The ensemble Kalman filter: Theoretical formulation and practical implementation
G Evensen - Ocean dynamics, 2003 - Springer
The purpose of this paper is to provide a comprehensive presentation and interpretation of
the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large …
the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large …
Recent advances and new frontiers in riverine and coastal flood modeling
Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …
flooding conditions using a variety of complex physically based models. Despite all …
[BOOK][B] Data-driven science and engineering: Machine learning, dynamical systems, and control
SL Brunton, JN Kutz - 2022 - books.google.com
Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
[BOOK][B] Rank issues
G Evensen, G Evensen - 2009 - Springer
It is in the previous chapters stated that the EnKF analysis scheme may have problems in
cases where the number of measurements is larger than the number of members in the …
cases where the number of measurements is larger than the number of members in the …
Ensemble smoother with multiple data assimilation
In the last decade, ensemble-based methods have been widely investigated and applied for
data assimilation of flow problems associated with atmospheric physics and petroleum …
data assimilation of flow problems associated with atmospheric physics and petroleum …
An extended SEIR model with vaccination for forecasting the COVID-19 pandemic in Saudi Arabia using an ensemble Kalman filter
In this paper, an extended SEIR model with a vaccination compartment is proposed to
simulate the novel coronavirus disease (COVID-19) spread in Saudi Arabia. The model …
simulate the novel coronavirus disease (COVID-19) spread in Saudi Arabia. The model …
“Panta Rhei—everything flows”: change in hydrology and society—the IAHS scientific decade 2013–2022
Abstract The new Scientific Decade 2013–2022 of IAHS, entitled “Panta Rhei—Everything
Flows”, is dedicated to research activities on change in hydrology and society. The purpose …
Flows”, is dedicated to research activities on change in hydrology and society. The purpose …
Dual state–parameter estimation of hydrological models using ensemble Kalman filter
Hydrologic models are twofold: models for understanding physical processes and models
for prediction. This study addresses the latter, which modelers use to predict, for example …
for prediction. This study addresses the latter, which modelers use to predict, for example …
Uncertainty in hydrologic modeling: Toward an integrated data assimilation framework
Y Liu, HV Gupta - Water resources research, 2007 - Wiley Online Library
Despite significant recent developments in computational power and distributed hydrologic
modeling, the issue of how to adequately address the uncertainty associated with …
modeling, the issue of how to adequately address the uncertainty associated with …
A review of current methodologies for regional evapotranspiration estimation from remotely sensed data
An overview of the commonly applied evapotranspiration (ET) models using remotely
sensed data is given to provide insight into the estimation of ET on a regional scale from …
sensed data is given to provide insight into the estimation of ET on a regional scale from …