0637016 - ÚFA 2026 RIV US eng J - Článek v odborném periodiku
Beranová, Romana - Huth, Radan - Vít, V.
A multi-dataset analysis of precipitation trends in Europe.
Journal of Hydrometeorology. Roč. 26, č. 7 (2025), s. 1003-1015. ISSN 1525-755X. E-ISSN 1525-7541
Institucionální podpora: RVO:68378289
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 3.1, rok: 2023 ; AIS: 1.218, rok: 2023
Web výsledku:
https://journals.ametsoc.org/view/journals/hydr/aop/JHM-D-24-0114.1/JHM-D-24-0114.1.xmlDOI: https://doi.org/10.1175/JHM-D-24-0114.1

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, 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 analyse station data from the European Climate Assessment & Dataset project (ECA&D). Station data interpolated onto a regular grid are represented by the gridded version of the ECA dataset (E-OBS) and the Rainfall Estimates on a Gridded Network (REGEN) and the reanalyses data include NCEP/NCAR, the 20th Century Reanalysis dataset (20CR), and the high-resolution 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-south 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&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&D, E-OBS and ERA5 datasets. Conversely, the NCEP/NCAR and 20CR reanalyses exhibit the most significant disparities in trends for all precipitation characteristics.
Trvalý link: https://hdl.handle.net/11104/0367972