Evaluation of European Meteorological Observations gridded data  of air temperature and precipitation amount over Danube River Basin (1990-2022) 

• DOI: 10.5194/egusphere-egu25-16995
• Publication Date: 2025-03-15T04:22:26Z
• Authors: Vlad Amihăesei; Sorin Cheval; Zenaida Chitu; Andrei Radu; Catalina Petre; Tamás Ács; Zsolt Kozma; Máté György; Viorel Chendeș

Large-scale hydrological models simulate the water cycle for regions, countries, and continents. The choice of input data directly impacts accuracy these models' final output spatial temporal pattern, as well quality (air temperature precipitation), influences pattern availability estimates. It is essential to acknowledge that estimates depends on used.In this regard, precipitation air gridded European Meteorological Observations (EMO1) datasets specifically used modeling inputs (CWATM) are evaluated over Danube River Basin (DRB). observation precipitation) from 9 different countries within DRB EMO1’s evaluation.  performance was at daily, monthly, annual scales, using Pearson Correlation (r), root mean square errors (RMSE), absolute (MAE), Nash Sutcliffe Efficiency (NSE), Percent Bias (PBIAS), Kling Gupta (KGE) criterion.The results showed range differences varies between approximately -3°C +2°C. This reflects both underestimations overestimations by EMO1 compared observations. median close 0 most months, indicating model generally unbiased or well-calibrated overall. Larger variability more outliers occur in warmer months (e.g., May–August), suggesting may struggle with accurately capturing summer dynamics. For precipitation, slightly positive, a systematic overestimation during months. could be due overestimating convective rainfall. By identifying periods where EMO-1 deviates observations, researchers can target specific processes calibration refinement, which especially important hydrological  applicationsAcknowledgment This work supported part DANUBE WATER BALANCE, an Interreg Region Programme project co-funded Union.