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All users of data uploaded on the Climate Data Store (CDS) must provide clear and visible attribution to the Copernicus programme and are asked to cite and reference the dataset provider. Please refer to How to acknowledge, cite and reference data published on the Climate Data Store for complete details.

In addition, whenever you publish research or applications based on these grid data products, you should include following citations:

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CNR-ISAC (http://www.isac.cnr.it)

Universit^{Image Removed}à degli Studi di Milano (http://www.unimi.it/)

Arpae^{Image Removed} Emilia Romagna (https://www.arpae.it/)

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Settore Idrologico Regionale (S.I.R.) della regione Toscana (http://www.sir.toscana.it)

ARPAL-Cfmi (https://www.arpal.govliguria.it/^{Image Removed}/component/flexicontent/56-meteo/1460-chi-siamo-cfmi.html)

ARPA Lombardia (www.arpalombardia.it/meteo)

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ARPA Trentino (https://www.meteotrentino.it/)

References

Auer I., Böhm R., Jurkovic A., Orlik A., Potzmann R., Schöner W., ... Mercalli L. (2005). A new instrumental precipitation dataset for the Greater Alpine Region for the period 1800–2002. Int. J. Climatol., 25, 139–166. http://doi.org/10.1002/joc.1135

Auer, I., Böhm, R., Jurkovic, A., Lipa, W., Orlik, A., Potzmann, R., … Nieplova, E. (2007). HISTALP - historical instrumental climatological surface time series of the Greater Alpine Region. Int. J. Climatol., 27 (July 2006), 17–46. http://doi.org/10.1002/joc.1377

Begueria, S., Vicente-Serrano, S. M., Tomas-Burguera, M., & Maneta, M. (2016). Bias in the variance of gridded data sets leads to misleading conclusions about changes in climate variability. Int. J. Climatol., 36(9), 3413–3422. http://doi.org/10.1002/joc.4561+_

Benjamini, Y., Hochberg, Y. (1995). Controlling the false discovery rate: A practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B (Methodological), 57(1), 289–300. https://rss.onlinelibrary.wiley.com/doi/10.1111/j.2517-6161.1995.tb02031.x+_

Caussinus, H. and Mestre, O. (2004). Detection and correction of artificial shifts in climate series, Journal of the Royal Statistical Society: Series C (Applied Statistics) 53(3): 405-425.

Chimani, B., Böhm, R., Matulla, C., & Ganekind, M. (2011). Development of a longterm dataset of solid/liquid precipitation. Advances in Science and Research, 6, 39–43. http://doi.org/10.5194/asr-6-39-2011

Chimani, B., Matulla, C., Böhm, R., & Hofstätter, M. (2013). A new high resolution absolute temperature grid for the Greater Alpine Region back to 1780. Int. J. Climatol., 33, 2129–2141. http://doi.org/10.1002/joc.3574+_

Craddock J.M. (1979). Methods of comparing annual rainfall records for climatic purposes. Weather 34, 332–346

Efthymiadis, D., Jones, P. D., Briffa, K. R., Auer, I., Böhm, R., Schönder, W., … Schöner, W. (2006). Construction of a 10-min gridded precipitation dataset for the Greater Alpine Region 1800-2003. J. Geophys. Res., 111(D1), D01105. http://doi.org/10.1029/2005JD006120+_

Frank, D., & Esper, J. (2005). Temperature reconstruction and comparisons with instrumental data from a tree-ring network for the European Alps. Int. J. Climatol., 25, 1437–1454. http://doi.org/10.1002/joc.1210+_

Frei, C. (2014). Interpolation of temperature in a mountainous region using nonlinear profiles and non-Euclidean distances. Int. J. Climatol., 34, 1585–1605. http://doi.org/10.1002/joc.3786

Frei, C., & Schär, C. 1998. A precipitation climatology of the Alps from high-resolution rain-gauge observations. Int. J. Climatol., 18:873-900.

Hofstra, N., New, M., & McSweeney, C. (2010). The influence of interpolation and station network density on the distributions and trends of climate variables in gridded daily data. Climate Dyn., 35, 841–858.

Isotta, F. A. and co-authors. 2014. The climate of daily precipitation in the Alps: development and analysis of a high‐resolution grid dataset from pan‐Alpine rain‐gauge data. Int. J. Climatol., 34(5), 1657-1675.

