作者: ,
DOI: 10.3390/W9070532
关键词:
摘要: Estimation of total discharge is necessary to understand the hydrological cycle and manage water resources efficiently. However, task problematic in an area where ground observations are limited. The North Korea region one example. Here, was estimated based on balance using multiple satellite products. They terrestrial storage changes (TWSC) derived from Gravity Recovery Climate Experiment (GRACE), precipitation Tropical Rainfall Measuring Mission (TRMM), evapotranspiration Moderate Resolution Imaging Spectroradiometer (MODIS). satellite-based compared with land surface model products Global Land Data Assimilation System (GLDAS), a positive relationship between results obtained (r = 0.70–0.86; bias −9.08–16.99 mm/month; RMSE 36.90–62.56 NSE 0.01–0.62). Among four models GLDAS (CLM, Mosaic, Noah, VIC), CLM corresponded best discharge, has tendency slightly overestimate model-based VIC) dry season. Also, data Precipitation-Runoff Modeling (PRMS) situ for major five river basins South show comparable seasonality high correlation discharge. In spite relatively low spatial resolution GRACE, loss information incurred during process integrating three different products, proposed methodology can be practical tool estimate reasonable accuracy, especially scarce hydrologic data.