Sensitivity of precipitation estimates to a choice of database and sampling in observations as well as of a parameterization scheme in a model is discussed. Comparison is performed for time series and spatial patterns. Mean annual and seasonal differences between two databases for the period of 1965–1995 years is about 2–4 and 4–7 mm correspondingly. Discrepancy in spatial patterns of precipitation is mostly applied for the Carpathian region, where it achieves the value of about 7 mm. Estimates of a trend in precipitation vary depending on a sampling period and may even change the sign. This suggests that a term like the long-term variability is preferable instead of the trend. Model simulations show that different parameterization schemes provide similar large scale patterns and values of cloud and rain content, but are considerably different in meso scale structures for orders of 100 km and less.
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References
Adam JC and DP Lettenmaier (2003) Adjustment of global gridded precipitation for systematic bias. J Geophys Res 108:4257
Auer I et al. (2005) A new instrumental precipitation dataset in the greater alpine region for the period 1800–2002. Int J Climatol 24:139–166
Bromwich DH and RL Fogt (2004) Strong trends in the skill of the ERA-40 and NCEP—NCAR reanalyses in the high and middle latitudes of the Southern Hemisphere, 1958–2001. J Climate 17:4603–4619
Doutriaux-Boucher M and J Quaas (2004) Evaluation of cloud thermodynamic phase parameterizations in the LMDZ GCM by using POLDER satellite data. Geophys Res Lett 31:L06126
Girs AA (1971) Long-term fluctuations of the atmospheric circulation and hydrometeorological forecasts. Hydrometeoizdat, Leningrad
Ivanov S and J Palamarchuk (2007) Fine-scale precipitation structure of a cold front and the problem of the representativeness error. Adv Geosci 10:3–8
Jones PD and A Moberg (2003) Hemispheric and large-scale surface air temperature variations: An extensive revision and update to 2001. J Climate 16:206–223
Kistler R et al. (2001) The NCEP-NCAR 50-year reanalysis: Month means CD-ROM and documentation. Bull Am Meteorol Soc 82:247–268
Legates DR and CJ Willmott (1990) Mean seasonal and spatial variability in gauge-corrected global precipitation. Int J Climatol 10:111–127
Le Treut, HR Somerville, U Cubasch, Y Ding, C Mauritzen, A Mokssit, T Peterson and M Prather (2007) Historical Overview of Climate Change. In: Climate Change 2007: The Physical Science Basis. Cambridge University Press, Cambridge, UK/New York
Mekis E and WD Hogg (1999) Rehabilitation and analysis of Canadian daily precipitation time series. Atmos Ocean 37:53–85
Monahan AH, L Pandolfo and JC Fyfe (2001) The preferred structure of variability of the Northern Hemisphere atmospheric circulation. Geophys Res Lett 28:1019–1022
Parker DE (2006) A demonstration that large-scale warming is not urban. J Climate 19:2882–2895
Santer BD et al. (1999) Uncertainties in observationally based estimates of temperature change in the free atmosphere. J Geophys Res 104:6305–6333
Simmons AJ et al. (2004) Comparison of trends and low-frequency variability in CRU, ERA-40 and NCEP/NCAR analyses of surface air temperature. J Geophys Res 109:D11111
Trenberth KE (1990) Recent observed interdecadal climate changes in the Northern Hemisphere. Bull Am Meteorol Soc 71:988–993
Trenberth KE et al. (2003) The changing character of precipitation. Bull Am Meteorol Soc 84:1205–1217
Trenberth KE, DP Stepaniak and L Smith (2005) Interannual variability of the patterns of atmospheric mass distribution. J Climate 18:2812–2825
Trenberth KE, PD Jones, P Ambenje, R Bojariu, D Easterling, A Klein Tank, D Parker, F Rahimzadeh, JA Renwick, M Rusticucci, B Soden and P Zhai (2007) Observations: Surface and Atmospheric Climate Change. In: Climate Change 2007: The Physical Science Basis. Cambridge University Press, Cambridge, UK/New York
Weusthoff T and Hauf T (2008) The life cycle of convective-shower cells under post-frontal conditions. Q J R Meteorol Soc 134, 633:841–857
Yang D and T Ohata (2001) A bias corrected Siberian regional precipitation climatology. J Hydrometeorol 2:122–139
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Ivanov, S., Palamarchuk, J., Pyshniak, D. (2009). Precipitation Statistics in Ukraine: Sensitivity to Informational Sources. In: Groisman, P.Y., Ivanov, S.V. (eds) Regional Aspects of Climate-Terrestrial-Hydrologic Interactions in Non-boreal Eastern Europe. NATO Science for Peace and Security Series C: Environmental Security. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-2283-7_4
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