Hydrological modelling using proxies for gauged precipitation and temperature

摘要: Precipitation and temperature time series suffer from many problems, such as short time, inadequate spatial coverage, missing data, biases various causes, which are particularly critical in remote areas Northern Canada. The development of alternative datasets for using proxies inadequate/missing weather data represents a key research area. In this paper, the performance 6 is evaluated hydrological modelling over 12 watersheds located across Canada contiguous United States. can be classified into 3 distinct categories: (a) interpolated gridded (b) reanalysis (c) climate model outputs. Hydrological simulations were carried out lumped conceptual calibrated standard compared against results calibration specific to each dataset. Prior simulations, all with respect their ability reproduce daily precipitation characteristics North America. show that both adequately represent pattern American Regional Reanalysis (NARR) dataset consistently shows best performance. With modelling, observed discharges accurately represented by NARR datasets, more so data. National Centers Environmental Prediction performs worst it unable even capture seasonal streamflow watersheds. These indicate could used proxy gauged where observational deficient. also illustrate performing when driven at boundaries, especially high-resolution models.