{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,16]],"date-time":"2026-06-16T02:55:28Z","timestamp":1781578528184,"version":"3.54.5"},"reference-count":36,"publisher":"American Meteorological Society","issue":"7","license":[{"start":{"date-parts":[[2025,7,1]],"date-time":"2025-07-01T00:00:00Z","timestamp":1751328000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.ametsoc.org\/PUBSReuseLicenses"}],"funder":[{"name":"Grantov\u00e1 Agentura Cesk\u00e9 Republiky","award":["GA21-07954S"],"award-info":[{"award-number":["GA21-07954S"]}]},{"name":"Ministerstvo \u0160kolstv\u00ed, Ml\u00e1de\u017ee a Telov\u00fdchovy","award":["CZ.02.01.01\/00\/22_008\/0004605"],"award-info":[{"award-number":["CZ.02.01.01\/00\/22_008\/0004605"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n<jats:p>Understanding long-term changes in precipitation is crucial for climate research, as it plays a key role in shaping water availability, ecosystem stability, and the occurrence of extreme weather phenomena. However, it is a well-established fact that different data types (station, gridded, and reanalyses) can yield varied results in statistical analyses of extremes and trends. This study investigates the long-term changes in precipitation characteristics across various data sources, focusing on the European land area. We analyze station data from the European Climate Assessment and Dataset (ECA&amp;D) project. Station data interpolated onto a regular grid are represented by the gridded version of the ECA dataset [European Daily High-Resolution Observational Gridded Dataset (E-OBS)] and the Rainfall Estimates on a Gridded Network (REGEN) and the reanalyses data include NCEP\/NCAR, the Twentieth Century Reanalysis (20CR) dataset, and the high-resolution fifth generation ECMWF atmospheric reanalysis (ERA5). The objective is to explore the seasonal trends in precipitation total amounts, intensity, and probability from 1961 to 2010, with a focus on winter and summer. The trends of winter precipitation totals and probabilities show a substantial north\u2013south gradient, with positive trends in the north. All data sources underestimate the spatial extent of positive trends and overestimate the spatial extent of negative trends compared to ECA&amp;D. Precipitation intensity trends lack clear geographic patterns, but statistically significant positive trends prevail in northeastern Europe. In general, a similar trend pattern is evident within the ECA&amp;D, E-OBS, and ERA5 datasets. Conversely, the NCEP\/NCAR and 20CR reanalyses exhibit the most significant disparities in trends for all precipitation characteristics.<\/jats:p>","DOI":"10.1175\/jhm-d-24-0114.1","type":"journal-article","created":{"date-parts":[[2025,6,27]],"date-time":"2025-06-27T07:40:21Z","timestamp":1751010021000},"page":"1003-1015","source":"Crossref","is-referenced-by-count":1,"title":["A Multidataset Analysis of Precipitation Trends in Europe"],"prefix":"10.1175","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6431-4629","authenticated-orcid":true,"given":"Romana","family":"Beranov\u00e1","sequence":"first","affiliation":[{"name":"Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czechia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Radan","family":"Huth","sequence":"additional","affiliation":[{"name":"Institute of Atmospheric Physics, Czech Academy of Sciences, Prague, Czechia"},{"name":"Faculty of Science, Charles University, Prague, Czechia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V\u00e1clav","family":"V\u00edt","sequence":"additional","affiliation":[{"name":"Research