Qiang Li

Divergent responses of streamflow reanalysis errors to precipitation reanalysis errors modulated by catchment heterogeneity

Streamflow reanalysis is vital for water resources management and climate impact assessment; however, the extent to which it is affected by precipitation forcing errors remains poorly understood. Focusing on the Global Flood Awareness System driven by the European Centre for Medium-Range Weather Forecasts Reanalysis...

Divergent responses of streamflow reanalysis errors to precipitation re-analysis errors modulated by catchment heterogeneity

Quantifying the responses of AI precipitation forecast errors to reanalysis errors using analysis of covariance

The use of the analysis of covariance (ANCOVA) method contributes to understandings of factors governing precipitation forecast errors and highlights the need to consider inherent uncertainties in climate reanalysis when training and evaluating AI weather models.