Hydrological uncertainty processor (HUP) with estimation of the marginal distribution by a Gaussian mixture model
K Feng, J Zhou, Y Liu, C Lu, Z He - Water Resources Management, 2019 - Springer
Uncertainty assessments of hydrological prediction results can reflect additional
hydrological information and reveal important hydrological characteristics of river basins,
which is of great significance to disaster prevention and reduction. The hydrological
uncertainty processor (HUP), which is a key part of the Bayesian forecasting system (BFS),
has derived a variety of methods for hydrological uncertainty forecasting. The HUP allows for
any form of marginal distributions of hydrological data and does not require a unified …
hydrological information and reveal important hydrological characteristics of river basins,
which is of great significance to disaster prevention and reduction. The hydrological
uncertainty processor (HUP), which is a key part of the Bayesian forecasting system (BFS),
has derived a variety of methods for hydrological uncertainty forecasting. The HUP allows for
any form of marginal distributions of hydrological data and does not require a unified …
Hydrological uncertainty processor (HUP) with estimation of the marginal distribution by a Gaussian mixture model.
FKL Feng KuaiLe, ZJZ Zhou JianZhong, LY Liu Yi… - 2019 - cabidigitallibrary.org
Uncertainty assessments of hydrological prediction results can reflect additional
hydrological information and reveal important hydrological characteristics of river basins,
which is of great significance to disaster prevention and reduction. The hydrological
uncertainty processor (HUP), which is a key part of the Bayesian forecasting system (BFS),
has derived a variety of methods for hydrological uncertainty forecasting. The HUP allows for
any form of marginal distributions of hydrological data and does not require a unified …
hydrological information and reveal important hydrological characteristics of river basins,
which is of great significance to disaster prevention and reduction. The hydrological
uncertainty processor (HUP), which is a key part of the Bayesian forecasting system (BFS),
has derived a variety of methods for hydrological uncertainty forecasting. The HUP allows for
any form of marginal distributions of hydrological data and does not require a unified …
以上显示的是最相近的搜索结果。 查看全部搜索结果