Institute for Soil and Water Conservation, Prague, Czechia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"12","reference":[{"key":"bib1","series-title":"J. Geophys. Res.","first-page":"D11111","article-title":"Can climate trends be calculated from reanalysis data?","volume":"109","author":"Bengtsson, L.","year":"2004","unstructured":"Bengtsson, L., S. Hagemann, and K. I. Hodges, 2004: \nCan climate trends be calculated from reanalysis data? J. Geophys. Res., 109, D11111, https:\/\/doi.org\/10.1029\/2004JD004536."},{"key":"bib2","series-title":"Int. J. Climatol.","first-page":"e596","article-title":"Trends of precipitation characteristics in the Czech Republic over 1961\u20132012, their spatial patterns and links to temperature and the North Atlantic Oscillation","volume":"38","author":"Beranov\u00e1, R.","year":"2018","unstructured":"Beranov\u00e1, R., and J. Kysel\u00fd, 2018: \nTrends of precipitation characteristics in the Czech Republic over 1961\u20132012, their spatial patterns and links to temperature and the North Atlantic Oscillation. Int. J. Climatol., 38, e596\u2013e606, https:\/\/doi.org\/10.1002\/joc.5392."},{"key":"bib3","series-title":"Atmos. Meas. Tech.","first-page":"1079","article-title":"Assessment of snowfall accumulation underestimation by tipping bucket gauges in the Spanish operational network","volume":"10","author":"Buis\u00e1n, S. T.","year":"2017","unstructured":"Buis\u00e1n, S. T., M. E. Earle, J. L. Collado, J. Kochendorfer, J. Alastru\u00e9, M. Wolff, C. D. Smith, and J. I. L\u00f3pez-Moreno, 2017: \nAssessment of snowfall accumulation underestimation by tipping bucket gauges in the Spanish operational network. Atmos. Meas. Tech., 10, 1079\u20131091, https:\/\/doi.org\/10.5194\/amt-10-1079-2017."},{"key":"bib4","series-title":"Water Environ. J.","first-page":"433","article-title":"Long\u2010term precipitation trend analysis in Europe and in the Mediterranean basin","volume":"32","author":"Caloiero, T.","year":"2018","unstructured":"Caloiero, T., P. Caloiero, and F. Frustaci, 2018: \nLong\u2010term precipitation trend analysis in Europe and in the Mediterranean basin. Water Environ. J., 32, 433\u2013445, https:\/\/doi.org\/10.1111\/wej.12346."},{"key":"bib5","series-title":"Hydrol. Earth Syst. Sci.","first-page":"709","article-title":"Variability of extreme precipitation over Europe and its relationships with teleconnection patterns","volume":"18","author":"Casanueva, A.","year":"2014","unstructured":"Casanueva, A., C. Rodr\u00edguez-Puebla, M. D. Fr\u00edas, and N. Gonz\u00e1lez-Reviriego, 2014: \nVariability of extreme precipitation over Europe and its relationships with teleconnection patterns. Hydrol. Earth Syst. Sci., 18, 709\u2013725, https:\/\/doi.org\/10.5194\/hess-18-709-2014."},{"key":"bib6","series-title":"Quart. J. Roy. Meteor. Soc.","first-page":"1","article-title":"The Twentieth Century Reanalysis project","volume":"137","author":"Compo, G. P.","year":"2011","unstructured":"Compo, G. P., and Coauthors, 2011: \nThe Twentieth Century Reanalysis project. Quart. J. Roy. Meteor. Soc., 137, 1\u201328, https:\/\/doi.org\/10.1002\/qj.776."},{"key":"bib7","series-title":"Hydrol. Earth Syst. Sci.","first-page":"919","article-title":"Rainfall Estimates on a Gridded Network (REGEN)\u2014A global land-based gridded dataset of daily precipitation from 1950 to 2016","volume":"24","author":"Contractor, S.","year":"2020","unstructured":"Contractor, S., and Coauthors, 2020: \nRainfall Estimates on a Gridded Network (REGEN)\u2014A global land-based gridded dataset of daily precipitation from 1950 to 2016. Hydrol. Earth Syst. Sci., 24, 919\u2013943, https:\/\/doi.org\/10.5194\/hess-24-919-2020."