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RISMixture ensemble Kalman filters
ناشر: Elsevier Science
سال: 2013
Kalman filter variants in the closed skew normal setting
ناشر: Elsevier Science
سال: 2014
Assimilation of point SWE data into a distributed snow cover model comparing two contrasting methods
ناشر: American Geophysical Union
سال: 2014
Application of ensemble based data assimilation techniques for aquifer characterization using tracer data at Hanford 300 area
ناشر: American Geophysical Union
سال: 2013
A partitioned update scheme for state parameter estimation of distributed hydrologic models based on the ensemble Kalman filter
ناشر: American Geophysical Union
سال: 2013
Comparison of ensemble filtering algorithms and null space Monte Carlo for parameter estimation and uncertainty quantification using CO2 sequestration data
ناشر: American Geophysical Union
سال: 2013
The 10,240 member ensemble Kalman filtering with an intermediate AGCM
ناشر: American Geophysical Union
سال: 2014
Joint assimilation of piezometric heads and groundwater temperatures for improved modeling of river aquifer interactions
ناشر: American Geophysical Union
سال: 2014
Constraining a compositional flow model with flow chemical data using an ensemble based Kalman filter
ناشر: American Geophysical Union
سال: 2014
The benefits of using remotely sensed soil moisture in parameter identification of large scale hydrological models
ناشر: American Geophysical Union
سال: 2014