Nitrate reduction in geologically heterogeneous catchments—A framework for assessing the scale of predictive capability of hydrological models
In order to fulfil the requirements of the EU Water Framework Directive nitrate load from
agricultural areas to surface water in Denmark needs to be reduced by about 40%. The …
agricultural areas to surface water in Denmark needs to be reduced by about 40%. The …
Impact of radar‐rainfall error structure on estimated flood magnitude across scales: An investigation based on a parsimonious distributed hydrological model
The goal of this study is to diagnose the manner in which radar‐rainfall input affects peak
flow simulation uncertainties across scales. We used the distributed physically based …
flow simulation uncertainties across scales. We used the distributed physically based …
Estimating the uncertainty of hydrological predictions through data-driven resampling techniques
AE Sikorska, A Montanari… - Journal of Hydrologic …, 2015 - ascelibrary.org
Estimating the uncertainty of hydrological models remains a relevant challenge in applied
hydrology, mostly because it is not easy to parameterize the complex structure of …
hydrology, mostly because it is not easy to parameterize the complex structure of …
A Bayesian partial pooling approach to mean field bias correction of weather radar rainfall estimates: Application to Osungsan weather radar in South Korea
The use of radar rainfall estimates has been limited by the lack of a reliable method of
obtaining operationally accurate radar-based rainfall estimates and the associated potential …
obtaining operationally accurate radar-based rainfall estimates and the associated potential …
Assessing hydrological model predictive uncertainty using stochastically generated geological models
In distributed and coupled surface water–groundwater modelling, the uncertainty from the
geological structure is unaccounted for if only one deterministic geological model is used. In …
geological structure is unaccounted for if only one deterministic geological model is used. In …
Evaluation of the radar QPE and rain gauge data merging methods in Northern China
Q Qiu, J Liu, J Tian, Y Jiao, C Li, W Wang, F Yu - Remote Sensing, 2020 - mdpi.com
Radar-rain gauge merging methods have been widely used to produce high-quality
precipitation with fine spatial resolution by combing the advantages of the rain gauge …
precipitation with fine spatial resolution by combing the advantages of the rain gauge …
Probabilistic evaluation of ensemble discharge nowcasts in two nested Alpine basins prone to flash floods
The quality of hydrological discharge simulations depends to a great extent on the
uncertainties in the meteorological input and the model parameterization. To quantify these …
uncertainties in the meteorological input and the model parameterization. To quantify these …
Modular neural networks with fully convolutional networks for typhoon-induced short-term rainfall predictions
CC Wei, TH Huang - Sensors, 2021 - mdpi.com
Taiwan is located at the edge of the northwestern Pacific Ocean and within a typhoon zone.
After typhoons are generated, strong winds and heavy rains come to Taiwan and cause …
After typhoons are generated, strong winds and heavy rains come to Taiwan and cause …
The multi temporal/multi-model approach to predictive uncertainty assessment in real-time flood forecasting
This work extends the multi-temporal approach of the Model Conditional Processor (MCP-
MT) to the multi-model case and to the four Truncated Normal Distributions (TNDs) …
MT) to the multi-model case and to the four Truncated Normal Distributions (TNDs) …
Mean and extreme precipitation over Aotearoa New Zealand: A comparison across multiple different estimation techniques
This study provides a comprehensive evaluation of mean and extreme precipitation features
over Aotearoa New Zealand (hereafter New Zealand or NZ) in station data and in six …
over Aotearoa New Zealand (hereafter New Zealand or NZ) in station data and in six …