},{"key":"bib8","series-title":"J. Geophys. Res. Atmos.","first-page":"9391","article-title":"An ensemble version of the E\u2010OBS temperature and precipitation data sets","volume":"123","author":"Cornes, R. C.","year":"2018","unstructured":"Cornes, R. C., G. van der Schrier, E. J. M. van den Besselaar, and P. D. Jones, 2018: \nAn ensemble version of the E\u2010OBS temperature and precipitation data sets. J. Geophys. Res. Atmos., 123, 9391\u20139409, https:\/\/doi.org\/10.1029\/2017JD028200."},{"key":"bib9","series-title":"Remote Sens.","first-page":"2025","article-title":"Evaluation of current trends of climatic actions in Europe based on observations and regional reanalysis","volume":"13","author":"Croce, P.","year":"2021","unstructured":"Croce, P., P. Formichi, and F. Landi, 2021: \nEvaluation of current trends of climatic actions in Europe based on observations and regional reanalysis. Remote Sens., 13, 2025, https:\/\/doi.org\/10.3390\/rs13112025."},{"key":"bib10","series-title":"Climate Dyn.","first-page":"4027","article-title":"Hydroclimatic trends during 1950\u20132018 over global land","volume":"56","author":"Dai, A.","year":"2021","unstructured":"Dai, A., 2021: \nHydroclimatic trends during 1950\u20132018 over global land. Climate Dyn., 56, 4027\u20134049, https:\/\/doi.org\/10.1007\/s00382-021-05684-1."},{"key":"bib11","series-title":"J. Geophys. Res. Atmos.","first-page":"11\u2009174","article-title":"Temperature and precipitation extremes in century-long gridded observations, reanalyses, and atmospheric model simulations","volume":"121","author":"Donat, M. G.","year":"2016","unstructured":"Donat, M. G., L. V. Alexander, N. Herold, and A. J. Dittus, 2016: \nTemperature and precipitation extremes in century-long gridded observations, reanalyses, and atmospheric model simulations. J. Geophys. Res. Atmos., 121, 11\u2009174\u201311\u2009189, https:\/\/doi.org\/10.1002\/2016JD025480."},{"key":"bib12","series-title":"Atmos. Res.","first-page":"106606","article-title":"Evaluation of ERA5 and ERA5-Land reanalysis precipitation datasets over Spain (1951\u20132020)","volume":"284","author":"Gomis-Cebolla, J.","year":"2023","unstructured":"Gomis-Cebolla, J., V. Rattayova, S. Salazar-Gal\u00e1n, and F. Franc\u00e9s, 2023: \nEvaluation of ERA5 and ERA5-Land reanalysis precipitation datasets over Spain (1951\u20132020). Atmos. Res., 284, 106606, https:\/\/doi.org\/10.1016\/j.atmosres.2023.106606."},{"key":"bib13","series-title":"J. Hydrol.","first-page":"1205","article-title":"An assessment of differences in gridded precipitation datasets in complex terrain","volume":"556","author":"Henn, B.","year":"2018","unstructured":"Henn, B., A. J. Newman, B. Livneh, C. Daly, and J. D. Lundquist, 2018: \nAn assessment of differences in gridded precipitation datasets in complex terrain. J. Hydrol., 556, 1205\u20131219, https:\/\/doi.org\/10.1016\/j.jhydrol.2017.03.008."},{"key":"bib14","series-title":"Quart. J. Roy. Meteor. Soc.","first-page":"1999","article-title":"The ERA5 global reanalysis","volume":"146","author":"Hersbach, H.","year":"2020","unstructured":"Hersbach, H., and Coauthors, 2020: \nThe ERA5 global reanalysis. Quart. J. Roy. Meteor. Soc., 146, 1999\u20132049, https:\/\/doi.org\/10.1002\/qj.3803."