Isotta, F. A., Begert, M., & Frei, C. (2019). Long‐Term Consistent Monthly Temperature and Precipitation Grid Data Sets for Switzerland Over the Past 150 Years Journal of Geophysical Research : Atmospheres. J. Geophys. Res. Atmos., 123, 1–17. http://doi.org/10.1029/2018JD029910+_

Kendall, M. G. (1975). Rank Correlation Methods (4th ed.). London: Charles Griffin.

Kaplan, A., Kushnir, Y., Cane, M. A., & Blumenthal, M. B. (1997). Reduced space optimal analysis for historical data sets: 136 years of Atlantic sea surface temperatures. J. Geophys. Res., 102, 27835–27860.

Kittel, T. G. F., Rosenbloom, N., States, U., Survey, G., & Daly, C. (2004). VEMAP Phase 2 bioclimatic database . I . Gridded historical ( 20th century ) climate for modeling ecosystem dynamics across the conterminous USA. Clim. Res., 27(November), 151–170. http://doi.org/10.3354/cr027151+_

_Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 13(3), 245–259. https://doi.org/10.2307/1907187_

Masson, D., & Frei, C. (2016). Long-term variations and trends of mesoscale precipitation in the Alps: Recalculation and update for 1901-2008. Int. J. Climatol., 36, 492–500. http://doi.org/10.1002/joc.4343+_^{Image Modified}

Mestre, O., Domonkos, P., Picard, F., Auer, I., Robin, S., Lebarbier, E., Böhm, R., Aguilar, E., Guijarro, J.A., Vertacnik, G., Klancar, M., Dubuisson, B., & Stepanek, P. (2013). HOMER: a homogenization software – methods and applications, Időjárás., 117(1), 47-67

Neff, E.L., (1977). How much rain does a rain gage gage?. J. Hydrology,35,213-220.
R Core Team. (2012). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/^{Image Modified}. Retrieved from www.r-project.org

Schiemann, R., Liniger, M., & Frei, C. (2010). Reduced-space optimal interpolation of daily rain-gauge precipitation in Switzerland. J. Geophys. Res., 115. http://doi.org/10.1029/2009JD013047+_

Schmidli, J., Frei, C., & Schär, C. (2001). Reconstruction of mesoscale precipitation fields from sparse observations in complex terrain. J. Climate, 14, 3289–3306.

Schmidli, J., Schmutz, C., Frei, C., Wanner, H., & Schär, C. (2002). Mesoscale precipitation in the region of the European Alps during the 20th century. Int. J. Climatol., 22(May), 1049–1074. http://doi.org/10.1002/joc.769+_

Schneider, T. (2001). Analysis of incomplete climate data: Estimation of mean values and covariance matrices and imputing of missing values. J. Climate, 14, 853–871.

_Sen, P. K. (1968). Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, 63(324), 1379–1389. https://doi.org/10.2307/2285891_

Sevruk, B. (1985). Systematischer Niederschlagsmessfehler in der Schweiz. In: Der Niederschlag in der Schweiz. (Ed. Sevruk B.), Beiträge zur Geologie der Schweiz - Hydrologie, 31,65-75.

Theil, H. (1950). A rank‐ invariant method of linear and polynomial regression analysis. In Proceedings of the Royal Netherlands Academy of Sciences, 53, part I: 386‐392, part II: 521‐525, Part III: 1397‐1412.

van der Schrier, G., van den Besselaar, E. J. M., Klein Tank, A. M. G., & Verver, G. (2013). Monitoring European average temperature based on the E-OBS gridded data set. Journal of Geophysical Research: Atmospheres, 118(11), 5120–5135. http://doi.org/10.1002/jgrd.50444

Venema, V. K. C., Mestre, O., Aguilar, E., Auer, I., Guijarro, J. A., Domonkos, P., … Szentimrey, T. (2012). Benchmarking homogenization algorithms for monthly data. Clim. Past, 8, 89–115. http://doi.org/10.5194/cp-8-89-2012+_

Yang, D.Q., E. Elomaa, A. Tuominen, A. Aaltonen, B. Goodison, T. Gunther, V. Golubev, B. Sevruk, H. Madsen, & J. Milkovic (1999). Wind-induced precipitation undercatch of the Hellmann gauges. Nordic Hydrol., 30,57-80.

 Copernicus Climate Change Service

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