Evaluating the ALADIN-climate model reanalysis over Central Europe DOI Creative Commons
Romana Beranová, Michal Belda, Radmila Brožková

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: unknown, P. 107809 - 107809

Published: Nov. 1, 2024

Language: Английский

TEMLI: A High-Resolution Air Temperature Estimation Using Machine Learning and Land Surface Data Across Morocco DOI Creative Commons
Wiam Salih, El Mahdi El Khalki, Victor Ongoma

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Language: Английский

Citations

0
A Comparative Analysis of Air Temperature Data from Automatic Weather Station and ERA5-Land Reanalysis in Java DOI Open Access
Mursid Raharjo,

IS Lukito,

Martarizal

et al.

Journal of Physics Conference Series, Journal Year: 2025, Volume and Issue: 2989(1), P. 012030 - 012030

Published: April 1, 2025

Abstract The present work assesses the relationship between air temperature measurements obtained from Automatic Weather Stations (AWS) and ERA5-Land reanalysis data in Java, Indonesia. statistical indicators, including Pearson correlation coefficient (r), mean bias error (MBE), absolute (MAE), were analyzed on five AWS sites with different heights. Analysis reveals strong correlations (r > 0.9) datasets, except for Dieng, which exhibits a weaker = 0.75) substantial overestimation (MBE 5.64). In general, underestimates temperatures, an average discrepancy of roughly 2°C. An examination qualitative constraints accurately representing local microclimates because intricate geography. Subsequent research will extend this analysis to encompass Indonesia enhance interpolation regression models get more accurate estimation data.

Language: Английский

Citations

0
LSTM and Transformer-based framework for bias correction of ERA5 hourly wind speeds DOI Creative Commons
Freddy Houndekindo, Taha B. M. J. Ouarda

Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136498 - 136498

Published: May 1, 2025

Language: Английский

Citations

0
Stationary and nonstationary extreme value modeling of maximum temperatures in Peninsular Malaysia using different reanalysis datasets DOI

Hui Qi Chua,

Muhammad Aslam Mohd Safari

Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(6)

Published: May 17, 2025

Language: Английский

Citations

0
Multi-scale assessment of high-resolution reanalysis precipitation fields over Italy DOI Creative Commons
Francesco Cavalleri, Cristian Lussana, Francesca Viterbo

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: unknown, P. 107734 - 107734

Published: Oct. 1, 2024

Language: Английский

Citations

1
Leveraging observations and model reanalyses to support regional climate change adaptation activities: An integrated assessment for the Marche Region (Central Italy) DOI Creative Commons
Alice Crespi, Anna Napoli, Gaia Galassi

et al.

Climate Services, Journal Year: 2024, Volume and Issue: 36, P. 100512 - 100512

Published: Aug. 27, 2024

Language: Английский

Citations

0
Evaluation of national and international gridded meteorological products for rainfall-runoff modelling in Northern Italy DOI Creative Commons
Gökhan Sarigil, Mattia Neri, Elena Toth

et al.

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 56, P. 102031 - 102031

Published: Nov. 4, 2024

Language: Английский

Citations

0
MERIDA HRES: A new high‐resolution reanalysis dataset for Italy DOI Creative Commons
Francesca Viterbo, Simone Sperati, Bruno Vitali

et al.

Meteorological Applications, Journal Year: 2024, Volume and Issue: 31(6)

Published: Nov. 1, 2024

Abstract Power utilities are increasingly emphasizing the need for high‐resolution reanalysis datasets to develop resilience plans protecting and managing infrastructure against extreme weather events. In response, Ricerca Sul Sistema Energetico (RSE) S.p.A. created new MEteorological Reanalysis Italian DAtaset (MERIDA) High‐RESolution (HRES) reanalysis, a 4‐km resolution dataset with explicit convection specifically designed Italy. This dataset, publicly available from 1986 present, has been evaluated compared previously developed MERIDA (7‐km over Italy) ERA5, global driver. The validation is conducted across different scales (i.e., climatology single events) multiple variables 2‐meter temperature, daily total precipitation, 10‐meter wind speed). Specific cases, such as convective storm in July 2016 northern Italy near Bergamo more synoptically driven Vaia October 2018, analyzed illustrate dataset's potential capturing precipitation extremes. Additionally, Arbus wildfire event Sardinia examined showcase multivariable application assessing fire hazards. Through performance maps statistical analyses, ability of HRES represent both long‐term statistics events highlighted. Despite consistent cold temperature bias Italy, higher peaks mountainous regions, outperforms that ERA5 all cases. These findings demonstrate significant this product applications

Language: Английский

Citations

0
Evaluating the ALADIN-climate model reanalysis over Central Europe DOI Creative Commons
Romana Beranová, Michal Belda, Radmila Brožková

et al.

Atmospheric Research, Journal Year: 2024, Volume and Issue: unknown, P. 107809 - 107809

Published: Nov. 1, 2024

Language: Английский

Citations

0