Validation and Bias Correction of Monthly δ18O Precipitation Time Series from ECHAM5-Wiso Model in Central Europe

Simulated stable oxygen isotopic composition (δ18O) of precipitation from isotope-enabled GCMs (iGCMs) have gained significant visibility nowadays. This study evaluates bias correction techniques to reduce the systematic and dispersion biases modelled δ18O by ECHAM5-wiso model compared Global Network Isotopes in Precipitation (GNIP) observations over Central Europe. mean error (MBE) Root Mean Square Error (RMSE) are substantially reduced more than 70% 10%, respectively, depending on scheme, with better results for Generalized Additive Model (GAM) linear scaling approach (SCL) methods. The bias-corrected δ18OECHAM5-wiso values successfully describe long-term amplitude best performances EQM method. necessity applying algorithms is verified excellent agreement between corrected GNIP high-altitude areas where fails reproduce observed variability. expected bring valuable insights into utilization iGCMs’ relationships climate studies understanding present past water cycle under perspective.