rodrigo, F. S.: Spatio-temporal patterns of seasonal rainfall in Spain (1912-2000) using cluster and principal component analysis: comparison, Ann. Geophys., 22, 1435\u20131448, https:\/\/doi.org\/10.5194\/angeo-22-1435-2004, 2004.\u2002a","DOI":"10.5194\/angeo-22-1435-2004"},{"key":"ref44","unstructured":"Peral, C., Navascu\u00e9s, B., and Ramos, P.: Serie de precipitaci\u00f3n diaria en\nrejilla con fines clim\u00e1ticos., Nota t\u00e9cnica de AEMET 24\/2017, Ministerio de\nAgricultura y Pesca, Alimentaci\u00f3n y Medio Ambiente \u2013 Agencia Estatal de\nMeteorolog\u00eda, C\/ Leonardo Prieto Castro, 8, 28040 Madrid, available at:\nhttp:\/\/www.aemet.es\/documentos\/es\/conocermas\/recursos_en_linea\/publicaciones_y_estudios\/publicaciones\/NT_24_AEMET\/NT_24_AEMET.pdf (last access: 22 September 2019), 2017 (in Spanish).\u2002a"},{"key":"ref45","doi-asserted-by":"crossref","unstructured":"Prein, A.\u00a0F. and Gobiet, A.: Impacts of uncertainties in European gridded\nprecipitation observations on regional climate analysis, Int. J. Climatol., 37, 305\u2013327, https:\/\/doi.org\/10.1002\/joc.4706, 2017.\u2002a","DOI":"10.1002\/joc.4706"},{"key":"ref46","doi-asserted-by":"crossref","unstructured":"Quintana-Segu\u00ed, P., Le\u00a0Moigne, P., Durand, Y., Martin, E., Habets, F.,\nBaillon, M., Canellas, C., Franchisteguy, L., and Morel, S.: Analysis of\nNear-Surface Atmospheric Variables: Validation of the SAFRAN Analysis over\nFrance, J. Appl. Meteorol. Climatol., 47, 92\u2013107,\nhttps:\/\/doi.org\/10.1175\/2007JAMC1636.1, 2008.\u2002a","DOI":"10.1175\/2007JAMC1636.1"},{"key":"ref47","doi-asserted-by":"crossref","unstructured":"Quintana-Segu\u00ed, P., Turco, M., Herrera, S., and Miguez-Macho, G.: Validation of a new SAFRAN-based gridded precipitation product for Spain and comparisons to Spain02 and ERA-Interim, Hydrol. Earth Syst. Sci., 21, 2187\u20132201, https:\/\/doi.org\/10.5194\/hess-21-2187-2017, 2017.\u2002a, b","DOI":"10.5194\/hess-21-2187-2017"},{"key":"ref48","doi-asserted-by":"crossref","unstructured":"Ramos, A.\u00a0M., Trigo, R., Liberato, M.\u00a0L., and Tom\u00e9, R.: Daily Precipitation\nExtreme Events in the Iberian Peninsula and Its Association with Atmospheric\nRivers, J. Hydrometeorol., 16, 579\u2013597,\nhttps:\/\/doi.org\/10.1175\/JHM-D-14-0103.1, 2015.\u2002a","DOI":"10.1175\/JHM-D-14-0103.1"},{"key":"ref49","doi-asserted-by":"crossref","unstructured":"Ramos, C. and Reis, E.: Floods in southern Portugal: their physical and human\ncauses, impacts and human response, in: Mitigation and Adaptation Strategies for Global Change, 7, 267\u2013284, https:\/\/doi.org\/10.1023\/A:1024475529524, 2002.\u2002a","DOI":"10.1023\/A:1024475529524"},{"key":"ref50","doi-asserted-by":"crossref","unstructured":"Rauthe, M., Steiner, H., Riediger, U., Mazurkiewicz, A., and Gratzki, A.: A\nCentral European precipitation climatology \u2013 Part I: Generation and\nvalidation of a high-resolution gridded daily data set (HYRAS),\nMeteorol. Z., 22, 235\u2013256, https:\/\/doi.org\/10.1127\/0941-2948\/2013\/0436, 2013.