},{"key":"bib15","series-title":"J. Geophys. Res.","first-page":"D21101","article-title":"Testing E-OBS European high-resolution gridded data set of daily precipitation and surface temperature","volume":"114","author":"Hofstra, N.","year":"2009","unstructured":"Hofstra, N., M. Haylock, M. New, and P. D. Jones, 2009: \nTesting E-OBS European high-resolution gridded data set of daily precipitation and surface temperature. J. Geophys. Res., 114, D21101, https:\/\/doi.org\/10.1029\/2009JD011799."},{"key":"bib16","series-title":"Climate Dyn.","first-page":"841","article-title":"The influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data","volume":"35","author":"Hofstra, N.","year":"2010","unstructured":"Hofstra, N., M. New, and C. McSweeney, 2010: \nThe influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data. Climate Dyn., 35, 841\u2013858, https:\/\/doi.org\/10.1007\/s00382-009-0698-1."},{"key":"bib17","series-title":"J. Geophys. Res. Atmos.","first-page":"e2020JD033254","article-title":"Gridded versus station temperatures: Time evolution of relationships with atmospheric circulation","volume":"125","author":"Hyn\u010dica, M.","year":"2020","unstructured":"Hyn\u010dica, M., and R. Huth, 2020: \nGridded versus station temperatures: Time evolution of relationships with atmospheric circulation. J. Geophys. Res. Atmos., 125, e2020JD033254, https:\/\/doi.org\/10.1029\/2020JD033254."},{"key":"bib18","series-title":"J. Geophys. Res.","first-page":"D05127","article-title":"Hemispheric and large-scale land-surface air temperature variations: An extensive revision and an update to 2010","volume":"117","author":"Jones, P. D.","year":"2012","unstructured":"Jones, P. D., D. H. Lister, T. J. Osborn, C. Harpham, M. Salmon, and C. P. Morice, 2012: \nHemispheric and large-scale land-surface air temperature variations: An extensive revision and an update to 2010. J. Geophys. Res., 117, D05127, https:\/\/doi.org\/10.1029\/2011JD017139."},{"key":"bib19","series-title":"Bull. Amer. Meteor. Soc.","first-page":"437","article-title":"The NCEP\/NCAR 40-year reanalysis project","volume":"77","author":"Kalnay, E.","year":"1996","unstructured":"Kalnay, E., and Coauthors, 1996: \nThe NCEP\/NCAR 40-year reanalysis project. Bull. Amer. Meteor. Soc., 77, 437\u2013471, https:\/\/doi.org\/10.1175\/1520-0477(1996)077<0437:TNYRP>2.0.CO;2."},{"key":"bib20","series-title":"Int. J. Climatol.","first-page":"1441","article-title":"Daily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment","volume":"22","author":"Klein Tank, A. M. G.","year":"2002","unstructured":"Klein Tank, A. M. G., and Coauthors, 2002: \nDaily dataset of 20th-century surface air temperature and precipitation series for the European Climate Assessment. Int. J. Climatol., 22, 1441\u20131453, https:\/\/doi.org\/10.1002\/joc.773."},{"key":"bib21","series-title":"Theor. Appl. Climatol.","first-page":"1305","article-title":"Temperature trends in Europe: Comparison of different data sources","volume":"139","author":"Krauskopf, T.","year":"2020","unstructured":"Krauskopf, T., and R. Huth, 2020: \nTemperature trends in Europe: Comparison of different data sources. Theor. Appl. Climatol., 139, 1305\u20131316, https:\/\/doi.org\/10.1007\/s00704-019-03038-w."},{"key":"bib22","series-title":"J. Geophys. Res.","first-page":"D23118","article-title":"A critical remark on the applicability of E-OBS European gridded temperature data set for validating control climate simulations","volume":"115","author":"Kysel\u00fd, J.","year":"2010","unstructured":"Kysel\u00fd, J., and E. Plavcov\u00e1, 2010: \nA critical remark on the applicability of E-OBS European gridded temperature data set for validating control climate simulations. J. Geophys. Res., 115, D23118, https:\/\/doi.org\/10.1029\/2010JD014123."