Zobrazeno 1 - 3
of 3
pro vyhledávání: '"A. T. Teweldebrhan"'
Publikováno v:
Hydrology and Earth System Sciences, Vol 24, Pp 4641-4658 (2020)
Monte Carlo (MC) methods have been widely used in uncertainty analysis and parameter identification for hydrological models. The main challenge with these approaches is, however, the prohibitive number of model runs required to acquire an adequate sa
Externí odkaz:
https://doaj.org/article/7ab67c79364247d690ea5162a15bf400
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 5021-5039 (2018)
Parameter uncertainty estimation is one of the major challenges in hydrological modeling. Here we present parameter uncertainty analysis of a recently released distributed conceptual hydrological model applied in the Nea catchment, Norway. Two var
Externí odkaz:
https://doaj.org/article/37b4bf11b2c0411c909874c2f95cf947
Publikováno v:
Remote Sensing, Vol 11, Iss 1, p 28 (2018)
Remote sensing fractional snow cover area (fSCA) has been increasingly used to get an improved estimate of the spatiotemporal distribution of snow water equivalent (SWE) through reanalysis using different data assimilation (DA) schemes. Although the
Externí odkaz:
https://doaj.org/article/e9becf589fb546bd92c98c16a237a8a3