\u2002a","DOI":"10.1127\/0941-2948\/2013\/0436"},{"key":"ref51","doi-asserted-by":"crossref","unstructured":"Rudolf, B., Hauschild, H., Rueth, W., and Schneider, U.: Terrestrial\nPrecipitation Analysis: Operational Method and Required Density of Point\nMeasurements, in: Global Precipitations and Climate Change, edited by:\nDesbois, M. and D\u00e9salmand, F., Springer Berlin Heidelberg,\nBerlin, Heidelberg, 173\u2013186, 1994. \u2002a","DOI":"10.1007\/978-3-642-79268-7_10"},{"key":"ref52","doi-asserted-by":"crossref","unstructured":"Sun, Q., Miao, C., Duan, Q., Ashouri, H., Sorooshian,\nS., and Hsu, K.-L.: A Review of Global Precipitation Data Sets: Data\nSources, Estimation, and Intercomparisons, Rev. Geophys., 56, 79\u2013107,\nhttps:\/\/doi.org\/10.1002\/2017RG000574, 2018.\u2002a","DOI":"10.1002\/2017RG000574"},{"key":"ref53","doi-asserted-by":"crossref","unstructured":"Trenberth, K.\u00a0E., Dai, A., van\u00a0der Schrier, G., Jones, P.\u00a0D., Barichivich, J., Briffa, K.\u00a0R., and Sheffield, J.: Global warming and changes in drought,\nNat. Clim. Change, 4, 17\u201322, https:\/\/doi.org\/10.1038\/nclimate2067, 2014.\u2002a","DOI":"10.1038\/nclimate2067"},{"key":"ref54","doi-asserted-by":"crossref","unstructured":"Uboldi, F., Lussana, C., and Salvati, M.: Three-dimensional spatial\ninterpolation of surface meteorological observations from high-resolution\nlocal networks, Meteorol. Appl., 15, 331\u2013345,\nhttps:\/\/doi.org\/10.1002\/met.76, 2008.\u2002a","DOI":"10.1002\/met.76"},{"key":"ref55","doi-asserted-by":"crossref","unstructured":"van\u00a0den Besselaar, E. J.\u00a0M., Haylock, M.\u00a0R., van\u00a0der Schrier, G., and\nKlein\u00a0Tank, A. M.\u00a0G.: A European daily high-resolution observational gridded\ndata set of sea level pressure, J. Geophys. Res.-Atmos.,\n116, D11110, https:\/\/doi.org\/10.1029\/2010JD015468, 2011.\u2002a","DOI":"10.1029\/2010JD015468"},{"key":"ref56","doi-asserted-by":"crossref","unstructured":"Vidal, J.-P., Martin, E., Franchisteguy, L., Baillon, M., and Soubeyroux,\nJ.-M.: A 50-year high-resolution atmospheric reanalysis over France with the\nSafran system, Int. J. Climatol., 30, 1627\u20131644,\nhttps:\/\/doi.org\/10.1002\/joc.2003, 2010.\u2002a","DOI":"10.1002\/joc.2003"},{"key":"ref57","doi-asserted-by":"crossref","unstructured":"Wahba, G.: Spline models for Observational Data, in: CBMS-NSF Regional\nConference Series in Applied Mathematics, Society for\nIndustrial and Applied Mathematics, Philadelphia, https:\/\/doi.org\/10.1137\/1.9781611970128, 1990.\u2002a","DOI":"10.1137\/1.9781611970128"},{"key":"ref58","doi-asserted-by":"crossref","unstructured":"Whiteman, C.\u00a0D.: Breakup of Temperature Inversions in Deep Mountain Valleys:\nPart I. Observations, J. Appl. Meteorol., 21, 270\u2013289,\nhttps:\/\/doi.org\/10.1175\/1520-0450(1982)021&amp;lt;0270:BOTIID&amp;gt;2.0.CO;2,\n1982.\u2002a","DOI":"10.1175\/1520-0450(1982)021<0270:BOTIID>2.0.CO;2"},{"key":"ref59","doi-asserted-by":"crossref","unstructured":"Whiteman, C.\u00a0D.: Observations of Thermally Developed Wind Systems in\nMountainous Terrain, American Meteorological Society, Boston, MA, 5\u201342,\nhttps:\/\/doi.org\/10.1007\/978-1-935704-25-6_2, 1990.\u2002a","DOI":"10.1007\/978-1-935704-25-6_2"},{"key":"ref60","doi-asserted-by":"crossref","unstructured":"Whiteman, C.\u00a0D. and McKee, T.\u00a0B.: Breakup of Temperature Inversions in Deep\nMountain Valleys: Part II. Thermodynamic Model, J. 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