000118891 001__ 118891 000118891 005__ 20230519145543.0 000118891 0247_ $$2doi$$a10.1007/s00382-021-06034-x 000118891 0248_ $$2sideral$$a126941 000118891 037__ $$aART-2021-126941 000118891 041__ $$aeng 000118891 100__ $$0(orcid)0000-0003-2892-518X$$aVicente-Serrano, Sergio M. 000118891 245__ $$aDo CMIP models capture long-term observed annual precipitation trends? 000118891 260__ $$c2021 000118891 5060_ $$aAccess copy available to the general public$$fUnrestricted 000118891 5203_ $$aThis study provides a long-term (1891–2014) global assessment of precipitation trends using data from two station-based gridded datasets and climate model outputs evolved through the fifth and sixth phases of the Coupled Model Intercomparison Project (CMIP5 and CMIP6, respectively). Our analysis employs a variety of modeling groups that incorporate low- and high-top level members, with the aim of assessing the possible effects of including a well-resolved stratosphere on the model’s ability to reproduce long-term observed annual precipitation trends. Results demonstrate that only a few regions show statistically significant differences in precipitation trends between observations and models. Nevertheless, this pattern is mostly caused by the strong interannual variability of precipitation in most of the world regions. Thus, statistically significant model-observation differences on trends (1891–2014) are found at the zonal mean scale. The different model groups clearly fail to reproduce the spatial patterns of annual precipitation trends and the regions where stronger increases or decreases are recorded. This study also stresses that there are no significant differences between low- and high-top models in capturing observed precipitation trends, indicating that having a well-resolved stratosphere has a low impact on the accuracy of precipitation projections. 000118891 536__ $$9info:eu-repo/grantAgreement/ES/MICINN-FEDER/CGL2017-82216-R$$9info:eu-repo/grantAgreement/ES/MICINN-FEDER/PCI2019-103631$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-108589RA-I00 000118891 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000118891 590__ $$a4.901$$b2021 000118891 591__ $$aMETEOROLOGY & ATMOSPHERIC SCIENCES$$b24 / 94 = 0.255$$c2021$$dQ2$$eT1 000118891 592__ $$a1.769$$b2021 000118891 593__ $$aAtmospheric Science$$c2021$$dQ1 000118891 594__ $$a8.9$$b2021 000118891 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000118891 700__ $$aGarcía-Herrera, R. 000118891 700__ $$0(orcid)0000-0001-5333-2285$$aPeña-Angulo, D. 000118891 700__ $$aTomas-Burguera, M. 000118891 700__ $$0(orcid)0000-0003-3085-7040$$aDomínguez-Castro, F. 000118891 700__ $$aNoguera, I. 000118891 700__ $$aCalvo, N. 000118891 700__ $$aMurphy, C. 000118891 700__ $$aNieto, R. 000118891 700__ $$aGimeno, L. 000118891 700__ $$aGutierrez, J.M. 000118891 700__ $$aAzorin-Molina, C. 000118891 700__ $$aEl Kenawy, A. 000118891 773__ $$g58 (2021), 2825–2842$$pClim. dyn.$$tCLIMATE DYNAMICS$$x0930-7575 000118891 8564_ $$s7618875$$uhttps://zaguan.unizar.es/record/118891/files/texto_completo.pdf$$yVersión publicada 000118891 8564_ $$s1937465$$uhttps://zaguan.unizar.es/record/118891/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000118891 909CO $$ooai:zaguan.unizar.es:118891$$particulos$$pdriver 000118891 951__ $$a2023-05-18-15:42:09 000118891 980__ $$aARTICLE