Application of Parameter Screening to Derive Optimal Initial State Adjustments for Streamflow Forecasting

Improving hydropower inflow forecasts by assimilating snow data

(2020) Jan Magnusson et al.   HYDROLOGY RESEARCH

Particle filter data assimilation of monthly snow depth observations improves estimation of snow density and SWE

(2019) Eric J. Smyth et al.   WATER RESOURCES RESEARCH

The Quest for Model Uncertainty Quantification: A Hybrid Ensemble and Variational Data Assimilation Framewor

(2019) Peyman Abbaszadeh et al.   WATER RESOURCES RESEARCH

Improving Monthly Streamflow Forecasts through Assimilation of Observed Streamflow for Rainfall-Dominated Basins across the CONUS

(2019) Amirhossein Mazrooei et al.   JOURNAL OF HYDROLOGY

A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation

(2019) Qiuru Zhang et al.   ADVANCES IN WATER RESOURCES

An extension of data assimilation into the short-term hydrologic forecast for improved prediction reliability

(2019) James M. Leach et al.   ADVANCES IN WATER RESOURCES

Ensemble Streamflow Forecasting Using an Energy Balance Snowmelt Model Coupled to a Distributed Hydrologic Model with Assimilation of Snow and Streamflow Observations

(2019) Tseganeh Z. Gichamo et al.   WATER RESOURCES RESEARCH

Enhancing hydrologic data assimilation by evolutionary Particle Filter and Markov Chain Monte Carlo

(2018) Peyman Abbaszadeh et al.   ADVANCES IN WATER RESOURCES

Data-Driven Model Uncertainty Estimation in Hydrologic Data Assimilation

(2018) S. Pathiraja et al.   WATER RESOURCES RESEARCH

A review of operational methods of variational and ensemble-variational data assimilation

(2017) R. N. Bannister   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Variational assimilation of streamflow data in distributed flood forecasting

(2017) Giulia Ercolani et al.   WATER RESOURCES RESEARCH

The impact of standard and hard-coded parameters on the hydrologic fluxes in the Noah-MP land surface model

(2016) Matthias Cuntz et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Comparison of Sequential and Variational Streamflow Assimilation Techniques for Short-Term Hydrological Forecasting

(2015) Mabrouk Abaza et al.   JOURNAL OF HYDROLOGIC ENGINEERING

On the difficulty to optimally implement the Ensemble Kalman filter: An experiment based on many hydrological models and catchments

(2015) A. Thiboult et al.   JOURNAL OF HYDROLOGY

Computationally inexpensive identification of noninformative model parameters by sequential screening

(2015) Matthias Cuntz et al.   WATER RESOURCES RESEARCH

Assessing model state and forecasts variation in hydrologic data assimilation

(2014) Jos Samuel et al.   JOURNAL OF HYDROLOGY

Improving particle filters in rainfall-runoff models: Application of the resample-move step and the ensemble Gaussian particle filter

(2013) Douglas A. Plaza Guingla et al.   WATER RESOURCES RESEARCH

Examining the effectiveness and robustness of sequential data assimilation methods for quantification of uncertainty in hydrologic forecasting

(2012) Caleb M. DeChant et al.   WATER RESOURCES RESEARCH

From screening to quantitative sensitivity analysis. A unified approach

(2011) Francesca Campolongo et al.   COMPUTER PHYSICS COMMUNICATIONS

The role of initial conditions and forcing uncertainties in seasonal hydrologic forecasting

(2009) Haibin Li et al.   JOURNAL OF GEOPHYSICAL RESEARCH

Automatic state updating for operational streamflow forecasting via variational data assimilation

(2009) Dong-Jun Seo et al.   JOURNAL OF HYDROLOGY

Seasonal Predictability of European Discharge: NAO and Hydrological Response Time

(2009) M. F. P. Bierkens et al.   JOURNAL OF HYDROMETEOROLOGY

Correcting Unintended Perturbation Biases in Hydrologic Data Assimilation

(2009) Dongryeol Ryu et al.   JOURNAL OF HYDROMETEOROLOGY

An adaptive ensemble Kalman filter for soil moisture data assimilation

(2008) Rolf H. Reichle et al.   WATER RESOURCES RESEARCH