A multi-dataset analysis of precipitation trends in Europe

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/00216208:11310/25:10514641

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

A multi-dataset analysis of precipitation trends in Europe

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

A multi-dataset analysis of precipitation trends in Europe

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Hydrometeorology

ISSN

1525-755X

e-ISSN

1525-7541

Svazek periodika

26

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

13

Strana od-do

1003-1015

Kód UT WoS článku

001593037200004

EID výsledku v databázi Scopus

2-s2.0-105013805609