Reduction of uncertainties in surface heat flux over the Tibetan Plateau from <scp>ERA‐Interim</scp> to <scp>ERA5</scp>

Serving as the successor to ERA-Interim dataset, a new global reanalysis (i.e., ERA5) has been released by European Centre for Medium-Range Weather Forecasts. However, evaluation of performance ERA5 in relation Tibetan Plateau (TP) remains lacking. Using situ eddy covariance observations from eight stations located on TP, this study evaluated uncertainties both and ERA-Interim. Results showed that effectively corrects overestimation sensible heat flux (H) latent (LE) over which is severe In most seasons, bias errors (BEs) H LE are generally smaller than ERA-Interim, although BEs wintertime spring autumn not decreased significantly ERA5. The spatiotemporal relationships with Global Land Data Assimilation System (GLDAS) Evaporation Amsterdam Model (GLEAM) data were investigated. Analysis correlation coefficients root mean squared revealed large inconsistency between ERA5/ERA-Interim GLDAS, but good agreement GLEAM. Overall, level GLEAM was better Anomaly (ACCs) two ERA datasets (ERA5 ERA-Interim) reference (GLDAS GLEAM) also ACC results further confirmed terms TP.