},{"key":"bib23","series-title":"Quart. J. Roy. Meteor. Soc.","first-page":"3152","article-title":"An evaluation of ERA5 precipitation for climate monitoring","volume":"148","author":"Lavers, D. A.","year":"2022","unstructured":"Lavers, D. A., A. Simmons, F. Vamborg, and M. J. Rodwell, 2022: \nAn evaluation of ERA5 precipitation for climate monitoring. Quart. J. Roy. Meteor. Soc., 148, 3152\u20133165, https:\/\/doi.org\/10.1002\/qj.4351."},{"key":"bib24","series-title":"Int. J. Climatol.","first-page":"E2420","article-title":"Characterizing spatiotemporal rainfall changes in 1960\u20132019 for continental Australia","volume":"41","author":"Liu, D. L.","year":"2021","unstructured":"Liu, D. L., J. Teng, F. Ji, M. R. Anwar, P. Feng, B. Wang, L. Li, and C. Waters, 2021: \nCharacterizing spatiotemporal rainfall changes in 1960\u20132019 for continental Australia. Int. J. Climatol., 41, E2420\u2013E2444, https:\/\/doi.org\/10.1002\/joc.6855."},{"key":"bib25","series-title":"Atmos. Sci. Lett.","first-page":"e1239","article-title":"Evaluating long-term trends in annual precipitation: A temporal consistency analysis of ERA5 data in the Alps and Italy","volume":"25","author":"Lussana, C.","year":"2024","unstructured":"Lussana, C., F. Cavalleri, M. Brunetti, V. Manara, and M. Maugeri, 2024: \nEvaluating long-term trends in annual precipitation: A temporal consistency analysis of ERA5 data in the Alps and Italy. Atmos. Sci. Lett., 25, e1239, https:\/\/doi.org\/10.1002\/asl.1239."},{"key":"bib26","series-title":"Int. J. Climatol.","first-page":"3878","article-title":"The accuracy of climate variability and trends across Arctic Fennoscandia in four reanalyses","volume":"38","author":"Marshall, G. J.","year":"2018","unstructured":"Marshall, G. J., S. Kivinen, K. Jylh\u00e4, R. M. Vignols, and W. G. Rees, 2018: \nThe accuracy of climate variability and trends across Arctic Fennoscandia in four reanalyses. Int. J. Climatol., 38, 3878\u20133895, https:\/\/doi.org\/10.1002\/joc.5541."},{"key":"bib27","series-title":"Int. J. Climatol.","first-page":"3458","article-title":"Blind use of reanalysis data: Apparent trends in Madden\u2013Julian oscillation activity driven by observational changes","volume":"36","author":"Oliver, E. C. J.","year":"2016","unstructured":"Oliver, E. C. J., 2016: \nBlind use of reanalysis data: Apparent trends in Madden\u2013Julian oscillation activity driven by observational changes. Int. J. Climatol., 36, 3458\u20133468, https:\/\/doi.org\/10.1002\/joc.4568."},{"key":"bib28","series-title":"Atmosphere","first-page":"87","article-title":"Compound temperature and precipitation events in the Czech Republic: Differences of stratiform versus convective precipitation in station and reanalysis data","volume":"12","author":"Rulfov\u00e1, Z.","year":"2021","unstructured":"Rulfov\u00e1, Z., R. Beranov\u00e1, and E. Plavcov\u00e1, 2021: \nCompound temperature and precipitation events in the Czech Republic: Differences of stratiform versus convective precipitation in station and reanalysis data. Atmosphere, 12, 87, https:\/\/doi.org\/10.3390\/atmos12010087."},{"key":"bib29","series-title":"J. Amer. Stat. Assoc.","first-page":"1379","article-title":"Estimates of the regression coefficient based on Kendall\u2019s","volume":"63","author":"Sen, P. K.","year":"1968","unstructured":"Sen, P. K., 1968: \nEstimates of the regression coefficient based on Kendall\u2019s. J. Amer. Stat. Assoc., 63, 1379\u20131389, https:\/\/doi.org\/10.1080\/01621459.1968.10480934."