Abstract
Areal Mean Precipitation (AMP) uncertainties have been a long concerning issue. It is necessary to quantify the AMP error and assess its impacts on Rainfall Runoff (RR) simulation, which is one of the guidance for improving the accuracy and robustness of RR models. In this paper, AMP uncertainties were quantified by both published and proposed indices in five variety sized catchments in Asia. Moreover, AMP errors were also computed using both in-situ observations and remote sensing data. Satellite based precipitation product (GsMAP-MVK) was used with the effort to mitigate the problem of sparse data, especially severe in poorly gauged river basins. The declining trends in the relation of model performances and AMP error have been observed. The AMP error estimation was improved when accounting for the spatial variability of precipitation and the gauge locations along with the gauge density. The daily basis GsMAP-MVK grasps the precipitation variability in space better than the annual basis and it can reliably use to estimate the AMP error based on “Sample Design method” (Esdd).
