{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T06:44:10Z","timestamp":1772261050398,"version":"3.50.1"},"reference-count":70,"publisher":"Copernicus GmbH","issue":"6","license":[{"start":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T00:00:00Z","timestamp":1648771200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["SFRH\/BD\/139227\/2018"],"award-info":[{"award-number":["SFRH\/BD\/139227\/2018"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["LEADING (PTDC\/CTA-MET\/28914\/2017)"],"award-info":[{"award-number":["LEADING (PTDC\/CTA-MET\/28914\/2017)"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia","doi-asserted-by":"publisher","award":["FCT UIDB\/50019\/2020"],"award-info":[{"award-number":["FCT UIDB\/50019\/2020"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geosci. Model Dev."],"abstract":"<jats:p>Abstract. In the recent past, an increase in computation resources led to\nthe development of regional climate models with increasing domains and\nresolutions, spanning larger temporal periods. A good example is the World\nClimate Research Program \u2013 Coordinated Regional Climate Downscaling\nExperiment for the European domain (EURO-CORDEX). This set of regional\nmodels encompasses the entire European continent for a 130-year common period\nuntil the end of the 21st century, while having a 12\u2009km horizontal\nresolution. Such simulations are computationally demanding, while at the\nsame time not always showing added value. This study considers a recently\nproposed metric in order to assess the added value of the EURO-CORDEX\nhindcast (1989\u20132008) and historical (1971\u20132005) simulations for the maximum\nand minimum temperature over the Iberian Peninsula. This approach allows an\nevaluation of the higher against the driving lower resolutions relative to\nthe performance of the whole or partial probability density functions by\nhaving an observational regular gridded dataset as a reference. Overall, the\ngains for maximum temperature are more relevant in comparison to minimum\ntemperature, partially due to known problems derived from the\nsnow\u2013albedo\u2013atmosphere feedback. For more local scales, areas near the coast\nreveal higher added value in comparison with the interior, which displays\nlimited gains and sometimes notable detrimental effects with values around\n\u221230\u2009%. At the same time, the added value for temperature extremes reveals\na similar range, although with larger gains in coastal regions and in\nlocations from the interior for maximum temperature, contrasting with the\nlosses for locations in the interior of the domain for the minimum\ntemperature.<\/jats:p>","DOI":"10.5194\/gmd-15-2653-2022","type":"journal-article","created":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T03:37:06Z","timestamp":1648784226000},"page":"2653-2671","source":"Crossref","is-referenced-by-count":26,"title":["Added value of EURO-CORDEX high-resolution downscaling over the Iberian Peninsula revisited \u2013 Part 2: Max and min temperature"],"prefix":"10.5194","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7489-5113","authenticated-orcid":false,"given":"Jo\u00e3o Ant\u00f3nio Martins","family":"Careto","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9155-5874","authenticated-orcid":false,"given":"Pedro Miguel Matos","family":"Soares","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0259-6827","authenticated-orcid":false,"given":"Rita Margarida","family":"Cardoso","sequence":"additional","affiliation":[]},{"given":"Sixto","family":"Herrera","sequence":"additional","affiliation":[]},{"given":"Jos\u00e9 Manuel","family":"Guti\u00e9rrez","sequence":"additional","affiliation":[]}],"member":"3145","published-online":{"date-parts":[[2022,4,1]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Azorin-Molina, C., Tijm, S., Ebert, E. E., Vicente-Serrano, S. M., and Estrela,\nM. J.: Sea breeze thunderstorms in the eastern Iberian Peninsula.\nNeighborhood verification of HIRLAM and HARMONIE precipitation forecasts,\nAtmos. Res., 139, 101\u2013115,\nhttps:\/\/doi.org\/10.1016\/j.atmosres.2014.01.010, 2014.","DOI":"10.1016\/j.atmosres.2014.01.010"},{"key":"ref2","doi-asserted-by":"crossref","unstructured":"Ban, N., Caillaud, C., Coppola, E., Pichelli, E., Sobolowski, S., Adinolfi,\nM., Ahrens, B., Alias, A., Anders, I., Bastin, S., and Belu\u0161i\u0107, D.:\nThe first multi-model ensemble of regional climate simulations at\nkilometer-scale resolution, Part I: Evaluation of precipitation, Clim.\nDynam., 57, 275\u2013302, https:\/\/doi.org\/10.1007\/s00382-021-05708-w, 2021.","DOI":"10.5194\/egusphere-egu2020-22378"},{"key":"ref3","doi-asserted-by":"crossref","unstructured":"Brands, S., Herrera, S., Fern\u00e1ndez, J., and Guti\u00e9rrez, J. M.: How well\ndo CMIP5 Earth System Models simulate present climate conditions in Europe\nand Africa?, Clim. Dynam., 41, 803\u2013817, https:\/\/doi.org\/10.1007\/s00382-013-1742-8, 2013.","DOI":"10.1007\/s00382-013-1742-8"},{"key":"ref4","doi-asserted-by":"crossref","unstructured":"Cardoso, R. M., and Soares, P. M. M.: Is there added value in the EURO-CORDEX hindcast temperature simulations? Assessing the added value using climate distributions in Europe, Int. J. Climatol., 1\u201316, https:\/\/doi.org\/10.1002\/joc.7472, 2022.","DOI":"10.1002\/joc.7472"},{"key":"ref5","doi-asserted-by":"crossref","unstructured":"Cardoso, R. M., Soares, P. M. M., Miranda, P. M. A., and Belo-Pereira, M.: WRF\nhigh resolution simulation of Iberian mean and extreme precipitation\nclimate, Int. J. Climatol., 33, 2591\u20132608, https:\/\/doi.org\/10.1002\/joc.3616, 2013.","DOI":"10.1002\/joc.3616"},{"key":"ref6","doi-asserted-by":"crossref","unstructured":"Cardoso, R. M., Soares, P. M., Lima, D. 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H., Dethloff, K., Ketelsen, K.,\nHebestadt, I., and Rinke, A.: The HIRHAM regional climate model, Version 5\n(beta), https:\/\/www.dmi.dk\/fileadmin\/Rapporter\/TR\/tr06-17.pdf (last access: 29\nApril 2021), 2007."},{"key":"ref11","doi-asserted-by":"crossref","unstructured":"Ciarlo, J. M., Coppola, E., Fantini, A., Giorgi, F., Gao, X., Tong, Y.,\nGlazer, R. H., Alavez, J. A. T., Sines, T., Pichelli, E., and Raffaele, F.: A\nnew spatially distributed added value index for regional climate models: the\nEURO-CORDEX and the CORDEX-CORE highest resolution ensembles, Clim. 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