},{"key":"bib30","series-title":"J. Geophys. Res.","first-page":"D24115","article-title":"Comparison of trends and low-frequency variability in CRU, ERA-40, and NCEP\/NCAR analyses of surface air temperature","volume":"109","author":"Simmons, A. J.","year":"2004","unstructured":"Simmons, A. J., and Coauthors, 2004: \nComparison of trends and low-frequency variability in CRU, ERA-40, and NCEP\/NCAR analyses of surface air temperature. J. Geophys. Res., 109, D24115, https:\/\/doi.org\/10.1029\/2004JD005306."},{"key":"bib31","series-title":"J. Climate","first-page":"1417","article-title":"An evaluation of the performance of the Twentieth Century Reanalysis version 3","volume":"34","author":"Slivinski, L. C.","year":"2021","unstructured":"Slivinski, L. C., and Coauthors, 2021: \nAn evaluation of the performance of the Twentieth Century Reanalysis version 3. J. Climate, 34, 1417\u20131438, https:\/\/doi.org\/10.1175\/JCLI-D-20-0505.1."},{"key":"bib32","series-title":"Theor. Appl. Climatol.","first-page":"829","article-title":"Scale dependency of regional climate modeling of current and future climate extremes in Germany","volume":"134","author":"T\u00f6lle, M. H.","year":"2018","unstructured":"T\u00f6lle, M. H., L. Schefczyk, and O. Gutjahr, 2018: \nScale dependency of regional climate modeling of current and future climate extremes in Germany. Theor. Appl. Climatol., 134, 829\u2013848, https:\/\/doi.org\/10.1007\/s00704-017-2303-6."},{"key":"bib33","series-title":"Int. J. Climatol.","first-page":"2682","article-title":"Trends in European precipitation extremes over 1951\u20132010","volume":"33","author":"van den Besselaar, E. J. M.","year":"2013","unstructured":"van den Besselaar, E. J. M., A. M. G. Klein Tank, and T. A. Buishand, 2013: \nTrends in European precipitation extremes over 1951\u20132010. Int. J. Climatol., 33, 2682\u20132689, https:\/\/doi.org\/10.1002\/joc.3619."},{"key":"bib34","series-title":"J. Geophys. Res. Atmos.","first-page":"5120","article-title":"Monitoring European average temperature based on the E-OBS gridded data set","volume":"118","author":"van der Schrier, G.","year":"2013","unstructured":"van der Schrier, G., E. J. M. Van Den Besselaar, A. M. G. Klein Tank, and G. Verver, 2013: \nMonitoring European average temperature based on the E-OBS gridded data set. J. Geophys. Res. Atmos., 118, 5120\u20135135, https:\/\/doi.org\/10.1002\/jgrd.50444."},{"key":"bib35","series-title":"Climate Dyn.","first-page":"1","article-title":"SST and circulation trend biases cause an underestimation of European precipitation trends","volume":"40","author":"van Haren, R.","year":"2013","unstructured":"van Haren, R., G. J. van Oldenborgh, G. Lenderink, M. Collins, and W. Hazeleger, 2013: \nSST and circulation trend biases cause an underestimation of European precipitation trends. Climate Dyn., 40, 1\u201320, https:\/\/doi.org\/10.1007\/s00382-012-1401-5."},{"key":"bib36","series-title":"Int. J. Climatol.","first-page":"679","article-title":"Homogeneity of 20th century European daily temperature and precipitation series","volume":"23","author":"Wijngaard, J. B.","year":"2003","unstructured":"Wijngaard, J. B., A. M. G. Klein Tank, and G. P. K\u00f6nnen, 2003: \nHomogeneity of 20th century European daily temperature and precipitation series. Int. J. 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