Evaluating the ALADIN-Climate Model Reanalysis over Central Europe
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F24%3AN0000090" target="_blank" >RIV/00020699:_____/24:N0000090 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S016980952400591X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S016980952400591X?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.atmosres.2024.107809" target="_blank" >10.1016/j.atmosres.2024.107809</a>
Alternative languages
Result language
angličtina
Original language name
Evaluating the ALADIN-Climate Model Reanalysis over Central Europe
Original language description
Reanalysis is a well-established tool for monitoring the state of the atmosphere. This study aims at validating the ALADIN-Climate (AC) model reanalysis over Europe with a focus on Central Europe. The AC model is based on the ALARO model configuration and belongs to convection permitting models. Its horizontal resolution is 2.3 km. We evaluated a 25-year long period (1990–2014) and we performed the validation process using measurements from ground-based meteorological data over Europe to assess the ability of the AC model to simulate temperature, precipitation, relative humidity, wind speed, and global radiation. The AC model reanalysis tends to overestimate minimum daily temperature and underestimate maximum daily temperature, with larger differences observed during summer. Winter precipitation totals are overestimated by nearly 50 %, partly due to an overestimation of wet days, while summer precipitation is less overestimated (by 13 %). Relative humidity is consistently overestimated across the model domain in winter, whereas in summer it is variable. Wind speed is overestimated in both summer and winter, and global radiation is also overestimated, especially in winter. Although some variables, like winter precipitation, exhibit significant biases, the overall differences between the AC model reanalysis and station data are consistent with other reanalyses, such as CERRA and ERA5. Biases in the AC model reanalysis are not only caused by the model's imperfections and errors, but also by potential systematic errors at measuring stations. Given its high spatial resolution, this AC regional reanalysis offers a valuable source for further climate studies in Central Europe.
Czech name
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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OECD FORD branch
10510 - Climatic research
Result continuities
Project
<a href="/en/project/SS02030040" target="_blank" >SS02030040: Prediction, Evaluation and Research for Understanding National sensitivity and impacts of drought and climate change for Czechia</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Atmospheric Research
ISSN
0169-8095
e-ISSN
1873-2895
Volume of the periodical
314
Issue of the periodical within the volume
March 2025
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
11
Pages from-to
nestrankovano
UT code for WoS article
001363628200001
EID of the result in the Scopus database
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