A multi-dataset analysis of precipitation trends in Europe
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F25%3A00637016" target="_blank" >RIV/68378289:_____/25:00637016 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11310/25:10514641
Result on the web
<a href="https://journals.ametsoc.org/view/journals/hydr/aop/JHM-D-24-0114.1/JHM-D-24-0114.1.xml" target="_blank" >https://journals.ametsoc.org/view/journals/hydr/aop/JHM-D-24-0114.1/JHM-D-24-0114.1.xml</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1175/JHM-D-24-0114.1" target="_blank" >10.1175/JHM-D-24-0114.1</a>
Alternative languages
Result language
angličtina
Original language name
A multi-dataset analysis of precipitation trends in Europe
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Hydrometeorology
ISSN
1525-755X
e-ISSN
1525-7541
Volume of the periodical
26
Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
13
Pages from-to
1003-1015
UT code for WoS article
001593037200004
EID of the result in the Scopus database
2-s2.0-105013805609